Spatial and temporal distribution characteristics of carbon emissions and their drivers in shrinking cities in China: Empirical evidence based on the NPP/VIIRS nighttime lighting index

Shrinking cities are a category of cities characterized by population loss, and the environmental problems of these cities are often neglected. Using panel data from 2012 to 2019, this paper investigates the spatial and temporal distribution characteristics of carbon emissions in shrinking cities in...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of environmental management 2022-11, Vol.322, p.116082-116082, Article 116082
Hauptverfasser: Yang, Shengdong, Yang, Xu, Gao, Xin, Zhang, Jingxiao
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 116082
container_issue
container_start_page 116082
container_title Journal of environmental management
container_volume 322
creator Yang, Shengdong
Yang, Xu
Gao, Xin
Zhang, Jingxiao
description Shrinking cities are a category of cities characterized by population loss, and the environmental problems of these cities are often neglected. Using panel data from 2012 to 2019, this paper investigates the spatial and temporal distribution characteristics of carbon emissions in shrinking cities in China and the driving factors. The results find that: (1) From 2012 to 2019, carbon emissions tend to increase in shrinking cities and decrease in non-shrinking cities. Due to earlier industrial development and ecological neglect, shrinking cities in Northeast China have higher carbon emissions than other regions. (2) Population size, industrial structure and public services promote the growth of carbon emissions in shrinking cities. The influence of living environment on carbon emissions in shrinking cities is not significant. There is an environmental Kuznets curve (EKC) relationship between economic level and carbon emission. (3) In shrinking cities, the increase in commuting time and distance due to spatial expansion promotes the growth of carbon emissions. Foreign investment decreases with the loss of population, which reduces carbon emissions. Technological progress gradually declines as investment in science and technology decreases, which makes carbon emissions grow. This paper clarifies the driving factors of carbon emissions in shrinking cities in China, and therefore, the findings of this paper have important reference value for the formulation of carbon reduction policies in shrinking cities in developing countries. •Carbon emissions in shrinking cities tend to grow.•Shrinking cities have higher carbon emissions compared to non-shrinking cities.•The characteristic factors of shrinking cities affect carbon emissions.•Carbon emissions from shrinking cities have spatial effects.
doi_str_mv 10.1016/j.jenvman.2022.116082
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2709740039</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0301479722016553</els_id><sourcerecordid>2709740039</sourcerecordid><originalsourceid>FETCH-LOGICAL-c342t-ed5a2cbbb4736c470e3e6c4e8f08a210c6beed4ce6d5b44d0ebf51160f534ebf3</originalsourceid><addsrcrecordid>eNqFUU1v1DAQtRCVWFp-ApKPXLK1HSfZ5YLQqoWVqlJR4Gr5Y9LMkjjB9q7af8bPw2l65zTj8XtvNO8R8p6zNWe8vjysD-BPg_ZrwYRYc16zjXhFVpxtq2JTl-w1WbGS8UI22-YNeRvjgTFWCt6syN_7SSfUPdXe0QTDNIb8cBhTQHNMOHpqOx20TRDyEG2kY0utDib_wIAxZkhc2B1goC7gCUKk6GnsAvrf6B-oxYTwPNt16PVHejVMGNDmVXBCB94CNTqCo1k169Dbu7vLX_v993vq8aFLCQeg_dzNaugdPF6Qs1b3Ed691HPy8_rqx-5rcfPty373-aawpRSpAFdpYY0xsilrKxsGJeQKm5ZttODM1gbASQu1q4yUjoFpq9nBtipl7stz8mHRncL45wgxqXy0hb7XHsZjVKJh20ZmO7cZWi1QG8YYA7RqCjjo8KQ4U3NS6qBeklJzUmpJKvM-LTzId5wQgooWZ08cBrBJuRH_o_APSmGkdA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2709740039</pqid></control><display><type>article</type><title>Spatial and temporal distribution characteristics of carbon emissions and their drivers in shrinking cities in China: Empirical evidence based on the NPP/VIIRS nighttime lighting index</title><source>Elsevier ScienceDirect Journals</source><creator>Yang, Shengdong ; Yang, Xu ; Gao, Xin ; Zhang, Jingxiao</creator><creatorcontrib>Yang, Shengdong ; Yang, Xu ; Gao, Xin ; Zhang, Jingxiao</creatorcontrib><description>Shrinking cities are a category of cities characterized by population loss, and the environmental problems of these cities are often neglected. Using panel data from 2012 to 2019, this paper investigates the spatial and temporal distribution characteristics of carbon emissions in shrinking cities in China and the driving factors. The results find that: (1) From 2012 to 2019, carbon emissions tend to increase in shrinking cities and decrease in non-shrinking cities. Due to earlier industrial development and ecological neglect, shrinking cities in Northeast China have higher carbon emissions than other regions. (2) Population size, industrial structure and public services promote the growth of carbon emissions in shrinking cities. The influence of living environment on carbon emissions in shrinking cities is not significant. There