Analysis of the Spatial Pattern Evolution and Influencing Factors of Pollution-intensive Industries: A Case Study of the Yangtze River Economic Belt, China

Analysis of the Spatial Pattern Evolution and Influencing Factors of Pollution-intensive Industries: A Case Study of the Yangtze River Economic Belt, China | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Analysis of the Spatial Pattern Evolution and Influencing Factors of Pollution-intensive Industries: A Case Study of the Yangtze River Economic Belt, China Junyin Tan, Yang Xiang, Lihua Huang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8937407/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 This study identifies 17 pollution-intensive industries (PII) by industrial pollution emission intensity and uses latitude and longitude data of 4,663,413 Chinese enterprises to explore the spatiotemporal evolution and driving factors of PII in the Yangtze River Economic Belt (YREB). The result indicates that: First, PII quantity in YREB grew significantly with distinct phased growth differences. Second, the spatial distribution of PII showed prominent imbalance, presenting an east-west stepped-down pattern. water pollution-intensive industries as the core component of PII agglomeration. Third, PII exhibited a weak northeast-southwest migration trend over time, displaying a characteristic pattern of contraction followed by diffusion. Their spatial gravity center moved southwest, and layout favored socioeconomic advantages. Forth, three factors, namely institutions, traditional location and new economic geography, will have an impact on the agglomeration of PII in the YREB. Among them, the intensity of environmental regulations, green finance and opening up to the outside world have a negative inhibitory effect on the agglomeration of PII in the YREB, while labor supply and technological progress have a promoting effect. Moreover, these factors have obvious spatiotemporal heterogeneity. Pollution-intensive industries MGWR The Yangtze River Economic Belt Spatiotemporal analysis Influencing factors 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-8937407","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":595812469,"identity":"1ce27f7f-3fe0-4753-bce2-989e5325eedb","order_by":0,"name":"Junyin Tan","email":"","orcid":"","institution":"Lanzhou University","correspondingAuthor":false,"prefix":"","firstName":"Junyin","middleName":"","lastName":"Tan","suffix":""},{"id":595812470,"identity":"fd11a8c4-3ef5-46ff-9c72-1e6f943cd74b","order_by":1,"name":"Yang Xiang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA6UlEQVRIiWNgGAWjYBADOfv25oMPEipqiNdibMBzLNngwZljxGtJ3CCRYyb5sIWZsFL5GbnHJH7uqE3czpBjVpHYwMbA396dgFeLwY28NMneM8eNdzYcK7uRuEOGQeLM2Q34tQDdI8Hbdky24WDzthuJZ9iAIrn4tcjPAHrhb9sxxobDDGYFiW3MhLUw3Mgxk+Ztq1HccIzFjIEoLQZn3hhby7YdMJbsYUuWSDhzjIegX+Tbcwxvvm2rk+OXf3zw44+KGjn+9l4CDmNgYJFgYDgM5/EQUg4CzB8YGOqIUTgKRsEoGAUjFQAA1+NNisZsAwUAAAAASUVORK5CYII=","orcid":"","institution":"Chongqing Technology and Business University","correspondingAuthor":true,"prefix":"","firstName":"Yang","middleName":"","lastName":"Xiang","suffix":""},{"id":595812471,"identity":"3d5572c6-d5a1-44fa-972c-300ef012024f","order_by":2,"name":"Lihua Huang","email":"","orcid":"","institution":"Fuzhou University of International Studies and Trade","correspondingAuthor":false,"prefix":"","firstName":"Lihua","middleName":"","lastName":"Huang","suffix":""}],"badges":[],"createdAt":"2026-02-22 06:55:05","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-8937407/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-8937407/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":103506875,"identity":"317b5395-26fa-45a8-b1e3-d8613807d212","added_by":"auto","created_at":"2026-02-26 13:39:49","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1088534,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscript2026.01.29.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8937407/v1_covered_36a280e9-eda2-457c-a259-55265ce15ac5.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Analysis of the Spatial Pattern Evolution and Influencing Factors of Pollution-intensive Industries: A Case Study of the Yangtze River Economic Belt, China","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"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":"Pollution-intensive industries, MGWR, The Yangtze River Economic Belt, Spatiotemporal analysis, Influencing factors","lastPublishedDoi":"10.21203/rs.3.rs-8937407/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8937407/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis study identifies 17 pollution-intensive industries (PII) by industrial pollution emission intensity and uses latitude and longitude data of 4,663,413 Chinese enterprises to explore the spatiotemporal evolution and driving factors of PII in the Yangtze River Economic Belt (YREB). 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