Irrigation Dynamics in Canal Command Areas: Quantifying Externality Costs and Economic Trade-offs Across Water User Regimes in the Godavari Basin, India

Irrigation Dynamics in Canal Command Areas: Quantifying Externality Costs and Economic Trade-offs Across Water User Regimes in the Godavari Basin, India | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Irrigation Dynamics in Canal Command Areas: Quantifying Externality Costs and Economic Trade-offs Across Water User Regimes in the Godavari Basin, India Sainath Banda, Deepa M P M, Srikantha Murthy P. S., Ajmer Singh, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9506551/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Persistent inequities in irrigation access and unsustainable groundwater extraction remain critical challenges in the canal command areas of India. This study examines the economic and environmental externalities associated with irrigation practices in the Godavari command area of Telangana, comparing four regimes: surface water (SW), conventional flood-irrigated groundwater (GW-CIF), drip-irrigated groundwater (GW-DIF), and conjunctive water use (CW). Primary data from 180 stratified, randomly selected farmers were analyzed using amortized borewell investment costs and a partial budgeting framework to quantify externalities. One-way ANOVA and post-hoc Tukey HSD tests reveal statistically significant differences (p < 0.001) across irrigation regimes in cost structures and profitability. Negative externality costs per borewell were highest under groundwater-dependent systems, ₹3,830 for GW-CIF and ₹7,291 for GW-DIF, compared to ₹901 under CW, indicating reductions of 76.5% and 87.6%, respectively. Conjunctive users also incurred lower annual irrigation costs (₹16,863 vs. ₹21,184 for GW-CIF), while exclusive groundwater users operated significantly deeper borewells (290–333 ft) than CW users (188 ft). Returns per rupee of irrigation cost were markedly lower under groundwater-based paddy (₹0.95) relative to surface-irrigated systems (₹5.85). The findings highlight how head-end over-extraction of surface water intensifies groundwater dependence among tail-end farmers, reinforcing spatial inequities and ecological stress. The persistence of water-intensive paddy cultivation, incentivized by Minimum Support Price (MSP) policies, further constrains diversification. The study underscores the economic and environmental gains from conjunctive water use and calls for policy reforms centered on tiered water pricing, improved canal water governance, and alignment of market incentives with sustainable water use. JEL Classification: Q15, Q25, Q58 Irrigation command areas groundwater externalities conjunctive use borewell failure partial budgeting water governance Telangana Figures Figure 1 Figure 2 1. Introduction Canal irrigation has been central to India's agricultural development for centuries, underpinning food security, rural livelihoods, and agrarian transformation. Yet the gradual deterioration of canal infrastructure, inequitable water distribution, and institutional weaknesses have increasingly rendered surface water unreliable, prompting farmers, especially in mid and tail-end reaches of command areas, to pivot towards groundwater as a supplementary, and often primary, irrigation source (Manoj & Shobha, 2022; Archana Pandey, 2013 ). The consequences of this transition are now well-documented at the global scale: groundwater depletion has emerged as one of the most critical environmental challenges of our time (Famiglietti, 2014 ; Gleeson et al., 2012 ; Wada et al., 2010 ). India exemplifies this crisis. As the world's largest user of groundwater, India extracts approximately 241.34 billion cubic meters (BCM) per annum (Ministry of Jal Shakti, 2024 ), with the number of operational borewells growing from approximately one million to over 20 million in five decades (Bekele, 2021). Satellite-based GRACE data confirm significant groundwater depletion across the Indo-Gangetic Plains and peninsular river basins (Rodell et al., 2009 ; Tiwari et al., 2009 ). The southern peninsular region, encompassing the Godavari and Krishna river basins, has been identified by the Central Groundwater Board (CGWB, 2023) as one of three zones with alarming overexploitation levels. Within canal command areas, groundwater overextraction arises from a compound problem: head-end farmers over-appropriate surface water due to physical proximity and weak water governance, leaving tail-end farmers disproportionately dependent on groundwater (Molle et al., 2008 ; Birkenholtz, 2016 ). This spatial asymmetry generates layered negative externalities, premature borewell failures, escalating pumping costs, declining water tables, and reduced farm profitability, that are borne unequally across farmer categories. These externalities fit the classical Pigouvian framework, where private extraction decisions impose uncompensated social costs on other users and future generations (Pigou, 1920 ; Sekhri, 2014 ). Furthermore, they constitute a canonical common-pool resource problem, where individual rational action leads to collective over-exploitation in the absence of effective institutional governance (Ostrom, 1990 ; Hardin, 1968 ). Conjunctive use (CU) of surface and groundwater, coordinated utilization of both sources to optimize efficiency and reduce dependence on either alone, is widely recognized as a potential solution (Sophocleous, 2002 ; Van Steenbergen, 2006 ; Kumar et al., 2020 ). However, the empirical evidence on the economic viability of CU versus exclusive groundwater irrigation, especially through the lens of externality quantification, remains sparse in the context of peninsular India. While previous studies have examined groundwater governance in South Asia (Shah et al., 2003 ; Meinzen-Dick, 1996 ), crop water productivity (Narayanamoorthy, 2013 ; Palanisami et al., 2015 ), and the costs of well deepening (Susan & VisTaraz, 2018 ), no study has jointly quantified amortized externality costs of borewell failure, profitability across multiple irrigation regimes, and the economic case for conjunctive use within a single canal command area of peninsular India. This study fills that gap. Using primary survey data from 180 farmers in the Godavari command area of Telangana, this study: (i) estimates externality costs arising from borewell failures across SW, GW-CIF, GW-DIF, and CW irrigation regimes; (ii) compares irrigation costs, water use efficiency, and crop profitability across user categories; (iii) tests whether differences in these indicators are statistically significant using one-way ANOVA and post-hoc comparisons; and (iv) assesses the partial budgeting-based profitability of conjunctive use relative to exclusive groundwater irrigation. The study tests the following hypotheses: H 0 : Conjunctive use irrigation does not significantly reduce negative externality costs per borewell relative to exclusive groundwater use; H A : Conjunctive use irrigation significantly reduces negative externality costs relative to exclusive groundwater use. The null hypothesis was rejected at p < 0.001 based on ANOVA results. 2. Theoretical and Conceptual Framework 2.1 Externalities in Groundwater Use Groundwater overextraction in shared aquifer systems creates negative externalities that diverge private costs from social costs — the cornerstone of Pigouvian welfare economics (Pigou, 1920 ). When a farmer drills deeper to access declining water tables driven by neighbours' extraction, or bears the capital loss of a prematurely failed borewell, these costs arise from others' decisions yet are borne privately. This divergence justifies policy intervention through Pigouvian taxes (water pricing), regulations, or institutional arrangements that internalize the external cost (Kolstad, 2000 ; Tietenberg & Lewis, 2016 ). Coase ( 1960 ) argued that in the presence of clearly defined property rights and negligible transaction costs, parties would negotiate efficient outcomes regardless of initial rights allocation. However, groundwater in India is governed by the principle of absolute dominion — effectively open access — making Coasian bargaining infeasible at scale. The absence of a public trust doctrine for groundwater compounds the overexploitation incentive (Kulkarni et al., 2015 ; Granö, 2024 ). Ostrom's (1990) framework for governing common-pool resources offers a more practical lens. She documented how communities in diverse settings devised locally crafted institutions to manage shared resources sustainably, often outperforming both market and state solutions. The conditions she identified — clearly defined boundaries, rules matched to local conditions, collective choice arrangements, monitoring, graduated sanctions, conflict resolution mechanisms, and recognition by external authorities — have direct relevance to groundwater governance in canal command areas (Meinzen-Dick et al., 2016 ; Grafton et al., 2018 ). 2.2 Conjunctive Use: Concept and Evidence Conjunctive use (CU) refers to the planned integration of surface water and groundwater resources to optimize total water supply, minimize adverse impacts, and improve system-level efficiency (Sophocleous, 2002 ; Venkataramana et al., 2020 ). Unlike exclusive reliance on either source, CU leverages surface water during adequate canal flows and groundwater during deficits, reducing pressure on aquifers and stabilizing aquifer recharge patterns. Evidence from South Asia (Kumar et al., 2018 ), the Middle East (Qureshi et al., 2010 ), and semi-arid regions globally (Famiglietti, 2014 ) confirms CU's potential to reduce externality costs and improve system resilience. In India's canal command areas, however, CU adoption faces structural barriers. Policy frameworks have historically treated surface and groundwater management in silos, with canal agencies focused on delivery quotas while groundwater regulation has remained fragmented and weakly enforced (Rao & Rao, 2016 ; Shah et al., 2013 ). The result is a paradox: farmers nearest the canal over-extract surface water, while tail-end farmers over-extract groundwater, with neither internalizing the full cost of their resource use (Molle et al., 2008 ). 2.3 Key Definitions Initial failure of a borewell A borewell that failed to yield groundwater immediately after drilling and never produced water thereafter, representing a complete loss of drilling investment. Subsistence life of a borewell The number of years a borewell yields groundwater within the payback period (PBP); determines whether initial investment was recovered. Premature failure A borewell that ceases to yield groundwater before reaching its subsistence life or PBP, indicating inefficient groundwater management and resulting in economic losses. Economic life of a borewell The number of years a borewell continued to yield groundwater after exceeding its PBP, representing long-term economic utility. Conjunctive Water Users (CW) Farmers who coordinate the use of both surface water (from the canal) and groundwater (from borewells), relying on groundwater primarily as a buffer during surface water shortages. 3. Data and Methods 3.1 Study Area The Karimnagar and Warangal districts of Telangana, lying within the Godavari command area of the Lower Manair Dam (LMD), were selected for their representativeness of the head-middle-tail irrigation gradient and their acute groundwater stress. The LMD, constructed at the confluence of the Manair and Mohedamada rivers, commands a catchment of 6,464 km² and stores approximately 680 million cubic metres of water, enabling irrigation across 163,000 hectares. Telangana's agricultural sector benefits from two major river systems — the Godavari and the Krishna — both of which face increasing pressure from agricultural water demand, with the Godavari basin recording significant groundwater depletion in recent assessments (CGWB, 2023). The region is representative of peninsular India's agrarian groundwater crisis (Rodell et al., 2009 ), making it an ideal study area for externality analysis. 3.2 Agricultural Landscape Paddy is the dominant crop in the command area, covering 198,000 hectares annually (32.5% of gross cropped area), reflecting the region's strong surface irrigation infrastructure and assured procurement through government mechanisms. Cotton is the second most important crop (158,700 ha; 26% of GCA), followed by maize, red gram, and vegetables on smaller scales. The predominance of paddy despite its high water intensity (requiring 77–90 acre-inches per season) is closely tied to Minimum Support Price (MSP) guarantees and well-developed procurement infrastructure (Ramesh Chand, 2017 ). This policy context creates strong crop-switching rigidities that interact with water governance challenges. 3.3 Sampling and Data Collection Three water user categories were delineated: (1) Surface Water users (SW; n = 60), (2) Groundwater users (GW; n = 60, comprising 72 GW-CIF and 4 GW-DIF sub-groups by irrigation method), and (3) Conjunctive Water users (CW; n = 60). Farmers were selected through stratified random sampling using farmer lists obtained from local agricultural extension offices, ensuring adequate representation of irrigation practices and socioeconomic diversity across the command area. Primary data were collected through a semi-structured questionnaire pre-tested on a pilot sample of 15 farmers. The survey instruments captured irrigation infrastructure characteristics, borewell drilling and operational costs, crop-wise input costs and output data, groundwater table trends, borewell failure history, and externality indicators. Data collection was conducted during the 2017–2018 crop year in coordination with district agricultural extension offices. 3.4 Measurement of Water Quantities 3.4.1 Surface Water Quantity of water extracted = Number of irrigations × Depth of irrigation (cm) × Area irrigated (ha) 3.4.2 Groundwater (Volumetric Analysis) A volumetric method was used to compute water yield from each irrigation borewell based on pump discharge rate (GPH), operating hours, and irrigation events. One acre-inch = 22,611 gallons. 3.5 Amortized Cost of Borewell and Externality Estimation 3.5.1 Amortized Cost of Borewell (AC) The amortized cost was computed using the following formula: $$\:\varvec{A}\varvec{C}\:=\:\varvec{C}\varvec{C}\:\times\:\:\left[\right(1+\varvec{i})^\varvec{A}\varvec{L}\:\times\:\:\varvec{i}]\:/\:\left[\right(1+\varvec{i})^\varvec{A}\varvec{L}\:-\:1]\:...