Examining the coordination between common prosperity and ecological environment using coupling and spatial analyses: Evidence from the Chengdu-Chongqing economic circle in China

Examining the coordination between common prosperity and ecological environment using coupling and spatial analyses: Evidence from the Chengdu-Chongqing economic circle in 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 Examining the coordination between common prosperity and ecological environment using coupling and spatial analyses: Evidence from the Chengdu-Chongqing economic circle in China Yuee Tang, Weiyi Zhao, Hong Tang, Jia Jia This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3249838/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 The Chengdu-Chongqing economic circle(CEC) contributes significantly to China’s economic growth. Using coupling coordination degree models and spatial autocorrelation methods, this article examines the spatio-temporal characteristics of the coordination between common prosperity༈CP༉ and ecological environment (EE) of 16 cities in CEC from 2005 to 2020. According to our results, the overall degree of coupling coordination between CP and EEis not high and grows slowly. It has experienced three stages of coordination, namely primary, low, and moderate coordination, indicating that the coordinated relationship of CP and EEis improving as a whole. The CP of this region lags behind the EE, hindering the improvement of its degree of coupling coordination. The plain economic region of Chengdu presents the best coupling-coordinated development and has more significant differences compared to the other two regions. Moreover, the southeastern Sichuan area has the lowest degree of coupling coordination; the regional difference in coupling coordination degree between northeast and southeastern Sichuan is relatively small, and tends to narrow. A strong spatial correlation exists between coupling coordination development of CP and EE, which has the characteristic of ‘north high and south low’. Common prosperity Ecological environment Coupling coordination Spatial correlation Chengdu-Chongqing economic circle Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Figure 8 Full Text Additional Declarations Tables 1 to 5 are available in the Supplementary Files section. Supplementary Files table.docx Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-3249838","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":235652345,"identity":"49735b34-e615-4649-9ff9-89d66f005984","order_by":0,"name":"Yuee Tang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABDElEQVRIie2QP0vEMBiHEwLtktj1rS5+hEghCBb7QVxaAp2qt0mHQwtCbrzVwQ8hCK4WAjdVXTMGbrRDxeUGQa+TgzQ6CuaZXl5+D+8fhDyevw22aOBAIkK0deXoV0k4vq4Pw3gRlPzXCqFdHfFnug8uJQsf9QtTacaNxJYp2Es0RRzN05PJKfSsPGKqLG6NJDxWkAjNWotW5WkzuVglEqZ0LsxsBQcKpNA7OceNnlaiflQ+MmFkuCkUXN5dUQ5OBapkzVSL740MUNvB+IQfFNMLfPMki4duTeKmBgJ6++TccUu4rJKhPz/O4oXEb+/8gkRLre0wTyeVLcEu/dbLp+Mj5HXjDng8Hs9/5xPZpFaTMl9wCwAAAABJRU5ErkJggg==","orcid":"https://orcid.org/0000-0001-9250-2152","institution":"Chengdu University of Information Technology","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Yuee","middleName":"","lastName":"Tang","suffix":""},{"id":235652346,"identity":"dc6757ad-63bb-4038-b6f8-ccd6316971a3","order_by":1,"name":"Weiyi Zhao","email":"","orcid":"","institution":"Shanghai University of Finance and Economics","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Weiyi","middleName":"","lastName":"Zhao","suffix":""},{"id":235652347,"identity":"960de570-f08b-4446-95a9-98d7fd0f03fc","order_by":2,"name":"Hong Tang","email":"","orcid":"","institution":"Chengdu University of Information Technology","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Hong","middleName":"","lastName":"Tang","suffix":""},{"id":235652348,"identity":"abddccb3-70fd-4005-8fe3-38123fc32c40","order_by":3,"name":"Jia Jia","email":"","orcid":"","institution":"Chengdu University of Information Technology","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Jia","middleName":"","lastName":"Jia","suffix":""}],"badges":[],"createdAt":"2023-08-09 18:40:24","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-3249838/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-3249838/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":43912785,"identity":"017d986d-a792-4103-9114-bdd878a29491","added_by":"auto","created_at":"2023-09-29 22:36:37","extension":"jpg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":70153,"visible":true,"origin":"","legend":"\u003cp\u003eRelationship of common prosperity and ecological environment\u003c/p\u003e","description":"","filename":"floatimage1.jpg","url":"https://assets-eu.researchsquare.com/files/rs-3249838/v1/19235dd42040a9e080e2a09f.jpg"},{"id":43912783,"identity":"c03e52aa-91a8-4f46-aafd-37509338e363","added_by":"auto","created_at":"2023-09-29 22:36:37","extension":"jpg","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":62306,"visible":true,"origin":"","legend":"\u003cp\u003eGDP per capita in different regions of China (Yuan/person).\u003c/p\u003e\n\u003cp\u003eNote: The eastern region includes 11 provinces, including Beijing, Tianjin, Hebei, Liaoning, Shanghai, Jiangsu, Zhejiang, Fujian, Shandong, Guangdong and Hainan; The central includes Jilin, Heilongjiang, Anhui, Shanxi, Jiangxi, Henan, Hubei and Hunan; The west includes 8 provinces :Inner Mongolia Autonomous Region, Guangxi Zhuang Autonomous Region, Chongqing, Sichuan, Guizhou, Yunnan, Tibet, Shaanxi, Gansu, Qinghai, Ningxia Hui Autonomous Region and Xinjiang Uygur Autonomous Region. The per capita GDP data \u0026nbsp;from the National Bureau of Statistics.