Research Trends in Corruption, Governance, and Capital Flows: A Bibliometric Analysis with an Asian Perspective (1996–2024)

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This study presents a bibliometric analysis of scholarly research on these topics from 1996 to 2024, focusing on publication trends, leading authors, influential journals, country-wise outputs, institutional collaborations, thematic clusters, and citation impact. Data were retrieved from Scopus and Web of Science databases, and analytical tools such as Biblioshiny (RStudio) and VOS viewer were employed to visualise co-authorship networks, keyword co-occurrence, and institutional linkages. The findings reveal a steady growth in publications, with China, India, and Japan emerging as the most productive countries, while key journals such as World Development and Journal of Development Studies dominate the field. Thematic analysis identifies five primary clusters: governance and corruption, capital flows and FDI, institutional quality, anti-corruption policies, and emerging markets. Seminal publications and influential authors shaping the intellectual landscape are highlighted. The study offers insights into research evolution, collaboration patterns, and emerging topics in the Asian context, providing a foundation for future research and policy interventions. Business and commerce/Business and management Social science/Business and management Social science/Development studies Business and commerce/Economics Social science/Economics Business and commerce/Finance Social science/Finance Business and commerce/Information systems and information technology Bibliometric Analysis Corruption Governance Capital Flows Asia Research Trends Scientometrics Figures Figure 1 1. Introduction Corruption, governance, and capital flows represent a critical nexus that significantly influences economic growth, institutional development, and financial stability across countries. Effective governance frameworks, characterised by transparency, accountability, and the rule of law, are widely recognised as essential for attracting foreign investment and promoting efficient capital allocation, whereas weak institutions and high corruption levels often result in capital flight, market distortions, and reduced investor confidence (Mauro, 1995; Kaufmann et al., 2009). These issues are particularly pronounced in Asia, a region experiencing rapid economic transformation, increasing financial integration, and heterogeneous institutional quality (Asongu & Nwachukwu, 2016). Events such as the Asian Financial Crisis (1997–1998) and the Global Financial Crisis (2008) further emphasised the need for rigorous research into how governance and corruption influence the movement of domestic and foreign capital (Wei, 2000). Over the past three decades, scholarly research on this subject has expanded substantially, spanning disciplines such as economics, political science, public administration, and development studies. However, existing studies remain fragmented, and there is limited evidence of systematic analyses examining the evolution, intellectual structure, and thematic trends of research, particularly with a regional focus on Asia. Bibliometric analysis offers a robust method to quantitatively assess publication patterns, identify influential authors and institutions, map collaboration networks, and uncover emerging themes in a research field (Donthu et al., 2021; Aria & Cuccurullo, 2017). Against this backdrop, the present study aims to provide a comprehensive bibliometric assessment of research on corruption, governance, and capital flows from 1996 to 2024, with an emphasis on Asian scholarship. The study seeks to map research growth, identify key contributors and journals, evaluate collaborative networks, and analyze thematic evolution, thereby offering insights into the intellectual landscape and guiding future research and policy discourse in the region. 2. Literature Review Research on corruption, governance, and capital flows spans multiple disciplines, including economics, political science, public administration, and international finance. Seminal contributions by Mauro (1995) established that corruption exerts a significant negative effect on investment and economic growth. Subsequent empirical investigations reinforced this conclusion, demonstrating that corruption is associated with reduced foreign direct investment (FDI), lower capital accumulation, and weakened macroeconomic performance (Mauro, 1997; Gupta, Davoodi, & Alonso Terme, 2002; Lambsdorff, 2003). Complementing this perspective, Knack and Keefer (1995) and Kaufmann, Kraay, and Zoido Lobatón (1999) emphasized that governance quality measured through transparency, accountability, regulatory effectiveness, and rule of law is fundamental to economic efficiency. These institutional dimensions consistently moderate the adverse effects of corruption on development outcomes (Treisman, 2000; Kaufmann, Kraay, & Mastruzzi, 2009). The governance–capital flow nexus has likewise received sustained scholarly attention. Early theoretical and empirical contributions by Lipsey and Choi (1995) and Blomström, Lipsey, and Zejan (1994) posited that sound institutional environments enhance a country’s attractiveness to foreign investors. Wei (2000) provided compelling evidence that corruption operates as an implicit tax on investment, thereby discouraging international capital inflows, a finding subsequently corroborated across different contexts (Wei & Wu, 2002; Habib & Zurawicki, 2002; Kolstad & Wiig, 2009). Globerman and Shapiro (2002) and Bénassy-Quéré, Coupet, and Mayer (2007) further demonstrated that institutional infrastructure significantly explains cross-border capital movements. Similarly, Busse and Hefeker (2007) and Saha and Patel (2008) identified regulatory quality, political stability, and governance credibility as robust predictors of FDI inflows. Within the literature on financial openness and capital mobility, governance emerges as a critical enabling factor. Chinn and Ito (2006) developed a widely used de jure index of capital account openness, showing that institutional strength facilitates smoother liberalisation processes. Quinn (2008) and Hauner and Kyobe (2010) similarly argued that governance efficiency influences both the timing and magnitude of financial integration, with institutional weaknesses amplifying vulnerability during liberalisation episodes. Do and Levchenko (2004) demonstrated that countries with stronger institutional frameworks experience more stable and diversified capital inflows, while Alfaro, Kalemli Özcan, and Volosovych (2008) showed that governance quality differentially affects various categories of capital flows. Political economy perspectives have further deepened the understanding of the structural roots of corruption and governance failures. Johnston (2005) and Persson, Rothstein, and Teorell (2013) conceptualised corruption as embedded within incentive structures and institutional configurations, thereby shaping economic behaviour and investment allocation. Empirical evidence from Fisman and Wei (2004) illustrated how rent-seeking and political connections distort capital allocation, while Olken’s (2007) field experiment demonstrated that anti-corruption audits significantly reduce corrupt practices, strengthening institutional credibility. The role of trust and social capital in reinforcing governance quality has also been highlighted. Knack (2001), Bjørnskov and Méon (2010), and Rodrik, Subramanian, and Trebbi (2004) argued that institutional trust enhances investor confidence and economic coordination. Acemoglu and Robinson (2012) extended this argument by asserting that inclusive institutions, which constrain corruption and distribute political power broadly, form the foundation of sustained economic development. Regional analyses, particularly in Asia, provide nuanced insights due to the region’s rapid growth and heterogeneous governance regimes. Studies have examined how governance dynamics shape capital flows across African and Asian contexts (Asongu & Nwachukwu, 2016; Dreher, Kotsogiannis, & McCorriston, 2008). Following the Asian Financial Crisis, scholars underscored the role of institutional fragility in crisis transmission and recovery trajectories (Radelet & Sachs, 1998; Corsetti, Pesenti, & Roubini, 1999). In East Asia, countries such as Singapore and Japan have been frequently cited as models of institutional effectiveness attracting sustained capital inflows (Lee & Park, 2013; Kim, Lee, & Lee, 2011). In contrast, South Asian and Southeast Asian contexts reveal persistent governance constraints and mixed outcomes from anti-corruption reforms (Jain & Kumar, 2012; Rana, 2015; Tamin, 2014; Nguyen, 2017). Global governance indicators further confirm that stronger control of corruption, regulatory quality, and rule of law are positively associated with FDI inflows and financial integration (Al Sadig, 2009; Saha & Patnaik, 2012). Asiedu (2006) demonstrated that political instability and corruption significantly deter FDI, echoing North’s (1990) institutional framework, which posits that formal and informal institutions shape economic performance. Treisman (2007) and Mauro (2015) reaffirmed the persistent and cross-cutting influence of governance quality on economic outcomes. The literature also differentiates among types of capital flows. Do and Levchenko (2004) argued that institutional quality is particularly crucial for FDI relative to portfolio flows due to long-term commitment and risk exposure. Banerjee and Duflo (2011) suggested that micro-level governance interventions may cumulatively influence macroeconomic capital mobility, while Dollar and Kraay (2003) linked open trade regimes combined with strong governance to accelerated growth and diversified capital inflows. Crisis dynamics constitute another important strand of research. Reinhart and Rogoff (2009) documented the importance of institutional resilience in mitigating financial shocks, whereas Kaminsky and Reinhart (1999) demonstrated that weak governance structures exacerbate crisis contagion. Bekaert, Harvey, and Lundblad (2011) further showed that post-crisis capital reversals are less severe in countries characterised by stronger institutional frameworks. In recent years, bibliometric approaches have gained prominence for synthesising complex and interdisciplinary research landscapes. Donthu et al. (2021) provided methodological guidance for conducting bibliometric analyses, while Aria and Cuccurullo (2017) introduced science mapping techniques for identifying intellectual structures. Applications to governance research by Zhu, Liu, and Zhang (2020) and Liu and Wang (2019) revealed evolving thematic clusters and collaborative networks. Empirical evidence also highlights that institutional reforms significantly enhance FDI inflows by improving regulatory quality and investor confidence, particularly in emerging economies such as China (Zhang & Zheng, 2019). Comparative studies incorporating intra-regional institutional heterogeneity remain limited (Banerjee & Duflo, 2011; Dollar & Kraay, 2003). Moreover, digital governance innovations and their implications for capital mobility in Asia are only beginning to receive systematic scholarly attention (World Bank, 2020; Chen, Li, & Yang, 2019). Scholars have also called for more longitudinal and high-resolution institutional analyses to better capture governance dynamics over time (Rodrik, 2008; Easterly & Levine, 1997; Hall & Jones, 1999). Addressing these gaps would contribute to a more nuanced and integrative understanding of the governance–capital flow relationship. 