\:\left(1\right)$$ Where CC = Compounded historical investment cost at the reference year; i = discount rate (2% real); AL = average economic life in years (from survey data). The compounded cost was derived as: $$\:\varvec{C}\varvec{C}\:=\:\varvec{H}\varvec{i}\varvec{s}\varvec{t}\varvec{o}\varvec{r}\varvec{i}\varvec{c}\varvec{a}\varvec{l}\:\varvec{I}\varvec{n}\varvec{v}\varvec{e}\varvec{s}\varvec{t}\varvec{m}\varvec{e}\varvec{n}\varvec{t}\:\times\:\:(1+\varvec{i})^(\varvec{r}\varvec{e}\varvec{f}\varvec{e}\varvec{r}\varvec{e}\varvec{n}\varvec{c}\varvec{e}\:\varvec{y}\varvec{e}\varvec{a}\varvec{r}\:-\:\varvec{y}\varvec{e}\varvec{a}\varvec{r}\:\varvec{o}\varvec{f}\:\varvec{d}\varvec{r}\varvec{i}\varvec{l}\varvec{l}\varvec{i}\varvec{n}\varvec{g})\:...\:\left(2\right)$$ A discount rate of 2% per annum was adopted, consistent with the prevailing real interest rate on agricultural investment in India during the study period and following Nagaraj et al. ( 2002 ). 3.5.2 Externality Cost per Borewell $$\:Externalitycostperborewell=\left[Amortizedinvestmentoversubsistenceeconomiclife,whicheverisrelevant\right]-\left[WeightedcontributionofwellsthatservedtheirPBPandeconomiclife\right],\:divided\:by\:total\:number\:of\:wells\:on\:the\:farm$$ This captures the irrecoverable capital losses from premature failures and under-productive borewells attributable to groundwater overextraction — the key externality in this analysis. 3.5.3 Cost of Surface Water Surface water was valued following the methodology of Nagaraj et al. ( 2002 ), who estimated the canal water price at ₹12/acre-inch in 2002. This was compounded at 2% per annum to the reference year, yielding ₹16.47/acre-inch for the 2017–18 crop year. 3.6 Partial Budgeting The partial budgeting framework (Kay et al., 2008 ; Jolly, 1983 ) was applied to assess the incremental profitability of switching from exclusive groundwater irrigation (GW) to conjunctive use (CW). The net change formula is: $$\:\varvec{N}\varvec{e}\varvec{t}\:\varvec{C}\varvec{h}\varvec{a}\varvec{n}\varvec{g}\varvec{e}\:=\:(\varvec{A}\varvec{d}\varvec{d}\varvec{i}\varvec{t}\varvec{i}\varvec{o}\varvec{n}\varvec{a}\varvec{l}\:\varvec{R}\varvec{e}\varvec{t}\varvec{u}\varvec{r}\varvec{n}\varvec{s}\:+\:\varvec{R}\varvec{e}\varvec{d}\varvec{u}\varvec{c}\varvec{e}\varvec{d}\:\varvec{C}\varvec{o}\varvec{s}\varvec{t}\varvec{s})\:-\:(\varvec{A}\varvec{d}\varvec{d}\varvec{i}\varvec{t}\varvec{i}\varvec{o}\varvec{n}\varvec{a}\varvec{l}\:\varvec{C}\varvec{o}\varvec{s}\varvec{t}\varvec{s}\:+\:\varvec{R}\varvec{e}\varvec{d}\varvec{u}\varvec{c}\varvec{e}\varvec{d}\:\varvec{R}\varvec{e}\varvec{t}\varvec{u}\varvec{r}\varvec{n}\varvec{s})$$ This approach evaluated irrigation cost savings, yield improvements, labor efficiency gains, and externality cost reductions under the CW regime relative to GW-only practices. The validity of partial budgeting depends on data accuracy, and all cost estimates were validated against published benchmarks (Malcolm et al., 2005 ; Palanisami et al., 2015 ). 3.7 Statistical Analysis To test whether differences in externality costs, irrigation expenditures, and profitability across irrigation regimes were statistically significant, one-way Analysis of Variance (ANOVA) was conducted for each key variable with irrigation regime (SW, GW-CIF, GW-DIF, CW) as the grouping factor. Normality was assessed using the Shapiro-Wilk test; where the normality assumption was violated, the non-parametric Kruskal-Wallis H-test was applied as a robustness check. For variables where ANOVA indicated significant overall differences (F-test, p < 0.05), pairwise comparisons were conducted using Tukey's Honestly Significant Difference (HSD) post-hoc test to identify which specific regime pairs differed significantly. Statistical significance is reported as: *** p < 0.001, ** p < 0.01, * p < 0.05, ns = not significant. All analyses were performed in Stata 16. 4. Results and Discussion 4.1 Groundwater Infrastructure and Borewell Failure Dynamics Among GW-CIF farmers, 72 borewells were operational, of which 57 (79%) were functioning and 15 (21%) had failed prematurely. GW-DIF farmers operated 4 borewells, with 1 premature failure (25%). In stark contrast, CW farmers had 67 borewells, with only 7 failures (10%) — a significantly lower failure rate (p < 0.01, ANOVA). Borewell depth was also significantly greater among GW users (290 feet for CIF; 333 feet for DIF) than among CW users (188 feet; p < 0.001), reflecting the accelerating depletion of accessible aquifer depths under exclusive groundwater reliance. This depth escalation mirrors findings from Konikow and Kendy ( 2005 ), who documented progressive borewell deepening as a self-reinforcing cycle in overexploited aquifer systems. Sekhri ( 2014 ) similarly found that in hard-rock aquifer regions of India, each meter of deepening imposes increasing capital costs while delivering diminishing marginal water yields. The drip-irrigated GW farmers (DIF), ironically, drill to the greatest depth (333 feet) — a consequence of cumulative overextraction during their prior conventional farming phase, which drove them to adopt drip irrigation as a last resort rather than a proactive efficiency choice. This resonates with Grafton et al.'s ( 2018 ) paradox of irrigation efficiency, wherein efficiency investments often accelerate rather than arrest groundwater depletion when institutional constraints on extraction volumes are absent. Frequent borewell failures on a farm impose costs not only on the failing farmer but also on neighboring farms accessing the same aquifer — a classic externality. Evidence from Amit Kapoor & Mukul Anand (2024) documents how well failures in India's hard-rock regions trigger a cascade of social harms, including forced migration and land abandonment, consistent with findings from Wada et al. ( 2010 ) on the socioeconomic dimensions of global groundwater depletion.4 4.2 Externality Costs and Irrigation Economics Across Regimes Table 1 presents the comparative economics of groundwater irrigation across user categories, with one-way ANOVA significance results for key variables. Table 1 Economics of Groundwater Irrigation per Farm under GW-CIF, GW-DIF, and CW Regimes Particulars GW-CIF GW-DIF CW (Conjunctive) Sig. (ANOVA) A. Borewell Infrastructure Total number of borewells 72 4 67 — Functioning borewells (%) 57 (79%) 3 (75%) 60 (90%) ** Failed borewells (%) 15 (21%) 1 (25%) 7 (10%) ** Depth of borewells (feet) 290 333 188 *** Yield of borewell (GPH) 2,272 1,433 2,623 * B. Irrigation Costs (₹) Amortized cost per functioning well (₹) 18,382 29,166 9,912 *** Annual repairs and maintenance (₹) 2,000 2,250 2,000 ns Annual cost of groundwater irrigation (₹) 21,184 26,272 13,870 *** Cost per acre-inch of groundwater (₹) 7,892 14,330 248 *** Groundwater extracted/farm/year (acre-inches) 74 37 56 ** Surface water used (acre-inches) — — 182 — Imputed cost per acre-inch of surface water (₹) — — 16.47 — Cost of surface water (₹) — — 2,994 — Total annual irrigation cost (SW + GW) (₹) — — 16,863 — C. Externality Costs (₹) Amortized cost per well (₹) 14,552 21,874 9,011 *** Negative externality per borewell (₹) 3,830 7,291 901 *** Externality cost as % of amortized cost 26.31% 33.33% 10.00% ** Externality cost per acre (₹) 1,275 3,645 — *** Note: Figures in parentheses indicate percentages of totals. Sig. column reports one-way ANOVA results for differences across GW-CIF, GW-DIF, and CW groups. *** p < 0.001; ** p < 0.01; * p < 0.05; ns = not significant. Post-hoc Tukey HSD tests confirmed significant pairwise differences between CW and both GW groups for all *** and ** variables. Negative externality costs per borewell were ₹3,830 under GW-CIF and ₹7,291 under GW-DIF, compared to just ₹901 under CW, a statistically significant reduction of 76.5% and 87.6% respectively (p < 0.001). As a share of total amortized cost, externalities constituted 26.3% (CIF), 33.3% (DIF), and only 10% (CW), significant at p < 0.01. These results decisively reject the null hypothesis and confirm that conjunctive use significantly attenuates groundwater externality costs. The mechanism is straightforward: CW farmers rely predominantly (76%) on surface water, reducing borewell stress, enabling shallower and more reliable groundwater access (mean depth: 188 feet vs. 290–333 feet for GW), and lowering both amortized costs (₹9,012/well vs. ₹14,552–21,874) and failure rates. The annual cost per acre-inch of groundwater was dramatically lower for CW users (₹248) versus CIF (₹7,892) and DIF (₹14,330) users (p < 0.001), underscoring the irrigation cost efficiency of conjunctive arrangements. These findings align with Kumar et al. ( 2018 ) and Venkataramana et al. ( 2020 ), who demonstrated that conjunctive use in Indian canal command areas can reduce groundwater extraction costs by 50–70%. They also corroborate international evidence: Qureshi et al. ( 2010 ) found analogous externality reductions in Pakistan's Indus Basin under conjunctive water management, and Van Steenbergen ( 2006 ) documented institutional conditions under which local conjunctive use management reduced aquifer depletion rates significantly in South and West Asia. 4.3 Economic Performance Across Water User Categories Table 2 presents crop-level economic performance across irrigation regimes, with Tukey HSD test results comparing each regime against surface water users (SW) as the reference group. Table 2 Economic Variability of Water Users in the Godavari Command Area Water User / Crop N Water Used (Acre-Inch) Irrigation Cost/Acre (₹) Total Cultivation Cost (₹) Net Returns per ₹ of Irrigation Cost Sig. vs SW (Tukey HSD) Surface Water Users (SW) Paddy (Reference) 60 77.93 1,284 33,042 5.85 Ref. Conjunctive Water Users (CW) Paddy 60 23 3,464 32,954 4.09 * Cotton 3 18 2,693 40,734 3.88 ** Maize 6 24 3,676 29,121 2.92 ** Groundwater Users (GW) Paddy 48 27 8,276 37,559 0.95 *** Cotton 20 20 6,191 41,411 1.47 *** Maize 5 21 6,376 40,969 1.21 *** Note: Sig. column shows Tukey HSD pairwise comparison against SW Paddy (reference). *** p < 0.001; ** p < 0.01; * p < 0.05. Net returns per rupee of irrigation cost = (Gross returns − Non-irrigation costs) ÷ Irrigation cost. Surface-irrigated paddy achieves the highest net returns per rupee of irrigation cost (₹5.85), reflecting both the low imputed cost of surface water (₹16.47/acre-inch) and strong market integration through MSP procurement. CW paddy yields ₹4.09 (significantly lower at p < 0.05), while GW-dependent paddy collapses to ₹0.95 per rupee of irrigation cost — near economic breakeven — a difference significant at p < 0.001. The profitability erosion under exclusive groundwater use is not solely a function of extraction costs; it also reflects the externality burden embedded in escalating amortized borewell costs. When externality costs are fully accounted for, GW paddy profitability is likely even lower than Table 2 suggests. This pattern is consistent with Sekhri's (2014) American Economic Journal findings on groundwater access, welfare, and conflict in India, and with Fishman et al.'s ( 2015 ) modelling showing that without demand-side constraints, improved extraction technology alone cannot arrest aquifer depletion. Among CW users, cotton (₹3.88) and maize (₹2.92) show respectable returns per rupee of irrigation cost, though significantly lower than SW paddy (p < 0.01), reflecting higher groundwater irrigation costs for these crops. Critically, maize under GW irrigation yields only ₹1.21 — among the lowest values recorded — despite being identified globally as a water-efficient alternative to paddy (Perry, 2007 ; Falkenmark & Rockström, 2006 ). This suggests that the economic viability of crop diversification is systematically suppressed by the cost burden of groundwater extraction in the absence of MSP support for alternative crops. 4.4 Interlinkages Between Externalities and Water Supply: A Pigouvian Analysis The externality cost findings can be situated within a supply-side welfare framework drawn from Pigouvian economics. Figure 3 illustrates three equilibria: the privately optimal equilibrium (E_priv), the social equilibrium under exclusive groundwater extraction (E_GW), and the social equilibrium under conjunctive use (E_CW). For exclusive groundwater users, the social supply curve (S_Social-GW) lies substantially above the private supply curve (S_Private), reflecting uncompensated external costs — deeper drilling necessitated by aquifer depletion, borewell failure losses borne by all users accessing the same aquifer, and the escalating pumping costs from declining water tables. This upward wedge represents precisely the negative externality quantified in this study: ₹3,830/borewell for GW-CIF and ₹7,291/borewell for GW-DIF (p < 0.001). As Fig. 3 shows, equilibrium shifts from the privately optimal point (E_priv) to a less favourable position (E_GW), characterized by higher effective water prices and a reduced quantity of sustainably available groundwater — outcomes consistent with the higher costs and lower profitability documented among GW-dependent farmers (Table 1 ). In contrast, the adoption of conjunctive use (CU) irrigation substantially narrows the externality wedge: S_Social-CW lies much closer to S_Private, reflecting the dramatically lower externality burden (₹901/borewell; p < 0.001 vs. GW groups). Equilibrium gravitates toward E_CW — closer to the social optimum — with lower effective water prices and greater sustainably available water quantities. Water prices stabilize, and a larger portion of the aquifer resource remains available for future use. This supply-side adjustment corroborates the empirical finding that CU farmers bear 76.5–87.6% lower externality costs per borewell than exclusive groundwater users. This economic illustration also resonates with Ostrom's (1990) sustainability principles: effective resource governance and integrated management practices like CU irrigation internalize externalities and foster collective action toward sustainability. When pricing mechanisms align with the true social cost of water — as reflected in the supply-curve shifts illustrated — sustainable resource utilization is incentivized, equity among users is enhanced, and resilience against climatic variability is strengthened. These findings also support the growing consensus that groundwater-dependent irrigation is becoming increasingly unsustainable for smallholders, as operational costs rise with declining water tables (Meinzen-Dick, 1996 ; Kumar et al., 2020 ; Konikow & Kendy, 2005 ). Spatial inequities compound the governance failure. Head-end CW farmers consume 182 acre-inches of surface water per farm — well above optimal allocation — facilitated by physical proximity to the canal and weak enforcement of volumetric water rights. This over-appropriation reduces downstream surface water availability, pushing tail-end farmers toward groundwater reliance (74 acre-inches) and intensifying aquifer pressure. Molle et al. ( 2008 ) characterize this as a 'hydraulic mission pathology': large-scale irrigation infrastructure creates incentive structures that systematically advantage physically proximate users while imposing hydrological externalities on distant ones. The supply curve framework captures this spatial dimension as well: head-end farmers effectively extract at the private optimum while imposing the social cost on tail-end neighbours. From a governance perspective, Ostrom's design principles are only weakly instantiated in the Godavari command area. Boundaries are ill-defined (especially for groundwater), collective choice mechanisms for water allocation are absent at the aquifer level, monitoring is minimal, and graduated sanctions for overextraction are non-existent. Meinzen-Dick et al. ( 2016 ) found similar institutional vacuums in their games-based field experiments on groundwater governance in Andhra Pradesh, confirming that the institutional prerequisites for Ostromian self-governance are rarely met in India's groundwater commons. Without addressing these governance deficits, the supply curve will continue its upward drift under GW-dominant regimes, with tail-end farmers bearing the compounding welfare costs. 