Revisiting the environmental Kuznets curve of PM2.5 concentration: evidence from prefecture-level and above cities of China

In this paper, the panel data of China’s four municipalities and 223 prefecture-level cities were used to investigate whether the EKC hypothesis for urban PM2.5 concentration was satisfied, considering such factors as urbanization population, electricity consumption, innovation capacity, and foreign...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Environmental science and pollution research international 2020-03, Vol.27 (9), p.9336-9348
Hauptverfasser: Wang, Yongpei, Komonpipat, Supak
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 9348
container_issue 9
container_start_page 9336
container_title Environmental science and pollution research international
container_volume 27
creator Wang, Yongpei
Komonpipat, Supak
description In this paper, the panel data of China’s four municipalities and 223 prefecture-level cities were used to investigate whether the EKC hypothesis for urban PM2.5 concentration was satisfied, considering such factors as urbanization population, electricity consumption, innovation capacity, and foreign direct investment in the cities. Assuming that the level of economic development directly affects the PM2.5 concentration, and the PM2.5 concentration will continue to increase at the early stage. Once the urban economy develops to a certain extent, the PM2.5 concentration will start to decline, and the environmental quality will be improved. Therefore, we attempt to construct the standard EKC by incorporating the quadratic and cubic terms of GDP per capita. The empirical results show that, except for the four municipalities of Beijing, Tianjin, Shanghai, and Chongqing, economic growth has a complex impact on PM2.5 concentration in most cities during the study period, rather than a simple inverted U-shaped pattern. Moreover, only in recent years has smog pollution shown an average decrease. But if the sources of smog are difficult to explore, it is worth considering the possibility of adjusting economic structure to meet environmental targets.
doi_str_mv 10.1007/s11356-020-07621-x
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2431845721</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2381955212</sourcerecordid><originalsourceid>FETCH-LOGICAL-c461t-3f0fd84ab2e1a3d131b59cf78d5bfc142ba894d31edf861bbf239acf8f76aaef3</originalsourceid><addsrcrecordid>eNp9kU1vFSEUhkmjaa-1f6ALQ-KmGyoHmA_cmZtWjTVtjK4JwxzaaWbgCjM3Vf-8XG_VxIUrksNzngPnJeQU-Dlw3rzKALKqGRec8aYWwB4OyApqUKxRWj8hK66VYiCVOiLPcr7nhdSiOSRHEvSOa1fkxyfcDnmYh3BL5zukGLZDimHCMNuRfli-B5wzdUvaIo2e3nwU5xV1MbgCJDsPMbymxdBjqVCf4kQ3CT26eUnIRtziSG3oqe1iEbgyB_POs74bgn1Onno7Zjx5PI_Jl8uLz-t37Or67fv1myvmVA0zk577vlW2EwhW9iChq7TzTdtXnXegRGdbrXoJ2Pu2hq7zQmrrfOub2lr08pic7b2bFL8umGczDdnhONqAcclGKAmtqhoBBX35D3oflxTK64yQLeiqEiAKJfaUSzHn8l-zScNk0zcD3OyiMftoTFm4-RWNeShNLx7VSzdh_6fldxYFkHsgl6twi-nv7P9ofwLFNpwM</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2381955212</pqid></control><display><type>article</type><title>Revisiting the environmental Kuznets curve of PM2.5 concentration: evidence from prefecture-level and above cities of China</title><source>MEDLINE</source><source>SpringerLink Journals - AutoHoldings</source><creator>Wang, Yongpei ; Komonpipat, Supak</creator><creatorcontrib>Wang, Yongpei ; Komonpipat, Supak</creatorcontrib><description>In this paper, the panel data of China’s four municipalities and 223 prefecture-level cities were used to investigate whether the EKC hypothesis for urban PM2.5 concentration was satisfied, considering such factors as urbanization population, electricity consumption, innovation capacity, and foreign direct investment in the cities. Assuming that the level of economic development directly affects the PM2.5 concentration, and the PM2.5 concentration will continue to increase at the early stage. Once the urban economy develops to a certain extent, the PM2.5 concentration will start to decline, and the environmental quality will be improved. Therefore, we attempt to construct the standard EKC by incorporating the quadratic and cubic terms of GDP per capita. The empirical results show that, except for the four municipalities of Beijing, Tianjin, Shanghai, and Chongqing, economic growth has a complex impact on PM2.5 concentration in most cities during the study period, rather than a simple inverted U-shaped pattern. Moreover, only in recent years has smog pollution shown an average decrease. But if the sources of smog are difficult to explore, it is worth considering the possibility of adjusting economic structure to meet environmental targets.