is an environmental Kuznets curve (EKC) relationship between economic level and carbon emission. (3) In shrinking cities, the increase in commuting time and distance due to spatial expansion promotes the growth of carbon emissions. Foreign investment decreases with the loss of population, which reduces carbon emissions. Technological progress gradually declines as investment in science and technology decreases, which makes carbon emissions grow. This paper clarifies the driving factors of carbon emissions in shrinking cities in China, and therefore, the findings of this paper have important reference value for the formulation of carbon reduction policies in shrinking cities in developing countries. •Carbon emissions in shrinking cities tend to grow.•Shrinking cities have higher carbon emissions compared to non-shrinking cities.•The characteristic factors of shrinking cities affect carbon emissions.•Carbon emissions from shrinking cities have spatial effects.</description><identifier>ISSN: 0301-4797</identifier><identifier>EISSN: 1095-8630</identifier><identifier>DOI: 10.1016/j.jenvman.2022.116082</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Carbon emissions ; China ; NPP/VIIRS night light index ; Shrinking cities ; Spatio-temporal characteristics</subject><ispartof>Journal of environmental management, 2022-11, Vol.322, p.116082-116082, Article 116082</ispartof><rights>2022 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c342t-ed5a2cbbb4736c470e3e6c4e8f08a210c6beed4ce6d5b44d0ebf51160f534ebf3</citedby><cites>FETCH-LOGICAL-c342t-ed5a2cbbb4736c470e3e6c4e8f08a210c6beed4ce6d5b44d0ebf51160f534ebf3</cites><orcidid>0000-0002-1510-780X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0301479722016553$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Yang, Shengdong</creatorcontrib><creatorcontrib>Yang, Xu</creatorcontrib><creatorcontrib>Gao, Xin</creatorcontrib><creatorcontrib>Zhang, Jingxiao</creatorcontrib><title>Spatial and temporal distribution characteristics of carbon emissions and their drivers in shrinking cities in China: Empirical evidence based on the NPP/VIIRS nighttime lighting index</title><title>Journal of environmental management</title><description>Shrinking cities are a category of cities characterized by population loss, and the environmental problems of these cities are often neglected. Using panel data from 2012 to 2019, this paper investigates the spatial and temporal distribution characteristics of carbon emissions in shrinking cities in China and the driving factors. The results find that: (1) From 2012 to 2019, carbon emissions tend to increase in shrinking cities and decrease in non-shrinking cities. Due to earlier industrial development and ecological neglect, shrinking cities in Northeast China have higher carbon emissions than other regions. (2) Population size, industrial structure and public services promote the growth of carbon emissions in shrinking cities. The influence of living environment on carbon emissions in shrinking cities is not significant. There is an environmental Kuznets curve (EKC) relationship between economic level and carbon emission. (3) In shrinking cities, the increase in commuting time and distance due to spatial expansion promotes the growth of carbon emissions. Foreign investment decreases with the loss of population, which reduces carbon emissions. Technological progress gradually declines as investment in science and technology decreases, which makes carbon emissions grow. This paper clarifies the driving factors of carbon emissions in shrinking cities in China, and therefore, the findings of this paper have important reference value for the formulation of carbon reduction policies in shrinking cities in developing countries. •Carbon emissions in shrinking cities tend to grow.•Shrinking cities have higher carbon emissions compared to non-shrinking cities.•The characteristic factors of shrinking cities affect carbon emissions.•Carbon emissions from shrinking cities have spatial effects.</description><subject>Carbon emissions</subject><subject>China</subject><subject>NPP/VIIRS night light index</subject><subject>Shrinking cities</subject><subject>Spatio-temporal characteristics</subject><issn>0301-4797</issn><issn>1095-8630</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNqFUU1v1DAQtRCVWFp-ApKPXLK1HSfZ5YLQqoWVqlJR4Gr5Y9LMkjjB9q7af8bPw2l65zTj8XtvNO8R8p6zNWe8vjysD-BPg_ZrwYRYc16zjXhFVpxtq2JTl-w1WbGS8UI22-YNeRvjgTFWCt6syN_7SSfUPdXe0QTDNIb8cBhTQHNMOHpqOx20TRDyEG2kY0utDib_wIAxZkhc2B1goC7gCUKk6GnsAvrf6B-oxYTwPNt16PVHejVMGNDmVXBCB94CNTqCo1k169Dbu7vLX_v993vq8aFLCQeg_dzNaugdPF6Qs1b3Ed691HPy8_rqx-5rcfPty373-aawpRSpAFdpYY0xsilrKxsGJeQKm5ZttODM1gbASQu1q4yUjoFpq9nBtipl7stz8mHRncL45wgxqXy0hb7XHsZjVKJh20ZmO7cZWi1QG8YYA7RqCjjo8KQ4U3NS6qBeklJzUmpJKvM-LTzId5wQgooWZ08cBrBJuRH_o_APSmGkdA</recordid><startdate>20221115</startdate><enddate>20221115</enddate><creator>Yang, Shengdong</creator><creator>Yang, Xu</creator><creator>Gao, Xin</creator><creator>Zhang, Jingxiao</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-1510-780X</orcidid></search><sort><creationdate>20221115</creationdate><title>Spatial