Digital Economy and Environmental Quality: Insights from the Spatial Durbin Model
Recent developments in attaining carbon peaks and achieving carbon neutrality have had enormous effects on the world economy. Digitalization has been considered a viable way to curtail carbon emissions (CE) and promote sustainable economic development, but scant empirical studies investigate the lin...
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Veröffentlicht in: | International journal of environmental research and public health 2022-12, Vol.19 (23), p.16094 |
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description | Recent developments in attaining carbon peaks and achieving carbon neutrality have had enormous effects on the world economy. Digitalization has been considered a viable way to curtail carbon emissions (CE) and promote sustainable economic development, but scant empirical studies investigate the link between digitalization and CE. In this context, this study constructs the digitalization index using the entropy value method and spatial Markov chain, and the spatial Durbin model is employed to analyze its impact mechanism and influence on urban CE in 265 prefecture-level cities and municipalities in China from 2011 to 2017. The results indicate that: (1) The overall development level of the digital economy (DE) posed a significant spatial effect on urban environmental pollution. However, the effect varies according to the different neighborhood backgrounds. (2) The DE impedes urban environmental deterioration directly and indirectly through the channels of industrial structure, inclusive finance, and urbanization. (3) The development of the DE significantly reduces pollution in cities belonging to urban agglomerations, while the development of the DE escalates emissions in nonurban agglomeration cities. Finally, based on the results, important policy implications are put forward to improve the environmental quality of cities. |
doi_str_mv | 10.3390/ijerph192316094 |
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Digitalization has been considered a viable way to curtail carbon emissions (CE) and promote sustainable economic development, but scant empirical studies investigate the link between digitalization and CE. In this context, this study constructs the digitalization index using the entropy value method and spatial Markov chain, and the spatial Durbin model is employed to analyze its impact mechanism and influence on urban CE in 265 prefecture-level cities and municipalities in China from 2011 to 2017. The results indicate that: (1) The overall development level of the digital economy (DE) posed a significant spatial effect on urban environmental pollution. However, the effect varies according to the different neighborhood backgrounds. (2) The DE impedes urban environmental deterioration directly and indirectly through the channels of industrial structure, inclusive finance, and urbanization. (3) The development of the DE significantly reduces pollution in cities belonging to urban agglomerations, while the development of the DE escalates emissions in nonurban agglomeration cities. Finally, based on the results, important policy implications are put forward to improve the environmental quality of cities.</description><identifier>ISSN: 1660-4601</identifier><identifier>ISSN: 1661-7827</identifier><identifier>EISSN: 1660-4601</identifier><identifier>DOI: 10.3390/ijerph192316094</identifier><identifier>PMID: 36498171</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Carbon ; China ; Cities ; Climate change ; Consumption ; Digital economy ; Digital technology ; Digitization ; Economic Development ; Economic growth ; Economics ; Efficiency ; Emissions ; Environmental degradation ; Environmental impact ; Environmental quality ; Global economy ; Greenhouse gases ; Impact analysis ; Innovations ; Markov analysis ; Markov chains ; Municipalities ; Neighborhoods ; Pollution ; Pollution control ; Regions ; Sustainable development ; Urbanization</subject><ispartof>International journal of environmental research and public health, 2022-12, Vol.19 (23), p.16094</ispartof><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). 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Digitalization has been considered a viable way to curtail carbon emissions (CE) and promote sustainable economic development, but scant empirical studies investigate the link between digitalization and CE. In this context, this study constructs the digitalization index using the entropy value method and spatial Markov chain, and the spatial Durbin model is employed to analyze its impact mechanism and influence on urban CE in 265 prefecture-level cities and municipalities in China from 2011 to 2017. The results indicate that: (1) The overall development level of the digital economy (DE) posed a significant spatial effect on urban environmental pollution. However, the effect varies according to the different neighborhood backgrounds. (2) The DE impedes urban environmental deterioration directly and indirectly through the channels of industrial structure, inclusive finance, and urbanization. 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Finally, based on the results, important policy implications are put forward to improve the environmental quality of cities.