4.5 Profitability of Conjunctive Use over Groundwater-Only Irrigation Partial budget analysis comparing CW against exclusive GW irrigation reveals a net profitability advantage of ₹10,475 per acre under CW. This gain arises from multiple sources: reduced irrigation costs (₹6,045/acre), labor efficiency improvements (human labor: ₹1,566/acre; machine labor: ₹1,283/acre), and yield improvements (₹1,714/acre in gross returns), partially offset by marginally higher input and bullock labor costs (Fig. 4 a). Figure 4 b complements this by directly comparing externality costs and total irrigation expenditures across the three regimes, confirming the stark economic advantage of CU. The irrigation cost saving of ₹6,045/acre (a 60–70% reduction) is the largest single contributor to CU's profitability advantage and is consistent with Fishman et al. ( 2015 ) and Shah et al. (2009), who modelled analogous savings under coordinated surface-groundwater management in semi-arid South Asian contexts. These savings stem not only from reduced groundwater pumping volumes but also from lower energy costs and reduced wear on irrigation infrastructure, contributing to long-term farm sustainability. Furthermore, reduced reliance on diesel-powered pumping has implications for lowering greenhouse gas emissions, aligning CU practices with sustainable intensification goals (Birner & Resnick, 2010 ). Labour efficiency also improved under CU systems, with savings of ₹1,566/acre in human labor and ₹1,283/acre in machine labor. These outcomes reflect enhanced field scheduling enabled by reliable water availability — a finding supported by Krupnik et al. ( 2017 ) in Bangladesh and Palanisami et al. ( 2015 ) in South India. The ₹1,714/acre yield improvement, while modest, is consistent with evidence that water stress relief during critical crop growth stages delivers disproportionate yield benefits (Falkenmark & Rockström, 2006 ; Kumar et al., 2018 ). The reduction in groundwater dependency under CU carries ecological co-benefits beyond the farm level: by stabilizing aquifer recharge patterns and reducing the ecological footprint of irrigated agriculture (Varady et al., 2013 ), CU systems contribute to climate resilience — particularly important given increasing monsoon variability documented across the Telangana region (Venkataramana et al., 2020 ). Despite these benefits, only 60 of 180 surveyed farmers (33%) operate under CU, and those that do are overwhelmingly head-end or mid-reach farmers with physical access to canal water. Tail-end farmers — the group most burdened by groundwater externalities — remain structurally excluded from CU's benefits. Addressing this requires infrastructure investment in canal extensions, equitable allocation reforms, and community-level groundwater governance (Meinzen-Dick et al., 2018 ; Van Steenbergen, 2006 ). 4.6 Policy Implications The findings collectively point to four interconnected policy imperatives. First, water pricing reform is essential: the current near-zero effective cost of groundwater extraction fails to signal scarcity or internalize externalities. Tiered volumetric pricing — with a low lifeline tier for subsistence needs and progressively higher rates for larger extraction — is theoretically sound (Shah, 2009 ) and has shown effectiveness in contexts including Israel (Kislev, 2011 ) and Spain (Hernández-Mora & Llamas, 2001 ). However, implementation in India must grapple with political economy constraints, particularly the nexus between free power subsidies, groundwater extraction, and agricultural vote banks (Shah, 2009 ). Second, MSP reform or supplementation is critical to enable crop diversification. The current MSP architecture strongly favors paddy despite its unsustainable water requirements. Extending MSP coverage or direct benefit transfer mechanisms to water-efficient crops like maize, pulses, and oilseeds would weaken the paddy lock-in and create space for agronomically and hydrologically sustainable diversification (Gulati et al., 2018 ; Ramesh Chand, 2017 ). Third, conjunctive use infrastructure investment is urgently needed in tail-end command areas. The profitability advantage of CU (₹10,475/acre net gain) constitutes a compelling economic case for subsidized infrastructure and advisory support for CU adoption, particularly given the externality reductions (76–88% lower borewell externality costs) it generates. This is consistent with the World Bank's (2020) India groundwater strategy recommendations. Fourth, institutional reforms for common-pool groundwater governance are indispensable. Drawing on Ostrom's (1990) design principles, water user associations at the aquifer level — with clear extraction rights, monitoring systems, and graduated sanctions — could internalize externalities that individual price mechanisms cannot reach. Evidence from South India's groundwater cooperative experiments (Meinzen-Dick et al., 2016 ) and from Maharashtra's participatory irrigation management programs suggests that community-based governance can complement regulatory mechanisms when effectively implemented. 4.7 Irrigation Practices and Spatial Challenges Across the Command Area The irrigation landscape of the Godavari command area is fundamentally shaped by the spatial gradient between canal proximity and distance. Head-end farmers, located immediately adjacent to the canal infrastructure, are exclusively dependent on surface water and benefit from assured, low-cost, high-volume irrigation. Farmers in the mid-reach and tail-end areas must rely on both surface water from the Lower Manair Dam (LMD) and groundwater sources to meet their farm irrigation demands — a dual dependency that carries escalating costs as one moves downstream. Over the years, increased dependence on groundwater has emerged across the command area due to the inconsistent availability of surface water during critical cropping periods, particularly during the rabi season and in years of below-average reservoir storage. The over-extraction of groundwater has, in turn, led to declining water tables and well failures, exacerbating irrigation costs and widening inequities between head-end and tail-end farmers. This feedback loop — surface water unreliability driving groundwater overextraction, which drives further depletion and cost escalation — is the central self-reinforcing dynamic documented in this study. The spatial distribution of irrigation water highlights stark disparities across the command area. Head-reach farmers, who have privileged physical access to canal water, often extract water in excess of crop requirements (182 acre-inches for CW paddy), leaving mid-reach and tail-end farmers increasingly reliant on costly groundwater (74 acre-inches). This has given rise to a set of significant, mutually reinforcing challenges: increased pumping costs for tail-end farmers, reduced profitability, declining aquifer health, and growing vulnerability to climate variability. The result is a compound externality — not merely a private cost borne by individual farmers, but a system-wide inequity that undermines the long-term viability of irrigated agriculture in the command area as a whole. Addressing these spatial challenges requires governance interventions that operate at the command area level, not just the farm level. Volumetric water allocation systems, monitored by water user associations with clear extraction entitlements, could reduce the over-extraction incentives of head-end farmers while providing tail-end farmers with more reliable surface water access. Such institutional reforms, combined with the infrastructure investments in canal extensions and groundwater recharge structures, are prerequisites for achieving the equity and sustainability goals that neither market mechanisms nor individual behavioral changes can deliver alone (Ostrom, 1990 ; Meinzen-Dick et al., 2018 ; Van Steenbergen, 2006 ). 5. Conclusion This study provides one of the few quantified analyses of groundwater externality costs across multiple irrigation regimes within an Indian canal command area, combining amortized cost analysis with partial budgeting and statistical testing. The key findings are unambiguous: exclusive groundwater irrigation — whether conventional or drip-based — generates substantially higher negative externality costs than conjunctive use, and these differences are statistically significant at p < 0.001. Negative externality costs per borewell are 76.5% lower under conjunctive use than under conventional flood groundwater irrigation, and profitability (net returns per rupee of irrigation cost) under GW-dependent paddy is 84% lower than under surface-irrigated paddy. These results carry three broader implications. First, the groundwater crisis in India's canal command areas is fundamentally an institutional failure — not merely a technical or hydrological problem. The absence of enforceable extraction limits, combined with energy subsidies and MSP-driven crop choices, creates a perfectly adverse incentive architecture for sustainable water use. Without institutional reform, technological fixes (drip irrigation, efficient pumps) risk accelerating depletion rather than arresting it (Grafton et al., 2018 ). Second, conjunctive use represents not just an agronomic practice but a governance paradigm: one that reconciles the private imperatives of farm profitability with the collective imperative of aquifer sustainability. Policies that enable broader CU adoption — particularly in tail-end command areas currently excluded from its benefits — would simultaneously improve farmer welfare and reduce hydrological externalities. Third, the persistence of water-intensive paddy cultivation despite its spiraling groundwater costs illustrates the power of market and policy structures to override resource sustainability signals. Reforming crop procurement policies alongside water governance is therefore not optional but essential. The internalization of negative groundwater externalities, whether through pricing, institutional governance, or public investment, is imperative for equitable, resilient, and sustainable irrigated agriculture in India's river basins — and, given India's role as the world's largest groundwater user, for global water security as well. Declarations Conflict of interest: The authors declare no conflict of interest. Author Contribution BS : Wrote main manuscript, Analysis, Data collection, DM: Writing and Editing; P.S.: Supervision, Data curation, Writing and Editing, AS: Writing and Editing; AM: Writing and Editing Data availability: The raw data supporting the conclusions of this article will be made available by the authors upon reasonable request. References Amit Kapoor and Mukul Anand (2024) Addressing Groundwater Depletion Crisis in India: Institutionalizing Rights and Technological Innovations. Economic Advisory Council to the PM Working Paper Series Anik Bhaduri U, Amarasinghe, Tushaar Shah (2012) An Analysis of Groundwater Irrigation Expansion in India. International Journal of Environment and Waste Management Archana Pandey (2013) Environmental Impacts of Canal Irrigation in India. Mediterranean J Social Sci 4(11):138–142 Bekele Shiferaw (2021) Addressing groundwater depletion: Lessons from India, the world's largest user of groundwater. World Bank Group Independent Evaluation Group Birkenholtz T (2016) Groundwater governmentality: Hegemony and technologies of resistance in Rajasthan's groundwater economy. Political Geogr 50:64–74 Birner R, Resnick D (2010) The political economy of policies for smallholder agriculture. World Dev 38(10):1442–1452 Central Groundwater Board (CGWB) (2023) National Compilation on Dynamic Ground Water Resources of India. Department of Water Resources, Ministry of Jal Shakti, Government of India Coase RH (1960) The problem of social cost. J Law Econ 3:1–44 Famiglietti JS (2014) The global groundwater crisis. Nat Clim Change 4(11):945–948 Falkenmark M, Rockström J (2006) The new blue and green water paradigm: Breaking new ground for water resources planning and management. J Water Resour Plan Manag 132(3):129–132 Fishman R, Devineni N, Raman S (2015) Can improved agricultural water use efficiency save India's groundwater? Environ Res Lett 10(8):084022 Foster S, Chilton PJ (2003) Groundwater: The processes and global significance of aquifer degradation. Philosophical Trans Royal Soc Lond B 358(1440):1957–1972 Gleeson T, Wada Y, Bierkens MFP, van Beek LPH (2012) Water balance of global aquifers revealed by groundwater footprint. Nature 488(7410):197–200 Grafton RQ, Williams J, Perry CJ, Molle F, Ringler C, Steduto P, Allen RG (2018) The paradox of irrigation efficiency. Science 361(6404):748–750 Granö K (2024) The Groundwater Crisis: Approaching Overexploitation of Groundwater in Rural India as a Legal Problem in Need of Legal Reform. Master's Thesis, Aalto University Gulati A, Saini S, Jain S (2018) Taming the Anarchy: Groundwater Governance in South Asia. Routledge Hardin G (1968) The tragedy of the commons. Science 162(3859):1243–1248 Hernández-Mora N, Llamas MR (2001) Misconceptions in aquifer overexploitation: Implications for water policy in Southern Europe. Agric Sci 2(2):107–134 Jolly RW (1983) Partial Budgeting: A Tool for Farm Management. Extension and Outreach Publications. Iowa State University Kay RD, Edwards WM, Duffy PA (2008) Farm Management (6th Edition). McGraw-Hill Kislev Y (2011) The water economy of Israel. Policy Paper 2011.15. Taub Center for Social Policy Studies in Israel Kolstad CD (2000) Environmental Economics. Oxford University Press Konikow LF, Kendy E (2005) Groundwater depletion: A global problem. Hydrogeol J 13(1):317–320 Krupnik TJ, Schulthess U, Ahmed ZU, McDonald AJ (2017) Sustainable crop