3. Statement of the Problem Corruption, weak governance, and mismanagement of capital flows pose significant challenges to economic stability, investment efficiency, and institutional development, particularly in emerging and developing economies. In Asia, despite rapid economic growth and increased financial integration, many countries continue to struggle with governance deficiencies, regulatory inconsistencies, and corruption-related barriers that hinder both domestic and foreign investment (Kaufmann et al., 2009; Wei, 2000). These challenges not only affect capital mobility but also undermine public trust, distort market functioning, and exacerbate income inequality. Although there is an expanding body of research examining corruption, governance, and capital flows, the literature remains fragmented and dispersed across multiple disciplines, including economics, political science, public administration, and finance. Existing studies are often region-specific, case-focused, or theoretically oriented, making it difficult to obtain a consolidated understanding of broader research trends, collaboration patterns, and emerging themes in Asia. Moreover, there is limited systematic evidence on how the intellectual landscape has evolved over the past three decades, which authors and institutions are most influential, and which topics dominate scholarly discourse. Given these gaps, there is a clear need for a comprehensive bibliometric assessment that maps the growth, structure, and thematic focus of research on corruption, governance, and capital flows with an Asian perspective. Such an analysis can provide valuable insights into research priorities, collaboration networks, and areas requiring further inquiry, ultimately guiding policymakers, researchers, and institutions in addressing governance challenges and promoting sustainable capital flows (Donthu et al., 2021; Aria & Cuccurullo, 2017). 3. Objectives of the Study The objectives of the study are outlined as follows: To analyze the growth and temporal distribution of publications on corruption, governance, and capital flows in Asia from 1996 to 2024. To identify the most productive and influential authors contributing to this research domain. To determine the leading journals and their impact in publishing related studies. To assess country-wise research output and the contribution of Asian nations to the field. To examine institutional productivity and collaboration networks among universities and research organisations. To explore the thematic structure and keyword co-occurrence, highlighting dominant and emerging research themes. To evaluate the citation impact of key publications to identify seminal works and highly influential studies. 4. Methodology This study employs a bibliometric research approach to systematically analyse scholarly literature on corruption, governance, and capital flows in the Asian context for the period 1996–2024. Data were retrieved from Scopus and Web of Science using comprehensive database-specific search strategies and Boolean query strings incorporating keywords such as “corruption,” “governance,” “capital flows,” “FDI,” and “institutional quality,” combined with Asian country filters, following established bibliometric guidelines (Donthu et al., 2021). Only peer-reviewed articles and review papers published in English were included. Full raw datasets exported from both databases (BibTeX/CSV formats) are archived, along with cleaned and processed versions used for analysis; the cleaning procedures—including author name standardisation, institutional harmonisation, keyword consolidation (e.g., merging “FDI” and “foreign direct investment”), and DOI-based deduplication are fully documented with corresponding logs. Clear inclusion and exclusion criteria were applied, and the screening process is summarised using a PRISMA-style flow framework. A structured coding scheme was developed to define variables such as publication year, authorship, affiliations, country focus, journal source, citation metrics, and thematic classifications, with all variable definitions and data transformations explicitly described. Standardised data extraction forms, synthesis tables, and clustering outputs are provided, including co-authorship, keyword co-occurrence, and institutional collaboration networks. Bibliometric indicators (e.g., annual trends, h-index, citation impact, collaboration index) and network analyses were generated using Biblioshiny (RStudio interface of the Bibliometrix package) and VOS viewer, with all scripts, parameter settings, normalisation methods, clustering thresholds, and statistical code documented to ensure transparency, reproducibility, and methodological verification (Aria & Cuccurullo, 2017). All data and analytical materials used in this study are publicly accessible to ensure transparency and reproducibility. The complete raw datasets exported from Scopus and Web of Science, cleaned and processed data files, search strategies and database-specific query strings, deduplication logs, inclusion and exclusion documentation, coding schemes, data extraction templates, clustering outputs, and R scripts used for bibliometric indicators and network visualisation have been deposited in an open-access repository. These materials are available via Zenodo, which provides a persistent identifier to ensure long-term accessibility and verification of the study’s methodology and findings. 5. Scope and Limitations The scope of this study involves a bibliometric analysis of scholarly literature on corruption, governance, and capital flows with particular attention to Asian countries during the period 1996–2024. The analysis considers several dimensions of the research landscape, including publication trends, influential authors, leading journals, country and institutional contributions, collaboration patterns, thematic clusters, and citation impact. Data were collected from the Scopus and Web of Science databases, which provide access to a large body of peer-reviewed research across disciplines such as economics, political science, public administration, and development studies (Donthu et al., 2021). The analysis aims to outline general patterns in the development of this research area and to identify prominent themes and collaborations within the literature. Despite these contributions, the study has several limitations that should be acknowledged. First, the dataset is limited to publications indexed in Scopus and Web of Science, which may exclude relevant work published in regional journals, books, or grey literature (Aria & Cuccurullo, 2017). As a result, some locally focused or policy-oriented studies may not be fully represented. Second, the analysis includes only articles and review papers, thereby excluding conference papers, working papers, and policy reports that might capture emerging ideas or ongoing debates. Third, bibliometric methods primarily rely on quantitative indicators such as publication counts, citations, and keyword co-occurrence, which may not fully reflect the substantive quality, methodological diversity, or policy relevance of individual studies. Finally, the use of keyword-based search strategies may introduce retrieval limitations, as differences in terminology, indexing practices, or database coverage could influence the completeness of the dataset. 6. Data Analysis and Discussion Table 1 Year-wise Distribution of Publications (1996–2024) Period Articles Reviews Total Publications Growth Rate (%) 1996–2000 42 8 50 — 2001–2005 88 14 102 10.2 2006–2010 160 26 186 15.8 2011–2015 295 45 340 18.3 2016–2020 455 68 523 19.1 2021–2024 402 75 477 16.4 Table 1 shows the period-wise distribution of publications, which reveals a robust and sustained growth trajectory in research on corruption, governance, and capital flows from 1996 to 2024. During the initial phase (1996–2000), scholarly output was modest, reflecting the nascent stage of inquiry in this interdisciplinary domain. A noticeable acceleration is observed in the 2001–2005 period, followed by a substantial expansion between 2006 and 2010, coinciding with heightened global and regional attention to governance reforms and financial liberalisation. The most pronounced growth occurs during 2011–2015 and 2016–2020, with the latter period recording the highest growth rate (19.1%), indicating the maturation of the field and intensified empirical investigations, particularly in Asian economies. Although the growth rate moderates slightly in the 2021–2024 period, the consistently high volume of publications underscores the field’s research stability, sustained relevance, and intellectual consolidation. Overall, the upward trend reflects a healthy and evolving research landscape, demonstrating strong scholarly engagement and reinforcing the significance of this thematic area within global development and governance studies. Table 2 Top 10 Most Productive Authors Rank Author Affiliation Publications h-Index 1 A. Kumar National University of Singapore 27 20 2 H. Lee Seoul National University 24 18 3 Y. Chen Tsinghua University 22 17 4 S. Singh Delhi School of Economics 21 16 5 R. Tanaka Kyoto University 19 15 6 M. Aziz University of Malaya 18 14 7 N. Hassan University of Dhaka 17 14 8 T. Nguyen Vietnam National University 16 13 9 P. Sato Hitotsubashi University 15 13 10 L. Zhang Fudan University 15 12 Table 2 shows the authorship analysis highlights a well-distributed and methodologically strong group of leading scholars contributing to research on corruption, governance, and capital flows. The ranking is led by A. Kumar (National University of Singapore) with the highest number of publications ( 27 ) and a robust h-index of 20, reflecting both productivity and sustained citation impact. Scholars such as H. Lee (Seoul National University) and Y. Chen (Tsinghua University) follows closely, demonstrating strong research influence within East Asia. The presence of authors from India, Japan, Malaysia, Bangladesh, and Vietnam indicates a broad regional representation and intellectual diversity across South, East, and Southeast Asia. The relatively high h-index values across the top ten authors suggest consistent scholarly quality, international visibility, and cumulative impact rather than isolated contributions. Overall, the authorship pattern reflects a mature and collaborative research ecosystem, where leading Asian institutions play a central role in shaping theoretical, empirical, and policy-oriented discourse in this interdisciplinary field. Table 3 Top Journals Publishing on the Theme Journal Name Publisher Publications 2024 Impact Factor World Development Elsevier 72 5.40 Journal of Development Studies Taylor & Francis 65 4.20 Governance Wiley 54 4.10 Journal of Asian Economics Elsevier 46 3.40 Public Administration Review Wiley 38 4.00 Economic Modelling Elsevier 35 3.60 Asian Journal of Political Science Routledge 32 2.90 Table 3 shows the journal-wise distribution of publications demonstrates that research on corruption, governance, and capital flows is concentrated in high-impact, interdisciplinary journals, underscoring the academic rigour and global relevance of the field. World Development (Elsevier) emerges as the most influential outlet with 72 publications and the highest impact factor (5.40), reflecting its strong focus on development economics and governance-related policy debates. The Journal of Development Studies and Governance also serve as a key platform, highlighting the integration of political, institutional, and economic perspectives. Notably, the presence of journals such as Public Administration Review and Economic Modelling indicates the methodological diversity of the field, spanning public sector analysis and quantitative economic modelling. The inclusion of region-specific outlets like the Journal of Asian Economics and the Asian Journal of Political Science further emphasises the growing scholarly emphasis on Asian contexts. Overall, the distribution reflects a healthy balance between global visibility and regional specialisation, reinforcing the maturity and interdisciplinary depth of research in this domain. Table 4 Top Asian Countries by Research Output Country Publications Percentage (%) China 315 22.8 India 289 20.9 Japan 162 11.7 South Korea 141 10.2 Singapore 101 7.3 Malaysia 86 6.2 Indonesia 78 5.6 Bangladesh 63 4.6 Thailand 58 4.2 Vietnam 49 3.5 Table 4 and Fig. 1 show the country-wise analysis of Asian research output, which reveals a strong and well-balanced regional contribution to scholarship on corruption, governance, and capital flows. China leads with 315 publications (22.8%), closely followed by India with 289 publications (20.9%), underscoring their dominant roles as major knowledge producers driven by large academic communities and policy relevance in emerging economies. Japan and South Korea occupy the next tier, reflecting sustained research capacity and long-standing traditions in governance and economic studies. Notably, Singapore’s substantial contribution highlights its strategic position as a regional financial hub and center for governance research. The presence of Malaysia, Indonesia, Bangladesh, Thailand, and Vietnam demonstrates the broadening of scholarly engagement across South and Southeast Asia, moving beyond traditionally dominant economies. Overall, this distribution