</description><identifier>ISSN: 0944-1344</identifier><identifier>EISSN: 1614-7499</identifier><identifier>DOI: 10.1007/s11356-020-07621-x</identifier><identifier>PMID: 31916148</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Air Pollutants - analysis ; Air Pollution - analysis ; Aquatic Pollution ; Atmospheric Protection/Air Quality Control/Air Pollution ; Beijing ; China ; Cities ; Consumption ; Earth and Environmental Science ; Economic development ; Economic growth ; economic structure ; Economics ; Ecotoxicology ; electric energy consumption ; Electricity consumption ; Environment ; Environmental Chemistry ; Environmental Health ; Environmental Kuznets curve ; Environmental Monitoring ; Environmental quality ; Environmental science ; foreign direct investment ; Hypotheses ; Impact analysis ; Income distribution ; Municipalities ; Parameter estimation ; Particulate matter ; Particulate Matter - analysis ; Per capita ; Population ; Research Article ; Smog ; smog pollution ; Urbanization ; Waste Water Technology ; Water Management ; Water Pollution Control</subject><ispartof>Environmental science and pollution research international, 2020-03, Vol.27 (9), p.9336-9348</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2020</rights><rights>Environmental Science and Pollution Research is a copyright of Springer, (2020). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c461t-3f0fd84ab2e1a3d131b59cf78d5bfc142ba894d31edf861bbf239acf8f76aaef3</citedby><cites>FETCH-LOGICAL-c461t-3f0fd84ab2e1a3d131b59cf78d5bfc142ba894d31edf861bbf239acf8f76aaef3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11356-020-07621-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11356-020-07621-x$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31916148$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, Yongpei</creatorcontrib><creatorcontrib>Komonpipat, Supak</creatorcontrib><title>Revisiting the environmental Kuznets curve of PM2.5 concentration: evidence from prefecture-level and above cities of China</title><title>Environmental science and pollution research international</title><addtitle>Environ Sci Pollut Res</addtitle><addtitle>Environ Sci Pollut Res Int</addtitle><description>In this paper, the panel data of China’s four municipalities and 223 prefecture-level cities were used to investigate whether the EKC hypothesis for urban PM2.5 concentration was satisfied, considering such factors as urbanization population, electricity consumption, innovation capacity, and foreign direct investment in the cities. Assuming that the level of economic development directly affects the PM2.5 concentration, and the PM2.5 concentration will continue to increase at the early stage. Once the urban economy develops to a certain extent, the PM2.5 concentration will start to decline, and the environmental quality will be improved. Therefore, we attempt to construct the standard EKC by incorporating the quadratic and cubic terms of GDP per capita. The empirical results show that, except for the four municipalities of Beijing, Tianjin, Shanghai, and Chongqing, economic growth has a complex impact on PM2.5 concentration in most cities during the study period, rather than a simple inverted U-shaped pattern. Moreover, only in recent years has smog pollution shown an average decrease. But if the sources of smog are difficult to explore, it is worth considering the possibility of adjusting economic structure to meet environmental targets.</description><subject>Air Pollutants - analysis</subject><subject>Air Pollution - analysis</subject><subject>Aquatic Pollution</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Beijing</subject><subject>China</subject><subject>Cities</subject><subject>Consumption</subject><subject>Earth and Environmental Science</subject><subject>Economic development</subject><subject>Economic growth</subject><subject>economic structure</subject><subject>Economics</subject><subject>Ecotoxicology</subject><subject>electric energy consumption</subject><subject>Electricity consumption</subject><subject>Environment</subject><subject>Environmental Chemistry</subject><subject>Environmental Health</subject><subject>Environmental Kuznets curve</subject><subject>Environmental Monitoring</subject><subject>Environmental