intensification through surface water irrigation in Bangladesh? A geospatial assessment. Land Use Policy 60:206–222 Kulkarni H, Shah M, Shankar PSV (2015) Shaping the contours of groundwater governance in India. J Hydrology: Reg Stud 4:172–192 Kumar MD, Sivamohan MVK, Narayanamoorthy A (2018) Water Management in India: What Works, What Doesn't. Routledge Kumar MD, Scott CA, Singh OP (2020) Inducing the shift from flatrate to metered electricity supply for groundwater pumping: Implications for groundwater management. J Hydrol 409(1–2):349–358 Malcolm B, Sale P, Egan A (2005) Agricultural and Resource Economics: Principles and Policy. University of Melbourne Manoj Kumar Chauhan and Shobha Ram (2022) Rehabilitation of canal irrigation schemes in India: A qualitative analysis. Water Policy Masemola C, Pietersen K (2023) Conjunctive use of surface water and groundwater in semi-arid regions: A review. Water SA 49(1):15–28 Meinzen-Dick R (1996) Groundwater Markets in South Asia: Opportunities and Challenges. IFPRI Research Report Meinzen-Dick R, Chaturvedi R, Domènech L, Ghate R, Janssen MA, Rollins ND, Sandeep K (2016) Games for groundwater governance: Field experiments in Andhra Pradesh, India. Ecol Soc, 21(3) Meinzen-Dick R et al (2018) Water governance and inclusive institutions for sustainable groundwater management. World Dev 102:1–15 Ministry of Jal Shakti (2024) Exploitation of Groundwater Resources. Press Information Bureau, Government of India Molle F, Mollinga PP, Wester P (2008) Hydraulic bureaucracies and the hydraulic mission: Flows of water, flows of power. World Dev 37(1):328–339 Naeem Shah Bukhari Syed, Shuqi Z (2021) Muhammad Munir Babar, and Rajesh Kumar Soothar. Civil Eng J, 7(10) Nagaraj N, Shankar K, Chandrakanth MG (2002) Pricing of irrigation water in Cauvery basin. Economic Political Wkly 5(2):181–194 Narayanamoorthy A (2013) Profitability in crops cultivation in India: Some evidence from cost of cultivation survey data. Indian J Agric Econ 68(1):104–121 Ostrom E (1990) Governing the Commons: The Evolution of Institutions for Collective Action. Cambridge University Press Palanisami K, Mohan K, Raman S (2015) Drip Irrigation for Agriculture: Untold Stories of Efficiency, Innovation, and Development. Routledge Perry C (2007) Efficient irrigation; inefficient communication; flawed recommendations. Irrig Sci 56(4):367–378 Pigou AC (1920) The Economics of Welfare. Macmillan Qureshi AS, McCornick PG, Sarwar A, Sharma BR (2010) Challenges and prospects of sustainable groundwater management in the Indus Basin. Water Resour Manage 24(8):1551–1569 Ramesh Chand (2017) Doubling farmers' income: Strategy and prospects. Indian J Agric Econ, 72(1) Rao AD, Rao PN (2016) Conjunctive use of surface and groundwater resources: Selected case studies from Andhra Pradesh and Telangana. Special Publication Geol Soc India 5:137–144 Rao KN (2020) Cropping pattern in Godavari Delta: Issues and prospects. Indian J Agric Econ 75(4):605–619 Ratna Reddy V (2012) Hydrological externalities and livelihoods impacts: Informed communities for better resource management. J Hydrol 412–413:279–290 Rodell M, Velicogna I, Famiglietti JS (2009) Satellite-based estimates of groundwater depletion in India. Nature 460(7258):999–1002 Sainath B, Srikantha Murthy PS (2021) Economic analysis of irrigation water under different water use regimes in Godavari command area. Economic Affairs 66(2):305–310 Sekhri S (2014) Wells, water, and welfare: The impact of access to groundwater on rural poverty and conflict. Am Economic Journal: Appl Econ 6(3):76–102 Shah T (2009) Taming the Anarchy: Groundwater Governance in South Asia. Resources for the Future Shah T, Burke J, Villholth K, Angelica M, Custodio E, Daibes F, Wang J (2013) Groundwater: A global assessment of scale and significance. In Water for Food, Water for Life. Routledge, pp 395–424 Shah T, Molden D, Sakthivadivel R, Seckler D (2003) The global groundwater situation: Overview of opportunities and challenges. IWMI Working Paper Sophocleous M (2002) Interactions between groundwater and surface water: The state of the science. Hydrogeol J 10(1):52–67 Susan SS, VisTaraz (2018) Groundwater depletion in India: Social losses from costly well deepening. Ideas for India Newsletter Tietenberg T, Lewis L (2016) Environmental and Natural Resource Economics (10th edition). Routledge Tiwari VM, Wahr J, Swenson S (2009) Dwindling groundwater resources in northern India, from satellite gravity observations. Geophys Res Lett, 36(18) Utkarsh Tripathi (2025) Haryana's groundwater crisis worsened by subsidised tubewell irrigation. IndiaSpend Van Steenbergen F (2006) Promoting local management in groundwater. Hydrogeol J 14(3):380–391 Varady RG, van Weert F, Megdal SB, Gerlak A, Iskandar CA, House-Peters L (2013) Groundwater governance: A global framework for country action. GEF Thematic Paper 5 Venkataramana MN, Muralidhar L, Ranganatha AD, Gururaj B (2020) Curr J Appl Sci Technol 39(44):45–51 Wada Y, van Beek LPH, van Kempen CM, Reckman JWTM, Vasak S, Bierkens MFP (2010) Global depletion of groundwater resources. Geophys Res Lett, 37(20) World Bank (2020) India Groundwater: A Valuable but Diminishing Resource. World Bank Group Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-9506551","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":628365024,"identity":"41da08b4-5c4c-4b26-a88b-13681c825c6a","order_by":0,"name":"Sainath Banda","email":"data:image/png;base64,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","orcid":"","institution":"ICAR Research Complex for Eastern Region","correspondingAuthor":true,"prefix":"","firstName":"Sainath","middleName":"","lastName":"Banda","suffix":""},{"id":628365025,"identity":"c4d12b44-b547-4f4b-8d9d-7fb7bba46512","order_by":1,"name":"Deepa M P M","email":"","orcid":"","institution":"Food and Agriculture Organization of the United Nations","correspondingAuthor":false,"prefix":"","firstName":"Deepa","middleName":"M P","lastName":"M","suffix":""},{"id":628365027,"identity":"13c21891-0c79-4daf-a938-2bd3b6724b8e","order_by":2,"name":"Srikantha Murthy P. S.","email":"","orcid":"","institution":"University of Agricultural Sciences, Bangalore","correspondingAuthor":false,"prefix":"","firstName":"Srikantha","middleName":"Murthy P.","lastName":"S.","suffix":""},{"id":628365028,"identity":"c436dea8-2e0f-49a9-bc6a-e5d2ce09bb21","order_by":3,"name":"Ajmer Singh","email":"","orcid":"","institution":"National Dairy Research Institute","correspondingAuthor":false,"prefix":"","firstName":"Ajmer","middleName":"","lastName":"Singh","suffix":""},{"id":628365030,"identity":"1b4fef79-0f00-4a46-a8a2-e9fb9b2cf72e","order_by":4,"name":"Anirban Mukherjee","email":"","orcid":"","institution":"ICAR Research Complex for Eastern Region","correspondingAuthor":false,"prefix":"","firstName":"Anirban","middleName":"","lastName":"Mukherjee","suffix":""}],"badges":[],"createdAt":"2026-04-23 12:10:22","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-9506551/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-9506551/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":107857144,"identity":"fbf7e8a2-e51d-4aa6-a073-f98198549fe5","added_by":"auto","created_at":"2026-04-27 04:15:07","extension":"jpeg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":490761,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cem\u003eFigure 3: Pigouvian supply curve framework — private vs. social equilibria under GW and CW irrigation regimes. Note: The externality wedge from S_Private to S_Social-GW is substantially narrowed under conjunctive use (S_Social-CW), moving equilibrium toward the social optimum.\u003c/em\u003e\u003c/p\u003e","description":"","filename":"floatimage1.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-9506551/v1/ee7cdd7472150181b84a1d84.jpeg"},{"id":107857145,"identity":"bd3d70a9-620e-48d4-8ffc-3793b5e256e0","added_by":"auto","created_at":"2026-04-27 04:15:07","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":93117,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cem\u003eFigure 4: (a) Partial budget waterfall — cost savings and revenue gains under CU over exclusive GW irrigation (₹/acre). (b) Externality costs per borewell and annual irrigation expenditure across GW-CIF, GW-DIF, and CW regimes. *** p \u0026lt; 0.001 vs. CW (Tukey HSD).\u003c/em\u003e\u003c/p\u003e","description":"","filename":"floatimage2.png","url":"https://assets-eu.researchsquare.com/files/rs-9506551/v1/35a3b451da606114c266c467.png"},{"id":108963691,"identity":"74922128-e78e-4af8-9daa-5b3e70700cf3","added_by":"auto","created_at":"2026-05-11 09:16:41","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":970327,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-9506551/v1/67f9575f-8222-4a3c-bd3e-ba9b3ee29218.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Irrigation Dynamics in Canal Command Areas: Quantifying Externality Costs and Economic Trade-offs Across Water User Regimes in the Godavari Basin, India","fulltext":[{"header":"1. Introduction","content":"\u003cp\u003eCanal irrigation has been central to India's agricultural development for centuries, underpinning food security, rural livelihoods, and agrarian transformation. Yet the gradual deterioration of canal infrastructure, inequitable water distribution, and institutional weaknesses have increasingly rendered surface water unreliable, prompting farmers, especially in mid and tail-end reaches of command areas, to pivot towards groundwater as a supplementary, and often primary, irrigation source (Manoj \u0026amp; Shobha, 2022; Archana Pandey, \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2013\u003c/span\u003e). The consequences of this transition are now well-documented at the global scale: groundwater depletion has emerged as one of the most critical environmental challenges of our time (Famiglietti, \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e2014\u003c/span\u003e; Gleeson et al., \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e2012\u003c/span\u003e; Wada et al., \u003cspan citationid=\"CR62\" class=\"CitationRef\"\u003e2010\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eIndia exemplifies this crisis. As the world's largest user of groundwater, India extracts approximately 241.34\u0026nbsp;billion cubic meters (BCM) per annum (Ministry of Jal Shakti, \u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e2024\u003c/span\u003e), with the number of operational borewells growing from approximately one million to over 20\u0026nbsp;million in five decades (Bekele, 2021). Satellite-based GRACE data confirm significant groundwater depletion across the Indo-Gangetic Plains and peninsular river basins (Rodell et al., \u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e2009\u003c/span\u003e; Tiwari et al., \u003cspan citationid=\"CR57\" class=\"CitationRef\"\u003e2009\u003c/span\u003e). The southern peninsular region, encompassing the Godavari and Krishna river basins, has been identified by the Central Groundwater Board (CGWB, 2023) as one of three zones with alarming overexploitation levels.\u003c/p\u003e \u003cp\u003eWithin canal command areas, groundwater overextraction arises from a compound problem: head-end farmers over-appropriate surface water due to physical proximity and weak water governance, leaving tail-end farmers disproportionately dependent on groundwater (Molle et al., \u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e2008\u003c/span\u003e; Birkenholtz, \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2016\u003c/span\u003e). This spatial asymmetry generates layered negative externalities, premature borewell failures, escalating pumping costs, declining water tables, and reduced farm profitability, that are borne unequally across farmer categories. These externalities fit the classical Pigouvian framework, where private extraction decisions impose uncompensated social costs on other users and future generations (Pigou, \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e1920\u003c/span\u003e; Sekhri, \u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e2014\u003c/span\u003e). Furthermore, they constitute a canonical common-pool resource problem, where individual rational action leads to collective over-exploitation in the absence of effective institutional governance (Ostrom, \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e1990\u003c/span\u003e; Hardin, \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e1968\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eConjunctive use (CU) of surface and groundwater, coordinated utilization of both sources to optimize efficiency and reduce dependence on either alone, is widely recognized as a potential solution (Sophocleous, \u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e2002\u003c/span\u003e; Van Steenbergen, \u003cspan citationid=\"CR59\" class=\"CitationRef\"\u003e2006\u003c/span\u003e; Kumar et al., \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). However, the empirical evidence on the economic viability of CU versus exclusive groundwater irrigation, especially through the lens of externality quantification, remains sparse in the context of peninsular India.\u003c/p\u003e \u003cp\u003eWhile previous studies have examined groundwater governance in South Asia (Shah et al., \u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e2003\u003c/span\u003e; Meinzen-Dick, \u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e1996\u003c/span\u003e), crop water productivity (Narayanamoorthy, \u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e2013\u003c/span\u003e; Palanisami et al., \u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e2015\u003c/span\u003e), and the costs of well deepening (Susan \u0026amp; VisTaraz, \u003cspan citationid=\"CR55\" class=\"CitationRef\"\u003e2018\u003c/span\u003e), no study has jointly quantified amortized externality costs of borewell failure, profitability across multiple irrigation regimes, and the economic case for conjunctive use within a single canal command area of peninsular India. This study fills that gap.\u003c/p\u003e \u003cp\u003eUsing primary survey data from 180 farmers in the Godavari command area of Telangana, this study: (i) estimates externality costs arising from borewell failures across SW, GW-CIF, GW-DIF, and CW irrigation regimes; (ii) compares irrigation costs, water use efficiency, and crop profitability across user categories; (iii) tests whether differences in these indicators are statistically significant using one-way ANOVA and post-hoc comparisons; and (iv) assesses the partial budgeting-based profitability of conjunctive use relative to exclusive groundwater irrigation.