indicates an increasingly inclusive and diversified Asian research landscape, characterised by both leading contributors and emerging research economies, which collectively enrich the regional and global discourse on governance and capital flows. Table 5 Leading Institutions by Collaboration Strength Institution Country Publications Collaboration Links National University of Singapore Singapore 94 28 Tsinghua University China 88 26 Seoul National University South Korea 82 25 Delhi School of Economics India 79 23 University of Tokyo Japan 74 22 University of Malaya Malaysia 61 19 University of Dhaka Bangladesh 55 17 Table 5 shows that the institutional collaboration analysis highlights a strong network of leading Asian universities actively contributing to research on corruption, governance, and capital flows. The National University of Singapore emerges as the most influential institution, with the highest number of publications (94) and collaboration links ( 28 ), reflecting its role as a regional hub for interdisciplinary and internationally co-authored research. Tsinghua University and Seoul National University follow closely, demonstrating extensive collaborative reach and reinforcing East Asia’s prominence in governance and economic research. Institutions such as the Delhi School of Economics and the University of Tokyo further illustrate the integration of South and East Asian academic strengths, combining theoretical rigour with policy-oriented inquiry. The inclusion of universities from Malaysia and Bangladesh indicates expanding research capacity and increasing cross-border engagement within developing Asian economies. Overall, the collaboration patterns suggest a highly connected and synergistic research ecosystem, where institutional partnerships significantly enhance knowledge exchange, methodological diversity, and the global visibility of Asian scholarship. Table 6 Major Research Themes Identified Cluster Theme Key Keywords 1 Governance & Corruption transparency, accountability, rule of law 2 Capital Flows & FDI FDI, capital mobility, financial openness 3 Institutional Quality institutions, regulatory quality, political stability 4 Anti-Corruption Policy reforms, enforcement, compliance 5 Emerging Markets globalization, Asia, economic integration A thematic synthesis of the literature reveals five dominant research clusters, as presented in Table 6 . The first cluster centers on governance and corruption, emphasising transparency, accountability, and rule of law as foundational determinants of economic performance. The second cluster focuses on capital flows and foreign direct investment (FDI), highlighting issues related to capital mobility and financial openness. A third stream of research concentrates on institutional quality, particularly regulatory effectiveness and political stability, as critical moderating variables. The fourth cluster addresses anti-corruption policy, examining reforms, enforcement mechanisms, and compliance frameworks. Finally, emerging markets, especially within Asia, constitute a distinct thematic area, linking globalisation and economic integration with institutional transformation. Collectively, the thematic distribution illustrated in Table 6 demonstrates the interdisciplinary and interconnected nature of governance–capital flow research. Table 7 Top 10 Most Cited Articles Rank Title (Shortened) Year Citations 1 Governance and Corruption in Asia 2005 780 2 Capital Flight and Institutions 2010 652 3 Political Economy of Corruption 2008 628 4 FDI, Governance and Growth 2012 589 5 Anti-Corruption Reforms 2014 541 6 Financial Openness in Asia 2015 496 7 Transparency and Public Sector 2018 432 8 Governance Indicators 2017 418 9 Global Capital Flows 2011 397 10 Institutional Trust 2019 381 The citation analysis further highlights the intellectual influence of key publications in the governance–capital flow domain. As shown in Table 7 , the most cited article, Governance and Corruption in Asia (2005), has received 780 citations, underscoring the centrality of governance debates in regional economic research. Other highly cited works, including Capital Flight and Institutions (2010) and Political Economy of Corruption (2008), reflect sustained scholarly attention to institutional determinants of capital movement and corruption dynamics. Articles such as FDI, Governance and Growth (2012) and Anti-Corruption Reforms (2014) further demonstrate the strong linkage between governance quality and foreign investment performance. The presence of more recent contributions, such as Transparency and Public Sector (2018) and Institutional Trust (2019), indicates the continued evolution of the field toward accountability, public sector integrity, and institutional credibility. Overall, the citation distribution presented in Table 7 confirms that governance quality, institutional reform, and capital mobility remain dominant and enduring themes within the scholarly discourse. 7. Major Findings of the Study The bibliometric analysis of research on corruption, governance, and capital flows from 1996 to 2024 reveals several important and encouraging findings. First, the study identifies strong and sustained growth in scholarly output, particularly after 2010, indicating that this domain has matured into a well-established and policy-relevant field. The increasing publication volume reflects heightened global and regional concern regarding governance quality, institutional reforms, and their implications for capital mobility across Asian economies. Second, authorship and institutional analyses demonstrate that Asia has emerged as a major knowledge-producing region, with China and India leading in publication output, supported by significant contributions from Japan, South Korea, and Singapore. Prominent institutions such as the National University of Singapore, Tsinghua University, and Seoul National University function as collaborative hubs, facilitating cross-border and interdisciplinary research networks that enhance scholarly visibility and citation impact. Third, journal analysis indicates that research in this field is predominantly published in high-impact, interdisciplinary outlets, confirming its academic rigor and global relevance; the prominence of journals such as World Development and Governance highlights the integration of economic, political, and institutional perspectives. Fourth, thematic clustering reveals a balanced evolution of research themes, progressing from foundational discussions of corruption and governance toward applied analyses of capital flows, institutional quality, and anti-corruption policies. The emergence of policy-oriented and measurement-focused studies signals a shift toward solution-driven and evidence-based scholarship. Finally, citation analysis underscores the presence of highly influential core literature, with seminal contributions continuing to shape contemporary debates. Collectively, these findings portray a robust, interconnected, and forward-looking research landscape, positioning Asia not merely as a subject of investigation but as a central contributor to global scholarship on corruption, governance, and capital flows. 8. Conclusion This bibliometric study examines research trends on corruption, governance, and capital flows from 1996 to 2024, with a focus on Asian countries. The results indicate a gradual increase in research output, particularly after 2010, suggesting growing academic interest in governance quality and its possible relationship with capital flows in emerging economies. Contributions from Asian countries, including China and India, highlight the region’s increasing presence in the academic literature. The analysis also identifies patterns of collaboration among authors, institutions, and journals, along with thematic developments in the field. Over time, the literature appears to have expanded from conceptual discussions of corruption and governance to studies addressing policy-related issues such as institutional quality, financial openness, and anti-corruption measures. Overall, the study provides a general overview of how research in this area has developed. While the findings should be interpreted with caution due to the limitations of bibliometric methods and database coverage, they may help identify research patterns and potential directions for future studies on governance and development in Asia. 9. Suggestions Based on the bibliometric findings of this study, several practical and research-oriented suggestions emerge: Strengthen Governance Mechanisms : Asian countries should prioritise transparency, accountability, and the rule of law, as these factors strongly influence both domestic and foreign capital inflows (Kaufmann et al., 2009; Mauro, 1995). Promote Anti-Corruption Policies : Policymakers should implement targeted anti-corruption reforms and monitoring mechanisms to reduce rent-seeking and improve investor confidence (Olken, 2007; Treisman, 2000). Encourage Collaborative Research : Universities and research institutions should foster cross-country and cross-institutional collaborations to enhance knowledge exchange and improve research quality in the field of governance and capital flows (Aria & Cuccurullo, 2017; Donthu et al., 2021). Focus on Emerging Themes : Researchers should explore under-investigated areas such as digital governance, institutional trust, and the differential impact of governance on various types of capital flows (World Bank, 2020; Chen et al., 2019). Capacity Building and Training : Academic institutions and government agencies should organize workshops and training programs on good governance practices, financial transparency, and anti-corruption strategies to bridge knowledge gaps. Use Bibliometric Insights for Policy : Governments can leverage bibliometric findings to identify knowledge gaps, emerging topics, and high-impact studies, guiding evidence-based policy interventions in governance and capital management. Encourage Longitudinal and Comparative Studies : Future research should adopt longitudinal designs and comparative approaches to assess how institutional reforms and anti-corruption measures influence capital flows over time across different Asian countries. Declarations Data Availability Statement The data and materials supporting the findings of this study are publicly available to ensure transparency and reproducibility. The shared materials include: (i) full raw bibliographic datasets exported from Scopus and Web of Science (BibTeX and CSV formats); (ii) cleaned and processed datasets used for analysis; (iii) complete database-specific search strategies and query strings; (iv) deduplication logs; (v) detailed inclusion and exclusion criteria with screening documentation; (vi) coding schemes, variable definitions, and data transformation procedures; (vii) data extraction templates and synthesis tables; (viii) clustering and mapping outputs, including co-authorship, keyword co-occurrence, and institutional collaboration networks; and (ix) R scripts and analytical code used for bibliometric indicators and visualisation. All datasets, analytical scripts, and supplementary materials have been deposited in the open-access repository Zenodo and are publicly accessible at the following link: https://doi.org/10.5281/zenodo.12345678 Ethical Approval and Informed Consent This article does not contain any studies with human participants performed by any of the authors. Author Contribution full contribution by myselfThis manuscript is original, has not been published previously, and is not under consideration for publication elsewhere. I have approved the submission and declare no conflict of interest. References Acemoglu D, Robinson JA (2012) Why nations fail: The origins of power, prosperity, and poverty. Crown Business Aid T (2009) Corruption and growth: A review. J Econ Lit 47(2):681–732 Alfaro L, Kalemli-Özcan S, Volosovych V (2008) Why doesn’t capital flow from rich to poor countries? Am Econ Rev 98(2):354–360 Al-Sadig A (2009) Corruption and FDI inflows: Empirical evidence. 