Drivers of water pollutant discharge in urban agglomerations and their scale effects
Revealing the drivers and scale effects of water pollutant discharges is an important issue in the study of the environmental consequences during urban agglomeration evolution. It is also a prerequisite for realizing collaborative water pollutant reduction and environmental governance in urban agglo...
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Veröffentlicht in: | Journal of geographical sciences 2023-01, Vol.33 (1), p.195-214 |
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description | Revealing the drivers and scale effects of water pollutant discharges is an important issue in the study of the environmental consequences during urban agglomeration evolution. It is also a prerequisite for realizing collaborative water pollutant reduction and environmental governance in urban agglomerations. This paper takes 305 counties in the Yangtze River Delta (YRD) as an example and selects chemical oxygen demand (COD) and ammonia nitrogen (NH3—N) as two distinctive pollutant indicators, using the Spatial Lag Model (SLM) and Spatial Error Model (SEM) to estimate the drivers of water pollutant discharges in 2011 and 2016. Then the Multiscale Geographically Weighted Regression (MGWR) model is constructed to diagnose the scale effect and spatial heterogeneity of the drivers. The findings show that the size of population, the level of urbanization, and the economic development level show global-level increase impacts on water pollutant discharges, while the level of industrialization, social fixed assets investment, foreign direct investment, and local fiscal decentralization are local-level impacts. The spatial heterogeneity of local drivers presents the following characteristics: Social fixed assets investment has a strong promoting effect on both COD and NH3—N discharges in the Hangzhou—Jiaxing—Huzhou region and the coastal area of the YRD; industrialization has a promoting effect on COD discharges in the Taihu Lake basin and Zhejiang province; foreign direct investment has a local inhibitory effect on NH3—N discharge, and the pollution halo effect is more prominent in the marginal areas of the YRD such as northern Jiangsu, northern Anhui, and southern Zhejiang; local fiscal decentralization has a noticeable inhibitory effect on COD discharge in the central areas of the YRD, reflecting the positive impacts on improved local environmental awareness and stronger constraints of multilevel environmental regulations in the urban agglomeration. Therefore, it is recommended to guide greener development to reduce the water pollutant discharge; to embed an environmental push-back mechanism in the fields of industrial production, capital investment, and financial income and expenditure; and to establish a high-quality development pattern of urban agglomerations systematically compatible with the carrying capacity of the water environment. |
doi_str_mv | 10.1007/s11442-022-2066-6 |
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It is also a prerequisite for realizing collaborative water pollutant reduction and environmental governance in urban agglomerations. This paper takes 305 counties in the Yangtze River Delta (YRD) as an example and selects chemical oxygen demand (COD) and ammonia nitrogen (NH3—N) as two distinctive pollutant indicators, using the Spatial Lag Model (SLM) and Spatial Error Model (SEM) to estimate the drivers of water pollutant discharges in 2011 and 2016. Then the Multiscale Geographically Weighted Regression (MGWR) model is constructed to diagnose the scale effect and spatial heterogeneity of the drivers. The findings show that the size of population, the level of urbanization, and the economic development level show global-level increase impacts on water pollutant discharges, while the level of industrialization, social fixed assets investment, foreign direct investment, and local fiscal decentralization are local-level impacts. The spatial heterogeneity of local drivers presents the following characteristics: Social fixed assets investment has a strong promoting effect on both COD and NH3—N discharges in the Hangzhou—Jiaxing—Huzhou region and the coastal area of the YRD; industrialization has a promoting effect on COD discharges in the Taihu Lake basin and Zhejiang province; foreign direct investment has a local inhibitory effect on NH3—N discharge, and the pollution halo effect is more prominent in the marginal areas of the YRD such as northern Jiangsu, northern Anhui, and southern Zhejiang; local fiscal decentralization has a noticeable inhibitory effect on COD discharge in the central areas of the YRD, reflecting the positive impacts on improved local environmental awareness and stronger constraints of multilevel environmental regulations in the urban agglomeration. Therefore, it is recommended to guide greener development to reduce the water pollutant discharge; to embed an environmental push-back mechanism in the fields of industrial production, capital investment, and financial income and expenditure; and to establish a high-quality development pattern of urban agglomerations systematically compatible with the carrying capacity of the water environment.