\u003c/p\u003e \u003cp\u003eThe study tests the following hypotheses: \u003cb\u003eH\u003c/b\u003e\u003csub\u003e0\u003c/sub\u003e: Conjunctive use irrigation does not significantly reduce negative externality costs per borewell relative to exclusive groundwater use; \u003cb\u003eH\u003c/b\u003e\u003csub\u003eA\u003c/sub\u003e: Conjunctive use irrigation significantly reduces negative externality costs relative to exclusive groundwater use. The null hypothesis was rejected at p\u0026thinsp;\u0026lt;\u0026thinsp;0.001 based on ANOVA results.\u003c/p\u003e"},{"header":"2. Theoretical and Conceptual Framework","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003e2.1 Externalities in Groundwater Use\u003c/h2\u003e \u003cp\u003eGroundwater overextraction in shared aquifer systems creates negative externalities that diverge private costs from social costs \u0026mdash; the cornerstone of Pigouvian welfare economics (Pigou, \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e1920\u003c/span\u003e). When a farmer drills deeper to access declining water tables driven by neighbours' extraction, or bears the capital loss of a prematurely failed borewell, these costs arise from others' decisions yet are borne privately. This divergence justifies policy intervention through Pigouvian taxes (water pricing), regulations, or institutional arrangements that internalize the external cost (Kolstad, \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e2000\u003c/span\u003e; Tietenberg \u0026amp; Lewis, \u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e2016\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eCoase (\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e1960\u003c/span\u003e) argued that in the presence of clearly defined property rights and negligible transaction costs, parties would negotiate efficient outcomes regardless of initial rights allocation. However, groundwater in India is governed by the principle of absolute dominion \u0026mdash; effectively open access \u0026mdash; making Coasian bargaining infeasible at scale. The absence of a public trust doctrine for groundwater compounds the overexploitation incentive (Kulkarni et al., \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e2015\u003c/span\u003e; Gran\u0026ouml;, \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e2024\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eOstrom's (1990) framework for governing common-pool resources offers a more practical lens. She documented how communities in diverse settings devised locally crafted institutions to manage shared resources sustainably, often outperforming both market and state solutions. The conditions she identified \u0026mdash; clearly defined boundaries, rules matched to local conditions, collective choice arrangements, monitoring, graduated sanctions, conflict resolution mechanisms, and recognition by external authorities \u0026mdash; have direct relevance to groundwater governance in canal command areas (Meinzen-Dick et al., \u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e2016\u003c/span\u003e; Grafton et al., \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e2018\u003c/span\u003e).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003e2.2 Conjunctive Use: Concept and Evidence\u003c/h2\u003e \u003cp\u003eConjunctive use (CU) refers to the planned integration of surface water and groundwater resources to optimize total water supply, minimize adverse impacts, and improve system-level efficiency (Sophocleous, \u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e2002\u003c/span\u003e; Venkataramana et al., \u003cspan citationid=\"CR61\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). Unlike exclusive reliance on either source, CU leverages surface water during adequate canal flows and groundwater during deficits, reducing pressure on aquifers and stabilizing aquifer recharge patterns. Evidence from South Asia (Kumar et al., \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e2018\u003c/span\u003e), the Middle East (Qureshi et al., \u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e2010\u003c/span\u003e), and semi-arid regions globally (Famiglietti, \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e2014\u003c/span\u003e) confirms CU's potential to reduce externality costs and improve system resilience.\u003c/p\u003e \u003cp\u003eIn India's canal command areas, however, CU adoption faces structural barriers. Policy frameworks have historically treated surface and groundwater management in silos, with canal agencies focused on delivery quotas while groundwater regulation has remained fragmented and weakly enforced (Rao \u0026amp; Rao, \u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e2016\u003c/span\u003e; Shah et al., \u003cspan citationid=\"CR52\" class=\"CitationRef\"\u003e2013\u003c/span\u003e). The result is a paradox: farmers nearest the canal over-extract surface water, while tail-end farmers over-extract groundwater, with neither internalizing the full cost of their resource use (Molle et al., \u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e2008\u003c/span\u003e).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003e2.3 Key Definitions\u003c/h2\u003e \u003cp\u003e \u003cstrong\u003eInitial failure of a borewell\u003c/strong\u003e \u003cp\u003eA borewell that failed to yield groundwater immediately after drilling and never produced water thereafter, representing a complete loss of drilling investment.\u003c/p\u003e \u003c/p\u003e \u003cp\u003e \u003cstrong\u003eSubsistence life of a borewell\u003c/strong\u003e \u003cp\u003eThe number of years a borewell yields groundwater within the payback period (PBP); determines whether initial investment was recovered.\u003c/p\u003e \u003c/p\u003e \u003cp\u003e \u003cstrong\u003ePremature failure\u003c/strong\u003e \u003cp\u003eA borewell that ceases to yield groundwater before reaching its subsistence life or PBP, indicating inefficient groundwater management and resulting in economic losses.\u003c/p\u003e \u003c/p\u003e \u003cp\u003e \u003cstrong\u003eEconomic life of a borewell\u003c/strong\u003e \u003cp\u003eThe number of years a borewell continued to yield groundwater after exceeding its PBP, representing long-term economic utility.\u003c/p\u003e \u003c/p\u003e \u003cp\u003e \u003cstrong\u003eConjunctive Water Users (CW)\u003c/strong\u003e \u003cp\u003eFarmers who coordinate the use of both surface water (from the canal) and groundwater (from borewells), relying on groundwater primarily as a buffer during surface water shortages.\u003c/p\u003e \u003c/p\u003e \u003c/div\u003e"},{"header":"3. Data and Methods","content":"\u003cdiv id=\"Sec7\" class=\"Section2\"\u003e \u003ch2\u003e3.1 Study Area\u003c/h2\u003e \u003cp\u003eThe Karimnagar and Warangal districts of Telangana, lying within the Godavari command area of the Lower Manair Dam (LMD), were selected for their representativeness of the head-middle-tail irrigation gradient and their acute groundwater stress. The LMD, constructed at the confluence of the Manair and Mohedamada rivers, commands a catchment of 6,464 km\u0026sup2; and stores approximately 680\u0026nbsp;million cubic metres of water, enabling irrigation across 163,000 hectares. Telangana's agricultural sector benefits from two major river systems \u0026mdash; the Godavari and the Krishna \u0026mdash; both of which face increasing pressure from agricultural water demand, with the Godavari basin recording significant groundwater depletion in recent assessments (CGWB, 2023). The region is representative of peninsular India's agrarian groundwater crisis (Rodell et al., \u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e2009\u003c/span\u003e), making it an ideal study area for externality analysis.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003e3.2 Agricultural Landscape\u003c/h2\u003e \u003cp\u003ePaddy is the dominant crop in the command area, covering 198,000 hectares annually (32.5% of gross cropped area), reflecting the region's strong surface irrigation infrastructure and assured procurement through government mechanisms. Cotton is the second most important crop (158,700 ha; 26% of GCA), followed by maize, red gram, and vegetables on smaller scales. The predominance of paddy despite its high water intensity (requiring 77\u0026ndash;90 acre-inches per season) is closely tied to Minimum Support Price (MSP) guarantees and well-developed procurement infrastructure (Ramesh Chand, \u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e2017\u003c/span\u003e). This policy context creates strong crop-switching rigidities that interact with water governance challenges.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec9\" class=\"Section2\"\u003e \u003ch2\u003e3.3 Sampling and Data Collection\u003c/h2\u003e \u003cp\u003eThree water user categories were delineated: (1) Surface Water users (SW; n\u0026thinsp;=\u0026thinsp;60), (2) Groundwater users (GW; n\u0026thinsp;=\u0026thinsp;60, comprising 72 GW-CIF and 4 GW-DIF sub-groups by irrigation method), and (3) Conjunctive Water users (CW; n\u0026thinsp;=\u0026thinsp;60). Farmers were selected through stratified random sampling using farmer lists obtained from local agricultural extension offices, ensuring adequate representation of irrigation practices and socioeconomic diversity across the command area.\u003c/p\u003e \u003cp\u003ePrimary data were collected through a semi-structured questionnaire pre-tested on a pilot sample of 15 farmers. The survey instruments captured irrigation infrastructure characteristics, borewell drilling and operational costs, crop-wise input costs and output data, groundwater table trends, borewell failure history, and externality indicators. Data collection was conducted during the 2017\u0026ndash;2018 crop year in coordination with district agricultural extension offices.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec10\" class=\"Section2\"\u003e \u003ch2\u003e3.4 Measurement of Water Quantities\u003c/h2\u003e \u003cdiv id=\"Sec11\" class=\"Section3\"\u003e \u003ch2\u003e3.4.1 Surface Water\u003c/h2\u003e \u003cp\u003eQuantity of water extracted\u0026thinsp;=\u0026thinsp;Number of irrigations \u0026times; Depth of irrigation (cm) \u0026times; Area irrigated (ha)\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec12\" class=\"Section3\"\u003e \u003ch2\u003e3.4.2 Groundwater (Volumetric Analysis)\u003c/h2\u003e \u003cp\u003eA volumetric method was used to compute water yield from each irrigation borewell based on pump discharge rate (GPH), operating hours, and irrigation events. One acre-inch\u0026thinsp;=\u0026thinsp;22,611 gallons.\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv id=\"Sec13\" class=\"Section2\"\u003e \u003ch2\u003e3.5 Amortized Cost of Borewell and Externality Estimation\u003c/h2\u003e \u003cdiv id=\"Sec14\" class=\"Section3\"\u003e \u003ch2\u003e3.5.1 Amortized Cost of Borewell (AC)\u003c/h2\u003e \u003cp\u003eThe amortized cost was computed using the following formula:\u003cdiv id=\"Equa\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equa\" name=\"EquationSource\"\u003e\n$$\\:\\varvec{A}\\varvec{C}\\:=\\:\\varvec{C}\\varvec{C}\\:\\times\\:\\:\\left[\\right(1+\\varvec{i})^\\varvec{A}\\varvec{L}\\:\\times\\:\\:\\varvec{i}]\\:/\\:\\left[\\right(1+\\varvec{i})^\\varvec{A}\\varvec{L}\\:-\\:1]\\:...\\:\\left(1\\right)$$\u003c/div\u003e\u003c/div\u003e\u003c/p\u003e \u003cp\u003eWhere CC\u0026thinsp;=\u0026thinsp;Compounded historical investment cost at the reference year; i\u0026thinsp;=\u0026thinsp;discount rate (2% real); AL\u0026thinsp;=\u0026thinsp;average economic life in years (from survey data). The compounded cost was derived as:\u003cdiv id=\"Equb\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equb\" name=\"EquationSource\"\u003e\n$$\\:\\varvec{C}\\varvec{C}\\:=\\:\\varvec{H}\\varvec{i}\\varvec{s}\\varvec{t}\\varvec{o}\\varvec{r}\\varvec{i}\\varvec{c}\\varvec{a}\\varvec{l}\\:\\varvec{I}\\varvec{n}\\varvec{v}\\varvec{e}\\varvec{s}\\varvec{t}\\varvec{m}\\varvec{e}\\varvec{n}\\varvec{t}\\:\\times\\:\\:(1+\\varvec{i})^(\\varvec{r}\\varvec{e}\\varvec{f}\\varvec{e}\\varvec{r}\\varvec{e}\\varvec{n}\\varvec{c}\\varvec{e}\\:\\varvec{y}\\varvec{e}\\varvec{a}\\varvec{r}\\:-\\:\\varvec{y}\\varvec{e}\\varvec{a}\\varvec{r}\\:\\varvec{o}\\varvec{f}\\:\\varvec{d}\\varvec{r}\\varvec{i}\\varvec{l}\\varvec{l}\\varvec{i}\\varvec{n}\\varvec{g})\\:...\\:\\left(2\\right)$$\u003c/div\u003e\u003c/div\u003e\u003c/p\u003e \u003cp\u003eA discount rate of 2% per annum was adopted, consistent with the prevailing real interest rate on agricultural investment in India during the study period and following Nagaraj et al. (\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e2002\u003c/span\u003e).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec15\" class=\"Section3\"\u003e \u003ch2\u003e3.5.2 Externality Cost per Borewell\u003c/h2\u003e \u003cp\u003e \u003cdiv id=\"Equc\" class=\"Equation\"\u003e \u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equc\" name=\"EquationSource\"\u003e\n$$\\:Externalitycostperborewell=\\left[Amortizedinvestmentoversubsistenceeconomiclife,whicheverisrelevant\\right]-\\left[WeightedcontributionofwellsthatservedtheirPBPandeconomiclife\\right],\\:divided\\:by\\:total\\:number\\:of\\:wells\\:on\\:the\\:farm$$\u003c/div\u003e \u003c/div\u003e \u003c/p\u003e \u003cp\u003eThis captures the irrecoverable capital losses from premature failures and under-productive borewells attributable to groundwater overextraction \u0026mdash; the key externality in this analysis.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec16\" class=\"Section3\"\u003e \u003ch2\u003e3.5.3 Cost of Surface Water\u003c/h2\u003e \u003cp\u003eSurface water was valued following the methodology of Nagaraj et al. (\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e2002\u003c/span\u003e), who estimated the canal water price at ₹12/acre-inch in 2002. This was compounded at 2% per annum to the reference year, yielding ₹16.47/acre-inch for the 2017\u0026ndash;18 crop year.