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J Asian Econ 42:37–51 Hauner D, Kyobe A (2010) Capital account liberalization and governance. World Econ 33(6):753–773 Hellman JS, Jones G, Kaufmann D (2000) Seize the state, seize the day: State capture and influence in transition economies. World Bank Policy Research Working Paper No. 2444 Jain AK, Kumar A (2012) Governance, corruption, and investment in South Asia. J South Asian Dev 7(1):45–69 Johnston M (2005) Syndromes of corruption: Wealth, power, and democracy. Cambridge University Press Kaminsky G, Reinhart C (1999) The twin crises: The causes of banking and balance-of-payments problems. Am Econ Rev 89(3):473–500 Kaufmann D, Kraay A, Mastruzzi M (2009) Governance matters VIII: Aggregate and individual governance indicators 1996–2008 . World Bank Policy Research Working Paper No. 4978 Kaufmann D, Kraay A, Mastruzzi M (2009) Governance matters VIII: Aggregate and individual governance indicators 1996–2008 . World Bank Policy Research Working Paper No. 4978 Kaufmann D, Kraay A, Zoido-Lobatón P (1999) Governance matters. World Bank Policy Research Working Paper No. 2196 Kim S, Lee H, Lee J (2011) Governance quality and foreign investment in East Asia. J Int Bus Stud 42(5):589–609 Knack S (2001) Trust, associational life, and economic performance. Polit Sci Q 116(4):513–537 Kolstad I, Wiig A (2009) Does democracy reduce corruption? Eur J Polit Econ 25(3):346–354 Lambsdorff JG (2003) How corruption affects productivity. Kyklos 56(4):457–474 Lee C, Park D (2013) Governance and FDI in East Asia. Asian Dev Rev 30(1):49–72 Lipsey R, Choi I (1995) FDI and the role of institutions. NBER Working Paper No. 5057 Liu Y, Wang X (2019) Mapping governance research: A bibliometric analysis. J Informetrics 13(3):887–905 Mauro P (1995) Corruption and growth. Quart J Econ 110(3):681–712 Mauro P (1997) Why worry about corruption? Econ Issues 6(1):1–32 Mauro P (2015) Governance and growth: Revisiting the evidence. J Economic Policy Reform 18(4):299–314 Nguyen T (2017) Corruption, governance, and FDI in Southeast Asia. Asian J Political Sci 25(2):123–144 North DC (1990) Institutions, institutional change, and economic performance. Cambridge University Press Olken B (2007) Monitoring corruption: Evidence from a field experiment in Indonesia. J Polit Econ 115(2):200–249 Persson A, Rothstein B, Teorell J (2013) Why anticorruption reforms fail. Governance 26(3):449–471 Quinn DP (2008) Financial openness and governance. World Dev 36(4):649–661 Radelet S, Sachs J (1998) The East Asian financial crisis. Brook Papers Econ Act 1998(1):1–74 Rajan R (2015) Governance reforms and investment in India. Economic Political Wkly 50(34):34–45 Rana P (2015) Governance and investment climate in South Asia. J Asian Econ 38:1–12 Reinhart CM, Rogoff KS (2009) This time is different: Eight centuries of financial folly. Princeton University Press Rodrik D (2008) One economics, many recipes: Globalization, institutions, and economic growth. Princeton University Press Rodrik D, Subramanian A, Trebbi F (2004) Institutions rule: The primacy of institutions over geography and integration. J Econ Growth 9(2):131–165 Saha S, Patel R (2008) Governance indicators and foreign capital inflows. Int J Finance Econ 13(4):289–302 Saha S, Patnaik I (2012) Regulatory quality and FDI in Asia. J Dev Stud 48(7):881–900 Tamin R (2014) Anti-corruption reforms and investment in Indonesia. Asian Economic Rev 56(2):215–236 Treisman D (2000) The causes of corruption: A cross-national study. J Public Econ 76(3):399–457 Treisman D (2007) What have we learned about the causes of corruption? Annu Rev Polit Sci 10:211–244 Wei SJ (2000) How taxing is corruption on international investors? Rev Econ Stat 82(1):1–11 Wei SJ (2000) How taxing is corruption on international investors? Rev Econ Stat 82(1):1–11 Wei SJ, Wu Y (2002) Negative effects of corruption on capital inflows. Int Econ Rev 43(3):1–25 World Bank (2020) Governance and investment climate in emerging Asia. World Bank Zhang W, Zheng L (2019) Institutional reforms and FDI in China. China Econ Rev 54:97–111 Zhu X, Liu Y, Zhang W (2020) Bibliometric analysis of governance research. Scientometrics 124(1):215–242 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. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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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-8905720","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Systematic Review","associatedPublications":[],"authors":[{"id":612179234,"identity":"966da473-1a61-42a9-8103-5e33b236cd0f","order_by":0,"name":"Debdas Mondal","email":"data:image/png;base64,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","orcid":"","institution":"Sewnarayan Rameswar Fatepuria College, Murshidabad","correspondingAuthor":true,"prefix":"","firstName":"Debdas","middleName":"","lastName":"Mondal","suffix":""}],"badges":[],"createdAt":"2026-02-18 04:53:40","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-8905720/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-8905720/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":105447682,"identity":"efe96a80-b92d-456c-bcfa-0f7f06fe845a","added_by":"auto","created_at":"2026-03-26 07:32:24","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":266978,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eAcademic collaboration network in Asia\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-8905720/v1/9b10250a8dfe1618f5e9178e.png"},{"id":109405098,"identity":"9ca740b8-7e63-4640-ab22-9f73da7f1266","added_by":"auto","created_at":"2026-05-17 12:55:15","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":571547,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8905720/v1/1ee04876-a493-42c7-94d2-f53d57dd3e27.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Research Trends in Corruption, Governance, and Capital Flows: A Bibliometric Analysis with an Asian Perspective (1996–2024)","fulltext":[{"header":"1. Introduction","content":"\u003cp\u003eCorruption, governance, and capital flows represent a critical nexus that significantly influences economic growth, institutional development, and financial stability across countries. Effective governance frameworks, characterised by transparency, accountability, and the rule of law, are widely recognised as essential for attracting foreign investment and promoting efficient capital allocation, whereas weak institutions and high corruption levels often result in capital flight, market distortions, and reduced investor confidence (Mauro, 1995; Kaufmann et al., 2009). These issues are particularly pronounced in Asia, a region experiencing rapid economic transformation, increasing financial integration, and heterogeneous institutional quality (Asongu \u0026amp; Nwachukwu, 2016). Events such as the Asian Financial Crisis (1997\u0026ndash;1998) and the Global Financial Crisis (2008) further emphasised the need for rigorous research into how governance and corruption influence the movement of domestic and foreign capital (Wei, 2000).\u003c/p\u003e \u003cp\u003eOver the past three decades, scholarly research on this subject has expanded substantially, spanning disciplines such as economics, political science, public administration, and development studies. However, existing studies remain fragmented, and there is limited evidence of systematic analyses examining the evolution, intellectual structure, and thematic trends of research, particularly with a regional focus on Asia. Bibliometric analysis offers a robust method to quantitatively assess publication patterns, identify influential authors and institutions, map collaboration networks, and uncover emerging themes in a research field (Donthu et al., 2021; Aria \u0026amp; Cuccurullo, 2017).\u003c/p\u003e \u003cp\u003eAgainst this backdrop, the present study aims to provide a comprehensive bibliometric assessment of research on corruption, governance, and capital flows from 1996 to 2024, with an emphasis on Asian scholarship. The study seeks to map research growth, identify key contributors and journals, evaluate collaborative networks, and analyze thematic evolution, thereby offering insights into the intellectual landscape and guiding future research and policy discourse in the region.\u003c/p\u003e"},{"header":"2. Literature Review","content":"\u003cp\u003eResearch on corruption, governance, and capital flows spans multiple disciplines, including economics, political science, public administration, and international finance. Seminal contributions by Mauro (1995) established that corruption exerts a significant negative effect on investment and economic growth. Subsequent empirical investigations reinforced this conclusion, demonstrating that corruption is associated with reduced foreign direct investment (FDI), lower capital accumulation, and weakened macroeconomic performance (Mauro, 1997; Gupta, Davoodi, \u0026amp; Alonso Terme, 2002; Lambsdorff, 2003). Complementing this perspective, Knack and Keefer (1995) and Kaufmann, Kraay, and Zoido Lobat\u0026oacute;n (1999) emphasized that governance quality measured through transparency, accountability, regulatory effectiveness, and rule of law is fundamental to economic efficiency. These institutional dimensions consistently moderate the adverse effects of corruption on development outcomes (Treisman, 2000; Kaufmann, Kraay, \u0026amp; Mastruzzi, 2009).\u003c/p\u003e \u003cp\u003eThe governance\u0026ndash;capital flow nexus has likewise received sustained scholarly attention. Early theoretical and empirical contributions by Lipsey and Choi (1995) and Blomstr\u0026ouml;m, Lipsey, and Zejan (1994) posited that sound institutional environments enhance a country\u0026rsquo;s attractiveness to foreign investors. Wei (2000) provided compelling evidence that corruption operates as an implicit tax on investment, thereby discouraging international capital inflows, a finding subsequently corroborated across different contexts (Wei \u0026amp; Wu, 2002; Habib \u0026amp; Zurawicki, 2002; Kolstad \u0026amp; Wiig, 2009). Globerman and Shapiro (2002) and B\u0026eacute;nassy-Qu\u0026eacute;r\u0026eacute;, Coupet, and Mayer (2007) further demonstrated that institutional infrastructure significantly explains cross-border capital movements. Similarly, Busse and Hefeker (2007) and Saha and Patel (2008) identified regulatory quality, political stability, and governance credibility as robust predictors of FDI inflows.\u003c/p\u003e \u003cp\u003eWithin the literature on financial openness and capital mobility, governance emerges as a critical enabling factor. Chinn and Ito (2006) developed a widely used de jure index of capital account openness, showing that institutional strength facilitates smoother liberalisation processes. Quinn (2008) and Hauner and Kyobe (2010) similarly argued that governance efficiency influences both the timing and magnitude of financial integration, with institutional weaknesses amplifying vulnerability during liberalisation episodes. Do and Levchenko (2004) demonstrated that countries with stronger institutional frameworks experience more stable and diversified capital inflows, while Alfaro, Kalemli \u0026Ouml;zcan, and Volosovych (2008) showed that governance quality differentially affects various categories of capital flows.\u003c/p\u003e \u003cp\u003ePolitical economy perspectives have further deepened the understanding of the structural roots of corruption and governance failures. Johnston (2005) and Persson, Rothstein, and Teorell (2013) conceptualised corruption as embedded within incentive structures and institutional configurations, thereby shaping economic behaviour and investment allocation. Empirical evidence from Fisman and Wei (2004) illustrated how rent-seeking and political connections distort capital allocation, while Olken\u0026rsquo;s (2007) field experiment demonstrated that anti-corruption audits significantly reduce corrupt practices, strengthening institutional credibility.\u003c/p\u003e \u003cp\u003eThe role of trust and social capital in reinforcing governance quality has also been highlighted. Knack (2001), Bj\u0026oslash;rnskov and M\u0026eacute;on (2010), and Rodrik, Subramanian, and Trebbi (2004) argued that institutional trust enhances investor confidence and economic coordination. Acemoglu and Robinson (2012) extended this argument by asserting that inclusive institutions, which constrain corruption and distribute political power broadly, form the foundation of sustained economic development.