Agricultural carbon emissions in Henan counties: Influence mechanism, regional differences and spatial effects

Agricultural carbon emissions in Henan counties: Influence mechanism, regional differences and spatial effects | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Agricultural carbon emissions in Henan counties: Influence mechanism, regional differences and spatial effects Weiwei Cui, Minghao Yin, Yifan Xie, Yiheng Lu, Longjunjiang Huang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4341583/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Exploring the effective and efficient path of agricultural carbon emission reduction in Henan Province is of great significance to optimizing the strategic layout of China's agricultural emission reduction and carbon sequestration. Accordingly, we first scientifically measure the agricultural carbon emissions of each county and then utilize the standard deviation ellipse and spatial measurement model to scientifically analyze and clarify the spatial and temporal evolution trend and spatial effect mechanism of agricultural carbon emissions in Henan Province based on the county data of Henan Province from 2010 to 2020. The results show that: ( 1 ) In 2020, the total agricultural carbon emissions in Henan Province will be 134.7274 million tons, with the distribution of high in the southeast and low in the northwest, which has gradually become balanced, and the center of gravity is mainly concentrated in Xuchang county. ( 2 ) The spatial dependence of agricultural carbon emissions in Henan Province shows a four-stage trend of "fluctuating down ~ continuing up ~ plummeting ~ fluctuating up again", and the spatial heterogeneity is dominated by the "low-low" agglomeration, and the "high-low" agglomeration is dominated by the "low-low" agglomeration. The spatial heterogeneity is dominated by "low-low" agglomeration, followed by "high-low" agglomeration. ( 3 ) There is an "inverted U" curve relationship between the level of agricultural economic development and agricultural carbon emissions, the latter increases and then decreases as the former increases. The increase in the level of agricultural mechanization and urbanization rate will significantly reduce agricultural carbon emissions. The opposite is true for the financial support for agriculture, the income level of rural residents, and the structure of the agricultural industry. ( 4 ) In terms of spatial spillover effects, the increase in the level of agricultural development in neighboring counties will first increase and then decrease agricultural carbon emissions in this county. The mechanization level and urbanization rate of neighboring counties will reduce agricultural carbon emissions in this county, and vice versa for the income level of rural residents and the scale utilization of agricultural land. Earth and environmental sciences/Ecology Earth and environmental sciences/Environmental sciences Earth and environmental sciences/Environmental social sciences Henan Province Agricultural carbon emissions Spatiotemporal evolution Spatial spillover effects Full Text 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. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-4341583","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":305935737,"identity":"2a6bb6cd-b5e0-44dd-8fd8-833165ced6d9","order_by":0,"name":"Weiwei Cui","email":"","orcid":"","institution":"Zhongnan University of Economics and Law","correspondingAuthor":false,"prefix":"","firstName":"Weiwei","middleName":"","lastName":"Cui","suffix":""},{"id":305935738,"identity":"1e82afa5-ef2a-49be-9ae1-759ad71f7809","order_by":1,"name":"Minghao Yin","email":"","orcid":"","institution":"Zhongnan University of Economics and Law","correspondingAuthor":false,"prefix":"","firstName":"Minghao","middleName":"","lastName":"Yin","suffix":""},{"id":305935740,"identity":"20a7c7d7-3c9e-4ace-8fb2-03e4e73e52c9","order_by":2,"name":"Yifan Xie","email":"","orcid":"","institution":"Jiangxi Agricultural University, Changbei Economic and Tec hnological Development Zone","correspondingAuthor":false,"prefix":"","firstName":"Yifan","middleName":"","lastName":"Xie","suffix":""},{"id":305935741,"identity":"4c01a059-3f1a-4f63-ac1a-67c5b9657a8b","order_by":3,"name":"Yiheng Lu","email":"","orcid":"","institution":"Zhongnan University of Economics and Law","correspondingAuthor":false,"prefix":"","firstName":"Yiheng","middleName":"","lastName":"Lu","suffix":""},{"id":305935743,"identity":"b4288289-5eae-419e-b1e9-faf5466e41d7","order_by":4,"name":"Longjunjiang Huang","email":"data:image/png;base64,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","orcid":"","institution":"Zhongnan University of Economics and Law","correspondingAuthor":true,"prefix":"","firstName":"Longjunjiang","middleName":"","lastName":"Huang","suffix":""}],"badges":[],"createdAt":"2024-04-29 09:03:22","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4341583/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4341583/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":60471385,"identity":"b207ece6-9a3c-4122-9958-6b5dd65915c6","added_by":"auto","created_at":"2024-07-17 06:46:44","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":737281,"visible":true,"origin":"","legend":"","description":"","filename":"AgriculturalcarbonemissionsinHenancounties.