Ecological-economic coordination in the Yellow River basin: spatial and temporal evolution and driving mechanisms
In recent years, environmental damage caused by economic development has been increasing in China’s Yellow River basin (YRB), one of the country’s most important economic zones. Finding an appropriate governance model is a prerequisite to ensuring the coordinated development of the YRB. Traditional...
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description | In recent years, environmental damage caused by economic development has been increasing in China’s Yellow River basin (YRB), one of the country’s most important economic zones. Finding an appropriate governance model is a prerequisite to ensuring the coordinated development of the YRB. Traditional analysis focus on city or province level, which is less accurate and ignores the interaction between spaces. This paper explores the distribution, spatial relationships and influencing factors of the level of coordinated development at county level in the YRB and its impact on the study area’s environment. This investigation aims to provide scientific support for the region's governance. We used the equivalent value method, the entropy method, a coupling coordinating degree model and the double-fixed spatial Durbin model to quantify, spatialize and assess the relationship between the value of ecosystem services and economic development and to analyze the drivers of ecological changes and the spatial interaction effects in the YRB from 2010 to 2020. The results show that (1) The degree of ecological-economic coupling coordination in the YRB steadily increased over the study period and is high in eastern areas but low in the western area. The growth rate is fast in the east and slow in the west and the gap has gradually enlarged. (2) Adjusting the industrial ratios alone cannot improve the level of local coordinated development. The intensity of government public expenditure support can significantly affect the coordinated development level of local, and the intensity of the impact on the neighboring areas depends on the difficulty of intercommunication between areas. (3) Increasing rural disposable income in mountainous areas can effectively increase the level of local coupling coordination but can also lead to a decrease in coupling coordination in the surrounding areas. (4) The influence of the normalized difference vegetation index on coupling coordination depends on local land values. |
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Finding an appropriate governance model is a prerequisite to ensuring the coordinated development of the YRB. Traditional analysis focus on city or province level, which is less accurate and ignores the interaction between spaces. This paper explores the distribution, spatial relationships and influencing factors of the level of coordinated development at county level in the YRB and its impact on the study area’s environment. This investigation aims to provide scientific support for the region's governance. We used the equivalent value method, the entropy method, a coupling coordinating degree model and the double-fixed spatial Durbin model to quantify, spatialize and assess the relationship between the value of ecosystem services and economic development and to analyze the drivers of ecological changes and the spatial interaction effects in the YRB from 2010 to 2020. The results show that (1) The degree of ecological-economic coupling coordination in the YRB steadily increased over the study period and is high in eastern areas but low in the western area. The growth rate is fast in the east and slow in the west and the gap has gradually enlarged. (2) Adjusting the industrial ratios alone cannot improve the level of local coordinated development. The intensity of government public expenditure support can significantly affect the coordinated development level of local, and the intensity of the impact on the neighboring areas depends on the difficulty of intercommunication between areas. (3) Increasing rural disposable income in mountainous areas can effectively increase the level of local coupling coordination but can also lead to a decrease in coupling coordination in the surrounding areas. (4) The influence of the normalized difference vegetation index on coupling coordination depends on local land values.</description><identifier>ISSN: 1573-2975</identifier><identifier>ISSN: 1387-585X</identifier><identifier>EISSN: 1573-2975</identifier><identifier>DOI: 10.1007/s10668-022-02859-6</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>China ; Coordination ; Coupling ; Disposable income ; Earth and Environmental Science ; Ecological effects ; ecological value ; Ecology ; Economic analysis ; Economic development ; Economic Geology ; Economic Growth ; Economics ; Ecosystem services ; Ecosystems ; Entropy ; Environment ; Environmental degradation ; Environmental Economics ; Environmental Management ; Governance ; Government spending ; Growth rate ; income ; Land appraisals ; Mountain regions ; Mountainous areas ; mountains ; normalized difference vegetation index ; Normalized difference vegetative index ; public expenditure ; River basins ; Rivers ; Rural communities ; Sustainable Development ; Value ; Vegetation ; watersheds ; Yellow River</subject><ispartof>Environment, development and sustainability, 2024-02, Vol.26 (2), p.3819-3848</ispartof><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c352t-79671966dc59712d840684e9363201c8e6b5f651b4c79efa1485681951451af63</citedby><cites>FETCH-LOGICAL-c352t-79671966dc59712d840684e9363201c8e6b5f651b4c79efa1485681951451af63</cites><orcidid>0000-0002-2622-8148</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10668-022-02859-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10668-022-02859-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Li, Daozheng</creatorcontrib><creatorcontrib>Liang, Diling</creatorcontrib><creatorcontrib>Li, Tongning</creatorcontrib><creatorcontrib>Chen, Shuhua</creatorcontrib><title>Ecological-economic coordination in the Yellow River basin: spatial and temporal evolution and driving mechanisms</title><title>Environment, development and sustainability</title><addtitle>Environ Dev Sustain</addtitle><description>In recent years, environmental damage caused by economic development has been increasing in China’s Yellow River basin (YRB), one of the country’s most important economic zones. Finding an appropriate governance model is a prerequisite to ensuring the coordinated development of the YRB. Traditional analysis focus on city or province level, which is less accurate and ignores the interaction between spaces. This paper explores the distribution, spatial relationships and influencing factors of the level of coordinated development at county level in the YRB and its impact on the study area’s environment. This investigation aims to provide scientific support for the region's governance. We used the equivalent value method, the entropy method, a coupling coordinating degree model and the double-fixed spatial Durbin model to quantify, spatialize and assess the