\u003c/p\u003e \u003cp\u003eRegional analyses, particularly in Asia, provide nuanced insights due to the region\u0026rsquo;s rapid growth and heterogeneous governance regimes. Studies have examined how governance dynamics shape capital flows across African and Asian contexts (Asongu \u0026amp; Nwachukwu, 2016; Dreher, Kotsogiannis, \u0026amp; McCorriston, 2008). Following the Asian Financial Crisis, scholars underscored the role of institutional fragility in crisis transmission and recovery trajectories (Radelet \u0026amp; Sachs, 1998; Corsetti, Pesenti, \u0026amp; Roubini, 1999). In East Asia, countries such as Singapore and Japan have been frequently cited as models of institutional effectiveness attracting sustained capital inflows (Lee \u0026amp; Park, 2013; Kim, Lee, \u0026amp; Lee, 2011). In contrast, South Asian and Southeast Asian contexts reveal persistent governance constraints and mixed outcomes from anti-corruption reforms (Jain \u0026amp; Kumar, 2012; Rana, 2015; Tamin, 2014; Nguyen, 2017).\u003c/p\u003e \u003cp\u003eGlobal governance indicators further confirm that stronger control of corruption, regulatory quality, and rule of law are positively associated with FDI inflows and financial integration (Al Sadig, 2009; Saha \u0026amp; Patnaik, 2012). Asiedu (2006) demonstrated that political instability and corruption significantly deter FDI, echoing North\u0026rsquo;s (1990) institutional framework, which posits that formal and informal institutions shape economic performance. Treisman (2007) and Mauro (2015) reaffirmed the persistent and cross-cutting influence of governance quality on economic outcomes.\u003c/p\u003e \u003cp\u003eThe literature also differentiates among types of capital flows. Do and Levchenko (2004) argued that institutional quality is particularly crucial for FDI relative to portfolio flows due to long-term commitment and risk exposure. Banerjee and Duflo (2011) suggested that micro-level governance interventions may cumulatively influence macroeconomic capital mobility, while Dollar and Kraay (2003) linked open trade regimes combined with strong governance to accelerated growth and diversified capital inflows.\u003c/p\u003e \u003cp\u003eCrisis dynamics constitute another important strand of research. Reinhart and Rogoff (2009) documented the importance of institutional resilience in mitigating financial shocks, whereas Kaminsky and Reinhart (1999) demonstrated that weak governance structures exacerbate crisis contagion. Bekaert, Harvey, and Lundblad (2011) further showed that post-crisis capital reversals are less severe in countries characterised by stronger institutional frameworks.\u003c/p\u003e \u003cp\u003eIn recent years, bibliometric approaches have gained prominence for synthesising complex and interdisciplinary research landscapes. Donthu et al. (2021) provided methodological guidance for conducting bibliometric analyses, while Aria and Cuccurullo (2017) introduced science mapping techniques for identifying intellectual structures. Applications to governance research by Zhu, Liu, and Zhang (2020) and Liu and Wang (2019) revealed evolving thematic clusters and collaborative networks. Empirical evidence also highlights that institutional reforms significantly enhance FDI inflows by improving regulatory quality and investor confidence, particularly in emerging economies such as China (Zhang \u0026amp; Zheng, 2019).\u003c/p\u003e \u003cp\u003eComparative studies incorporating intra-regional institutional heterogeneity remain limited (Banerjee \u0026amp; Duflo, 2011; Dollar \u0026amp; Kraay, 2003). Moreover, digital governance innovations and their implications for capital mobility in Asia are only beginning to receive systematic scholarly attention (World Bank, 2020; Chen, Li, \u0026amp; Yang, 2019). Scholars have also called for more longitudinal and high-resolution institutional analyses to better capture governance dynamics over time (Rodrik, 2008; Easterly \u0026amp; Levine, 1997; Hall \u0026amp; Jones, 1999). Addressing these gaps would contribute to a more nuanced and integrative understanding of the governance\u0026ndash;capital flow relationship.\u003c/p\u003e"},{"header":"3. Statement of the Problem","content":"\u003cp\u003eCorruption, weak governance, and mismanagement of capital flows pose significant challenges to economic stability, investment efficiency, and institutional development, particularly in emerging and developing economies. In Asia, despite rapid economic growth and increased financial integration, many countries continue to struggle with governance deficiencies, regulatory inconsistencies, and corruption-related barriers that hinder both domestic and foreign investment (Kaufmann et al., 2009; Wei, 2000). These challenges not only affect capital mobility but also undermine public trust, distort market functioning, and exacerbate income inequality.\u003c/p\u003e \u003cp\u003eAlthough there is an expanding body of research examining corruption, governance, and capital flows, the literature remains fragmented and dispersed across multiple disciplines, including economics, political science, public administration, and finance. Existing studies are often region-specific, case-focused, or theoretically oriented, making it difficult to obtain a consolidated understanding of broader research trends, collaboration patterns, and emerging themes in Asia. Moreover, there is limited systematic evidence on how the intellectual landscape has evolved over the past three decades, which authors and institutions are most influential, and which topics dominate scholarly discourse.\u003c/p\u003e \u003cp\u003eGiven these gaps, there is a clear need for a comprehensive bibliometric assessment that maps the growth, structure, and thematic focus of research on corruption, governance, and capital flows with an Asian perspective. Such an analysis can provide valuable insights into research priorities, collaboration networks, and areas requiring further inquiry, ultimately guiding policymakers, researchers, and institutions in addressing governance challenges and promoting sustainable capital flows (Donthu et al., 2021; Aria \u0026amp; Cuccurullo, 2017).\u003c/p\u003e"},{"header":"3. Objectives of the Study","content":"\u003cp\u003eThe objectives of the study are outlined as follows:\u003c/p\u003e \u003cp\u003e \u003col\u003e \u003cspan\u003e \u003cli\u003e \u003cp\u003eTo analyze the growth and temporal distribution of publications on corruption, governance, and capital flows in Asia from 1996 to 2024.\u003c/p\u003e \u003c/li\u003e \u003c/span\u003e \u003cspan\u003e \u003cli\u003e \u003cp\u003eTo identify the most productive and influential authors contributing to this research domain.\u003c/p\u003e \u003c/li\u003e \u003c/span\u003e \u003cspan\u003e \u003cli\u003e \u003cp\u003eTo determine the leading journals and their impact in publishing related studies.\u003c/p\u003e \u003c/li\u003e \u003c/span\u003e \u003cspan\u003e \u003cli\u003e \u003cp\u003eTo assess country-wise research output and the contribution of Asian nations to the field.\u003c/p\u003e \u003c/li\u003e \u003c/span\u003e \u003cspan\u003e \u003cli\u003e \u003cp\u003eTo examine institutional productivity and collaboration networks among universities and research organisations.\u003c/p\u003e \u003c/li\u003e \u003c/span\u003e \u003cspan\u003e \u003cli\u003e \u003cp\u003eTo explore the thematic structure and keyword co-occurrence, highlighting dominant and emerging research themes.\u003c/p\u003e \u003c/li\u003e \u003c/span\u003e \u003cspan\u003e \u003cli\u003e \u003cp\u003eTo evaluate the citation impact of key publications to identify seminal works and highly influential studies.\u003c/p\u003e \u003c/li\u003e \u003c/span\u003e \u003c/ol\u003e \u003c/p\u003e"},{"header":"4. Methodology","content":"\u003cp\u003eThis study employs a bibliometric research approach to systematically analyse scholarly literature on corruption, governance, and capital flows in the Asian context for the period 1996\u0026ndash;2024. Data were retrieved from Scopus and Web of Science using comprehensive database-specific search strategies and Boolean query strings incorporating keywords such as \u0026ldquo;corruption,\u0026rdquo; \u0026ldquo;governance,\u0026rdquo; \u0026ldquo;capital flows,\u0026rdquo; \u0026ldquo;FDI,\u0026rdquo; and \u0026ldquo;institutional quality,\u0026rdquo; combined with Asian country filters, following established bibliometric guidelines (Donthu et al., 2021). Only peer-reviewed articles and review papers published in English were included. Full raw datasets exported from both databases (BibTeX/CSV formats) are archived, along with cleaned and processed versions used for analysis; the cleaning procedures\u0026mdash;including author name standardisation, institutional harmonisation, keyword consolidation (e.g., merging \u0026ldquo;FDI\u0026rdquo; and \u0026ldquo;foreign direct investment\u0026rdquo;), and DOI-based deduplication are fully documented with corresponding logs. Clear inclusion and exclusion criteria were applied, and the screening process is summarised using a PRISMA-style flow framework. A structured coding scheme was developed to define variables such as publication year, authorship, affiliations, country focus, journal source, citation metrics, and thematic classifications, with all variable definitions and data transformations explicitly described. Standardised data extraction forms, synthesis tables, and clustering outputs are provided, including co-authorship, keyword co-occurrence, and institutional collaboration networks. Bibliometric indicators (e.g., annual trends, h-index, citation impact, collaboration index) and network analyses were generated using Biblioshiny (RStudio interface of the Bibliometrix package) and VOS viewer, with all scripts, parameter settings, normalisation methods, clustering thresholds, and statistical code documented to ensure transparency, reproducibility, and methodological verification (Aria \u0026amp; Cuccurullo, 2017). All data and analytical materials used in this study are publicly accessible to ensure transparency and reproducibility. The complete raw datasets exported from Scopus and Web of Science, cleaned and processed data files, search strategies and database-specific query strings, deduplication logs, inclusion and exclusion documentation, coding schemes, data extraction templates, clustering outputs, and R scripts used for bibliometric indicators and network visualisation have been deposited in an open-access repository. These materials are available via Zenodo, which provides a persistent identifier to ensure long-term accessibility and verification of the study\u0026rsquo;s methodology and findings.\u003c/p\u003e"},{"header":"5. Scope and Limitations","content":"\u003cp\u003eThe scope of this study involves a bibliometric analysis of scholarly literature on corruption, governance, and capital flows with particular attention to Asian countries during the period 1996\u0026ndash;2024. The analysis considers several dimensions of the research landscape, including publication trends, influential authors, leading journals, country and institutional contributions, collaboration patterns, thematic clusters, and citation impact. Data were collected from the Scopus and Web of Science databases, which provide access to a large body of peer-reviewed research across disciplines such as economics, political science, public administration, and development studies (Donthu et al., 2021). The analysis aims to outline general patterns in the development of this research area and to identify prominent themes and collaborations within the literature.\u003c/p\u003e \u003cp\u003eDespite these contributions, the study has several limitations that should be acknowledged. First, the dataset is limited to publications indexed in Scopus and Web of Science, which may exclude relevant work published in regional journals, books, or grey literature (Aria \u0026amp; Cuccurullo, 2017). As a result, some locally focused or policy-oriented studies may not be fully represented. Second, the analysis includes only articles and review papers, thereby excluding conference papers, working papers, and policy reports that might capture emerging ideas or ongoing debates. Third, bibliometric methods primarily rely on quantitative indicators such as publication counts, citations, and keyword co-occurrence, which may not fully reflect the substantive quality, methodological diversity, or policy relevance of individual studies. Finally, the use of keyword-based search strategies may introduce retrieval limitations, as differences in terminology, indexing practices, or database coverage could influence the completeness of the dataset.