\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv id=\"Sec17\" class=\"Section2\"\u003e \u003ch2\u003e3.6 Partial Budgeting\u003c/h2\u003e \u003cp\u003eThe partial budgeting framework (Kay et al., \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2008\u003c/span\u003e; Jolly, \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e1983\u003c/span\u003e) was applied to assess the incremental profitability of switching from exclusive groundwater irrigation (GW) to conjunctive use (CW). The net change formula is:\u003cdiv id=\"Equd\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equd\" name=\"EquationSource\"\u003e\n$$\\:\\varvec{N}\\varvec{e}\\varvec{t}\\:\\varvec{C}\\varvec{h}\\varvec{a}\\varvec{n}\\varvec{g}\\varvec{e}\\:=\\:(\\varvec{A}\\varvec{d}\\varvec{d}\\varvec{i}\\varvec{t}\\varvec{i}\\varvec{o}\\varvec{n}\\varvec{a}\\varvec{l}\\:\\varvec{R}\\varvec{e}\\varvec{t}\\varvec{u}\\varvec{r}\\varvec{n}\\varvec{s}\\:+\\:\\varvec{R}\\varvec{e}\\varvec{d}\\varvec{u}\\varvec{c}\\varvec{e}\\varvec{d}\\:\\varvec{C}\\varvec{o}\\varvec{s}\\varvec{t}\\varvec{s})\\:-\\:(\\varvec{A}\\varvec{d}\\varvec{d}\\varvec{i}\\varvec{t}\\varvec{i}\\varvec{o}\\varvec{n}\\varvec{a}\\varvec{l}\\:\\varvec{C}\\varvec{o}\\varvec{s}\\varvec{t}\\varvec{s}\\:+\\:\\varvec{R}\\varvec{e}\\varvec{d}\\varvec{u}\\varvec{c}\\varvec{e}\\varvec{d}\\:\\varvec{R}\\varvec{e}\\varvec{t}\\varvec{u}\\varvec{r}\\varvec{n}\\varvec{s})$$\u003c/div\u003e\u003c/div\u003e\u003c/p\u003e \u003cp\u003eThis approach evaluated irrigation cost savings, yield improvements, labor efficiency gains, and externality cost reductions under the CW regime relative to GW-only practices. The validity of partial budgeting depends on data accuracy, and all cost estimates were validated against published benchmarks (Malcolm et al., \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e2005\u003c/span\u003e; Palanisami et al., \u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e2015\u003c/span\u003e).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec18\" class=\"Section2\"\u003e \u003ch2\u003e3.7 Statistical Analysis\u003c/h2\u003e \u003cp\u003eTo test whether differences in externality costs, irrigation expenditures, and profitability across irrigation regimes were statistically significant, one-way Analysis of Variance (ANOVA) was conducted for each key variable with irrigation regime (SW, GW-CIF, GW-DIF, CW) as the grouping factor. Normality was assessed using the Shapiro-Wilk test; where the normality assumption was violated, the non-parametric Kruskal-Wallis H-test was applied as a robustness check. For variables where ANOVA indicated significant overall differences (F-test, p\u0026thinsp;\u0026lt;\u0026thinsp;0.05), pairwise comparisons were conducted using Tukey's Honestly Significant Difference (HSD) post-hoc test to identify which specific regime pairs differed significantly. Statistical significance is reported as: *** p\u0026thinsp;\u0026lt;\u0026thinsp;0.001, ** p\u0026thinsp;\u0026lt;\u0026thinsp;0.01, * p\u0026thinsp;\u0026lt;\u0026thinsp;0.05, ns\u0026thinsp;=\u0026thinsp;not significant. All analyses were performed in Stata 16.\u003c/p\u003e \u003c/div\u003e"},{"header":"4. Results and Discussion","content":"\u003cdiv id=\"Sec20\" class=\"Section2\"\u003e \u003ch2\u003e4.1 Groundwater Infrastructure and Borewell Failure Dynamics\u003c/h2\u003e \u003cp\u003eAmong GW-CIF farmers, 72 borewells were operational, of which 57 (79%) were functioning and 15 (21%) had failed prematurely. GW-DIF farmers operated 4 borewells, with 1 premature failure (25%). In stark contrast, CW farmers had 67 borewells, with only 7 failures (10%) \u0026mdash; a significantly lower failure rate (p\u0026thinsp;\u0026lt;\u0026thinsp;0.01, ANOVA). Borewell depth was also significantly greater among GW users (290 feet for CIF; 333 feet for DIF) than among CW users (188 feet; p\u0026thinsp;\u0026lt;\u0026thinsp;0.001), reflecting the accelerating depletion of accessible aquifer depths under exclusive groundwater reliance.\u003c/p\u003e \u003cp\u003eThis depth escalation mirrors findings from Konikow and Kendy (\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2005\u003c/span\u003e), who documented progressive borewell deepening as a self-reinforcing cycle in overexploited aquifer systems. Sekhri (\u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e2014\u003c/span\u003e) similarly found that in hard-rock aquifer regions of India, each meter of deepening imposes increasing capital costs while delivering diminishing marginal water yields. The drip-irrigated GW farmers (DIF), ironically, drill to the greatest depth (333 feet) \u0026mdash; a consequence of cumulative overextraction during their prior conventional farming phase, which drove them to adopt drip irrigation as a last resort rather than a proactive efficiency choice. This resonates with Grafton et al.'s (\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e2018\u003c/span\u003e) paradox of irrigation efficiency, wherein efficiency investments often accelerate rather than arrest groundwater depletion when institutional constraints on extraction volumes are absent.\u003c/p\u003e \u003cp\u003eFrequent borewell failures on a farm impose costs not only on the failing farmer but also on neighboring farms accessing the same aquifer \u0026mdash; a classic externality. Evidence from Amit Kapoor \u0026amp; Mukul Anand (2024) documents how well failures in India's hard-rock regions trigger a cascade of social harms, including forced migration and land abandonment, consistent with findings from Wada et al. (\u003cspan citationid=\"CR62\" class=\"CitationRef\"\u003e2010\u003c/span\u003e) on the socioeconomic dimensions of global groundwater depletion.4\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec21\" class=\"Section2\"\u003e \u003ch2\u003e4.2 Externality Costs and Irrigation Economics Across Regimes\u003c/h2\u003e \u003cp\u003eTable\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e presents the comparative economics of groundwater irrigation across user categories, with one-way ANOVA significance results for key variables.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eEconomics of Groundwater Irrigation per Farm under GW-CIF, GW-DIF, and CW Regimes\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"5\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003e Particulars\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eGW-CIF\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eGW-DIF\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eCW (Conjunctive)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eSig. (ANOVA)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colspan=\"5\" nameend=\"c5\" namest=\"c1\"\u003e \u003cp\u003eA. Borewell Infrastructure\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTotal number of borewells\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e72\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e67\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026mdash;\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFunctioning borewells (%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e57 (79%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3 (75%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e60 (90%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e**\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFailed borewells (%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e15 (21%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1 (25%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e7 (10%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e**\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDepth of borewells (feet)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e290\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e333\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e188\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e***\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eYield of borewell (GPH)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2,272\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1,433\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2,623\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e*\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eB. Irrigation Costs (₹)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAmortized cost per functioning well (₹)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e18,382\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e29,166\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e9,912\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e***\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAnnual repairs and maintenance (₹)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2,000\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2,250\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2,000\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003ens\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAnnual cost of groundwater irrigation (₹)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e21,184\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e26,272\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e13,870\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e***\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCost per acre-inch of groundwater (₹)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e7,892\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e14,330\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e248\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e***\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGroundwater extracted/farm/year (acre-inches)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e74\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e37\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e56\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e**\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSurface water used (acre-inches)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026mdash;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026mdash;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e182\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026mdash;\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eImputed cost per acre-inch of surface water (₹)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026mdash;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026mdash;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e16.47\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026mdash;\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCost of surface water (₹)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026mdash;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026mdash;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2,994\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026mdash;\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTotal annual irrigation cost (SW\u0026thinsp;+\u0026thinsp;GW) (₹)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026mdash;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026mdash;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e16,863\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026mdash;\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eC. Externality Costs (₹)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAmortized cost per well (₹)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e14,552\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e21,874\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e9,011\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e***\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNegative externality per borewell (₹)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3,830\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e7,291\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e901\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e***\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eExternality cost as % of amortized cost\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e26.31%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e33.33%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e10.00%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e**\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eExternality cost per acre (₹)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1,275\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3,645\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026mdash;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e***\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"5\"\u003e\u003cem\u003eNote: Figures in parentheses indicate percentages of totals. Sig. column reports one-way ANOVA results for differences across GW-CIF, GW-DIF, and CW groups. *** p\u0026thinsp;\u0026lt;\u0026thinsp;0.001; ** p\u0026thinsp;\u0026lt;\u0026thinsp;0.01; * p\u0026thinsp;\u0026lt;\u0026thinsp;0.05; ns\u0026thinsp;=\u0026thinsp;not significant. Post-hoc Tukey HSD tests confirmed significant pairwise differences between CW and both GW groups for all *** and ** variables.\u003c/em\u003e\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eNegative externality costs per borewell were ₹3,830 under GW-CIF and ₹7,291 under GW-DIF, compared to just ₹901 under CW, a statistically significant reduction of 76.5% and 87.6% respectively (p\u0026thinsp;\u0026lt;\u0026thinsp;0.001). As a share of total amortized cost, externalities constituted 26.3% (CIF), 33.3% (DIF), and only 10% (CW), significant at p\u0026thinsp;\u0026lt;\u0026thinsp;0.01. These results decisively reject the null hypothesis and confirm that conjunctive use significantly attenuates groundwater externality costs.\u003c/p\u003e \u003cp\u003eThe mechanism is straightforward: CW farmers rely predominantly (76%) on surface water, reducing borewell stress, enabling shallower and more reliable groundwater access (mean depth: 188 feet vs. 290\u0026ndash;333 feet for GW), and lowering both amortized costs (₹9,012/well vs. ₹14,552\u0026ndash;21,874) and failure rates. The annual cost per acre-inch of groundwater was dramatically lower for CW users (₹248) versus CIF (₹7,892) and DIF (₹14,330) users (p\u0026thinsp;\u0026lt;\u0026thinsp;0.001), underscoring the irrigation cost efficiency of conjunctive arrangements.\u003c/p\u003e \u003cp\u003eThese findings align with Kumar et al. (\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e2018\u003c/span\u003e) and Venkataramana et al. (\u003cspan citationid=\"CR61\" class=\"CitationRef\"\u003e2020\u003c/span\u003e), who demonstrated that conjunctive use in Indian canal command areas can reduce groundwater extraction costs by 50\u0026ndash;70%. They also corroborate international evidence: Qureshi et al. (\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e2010\u003c/span\u003e) found analogous externality reductions in Pakistan's Indus Basin under conjunctive water management, and Van Steenbergen (\u003cspan citationid=\"CR59\" class=\"CitationRef\"\u003e2006\u003c/span\u003e) documented institutional conditions under which local conjunctive use management reduced aquifer depletion rates significantly in South and West Asia.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec22\" class=\"Section2\"\u003e \u003ch2\u003e4.3 Economic Performance Across Water User Categories\u003c/h2\u003e \u003cp\u003eTable\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e presents crop-level economic performance across irrigation regimes, with Tukey HSD test results comparing each regime against surface water users (SW) as the reference group.