\u003c/p\u003e","description":"","filename":"floatimage2.jpg","url":"https://assets-eu.researchsquare.com/files/rs-3249838/v1/f7ae31b456f25864c98dd916.jpg"},{"id":43912791,"identity":"ace7bcfc-fbd5-4295-b5b2-f15dcba60c2f","added_by":"auto","created_at":"2023-09-29 22:36:37","extension":"jpg","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":103865,"visible":true,"origin":"","legend":"\u003cp\u003eSpatial distribution of common prosperity from 2005 to 2020\u003c/p\u003e","description":"","filename":"floatimage3.jpg","url":"https://assets-eu.researchsquare.com/files/rs-3249838/v1/fc8d20911591836d11e08a3a.jpg"},{"id":43914867,"identity":"d7e2e412-3ee8-4855-b6b0-64792f091607","added_by":"auto","created_at":"2023-09-29 23:00:37","extension":"jpg","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":72301,"visible":true,"origin":"","legend":"\u003cp\u003eSpatial differences of common prosperity from 2005 to 2020\u003c/p\u003e","description":"","filename":"floatimage4.jpg","url":"https://assets-eu.researchsquare.com/files/rs-3249838/v1/9dc5118833d120cc83c9cd7a.jpg"},{"id":43914117,"identity":"e990c187-6270-4468-a5c4-7b41f73febe2","added_by":"auto","created_at":"2023-09-29 22:44:37","extension":"jpg","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":103448,"visible":true,"origin":"","legend":"\u003cp\u003eSpatial distribution of ecological environment from 2005 to 2020\u003c/p\u003e","description":"","filename":"floatimage5.jpg","url":"https://assets-eu.researchsquare.com/files/rs-3249838/v1/161d1b4a29856d2bd78d225a.jpg"},{"id":43914615,"identity":"34420e8d-aa79-4288-8dc8-8539d0698eb6","added_by":"auto","created_at":"2023-09-29 22:52:37","extension":"jpg","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":74807,"visible":true,"origin":"","legend":"\u003cp\u003eSpatial differences of coupling coordination degree index from 2005 to 2020\u003c/p\u003e","description":"","filename":"floatimage6.jpg","url":"https://assets-eu.researchsquare.com/files/rs-3249838/v1/1a9cdd5da102ef28c1cb35a5.jpg"},{"id":43914128,"identity":"a051c996-ace6-4e42-90ee-1f6c15daed26","added_by":"auto","created_at":"2023-09-29 22:44:37","extension":"jpg","order_by":7,"title":"Figure 7","display":"","copyAsset":false,"role":"figure","size":103559,"visible":true,"origin":"","legend":"\u003cp\u003eSpatial distribution of coupling coordination degree from 2005 to 2020\u003c/p\u003e","description":"","filename":"floatimage7.jpg","url":"https://assets-eu.researchsquare.com/files/rs-3249838/v1/0f348fb46cf8af68b272c6c0.jpg"},{"id":43912787,"identity":"8808d37e-564a-47a5-ba8d-7061e7c4b995","added_by":"auto","created_at":"2023-09-29 22:36:37","extension":"jpg","order_by":8,"title":"Figure 8","display":"","copyAsset":false,"role":"figure","size":56843,"visible":true,"origin":"","legend":"\u003cp\u003eLISA plot of coupling coordination degree in 2009 and 2019\u003c/p\u003e","description":"","filename":"floatimage8.jpg","url":"https://assets-eu.researchsquare.com/files/rs-3249838/v1/9d514be5ed8b7e913e230898.jpg"},{"id":44540697,"identity":"c5523d79-1adc-4c4b-aecd-e84a836cd1c4","added_by":"auto","created_at":"2023-10-12 22:33:42","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":663909,"visible":true,"origin":"","legend":"","description":"","filename":"manu.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3249838/v1_covered_0d9077ca-5436-4caf-af8a-16a0dbf7d6a1.pdf"},{"id":43914098,"identity":"821b3dbc-ef00-41b5-b523-8abd2176f1f7","added_by":"auto","created_at":"2023-09-29 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Using coupling coordination degree models and spatial autocorrelation methods, this article examines the spatio-temporal characteristics of the coordination between common prosperity༈CP༉ and ecological environment (EE) of 16 cities in CEC from 2005 to 2020. According to our results, the overall degree of coupling coordination between CP and EEis not high and grows slowly. It has experienced three stages of coordination, namely primary, low, and moderate coordination, indicating that the coordinated relationship of CP and EEis improving as a whole. The CP of this region lags behind the EE, hindering the improvement of its degree of coupling coordination. The plain economic region of Chengdu presents the best coupling-coordinated development and has more significant differences compared to the other two regions. Moreover, the southeastern Sichuan area has the lowest degree of coupling coordination; the regional difference in coupling coordination degree between northeast and southeastern Sichuan is relatively small, and tends to narrow. A strong spatial correlation exists between coupling coordination development of CP and EE, which has the characteristic of \u0026lsquo;north high and south low\u0026rsquo;.\u003c/p\u003e","manuscriptTitle":"Examining the coordination between common prosperity and ecological environment using coupling and spatial analyses: Evidence from the Chengdu-Chongqing economic circle in China","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2023-09-29 22:36:33","doi":"10.21203/rs.3.rs-3249838/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":"3c37f1ec-8c02-42e7-a8f3-10cde85a7d41","owner":[],"postedDate":"September 29th, 2023","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2023-10-12T22:25:29+00:00","versionOfRecord":[],"versionCreatedAt":"2023-09-29 22:36:33","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-3249838","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-3249838","identity":"rs-3249838","version":["v1"]},"buildId":"WrCJVZZCHTDjtuVLN7oU0","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}