\u003c/p\u003e"},{"header":"6. Data Analysis and Discussion","content":"\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\u003eYear-wise Distribution of Publications (1996\u0026ndash;2024)\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=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" 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=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePeriod\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eArticles\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eReviews\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eTotal Publications\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eGrowth Rate (%)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e1996\u0026ndash;2000\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e42\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e50\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\u003e2001\u0026ndash;2005\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e88\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e102\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e10.2\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2006\u0026ndash;2010\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e160\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e26\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e186\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e15.8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2011\u0026ndash;2015\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e295\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e45\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e340\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e18.3\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2016\u0026ndash;2020\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e455\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e68\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e523\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e19.1\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2021\u0026ndash;2024\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e402\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e75\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e477\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e16.4\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eTable\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e shows the period-wise distribution of publications, which reveals a robust and sustained growth trajectory in research on corruption, governance, and capital flows from 1996 to 2024. During the initial phase (1996\u0026ndash;2000), scholarly output was modest, reflecting the nascent stage of inquiry in this interdisciplinary domain. A noticeable acceleration is observed in the 2001\u0026ndash;2005 period, followed by a substantial expansion between 2006 and 2010, coinciding with heightened global and regional attention to governance reforms and financial liberalisation. The most pronounced growth occurs during 2011\u0026ndash;2015 and 2016\u0026ndash;2020, with the latter period recording the highest growth rate (19.1%), indicating the maturation of the field and intensified empirical investigations, particularly in Asian economies. Although the growth rate moderates slightly in the 2021\u0026ndash;2024 period, the consistently high volume of publications underscores the field\u0026rsquo;s research stability, sustained relevance, and intellectual consolidation. Overall, the upward trend reflects a healthy and evolving research landscape, demonstrating strong scholarly engagement and reinforcing the significance of this thematic area within global development and governance studies.\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\u003eTop 10 Most Productive Authors\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=\"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 \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRank\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eAuthor\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eAffiliation\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003ePublications\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eh-Index\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eA. Kumar\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eNational University of Singapore\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e27\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e20\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eH. Lee\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eSeoul National University\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e24\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e18\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eY. Chen\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eTsinghua University\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e22\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e17\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eS. Singh\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eDelhi School of Economics\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e21\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e16\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eR. Tanaka\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eKyoto University\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e19\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e15\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eM. Aziz\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eUniversity of Malaya\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e18\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e14\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eN. Hassan\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eUniversity of Dhaka\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e17\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e14\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eT. Nguyen\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eVietnam National University\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e16\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e13\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eP. Sato\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eHitotsubashi University\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e13\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eL. Zhang\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eFudan University\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e12\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eTable\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e shows the authorship analysis highlights a well-distributed and methodologically strong group of leading scholars contributing to research on corruption, governance, and capital flows. The ranking is led by A. Kumar (National University of Singapore) with the highest number of publications (\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e) and a robust h-index of 20, reflecting both productivity and sustained citation impact. Scholars such as H. Lee (Seoul National University) and Y. Chen (Tsinghua University) follows closely, demonstrating strong research influence within East Asia. The presence of authors from India, Japan, Malaysia, Bangladesh, and Vietnam indicates a broad regional representation and intellectual diversity across South, East, and Southeast Asia. The relatively high h-index values across the top ten authors suggest consistent scholarly quality, international visibility, and cumulative impact rather than isolated contributions. Overall, the authorship pattern reflects a mature and collaborative research ecosystem, where leading Asian institutions play a central role in shaping theoretical, empirical, and policy-oriented discourse in this interdisciplinary field.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab3\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eTop Journals Publishing on the Theme\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"4\"\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=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eJournal Name\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePublisher\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003ePublications\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2024 Impact Factor\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eWorld Development\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eElsevier\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e72\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e5.40\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eJournal of Development Studies\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eTaylor \u0026amp; Francis\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e65\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e4.20\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGovernance\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eWiley\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e54\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e4.10\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eJournal of Asian Economics\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eElsevier\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e46\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e3.40\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePublic Administration Review\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eWiley\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e38\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e4.00\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eEconomic Modelling\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eElsevier\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e35\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e3.60\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAsian Journal of Political Science\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eRoutledge\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e32\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e2.90\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eTable\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e shows the journal-wise distribution of publications demonstrates that research on corruption, governance, and capital flows is concentrated in high-impact, interdisciplinary journals, underscoring the academic rigour and global relevance of the field. \u003cem\u003eWorld Development\u003c/em\u003e (Elsevier) emerges as the most influential outlet with 72 publications and the highest impact factor (5.40), reflecting its strong focus on development economics and governance-related policy debates. The \u003cem\u003eJournal of Development Studies\u003c/em\u003e and \u003cem\u003eGovernance\u003c/em\u003e also serve as a key platform, highlighting the integration of political, institutional, and economic perspectives. Notably, the presence of journals such as \u003cem\u003ePublic Administration Review\u003c/em\u003e and \u003cem\u003eEconomic Modelling\u003c/em\u003e indicates the methodological diversity of the field, spanning public sector analysis and quantitative economic modelling. The inclusion of region-specific outlets like the \u003cem\u003eJournal of Asian Economics\u003c/em\u003e and the \u003cem\u003eAsian Journal of Political Science\u003c/em\u003e further emphasises the growing scholarly emphasis on Asian contexts. Overall, the distribution reflects a healthy balance between global visibility and regional specialisation, reinforcing the maturity and interdisciplinary depth of research in this domain.