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eEconomic Variability of Water Users in the Godavari Command Area\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"7\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eWater User / Crop\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eN\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eWater Used (Acre-Inch)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eIrrigation Cost/Acre (₹)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eTotal Cultivation Cost (₹)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eNet Returns per ₹ of Irrigation Cost\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003eSig. vs SW (Tukey HSD)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSurface Water Users (SW)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePaddy (Reference)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e60\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e77.93\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e1,284\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e33,042\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e\u003cb\u003e5.85\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003eRef.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eConjunctive Water Users (CW)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePaddy\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e60\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e23\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e3,464\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e32,954\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e4.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e*\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCotton\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e18\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e2,693\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e40,734\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e3.88\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e**\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMaize\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e24\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e3,676\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e29,121\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2.92\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e**\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eGroundwater Users (GW)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePaddy\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e48\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e27\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e8,276\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e37,559\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e\u003cb\u003e0.95\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e***\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCotton\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e6,191\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e41,411\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e1.47\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e***\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMaize\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e21\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e6,376\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e40,969\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e1.21\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e***\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"7\"\u003e\u003cem\u003eNote: Sig. column shows Tukey HSD pairwise comparison against SW Paddy (reference). *** p\u0026thinsp;\u0026lt;\u0026thinsp;0.001; ** p\u0026thinsp;\u0026lt;\u0026thinsp;0.01; * p\u0026thinsp;\u0026lt;\u0026thinsp;0.05. Net returns per rupee of irrigation cost = (Gross returns\u0026thinsp;\u0026minus;\u0026thinsp;Non-irrigation costs) \u0026divide; Irrigation cost.\u003c/em\u003e\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eSurface-irrigated paddy achieves the highest net returns per rupee of irrigation cost (₹5.85), reflecting both the low imputed cost of surface water (₹16.47/acre-inch) and strong market integration through MSP procurement. CW paddy yields ₹4.09 (significantly lower at p\u0026thinsp;\u0026lt;\u0026thinsp;0.05), while GW-dependent paddy collapses to ₹0.95 per rupee of irrigation cost \u0026mdash; near economic breakeven \u0026mdash; a difference significant at p\u0026thinsp;\u0026lt;\u0026thinsp;0.001.\u003c/p\u003e \u003cp\u003eThe profitability erosion under exclusive groundwater use is not solely a function of extraction costs; it also reflects the externality burden embedded in escalating amortized borewell costs. When externality costs are fully accounted for, GW paddy profitability is likely even lower than Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e suggests. This pattern is consistent with Sekhri's (2014) American Economic Journal findings on groundwater access, welfare, and conflict in India, and with Fishman et al.'s (\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e2015\u003c/span\u003e) modelling showing that without demand-side constraints, improved extraction technology alone cannot arrest aquifer depletion.\u003c/p\u003e \u003cp\u003eAmong CW users, cotton (₹3.88) and maize (₹2.92) show respectable returns per rupee of irrigation cost, though significantly lower than SW paddy (p\u0026thinsp;\u0026lt;\u0026thinsp;0.01), reflecting higher groundwater irrigation costs for these crops. Critically, maize under GW irrigation yields only ₹1.21 \u0026mdash; among the lowest values recorded \u0026mdash; despite being identified globally as a water-efficient alternative to paddy (Perry, \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e2007\u003c/span\u003e; Falkenmark \u0026amp; Rockstr\u0026ouml;m, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e2006\u003c/span\u003e). This suggests that the economic viability of crop diversification is systematically suppressed by the cost burden of groundwater extraction in the absence of MSP support for alternative crops.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec23\" class=\"Section2\"\u003e \u003ch2\u003e4.4 Interlinkages Between Externalities and Water Supply: A Pigouvian Analysis\u003c/h2\u003e \u003cp\u003eThe externality cost findings can be situated within a supply-side welfare framework drawn from Pigouvian economics. Figure\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e3\u003c/span\u003e illustrates three equilibria: the privately optimal equilibrium (E_priv), the social equilibrium under exclusive groundwater extraction (E_GW), and the social equilibrium under conjunctive use (E_CW).\u003c/p\u003e \u003cp\u003eFor exclusive groundwater users, the social supply curve (S_Social-GW) lies substantially above the private supply curve (S_Private), reflecting uncompensated external costs \u0026mdash; deeper drilling necessitated by aquifer depletion, borewell failure losses borne by all users accessing the same aquifer, and the escalating pumping costs from declining water tables. This upward wedge represents precisely the negative externality quantified in this study: ₹3,830/borewell for GW-CIF and ₹7,291/borewell for GW-DIF (p\u0026thinsp;\u0026lt;\u0026thinsp;0.001). As Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e3\u003c/span\u003e shows, equilibrium shifts from the privately optimal point (E_priv) to a less favourable position (E_GW), characterized by higher effective water prices and a reduced quantity of sustainably available groundwater \u0026mdash; outcomes consistent with the higher costs and lower profitability documented among GW-dependent farmers (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eIn contrast, the adoption of conjunctive use (CU) irrigation substantially narrows the externality wedge: S_Social-CW lies much closer to S_Private, reflecting the dramatically lower externality burden (₹901/borewell; p\u0026thinsp;\u0026lt;\u0026thinsp;0.001 vs. GW groups). Equilibrium gravitates toward E_CW \u0026mdash; closer to the social optimum \u0026mdash; with lower effective water prices and greater sustainably available water quantities. Water prices stabilize, and a larger portion of the aquifer resource remains available for future use. This supply-side adjustment corroborates the empirical finding that CU farmers bear 76.5\u0026ndash;87.6% lower externality costs per borewell than exclusive groundwater users.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eThis economic illustration also resonates with Ostrom's (1990) sustainability principles: effective resource governance and integrated management practices like CU irrigation internalize externalities and foster collective action toward sustainability. When pricing mechanisms align with the true social cost of water \u0026mdash; as reflected in the supply-curve shifts illustrated \u0026mdash; sustainable resource utilization is incentivized, equity among users is enhanced, and resilience against climatic variability is strengthened. These findings also support the growing consensus that groundwater-dependent irrigation is becoming increasingly unsustainable for smallholders, as operational costs rise with declining water tables (Meinzen-Dick, \u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e1996\u003c/span\u003e; Kumar et al., \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Konikow \u0026amp; Kendy, \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2005\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eSpatial inequities compound the governance failure. Head-end CW farmers consume 182 acre-inches of surface water per farm \u0026mdash; well above optimal allocation \u0026mdash; facilitated by physical proximity to the canal and weak enforcement of volumetric water rights. This over-appropriation reduces downstream surface water availability, pushing tail-end farmers toward groundwater reliance (74 acre-inches) and intensifying aquifer pressure. Molle et al. (\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e2008\u003c/span\u003e) characterize this as a 'hydraulic mission pathology': large-scale irrigation infrastructure creates incentive structures that systematically advantage physically proximate users while imposing hydrological externalities on distant ones. The supply curve framework captures this spatial dimension as well: head-end farmers effectively extract at the private optimum while imposing the social cost on tail-end neighbours.\u003c/p\u003e \u003cp\u003eFrom a governance perspective, Ostrom's design principles are only weakly instantiated in the Godavari command area. Boundaries are ill-defined (especially for groundwater), collective choice mechanisms for water allocation are absent at the aquifer level, monitoring is minimal, and graduated sanctions for overextraction are non-existent. Meinzen-Dick et al. (\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e2016\u003c/span\u003e) found similar institutional vacuums in their games-based field experiments on groundwater governance in Andhra Pradesh, confirming that the institutional prerequisites for Ostromian self-governance are rarely met in India's groundwater commons. Without addressing these governance deficits, the supply curve will continue its upward drift under GW-dominant regimes, with tail-end farmers bearing the compounding welfare costs.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec24\" class=\"Section2\"\u003e \u003ch2\u003e4.5 Profitability of Conjunctive Use over Groundwater-Only Irrigation\u003c/h2\u003e \u003cp\u003ePartial budget analysis comparing CW against exclusive GW irrigation reveals a net profitability advantage of ₹10,475 per acre under CW. This gain arises from multiple sources: reduced irrigation costs (₹6,045/acre), labor efficiency improvements (human labor: ₹1,566/acre; machine labor: ₹1,283/acre), and yield improvements (₹1,714/acre in gross returns), partially offset by marginally higher input and bullock labor costs (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e4\u003c/span\u003ea). Figure\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e4\u003c/span\u003eb complements this by directly comparing externality costs and total irrigation expenditures across the three regimes, confirming the stark economic advantage of CU.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eThe irrigation cost saving of ₹6,045/acre (a 60\u0026ndash;70% reduction) is the largest single contributor to CU's profitability advantage and is consistent with Fishman et al. (\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e2015\u003c/span\u003e) and Shah et al. (2009), who modelled analogous savings under coordinated surface-groundwater management in semi-arid South Asian contexts. These savings stem not only from reduced groundwater pumping volumes but also from lower energy costs and reduced wear on irrigation infrastructure, contributing to long-term farm sustainability. Furthermore, reduced reliance on diesel-powered pumping has implications for lowering greenhouse gas emissions, aligning CU practices with sustainable intensification goals (Birner \u0026amp; Resnick, \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2010\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eLabour efficiency also improved under CU systems, with savings of ₹1,566/acre in human labor and ₹1,283/acre in machine labor. These outcomes reflect enhanced field scheduling enabled by reliable water availability \u0026mdash; a finding supported by Krupnik et al. (\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2017\u003c/span\u003e) in Bangladesh and Palanisami et al. (\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e2015\u003c/span\u003e) in South India. The ₹1,714/acre yield improvement, while modest, is consistent with evidence that water stress relief during critical crop growth stages delivers disproportionate yield benefits (Falkenmark \u0026amp; Rockstr\u0026ouml;m, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e2006\u003c/span\u003e; Kumar et al., \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e2018\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eThe reduction in groundwater dependency under CU carries ecological co-benefits beyond the farm level: by stabilizing aquifer recharge patterns and reducing the ecological footprint of irrigated agriculture (Varady et al., \u003cspan citationid=\"CR60\" class=\"CitationRef\"\u003e2013\u003c/span\u003e), CU systems contribute to climate resilience \u0026mdash; particularly important given increasing monsoon variability documented across the Telangana region (Venkataramana et al., \u003cspan citationid=\"CR61\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). Despite these benefits, only 60 of 180 surveyed farmers (33%) operate under CU, and those that do are overwhelmingly head-end or mid-reach farmers with physical access to canal water. Tail-end farmers \u0026mdash; the group most burdened by groundwater externalities \u0026mdash; remain structurally excluded from CU's benefits. Addressing this requires infrastructure investment in canal extensions, equitable allocation reforms, and community-level groundwater governance (Meinzen-Dick et al., \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e2018\u003c/span\u003e; Van Steenbergen, \u003cspan citationid=\"CR59\" class=\"CitationRef\"\u003e2006\u003c/span\u003e).