</description><subject>Carbon</subject><subject>China</subject><subject>Cities</subject><subject>Climate change</subject><subject>Consumption</subject><subject>Digital economy</subject><subject>Digital technology</subject><subject>Digitization</subject><subject>Economic Development</subject><subject>Economic growth</subject><subject>Economics</subject><subject>Efficiency</subject><subject>Emissions</subject><subject>Environmental degradation</subject><subject>Environmental impact</subject><subject>Environmental quality</subject><subject>Global economy</subject><subject>Greenhouse gases</subject><subject>Impact analysis</subject><subject>Innovations</subject><subject>Markov analysis</subject><subject>Markov chains</subject><subject>Municipalities</subject><subject>Neighborhoods</subject><subject>Pollution</subject><subject>Pollution control</subject><subject>Regions</subject><subject>Sustainable development</subject><subject>Urbanization</subject><issn>1660-4601</issn><issn>1661-7827</issn><issn>1660-4601</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpdkc1LAzEQxYMotn6cvcmC59V8bbLxIEhbtaBIsfeQzSZtym5Ss7uF_veutEr1NAPvN28eMwBcIXhLiIB3bmXieokEJohBQY_AEDEGU8ogOj7oB-CsaVYQkpwycQoGhFGRI46GYDZ2C9eqKpno4EO9TZQvk4nfuBh8bfy3MutU5drtfTL1jVss2yaxMdRJuzTJx1q1rkfGXSycT95CaaoLcGJV1ZjLfT0H86fJfPSSvr4_T0ePr6mmGLUpMjnPsdaZFbyA2LJCW54xaIpMM1tazimzQuNMGY4wg5zjvBQI4qwwiEJyDh52tuuuqE2p-6xRVXIdXa3iVgbl5F_Fu6VchI0UnOQZ4b3Bzd4ghs_ONK1chS76PrLEnOYZxbmgPXW3o3QMTRON_d2AoPx-gfz3gn7i-jDYL_9zc_IFCuiD9A</recordid><startdate>20221201</startdate><enddate>20221201</enddate><creator>Wang, Xueyang</creator><creator>Sun, Xiumei</creator><creator>Zhang, Haotian</creator><creator>Ahmad, Mahmood</creator><general>MDPI AG</general><general>MDPI</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-9974-0150</orcidid></search><sort><creationdate>20221201</creationdate><title>Digital Economy and Environmental Quality: Insights from the Spatial Durbin Model</title><author>Wang, Xueyang ; Sun, Xiumei ; Zhang, Haotian ; Ahmad, Mahmood</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c421t-1e8782cc5f97b02f6bcf7560eb5c6fdf7746f9c25ae712607728d91025be1403</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Carbon</topic><topic>China</topic><topic>Cities</topic><topic>Climate change</topic><topic>Consumption</topic><topic>Digital economy</topic><topic>Digital technology</topic><topic>Digitization</topic><topic>Economic Development</topic><topic>Economic growth</topic><topic>Economics</topic><topic>Efficiency</topic><topic>Emissions</topic><topic>Environmental degradation</topic><topic>Environmental impact</topic><topic>Environmental quality</topic><topic>Global economy</topic><topic>Greenhouse gases</topic><topic>Impact analysis</topic><topic>Innovations</topic><topic>Markov analysis</topic><topic>Markov chains</topic><topic>Municipalities</topic><topic>Neighborhoods</topic><topic>Pollution</topic><topic>Pollution control</topic><topic>Regions</topic><topic>Sustainable development</topic><topic>Urbanization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Xueyang</creatorcontrib><creatorcontrib>Sun, Xiumei</creatorcontrib><creatorcontrib>Zhang, Haotian</creatorcontrib><creatorcontrib>Ahmad, Mahmood</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International journal of environmental research and public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Xueyang</au><au>Sun, Xiumei</au><au>Zhang, Haotian</au><au>Ahmad, Mahmood</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Digital Economy and Environmental Quality: Insights from the Spatial Durbin Model</atitle><jtitle>International journal of environmental research and public health</jtitle><addtitle>Int J Environ Res Public Health</addtitle><date>2022-12-01</date><risdate>2022</risdate><volume>19</volume><issue>23</issue><spage>16094</spage><pages>16094-</pages><issn>1660-4601</issn><issn>1661-7827</issn><eissn>1660-4601</eissn><abstract>Recent developments in attaining carbon peaks and achieving carbon neutrality have had enormous effects on the world economy. Digitalization has been considered a viable way to curtail carbon emissions (CE) and promote sustainable economic development, but scant empirical studies investigate the link between digitalization and CE. In this context, this study constructs the digitalization index using the entropy value method and spatial Markov chain, and the spatial Durbin model is employed to analyze its impact mechanism and influence on urban CE in 265 prefecture-level cities and municipalities in China from 2011 to 2017. The results indicate that: (1) The overall development level of the digital economy (DE) posed a significant spatial effect on urban environmental pollution. However, the effect varies according to the different neighborhood backgrounds. (2) The DE impedes urban environmental deterioration directly and indirectly through the channels of industrial structure, inclusive finance, and urbanization. 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subjects | Carbon China Cities Climate change Consumption Digital economy Digital technology Digitization Economic Development Economic growth Economics Efficiency Emissions Environmental degradation Environmental impact Environmental quality Global economy Greenhouse gases Impact analysis Innovations Markov analysis Markov chains Municipalities Neighborhoods Pollution Pollution control Regions Sustainable development Urbanization |
title | Digital Economy and Environmental Quality: Insights from the Spatial Durbin Model |
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