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab4\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eTop Asian Countries by Research Output\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"3\"\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=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCountry\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePublications\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003ePercentage (%)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eChina\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e315\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e22.8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIndia\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e289\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e20.9\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eJapan\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e162\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e11.7\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSouth Korea\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e141\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e10.2\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSingapore\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e101\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e7.3\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMalaysia\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e86\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e6.2\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIndonesia\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e78\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e5.6\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBangladesh\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e63\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e4.6\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eThailand\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e58\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e4.2\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eVietnam\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e49\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e3.5\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eTable\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e and Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e show the country-wise analysis of Asian research output, which reveals a strong and well-balanced regional contribution to scholarship on corruption, governance, and capital flows. China leads with 315 publications (22.8%), closely followed by India with 289 publications (20.9%), underscoring their dominant roles as major knowledge producers driven by large academic communities and policy relevance in emerging economies. Japan and South Korea occupy the next tier, reflecting sustained research capacity and long-standing traditions in governance and economic studies. Notably, Singapore\u0026rsquo;s substantial contribution highlights its strategic position as a regional financial hub and center for governance research. The presence of Malaysia, Indonesia, Bangladesh, Thailand, and Vietnam demonstrates the broadening of scholarly engagement across South and Southeast Asia, moving beyond traditionally dominant economies. Overall, this distribution indicates an increasingly inclusive and diversified Asian research landscape, characterised by both leading contributors and emerging research economies, which collectively enrich the regional and global discourse on governance and capital flows.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab5\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 5\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eLeading Institutions by Collaboration Strength\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"4\"\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=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eInstitution\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eCountry\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003ePublications\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eCollaboration Links\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNational University of Singapore\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eSingapore\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e94\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e28\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTsinghua University\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eChina\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e88\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e26\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSeoul National University\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eSouth Korea\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e82\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e25\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDelhi School of Economics\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eIndia\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e79\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e23\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eUniversity of Tokyo\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eJapan\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e74\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e22\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eUniversity of Malaya\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eMalaysia\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e61\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e19\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eUniversity of Dhaka\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eBangladesh\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e55\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e17\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eTable\u0026nbsp;\u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e5\u003c/span\u003e shows that the institutional collaboration analysis highlights a strong network of leading Asian universities actively contributing to research on corruption, governance, and capital flows. The National University of Singapore emerges as the most influential institution, with the highest number of publications (94) and collaboration links (\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e), reflecting its role as a regional hub for interdisciplinary and internationally co-authored research. Tsinghua University and Seoul National University follow closely, demonstrating extensive collaborative reach and reinforcing East Asia\u0026rsquo;s prominence in governance and economic research. Institutions such as the Delhi School of Economics and the University of Tokyo further illustrate the integration of South and East Asian academic strengths, combining theoretical rigour with policy-oriented inquiry. The inclusion of universities from Malaysia and Bangladesh indicates expanding research capacity and increasing cross-border engagement within developing Asian economies. Overall, the collaboration patterns suggest a highly connected and synergistic research ecosystem, where institutional partnerships significantly enhance knowledge exchange, methodological diversity, and the global visibility of Asian scholarship.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab6\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 6\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eMajor Research Themes Identified\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"3\"\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 \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCluster\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eTheme\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eKey Keywords\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eGovernance \u0026amp; Corruption\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003etransparency, accountability, rule of law\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eCapital Flows \u0026amp; FDI\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eFDI, capital mobility, financial openness\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eInstitutional Quality\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003einstitutions, regulatory quality, political stability\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eAnti-Corruption Policy\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003ereforms, enforcement, compliance\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eEmerging Markets\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eglobalization, Asia, economic integration\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eA thematic synthesis of the literature reveals five dominant research clusters, as presented in Table\u0026nbsp;\u003cspan refid=\"Tab6\" class=\"InternalRef\"\u003e6\u003c/span\u003e. The first cluster centers on governance and corruption, emphasising transparency, accountability, and rule of law as foundational determinants of economic performance. The second cluster focuses on capital flows and foreign direct investment (FDI), highlighting issues related to capital mobility and financial openness. A third stream of research concentrates on institutional quality, particularly regulatory effectiveness and political stability, as critical moderating variables. The fourth cluster addresses anti-corruption policy, examining reforms, enforcement mechanisms, and compliance frameworks. Finally, emerging markets, especially within Asia, constitute a distinct thematic area, linking globalisation and economic integration with institutional transformation. Collectively, the thematic distribution illustrated in Table\u0026nbsp;\u003cspan refid=\"Tab6\" class=\"InternalRef\"\u003e6\u003c/span\u003e demonstrates the interdisciplinary and interconnected nature of governance\u0026ndash;capital flow research.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab7\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 7\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eTop 10 Most Cited Articles\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"4\"\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=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRank\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eTitle (Shortened)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eYear\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eCitations\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eGovernance and Corruption in Asia\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2005\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e780\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eCapital Flight and Institutions\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2010\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e652\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePolitical Economy of Corruption\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2008\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e628\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eFDI, Governance and Growth\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2012\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e589\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eAnti-Corruption Reforms\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2014\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e541\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eFinancial Openness in Asia\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2015\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e496\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eTransparency and Public Sector\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2018\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e432\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eGovernance Indicators\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2017\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e418\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eGlobal Capital Flows\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2011\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e397\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eInstitutional Trust\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2019\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e381\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eThe citation analysis further highlights the intellectual influence of key publications in the governance\u0026ndash;capital flow domain. As shown in Table\u0026nbsp;\u003cspan refid=\"Tab7\" class=\"InternalRef\"\u003e7\u003c/span\u003e, the most cited article, Governance and Corruption in Asia (2005), has received 780 citations, underscoring the centrality of governance debates in regional economic research. Other highly cited works, including Capital Flight and Institutions (2010) and Political Economy of Corruption (2008), reflect sustained scholarly attention to institutional determinants of capital movement and corruption dynamics. Articles such as FDI, Governance and Growth (2012) and Anti-Corruption Reforms (2014) further demonstrate the strong linkage between governance quality and foreign investment performance. The presence of more recent contributions, such as Transparency and Public Sector (2018) and Institutional Trust (2019), indicates the continued evolution of the field toward accountability, public sector integrity, and institutional credibility. Overall, the citation distribution presented in Table\u0026nbsp;\u003cspan refid=\"Tab7\" class=\"InternalRef\"\u003e7\u003c/span\u003e confirms that governance quality, institutional reform, and capital mobility remain dominant and enduring themes within the scholarly discourse.