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec25\" class=\"Section2\"\u003e \u003ch2\u003e4.6 Policy Implications\u003c/h2\u003e \u003cp\u003eThe findings collectively point to four interconnected policy imperatives. First, water pricing reform is essential: the current near-zero effective cost of groundwater extraction fails to signal scarcity or internalize externalities. Tiered volumetric pricing \u0026mdash; with a low lifeline tier for subsistence needs and progressively higher rates for larger extraction \u0026mdash; is theoretically sound (Shah, \u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e2009\u003c/span\u003e) and has shown effectiveness in contexts including Israel (Kislev, \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e2011\u003c/span\u003e) and Spain (Hern\u0026aacute;ndez-Mora \u0026amp; Llamas, \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e2001\u003c/span\u003e). However, implementation in India must grapple with political economy constraints, particularly the nexus between free power subsidies, groundwater extraction, and agricultural vote banks (Shah, \u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e2009\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eSecond, MSP reform or supplementation is critical to enable crop diversification. The current MSP architecture strongly favors paddy despite its unsustainable water requirements. Extending MSP coverage or direct benefit transfer mechanisms to water-efficient crops like maize, pulses, and oilseeds would weaken the paddy lock-in and create space for agronomically and hydrologically sustainable diversification (Gulati et al., \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2018\u003c/span\u003e; Ramesh Chand, \u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e2017\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eThird, conjunctive use infrastructure investment is urgently needed in tail-end command areas. The profitability advantage of CU (₹10,475/acre net gain) constitutes a compelling economic case for subsidized infrastructure and advisory support for CU adoption, particularly given the externality reductions (76\u0026ndash;88% lower borewell externality costs) it generates. This is consistent with the World Bank's (2020) India groundwater strategy recommendations.\u003c/p\u003e \u003cp\u003eFourth, institutional reforms for common-pool groundwater governance are indispensable. Drawing on Ostrom's (1990) design principles, water user associations at the aquifer level \u0026mdash; with clear extraction rights, monitoring systems, and graduated sanctions \u0026mdash; could internalize externalities that individual price mechanisms cannot reach. Evidence from South India's groundwater cooperative experiments (Meinzen-Dick et al., \u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e2016\u003c/span\u003e) and from Maharashtra's participatory irrigation management programs suggests that community-based governance can complement regulatory mechanisms when effectively implemented.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec26\" class=\"Section2\"\u003e \u003ch2\u003e4.7 Irrigation Practices and Spatial Challenges Across the Command Area\u003c/h2\u003e \u003cp\u003eThe irrigation landscape of the Godavari command area is fundamentally shaped by the spatial gradient between canal proximity and distance. Head-end farmers, located immediately adjacent to the canal infrastructure, are exclusively dependent on surface water and benefit from assured, low-cost, high-volume irrigation. Farmers in the mid-reach and tail-end areas must rely on both surface water from the Lower Manair Dam (LMD) and groundwater sources to meet their farm irrigation demands \u0026mdash; a dual dependency that carries escalating costs as one moves downstream.\u003c/p\u003e \u003cp\u003eOver the years, increased dependence on groundwater has emerged across the command area due to the inconsistent availability of surface water during critical cropping periods, particularly during the rabi season and in years of below-average reservoir storage. The over-extraction of groundwater has, in turn, led to declining water tables and well failures, exacerbating irrigation costs and widening inequities between head-end and tail-end farmers. This feedback loop \u0026mdash; surface water unreliability driving groundwater overextraction, which drives further depletion and cost escalation \u0026mdash; is the central self-reinforcing dynamic documented in this study.\u003c/p\u003e \u003cp\u003eThe spatial distribution of irrigation water highlights stark disparities across the command area. Head-reach farmers, who have privileged physical access to canal water, often extract water in excess of crop requirements (182 acre-inches for CW paddy), leaving mid-reach and tail-end farmers increasingly reliant on costly groundwater (74 acre-inches). This has given rise to a set of significant, mutually reinforcing challenges: increased pumping costs for tail-end farmers, reduced profitability, declining aquifer health, and growing vulnerability to climate variability. The result is a compound externality \u0026mdash; not merely a private cost borne by individual farmers, but a system-wide inequity that undermines the long-term viability of irrigated agriculture in the command area as a whole.\u003c/p\u003e \u003cp\u003eAddressing these spatial challenges requires governance interventions that operate at the command area level, not just the farm level. Volumetric water allocation systems, monitored by water user associations with clear extraction entitlements, could reduce the over-extraction incentives of head-end farmers while providing tail-end farmers with more reliable surface water access. Such institutional reforms, combined with the infrastructure investments in canal extensions and groundwater recharge structures, are prerequisites for achieving the equity and sustainability goals that neither market mechanisms nor individual behavioral changes can deliver alone (Ostrom, \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e1990\u003c/span\u003e; Meinzen-Dick et al., \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e2018\u003c/span\u003e; Van Steenbergen, \u003cspan citationid=\"CR59\" class=\"CitationRef\"\u003e2006\u003c/span\u003e).\u003c/p\u003e \u003c/div\u003e"},{"header":"5. Conclusion","content":"\u003cp\u003eThis study provides one of the few quantified analyses of groundwater externality costs across multiple irrigation regimes within an Indian canal command area, combining amortized cost analysis with partial budgeting and statistical testing. The key findings are unambiguous: exclusive groundwater irrigation \u0026mdash; whether conventional or drip-based \u0026mdash; generates substantially higher negative externality costs than conjunctive use, and these differences are statistically significant at p\u0026thinsp;\u0026lt;\u0026thinsp;0.001. Negative externality costs per borewell are 76.5% lower under conjunctive use than under conventional flood groundwater irrigation, and profitability (net returns per rupee of irrigation cost) under GW-dependent paddy is 84% lower than under surface-irrigated paddy.\u003c/p\u003e \u003cp\u003eThese results carry three broader implications. First, the groundwater crisis in India's canal command areas is fundamentally an institutional failure \u0026mdash; not merely a technical or hydrological problem. The absence of enforceable extraction limits, combined with energy subsidies and MSP-driven crop choices, creates a perfectly adverse incentive architecture for sustainable water use. Without institutional reform, technological fixes (drip irrigation, efficient pumps) risk accelerating depletion rather than arresting it (Grafton et al., \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e2018\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eSecond, conjunctive use represents not just an agronomic practice but a governance paradigm: one that reconciles the private imperatives of farm profitability with the collective imperative of aquifer sustainability. Policies that enable broader CU adoption \u0026mdash; particularly in tail-end command areas currently excluded from its benefits \u0026mdash; would simultaneously improve farmer welfare and reduce hydrological externalities.\u003c/p\u003e \u003cp\u003eThird, the persistence of water-intensive paddy cultivation despite its spiraling groundwater costs illustrates the power of market and policy structures to override resource sustainability signals. Reforming crop procurement policies alongside water governance is therefore not optional but essential. The internalization of negative groundwater externalities, whether through pricing, institutional governance, or public investment, is imperative for equitable, resilient, and sustainable irrigated agriculture in India's river basins \u0026mdash; and, given India's role as the world's largest groundwater user, for global water security as well.\u003c/p\u003e"},{"header":"Declarations","content":" \u003cp\u003e \u003cstrong\u003eConflict of interest:\u003c/strong\u003e \u003cp\u003eThe authors declare no conflict of interest.\u003c/p\u003e \u003c/p\u003e\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eBS : Wrote main manuscript, Analysis, Data collection, DM: Writing and Editing; P.S.: Supervision, Data curation, Writing and Editing, AS: Writing and Editing; AM: Writing and Editing\u003c/p\u003e\u003ch2\u003eData availability:\u003c/h2\u003e \u003cp\u003eThe raw data supporting the conclusions of this article will be made available by the authors upon reasonable request.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eAmit Kapoor and Mukul Anand (2024) Addressing Groundwater Depletion Crisis in India: Institutionalizing Rights and Technological Innovations. 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Hydrogeol J 14(3):380\u0026ndash;391\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eVarady RG, van Weert F, Megdal SB, Gerlak A, Iskandar CA, House-Peters L (2013) Groundwater governance: A global framework for country action. GEF Thematic Paper 5\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eVenkataramana MN, Muralidhar L, Ranganatha AD, Gururaj B (2020) Curr J Appl Sci Technol 39(44):45\u0026ndash;51\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eWada Y, van Beek LPH, van Kempen CM, Reckman JWTM, Vasak S, Bierkens MFP (2010) Global depletion of groundwater resources. Geophys Res Lett, 37(20)\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eWorld Bank (2020) India Groundwater: A Valuable but Diminishing Resource. World Bank Group\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Irrigation command areas, groundwater externalities, conjunctive use, borewell failure, partial budgeting, water governance, Telangana","lastPublishedDoi":"10.21203/rs.3.rs-9506551/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-9506551/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003ePersistent inequities in irrigation access and unsustainable groundwater extraction remain critical challenges in the canal command areas of India. This study examines the economic and environmental externalities associated with irrigation practices in the Godavari command area of Telangana, comparing four regimes: surface water (SW), conventional flood-irrigated groundwater (GW-CIF), drip-irrigated groundwater (GW-DIF), and conjunctive water use (CW). Primary data from 180 stratified, randomly selected farmers were analyzed using amortized borewell investment costs and a partial budgeting framework to quantify externalities. One-way ANOVA and post-hoc Tukey HSD tests reveal statistically significant differences (p \u0026lt; 0.001) across irrigation regimes in cost structures and profitability. Negative externality costs per borewell were highest under groundwater-dependent systems, ₹3,830 for GW-CIF and ₹7,291 for GW-DIF, compared to ₹901 under CW, indicating reductions of 76.5% and 87.6%, respectively. Conjunctive users also incurred lower annual irrigation costs (₹16,863 vs. ₹21,184 for GW-CIF), while exclusive groundwater users operated significantly deeper borewells (290–333 ft) than CW users (188 ft). Returns per rupee of irrigation cost were markedly lower under groundwater-based paddy (₹0.95) relative to surface-irrigated systems (₹5.85). The findings highlight how head-end over-extraction of surface water intensifies groundwater dependence among tail-end farmers, reinforcing spatial inequities and ecological stress. The persistence of water-intensive paddy cultivation, incentivized by Minimum Support Price (MSP) policies, further constrains diversification. The study underscores the economic and environmental gains from conjunctive water use and calls for policy reforms centered on tiered water pricing, improved canal water governance, and alignment of market incentives with sustainable water use.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eJEL Classification: \u003c/strong\u003eQ15, Q25, Q58\u003c/p\u003e","manuscriptTitle":"Irrigation Dynamics in Canal Command Areas: Quantifying Externality Costs and Economic Trade-offs Across Water User Regimes in the Godavari Basin, India","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-04-27 04:14:50","doi":"10.21203/rs.3.rs-9506551/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"9c6e561c-4e88-4f68-a3f2-37d8960f55f3","owner":[],"postedDate":"April 27th, 2026","published":true,"recentEditorialEvents":[{"type":"decision","content":"Rejected","date":"2026-05-11T09:05:09+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2026-05-08T11:46:37+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2026-05-07T14:28:12+00:00","index":"","fulltext":""}],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2026-05-11T09:14:15+00:00","versionOfRecord":[],"versionCreatedAt":"2026-04-27 04:14:50","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-9506551","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-9506551","identity":"rs-9506551","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}