relationship between the value of ecosystem services and economic development and to analyze the drivers of ecological changes and the spatial interaction effects in the YRB from 2010 to 2020. The results show that (1) The degree of ecological-economic coupling coordination in the YRB steadily increased over the study period and is high in eastern areas but low in the western area. The growth rate is fast in the east and slow in the west and the gap has gradually enlarged. (2) Adjusting the industrial ratios alone cannot improve the level of local coordinated development. The intensity of government public expenditure support can significantly affect the coordinated development level of local, and the intensity of the impact on the neighboring areas depends on the difficulty of intercommunication between areas. (3) Increasing rural disposable income in mountainous areas can effectively increase the level of local coupling coordination but can also lead to a decrease in coupling coordination in the surrounding areas. (4) The influence of the normalized difference vegetation index on coupling coordination depends on local land values.</description><subject>China</subject><subject>Coordination</subject><subject>Coupling</subject><subject>Disposable income</subject><subject>Earth and Environmental Science</subject><subject>Ecological effects</subject><subject>ecological value</subject><subject>Ecology</subject><subject>Economic analysis</subject><subject>Economic development</subject><subject>Economic Geology</subject><subject>Economic Growth</subject><subject>Economics</subject><subject>Ecosystem services</subject><subject>Ecosystems</subject><subject>Entropy</subject><subject>Environment</subject><subject>Environmental degradation</subject><subject>Environmental Economics</subject><subject>Environmental Management</subject><subject>Governance</subject><subject>Government spending</subject><subject>Growth rate</subject><subject>income</subject><subject>Land appraisals</subject><subject>Mountain regions</subject><subject>Mountainous areas</subject><subject>mountains</subject><subject>normalized difference vegetation index</subject><subject>Normalized difference vegetative index</subject><subject>public expenditure</subject><subject>River basins</subject><subject>Rivers</subject><subject>Rural communities</subject><subject>Sustainable Development</subject><subject>Value</subject><subject>Vegetation</subject><subject>watersheds</subject><subject>Yellow 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coordination in the Yellow River basin: spatial and temporal evolution and driving mechanisms</title><author>Li, Daozheng ; Liang, Diling ; Li, Tongning ; Chen, Shuhua</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c352t-79671966dc59712d840684e9363201c8e6b5f651b4c79efa1485681951451af63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>China</topic><topic>Coordination</topic><topic>Coupling</topic><topic>Disposable income</topic><topic>Earth and Environmental Science</topic><topic>Ecological effects</topic><topic>ecological value</topic><topic>Ecology</topic><topic>Economic analysis</topic><topic>Economic development</topic><topic>Economic Geology</topic><topic>Economic Growth</topic><topic>Economics</topic><topic>Ecosystem services</topic><topic>Ecosystems</topic><topic>Entropy</topic><topic>Environment</topic><topic>Environmental degradation</topic><topic>Environmental 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Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Daozheng</au><au>Liang, Diling</au><au>Li, Tongning</au><au>Chen, Shuhua</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Ecological-economic coordination in the Yellow River basin: spatial and temporal evolution and driving mechanisms</atitle><jtitle>Environment, development and sustainability</jtitle><stitle>Environ Dev Sustain</stitle><date>2024-02-01</date><risdate>2024</risdate><volume>26</volume><issue>2</issue><spage>3819</spage><epage>3848</epage><pages>3819-3848</pages><issn>1573-2975</issn><issn>1387-585X</issn><eissn>1573-2975</eissn><abstract>In recent years, environmental damage caused by economic development has been increasing in China’s Yellow River basin (YRB), one of the country’s most important economic zones. Finding an appropriate governance model is a prerequisite to ensuring the coordinated development of the YRB. Traditional analysis focus on city or province level, which is less accurate and ignores the interaction between spaces. This paper explores the distribution, spatial relationships and influencing factors of the level of coordinated development at county level in the YRB and its impact on the study area’s environment. This investigation aims to provide scientific support for the region's governance. We used the equivalent value method, the entropy method, a coupling coordinating degree model and the double-fixed spatial Durbin model to quantify, spatialize and assess the relationship between the value of ecosystem services and economic development and to analyze the drivers of ecological changes and the spatial interaction effects in the YRB from 2010 to 2020. The results show that (1) The degree of ecological-economic coupling coordination in the YRB steadily increased over the study period and is high in eastern areas but low in the western area. The growth rate is fast in the east and slow in the west and the gap has gradually enlarged. (2) Adjusting the industrial ratios alone cannot improve the level of local coordinated development. The intensity of government public expenditure support can significantly affect the coordinated development level of local, and the intensity of the impact on the neighboring areas depends on the difficulty of intercommunication between areas. (3) Increasing rural disposable income in mountainous areas can effectively increase the level of local coupling coordination but can also lead to a decrease in coupling coordination in the surrounding areas. (4) The influence of the normalized difference vegetation index on coupling coordination depends on local land values.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s10668-022-02859-6</doi><tpages>30</tpages><orcidid>https://orcid.org/0000-0002-2622-8148</orcidid></addata></record> |
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subjects | China Coordination Coupling Disposable income Earth and Environmental Science Ecological effects ecological value Ecology Economic analysis Economic development Economic Geology Economic Growth Economics Ecosystem services Ecosystems Entropy Environment Environmental degradation Environmental Economics Environmental Management Governance Government spending Growth rate income Land appraisals Mountain regions Mountainous areas mountains normalized difference vegetation index Normalized difference vegetative index public expenditure River basins Rivers Rural communities Sustainable Development Value Vegetation watersheds Yellow River |
title | Ecological-economic coordination in the Yellow River basin: spatial and temporal evolution and driving mechanisms |
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