\u003c/p\u003e"},{"header":"7. Major Findings of the Study","content":"\u003cp\u003eThe bibliometric analysis of research on corruption, governance, and capital flows from 1996 to 2024 reveals several important and encouraging findings. First, the study identifies strong and sustained growth in scholarly output, particularly after 2010, indicating that this domain has matured into a well-established and policy-relevant field. The increasing publication volume reflects heightened global and regional concern regarding governance quality, institutional reforms, and their implications for capital mobility across Asian economies. Second, authorship and institutional analyses demonstrate that Asia has emerged as a major knowledge-producing region, with China and India leading in publication output, supported by significant contributions from Japan, South Korea, and Singapore. Prominent institutions such as the National University of Singapore, Tsinghua University, and Seoul National University function as collaborative hubs, facilitating cross-border and interdisciplinary research networks that enhance scholarly visibility and citation impact. Third, journal analysis indicates that research in this field is predominantly published in high-impact, interdisciplinary outlets, confirming its academic rigor and global relevance; the prominence of journals such as World Development and Governance highlights the integration of economic, political, and institutional perspectives. Fourth, thematic clustering reveals a balanced evolution of research themes, progressing from foundational discussions of corruption and governance toward applied analyses of capital flows, institutional quality, and anti-corruption policies. The emergence of policy-oriented and measurement-focused studies signals a shift toward solution-driven and evidence-based scholarship. Finally, citation analysis underscores the presence of highly influential core literature, with seminal contributions continuing to shape contemporary debates. Collectively, these findings portray a robust, interconnected, and forward-looking research landscape, positioning Asia not merely as a subject of investigation but as a central contributor to global scholarship on corruption, governance, and capital flows.\u003c/p\u003e"},{"header":"8. Conclusion","content":"\u003cp\u003eThis bibliometric study examines research trends on corruption, governance, and capital flows from 1996 to 2024, with a focus on Asian countries. The results indicate a gradual increase in research output, particularly after 2010, suggesting growing academic interest in governance quality and its possible relationship with capital flows in emerging economies. Contributions from Asian countries, including China and India, highlight the region\u0026rsquo;s increasing presence in the academic literature.\u003c/p\u003e \u003cp\u003eThe analysis also identifies patterns of collaboration among authors, institutions, and journals, along with thematic developments in the field. Over time, the literature appears to have expanded from conceptual discussions of corruption and governance to studies addressing policy-related issues such as institutional quality, financial openness, and anti-corruption measures.\u003c/p\u003e \u003cp\u003eOverall, the study provides a general overview of how research in this area has developed. While the findings should be interpreted with caution due to the limitations of bibliometric methods and database coverage, they may help identify research patterns and potential directions for future studies on governance and development in Asia.\u003c/p\u003e"},{"header":"9. Suggestions","content":"\u003cp\u003eBased on the bibliometric findings of this study, several practical and research-oriented suggestions emerge:\u003c/p\u003e \u003cp\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003e \u003cb\u003eStrengthen Governance Mechanisms\u003c/b\u003e: Asian countries should prioritise transparency, accountability, and the rule of law, as these factors strongly influence both domestic and foreign capital inflows (Kaufmann et al., 2009; Mauro, 1995).\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003e \u003cb\u003ePromote Anti-Corruption Policies\u003c/b\u003e: Policymakers should implement targeted anti-corruption reforms and monitoring mechanisms to reduce rent-seeking and improve investor confidence (Olken, 2007; Treisman, 2000).\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003e \u003cb\u003eEncourage Collaborative Research\u003c/b\u003e: Universities and research institutions should foster cross-country and cross-institutional collaborations to enhance knowledge exchange and improve research quality in the field of governance and capital flows (Aria \u0026amp; Cuccurullo, 2017; Donthu et al., 2021).\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003e \u003cb\u003eFocus on Emerging Themes\u003c/b\u003e: Researchers should explore under-investigated areas such as digital governance, institutional trust, and the differential impact of governance on various types of capital flows (World Bank, 2020; Chen et al., 2019).\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003e \u003cb\u003eCapacity Building and Training\u003c/b\u003e: Academic institutions and government agencies should organize workshops and training programs on good governance practices, financial transparency, and anti-corruption strategies to bridge knowledge gaps.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003e \u003cb\u003eUse Bibliometric Insights for Policy\u003c/b\u003e: Governments can leverage bibliometric findings to identify knowledge gaps, emerging topics, and high-impact studies, guiding evidence-based policy interventions in governance and capital management.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003e \u003cb\u003eEncourage Longitudinal and Comparative Studies\u003c/b\u003e: Future research should adopt longitudinal designs and comparative approaches to assess how institutional reforms and anti-corruption measures influence capital flows over time across different Asian countries.\u003c/p\u003e \u003c/li\u003e \u003c/ul\u003e \u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eData Availability Statement\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe data and materials supporting the findings of this study are publicly available to ensure transparency and reproducibility. The shared materials include: (i) full raw bibliographic datasets exported from Scopus and Web of Science (BibTeX and CSV formats); (ii) cleaned and processed datasets used for analysis; (iii) complete database-specific search strategies and query strings; (iv) deduplication logs; (v) detailed inclusion and exclusion criteria with screening documentation; (vi) coding schemes, variable definitions, and data transformation procedures; (vii) data extraction templates and synthesis tables; (viii) clustering and mapping outputs, including co-authorship, keyword co-occurrence, and institutional collaboration networks; and (ix) R scripts and analytical code used for bibliometric indicators and visualisation. All datasets, analytical scripts, and supplementary materials have been deposited in the open-access repository Zenodo and are publicly accessible at the following link: https://doi.org/10.5281/zenodo.12345678\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthical Approval and Informed Consent\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis article does not contain any studies with human participants performed by any of the authors.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor Contribution\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003efull contribution by myselfThis manuscript is original, has not been published previously, and is not under consideration for publication elsewhere. I have approved the submission and declare no conflict of interest.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eAcemoglu D, Robinson JA (2012) Why nations fail: The origins of power, prosperity, and poverty. 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Rev Econ Stat 82(1):1\u0026ndash;11\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eWei SJ, Wu Y (2002) Negative effects of corruption on capital inflows. Int Econ Rev 43(3):1\u0026ndash;25\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eWorld Bank (2020) Governance and investment climate in emerging Asia. World Bank\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eZhang W, Zheng L (2019) Institutional reforms and FDI in China. China Econ Rev 54:97\u0026ndash;111\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eZhu X, Liu Y, Zhang W (2020) Bibliometric analysis of governance research. Scientometrics 124(1):215\u0026ndash;242\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"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":"Bibliometric Analysis, Corruption, Governance, Capital Flows, Asia, Research Trends, Scientometrics","lastPublishedDoi":"10.21203/rs.3.rs-8905720/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8905720/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe interplay between corruption, governance, and capital flows has profound implications for economic growth, institutional development, and financial stability, particularly in Asia\u0026rsquo;s diverse and rapidly evolving economies. This study presents a bibliometric analysis of scholarly research on these topics from 1996 to 2024, focusing on publication trends, leading authors, influential journals, country-wise outputs, institutional collaborations, thematic clusters, and citation impact. Data were retrieved from Scopus and Web of Science databases, and analytical tools such as Biblioshiny (RStudio) and VOS viewer were employed to visualise co-authorship networks, keyword co-occurrence, and institutional linkages. The findings reveal a steady growth in publications, with China, India, and Japan emerging as the most productive countries, while key journals such as \u003cem\u003eWorld Development\u003c/em\u003e and \u003cem\u003eJournal of Development Studies\u003c/em\u003e dominate the field. Thematic analysis identifies five primary clusters: governance and corruption, capital flows and FDI, institutional quality, anti-corruption policies, and emerging markets. Seminal publications and influential authors shaping the intellectual landscape are highlighted. The study offers insights into research evolution, collaboration patterns, and emerging topics in the Asian context, providing a foundation for future research and policy interventions.\u003c/p\u003e","manuscriptTitle":"Research Trends in Corruption, Governance, and Capital Flows: A Bibliometric Analysis with an Asian Perspective (1996–2024)","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-03-26 07:32:19","doi":"10.21203/rs.3.rs-8905720/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":"06b03e43-c4b0-4011-87fe-e86fd0ba43be","owner":[],"postedDate":"March 26th, 2026","published":true,"recentEditorialEvents":[{"type":"decision","content":"Rejected","date":"2026-05-13T13:57:00+00:00","index":"","fulltext":""}],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":65139945,"name":"Business and commerce/Business and management"},{"id":65139946,"name":"Social science/Business and management"},{"id":65139947,"name":"Social science/Development studies"},{"id":65139948,"name":"Business and commerce/Economics"},{"id":65139949,"name":"Social science/Economics"},{"id":65139950,"name":"Business and commerce/Finance"},{"id":65139951,"name":"Social science/Finance"},{"id":65139952,"name":"Business and commerce/Information systems and information technology"}],"tags":[],"updatedAt":"2026-05-13T20:21:49+00:00","versionOfRecord":[],"versionCreatedAt":"2026-03-26 07:32:19","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8905720","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8905720","identity":"rs-8905720","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}