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4341583/v1_covered_7e217e11-31db-43fc-8e00-5f7039348743.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Agricultural carbon emissions in Henan counties: Influence mechanism, regional differences and spatial effects","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"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":"Henan Province, Agricultural carbon emissions, Spatiotemporal evolution, Spatial spillover effects","lastPublishedDoi":"10.21203/rs.3.rs-4341583/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4341583/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eExploring the effective and efficient path of agricultural carbon emission reduction in Henan Province is of great significance to optimizing the strategic layout of China's agricultural emission reduction and carbon sequestration. Accordingly, we first scientifically measure the agricultural carbon emissions of each county and then utilize the standard deviation ellipse and spatial measurement model to scientifically analyze and clarify the spatial and temporal evolution trend and spatial effect mechanism of agricultural carbon emissions in Henan Province based on the county data of Henan Province from 2010 to 2020. The results show that: (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e) In 2020, the total agricultural carbon emissions in Henan Province will be 134.7274\u0026nbsp;million tons, with the distribution of high in the southeast and low in the northwest, which has gradually become balanced, and the center of gravity is mainly concentrated in Xuchang county. (\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e) The spatial dependence of agricultural carbon emissions in Henan Province shows a four-stage trend of \"fluctuating down ~\u0026thinsp;continuing up ~\u0026thinsp;plummeting\u0026thinsp;~\u0026thinsp;fluctuating up again\", and the spatial heterogeneity is dominated by the \"low-low\" agglomeration, and the \"high-low\" agglomeration is dominated by the \"low-low\" agglomeration. The spatial heterogeneity is dominated by \"low-low\" agglomeration, followed by \"high-low\" agglomeration. (\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e) There is an \"inverted U\" curve relationship between the level of agricultural economic development and agricultural carbon emissions, the latter increases and then decreases as the former increases. The increase in the level of agricultural mechanization and urbanization rate will significantly reduce agricultural carbon emissions. The opposite is true for the financial support for agriculture, the income level of rural residents, and the structure of the agricultural industry. (\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e) In terms of spatial spillover effects, the increase in the level of agricultural development in neighboring counties will first increase and then decrease agricultural carbon emissions in this county. The mechanization level and urbanization rate of neighboring counties will reduce agricultural carbon emissions in this county, and vice versa for the income level of rural residents and the scale utilization of agricultural land.\u003c/p\u003e","manuscriptTitle":"Agricultural carbon emissions in Henan counties: Influence mechanism, regional differences and spatial effects","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-05-24 05:31:14","doi":"10.21203/rs.3.rs-4341583/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":"d2819463-010f-4f0e-89e0-3694874c78b1","owner":[],"postedDate":"May 24th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":32311024,"name":"Earth and environmental sciences/Ecology"},{"id":32311025,"name":"Earth and environmental sciences/Environmental sciences"},{"id":32311026,"name":"Earth and environmental sciences/Environmental social sciences"}],"tags":[],"updatedAt":"2024-07-17T06:38:35+00:00","versionOfRecord":[],"versionCreatedAt":"2024-05-24 05:31:14","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-4341583","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4341583","identity":"rs-4341583","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}