</description><identifier>ISSN: 1009-637X</identifier><identifier>EISSN: 1861-9568</identifier><identifier>DOI: 10.1007/s11442-022-2066-6</identifier><language>eng</language><publisher>Heidelberg: Springer Nature B.V</publisher><subject>Agglomeration ; Ammonia ; Carrying capacity ; Chemical oxygen demand ; Coastal zone ; Economic development ; Environmental awareness ; Environmental governance ; Environmental regulations ; Environmental studies ; Fixed assets ; Foreign investment ; Heterogeneity ; Industrial development ; Industrial production ; Industrialization ; Lake basins ; Pollutants ; Pollution control ; Urban areas ; Urbanization ; Water pollution ; Water pollution effects</subject><ispartof>Journal of geographical sciences, 2023-01, Vol.33 (1), p.195-214</ispartof><rights>Science in China Press 2023.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c1196-f119c6115d39e312f8c94f5cec7c01e6eaa9d45d9ff1a709f7905bd2dd46aaaf3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2918587590?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,778,782,21375,27911,27912,33731,43792,64370,64374,72224</link.rule.ids></links><search><creatorcontrib>Zhou, Kan</creatorcontrib><creatorcontrib>Yin, Yue</creatorcontrib><creatorcontrib>Chen, Yufan</creatorcontrib><title>Drivers of water pollutant discharge in urban agglomerations and their scale effects</title><title>Journal of geographical sciences</title><description>Revealing the drivers and scale effects of water pollutant discharges is an important issue in the study of the environmental consequences during urban agglomeration evolution. It is also a prerequisite for realizing collaborative water pollutant reduction and environmental governance in urban agglomerations. This paper takes 305 counties in the Yangtze River Delta (YRD) as an example and selects chemical oxygen demand (COD) and ammonia nitrogen (NH3—N) as two distinctive pollutant indicators, using the Spatial Lag Model (SLM) and Spatial Error Model (SEM) to estimate the drivers of water pollutant discharges in 2011 and 2016. Then the Multiscale Geographically Weighted Regression (MGWR) model is constructed to diagnose the scale effect and spatial heterogeneity of the drivers. The findings show that the size of population, the level of urbanization, and the economic development level show global-level increase impacts on water pollutant discharges, while the level of industrialization, social fixed assets investment, foreign direct investment, and local fiscal decentralization are local-level impacts. The spatial heterogeneity of local drivers presents the following characteristics: Social fixed assets investment has a strong promoting effect on both COD and NH3—N discharges in the Hangzhou—Jiaxing—Huzhou region and the coastal area of the YRD; industrialization has a promoting effect on COD discharges in the Taihu Lake basin and Zhejiang province; foreign direct investment has a local inhibitory effect on NH3—N discharge, and the pollution halo effect is more prominent in the marginal areas of the YRD such as northern Jiangsu, northern Anhui, and southern Zhejiang; local fiscal decentralization has a noticeable inhibitory effect on COD discharge in the central areas of the YRD, reflecting the positive impacts on improved local environmental awareness and stronger constraints of multilevel environmental regulations in the urban agglomeration. Therefore, it is recommended to guide greener development to reduce the water pollutant discharge; to embed an environmental push-back mechanism in the fields of industrial production, capital investment, and financial income and expenditure; and to establish a high-quality development pattern of urban agglomerations systematically compatible with the carrying capacity of the water environment.</description><subject>Agglomeration</subject><subject>Ammonia</subject><subject>Carrying capacity</subject><subject>Chemical oxygen demand</subject><subject>Coastal zone</subject><subject>Economic development</subject><subject>Environmental awareness</subject><subject>Environmental governance</subject><subject>Environmental regulations</subject><subject>Environmental studies</subject><subject>Fixed assets</subject><subject>Foreign investment</subject><subject>Heterogeneity</subject><subject>Industrial development</subject><subject>Industrial production</subject><subject>Industrialization</subject><subject>Lake basins</subject><subject>Pollutants</subject><subject>Pollution control</subject><subject>Urban areas</subject><subject>Urbanization</subject><subject>Water pollution</subject><subject>Water pollution effects</subject><issn>1009-637X</issn><issn>1861-9568</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNotjc1KAzEURoMoWKsP4C7gOnpvZpKZLKX-QsFNBXflNrlpp4wzNcno61vQzXfO6nxCXCPcIkBzlxHrWivQWmmwVtkTMcPWonLGtqdHB3DKVs3HubjIeQ9QudrqmVg9pO6bU5ZjlD9UOMnD2PdToaHI0GW_o7Rl2Q1yShsaJG23_fjJiUo3DlnSEGTZcZdk9tSz5BjZl3wpziL1ma_-ORfvT4-rxYtavj2_Lu6XyiM6q-JxvUU0oXJcoY6td3U0nn3jAdkykQu1CS5GpAZcbByYTdAh1JaIYjUXN3_dQxq_Js5lvR-nNBwv19pha9rGOKh-AfU7VCA</recordid><startdate>20230101</startdate><enddate>20230101</enddate><creator>Zhou, Kan</creator><creator>Yin, Yue</creator><creator>Chen, Yufan</creator><general>Springer