and temporal distribution characteristics of carbon emissions and their drivers in shrinking cities in China: Empirical evidence based on the NPP/VIIRS nighttime lighting index</title><author>Yang, Shengdong ; Yang, Xu ; Gao, Xin ; Zhang, Jingxiao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c342t-ed5a2cbbb4736c470e3e6c4e8f08a210c6beed4ce6d5b44d0ebf51160f534ebf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Carbon emissions</topic><topic>China</topic><topic>NPP/VIIRS night light index</topic><topic>Shrinking cities</topic><topic>Spatio-temporal characteristics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yang, Shengdong</creatorcontrib><creatorcontrib>Yang, Xu</creatorcontrib><creatorcontrib>Gao, Xin</creatorcontrib><creatorcontrib>Zhang, Jingxiao</creatorcontrib><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of environmental management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yang, Shengdong</au><au>Yang, Xu</au><au>Gao, Xin</au><au>Zhang, Jingxiao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatial and temporal distribution characteristics of carbon emissions and their drivers in shrinking cities in China: Empirical evidence based on the NPP/VIIRS nighttime lighting index</atitle><jtitle>Journal of environmental management</jtitle><date>2022-11-15</date><risdate>2022</risdate><volume>322</volume><spage>116082</spage><epage>116082</epage><pages>116082-116082</pages><artnum>116082</artnum><issn>0301-4797</issn><eissn>1095-8630</eissn><abstract>Shrinking cities are a category of cities characterized by population loss, and the environmental problems of these cities are often neglected. Using panel data from 2012 to 2019, this paper investigates the spatial and temporal distribution characteristics of carbon emissions in shrinking cities in China and the driving factors. The results find that: (1) From 2012 to 2019, carbon emissions tend to increase in shrinking cities and decrease in non-shrinking cities. Due to earlier industrial development and ecological neglect, shrinking cities in Northeast China have higher carbon emissions than other regions. (2) Population size, industrial structure and public services promote the growth of carbon emissions in shrinking cities. The influence of living environment on carbon emissions in shrinking cities is not significant. There is an environmental Kuznets curve (EKC) relationship between economic level and carbon emission. (3) In shrinking cities, the increase in commuting time and distance due to spatial expansion promotes the growth of carbon emissions. Foreign investment decreases with the loss of population, which reduces carbon emissions. Technological progress gradually declines as investment in science and technology decreases, which makes carbon emissions grow. This paper clarifies the driving factors of carbon emissions in shrinking cities in China, and therefore, the findings of this paper have important reference value for the formulation of carbon reduction policies in shrinking cities in developing countries. •Carbon emissions in shrinking cities tend to grow.•Shrinking cities have higher carbon emissions compared to non-shrinking cities.•The characteristic factors of shrinking cities affect carbon emissions.•Carbon emissions from shrinking cities have spatial effects.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.jenvman.2022.116082</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-1510-780X</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0301-4797
ispartof Journal of environmental management, 2022-11, Vol.322, p.116082-116082, Article 116082
issn 0301-4797
1095-8630
language eng
recordid cdi_proquest_miscellaneous_2709740039
source Elsevier ScienceDirect Journals
subjects Carbon emissions
China
NPP/VIIRS night light index
Shrinking cities
Spatio-temporal characteristics
title Spatial and temporal distribution characteristics of carbon emissions and their drivers in shrinking cities in China: Empirical evidence based on the NPP/VIIRS nighttime lighting index
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-03T21%3A29%3A07IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Spatial%20and%20temporal%20distribution%20characteristics%20of%20carbon%20emissions%20and%20their%20drivers%20in%20shrinking%20cities%20in%20China:%20Empirical%20evidence%20based%20on%20the%20NPP/VIIRS%20nighttime%20lighting%20index&rft.jtitle=Journal%20of%20environmental%20management&rft.au=Yang,%20Shengdong&rft.date=2022-11-15&rft.volume=322&rft.spage=116082&rft.epage=116082&rft.pages=116082-116082&rft.artnum=116082&rft.issn=0301-4797&rft.eissn=1095-8630&rft_id=info:doi/10.1016/j.jenvman.2022.116082&rft_dat=%3Cproquest_cross%3E2709740039%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2709740039&rft_id=info:pmid/&rft_els_id=S0301479722016553&rfr_iscdi=true