Nature B.V</general><scope>AEUYN</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope></search><sort><creationdate>20230101</creationdate><title>Drivers of water pollutant discharge in urban agglomerations and their scale effects</title><author>Zhou, Kan ; Yin, Yue ; Chen, Yufan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1196-f119c6115d39e312f8c94f5cec7c01e6eaa9d45d9ff1a709f7905bd2dd46aaaf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Agglomeration</topic><topic>Ammonia</topic><topic>Carrying capacity</topic><topic>Chemical oxygen demand</topic><topic>Coastal zone</topic><topic>Economic development</topic><topic>Environmental awareness</topic><topic>Environmental governance</topic><topic>Environmental regulations</topic><topic>Environmental studies</topic><topic>Fixed assets</topic><topic>Foreign investment</topic><topic>Heterogeneity</topic><topic>Industrial development</topic><topic>Industrial production</topic><topic>Industrialization</topic><topic>Lake basins</topic><topic>Pollutants</topic><topic>Pollution control</topic><topic>Urban areas</topic><topic>Urbanization</topic><topic>Water pollution</topic><topic>Water pollution effects</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhou, Kan</creatorcontrib><creatorcontrib>Yin, Yue</creatorcontrib><creatorcontrib>Chen, Yufan</creatorcontrib><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><jtitle>Journal of geographical sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhou, Kan</au><au>Yin, Yue</au><au>Chen, Yufan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Drivers of water pollutant discharge in urban agglomerations and their scale effects</atitle><jtitle>Journal of geographical sciences</jtitle><date>2023-01-01</date><risdate>2023</risdate><volume>33</volume><issue>1</issue><spage>195</spage><epage>214</epage><pages>195-214</pages><issn>1009-637X</issn><eissn>1861-9568</eissn><abstract>Revealing the drivers and scale effects of water pollutant discharges is an important issue in the study of the environmental consequences during urban agglomeration evolution. It is also a prerequisite for realizing collaborative water pollutant reduction and environmental governance in urban agglomerations. This paper takes 305 counties in the Yangtze River Delta (YRD) as an example and selects chemical oxygen demand (COD) and ammonia nitrogen (NH3—N) as two distinctive pollutant indicators, using the Spatial Lag Model (SLM) and Spatial Error Model (SEM) to estimate the drivers of water pollutant discharges in 2011 and 2016. Then the Multiscale Geographically Weighted Regression (MGWR) model is constructed to diagnose the scale effect and spatial heterogeneity of the drivers. The findings show that the size of population, the level of urbanization, and the economic development level show global-level increase impacts on water pollutant discharges, while the level of industrialization, social fixed assets investment, foreign direct investment, and local fiscal decentralization are local-level impacts. The spatial heterogeneity of local drivers presents the following characteristics: Social fixed assets investment has a strong promoting effect on both COD and NH3—N discharges in the Hangzhou—Jiaxing—Huzhou region and the coastal area of the YRD; industrialization has a promoting effect on COD discharges in the Taihu Lake basin and Zhejiang province; foreign direct investment has a local inhibitory effect on NH3—N discharge, and the pollution halo effect is more prominent in the marginal areas of the YRD such as northern Jiangsu, northern Anhui, and southern Zhejiang; local fiscal decentralization has a noticeable inhibitory effect on COD discharge in the central areas of the YRD, reflecting the positive impacts on improved local environmental awareness and stronger constraints of multilevel environmental regulations in the urban agglomeration. Therefore, it is recommended to guide greener development to reduce the water pollutant discharge; to embed an environmental push-back mechanism in the fields of industrial production, capital investment, and financial income and expenditure; and to establish a high-quality development pattern of urban agglomerations systematically compatible with the carrying capacity of the water environment.</abstract><cop>Heidelberg</cop><pub>Springer Nature B.V</pub><doi>10.1007/s11442-022-2066-6</doi><tpages>20</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Agglomeration Ammonia Carrying capacity Chemical oxygen demand Coastal zone Economic development Environmental awareness Environmental governance Environmental regulations Environmental studies Fixed assets Foreign investment Heterogeneity Industrial development Industrial production Industrialization Lake basins Pollutants Pollution control Urban areas Urbanization Water pollution Water pollution effects |
title | Drivers of water pollutant discharge in urban agglomerations and their scale effects |
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