quality</subject><subject>Environmental science</subject><subject>foreign direct investment</subject><subject>Hypotheses</subject><subject>Impact analysis</subject><subject>Income distribution</subject><subject>Municipalities</subject><subject>Parameter estimation</subject><subject>Particulate matter</subject><subject>Particulate Matter - analysis</subject><subject>Per capita</subject><subject>Population</subject><subject>Research Article</subject><subject>Smog</subject><subject>smog pollution</subject><subject>Urbanization</subject><subject>Waste Water Technology</subject><subject>Water Management</subject><subject>Water Pollution Control</subject><issn>0944-1344</issn><issn>1614-7499</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kU1vFSEUhkmjaa-1f6ALQ-KmGyoHmA_cmZtWjTVtjK4JwxzaaWbgCjM3Vf-8XG_VxIUrksNzngPnJeQU-Dlw3rzKALKqGRec8aYWwB4OyApqUKxRWj8hK66VYiCVOiLPcr7nhdSiOSRHEvSOa1fkxyfcDnmYh3BL5zukGLZDimHCMNuRfli-B5wzdUvaIo2e3nwU5xV1MbgCJDsPMbymxdBjqVCf4kQ3CT26eUnIRtziSG3oqe1iEbgyB_POs74bgn1Onno7Zjx5PI_Jl8uLz-t37Or67fv1myvmVA0zk577vlW2EwhW9iChq7TzTdtXnXegRGdbrXoJ2Pu2hq7zQmrrfOub2lr08pic7b2bFL8umGczDdnhONqAcclGKAmtqhoBBX35D3oflxTK64yQLeiqEiAKJfaUSzHn8l-zScNk0zcD3OyiMftoTFm4-RWNeShNLx7VSzdh_6fldxYFkHsgl6twi-nv7P9ofwLFNpwM</recordid><startdate>20200301</startdate><enddate>20200301</enddate><creator>Wang, Yongpei</creator><creator>Komonpipat, Supak</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</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>7QL</scope><scope>7SN</scope><scope>7T7</scope><scope>7TV</scope><scope>7U7</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>L.-</scope><scope>M0C</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7N</scope><scope>P64</scope><scope>PATMY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>7S9</scope><scope>L.6</scope></search><sort><creationdate>20200301</creationdate><title>Revisiting the environmental Kuznets curve of PM2.5 concentration: evidence from prefecture-level and above cities of China</title><author>Wang, Yongpei ; Komonpipat, Supak</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c461t-3f0fd84ab2e1a3d131b59cf78d5bfc142ba894d31edf861bbf239acf8f76aaef3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Air Pollutants - analysis</topic><topic>Air Pollution - analysis</topic><topic>Aquatic Pollution</topic><topic>Atmospheric Protection/Air Quality Control/Air Pollution</topic><topic>Beijing</topic><topic>China</topic><topic>Cities</topic><topic>Consumption</topic><topic>Earth and Environmental Science</topic><topic>Economic development</topic><topic>Economic growth</topic><topic>economic structure</topic><topic>Economics</topic><topic>Ecotoxicology</topic><topic>electric energy consumption</topic><topic>Electricity consumption</topic><topic>Environment</topic><topic>Environmental Chemistry</topic><topic>Environmental Health</topic><topic>Environmental Kuznets curve</topic><topic>Environmental Monitoring</topic><topic>Environmental quality</topic><topic>Environmental science</topic><topic>foreign direct investment</topic><topic>Hypotheses</topic><topic>Impact analysis</topic><topic>Income distribution</topic><topic>Municipalities</topic><topic>Parameter estimation</topic><topic>Particulate matter</topic><topic>Particulate Matter - analysis</topic><topic>Per capita</topic><topic>Population</topic><topic>Research Article</topic><topic>Smog</topic><topic>smog pollution</topic><topic>Urbanization</topic><topic>Waste Water Technology</topic><topic>Water Management</topic><topic>Water Pollution Control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Yongpei</creatorcontrib><creatorcontrib>Komonpipat, Supak</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>Bacteriology Abstracts (Microbiology B)</collection><collection>Ecology Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Pollution Abstracts</collection><collection>Toxicology Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>One Business (ProQuest)</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Environmental science and pollution research international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Yongpei</au><au>Komonpipat, Supak</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Revisiting the environmental Kuznets curve of PM2.5 concentration: evidence from prefecture-level and above cities of China</atitle><jtitle>Environmental science and pollution research international</jtitle><stitle>Environ Sci Pollut Res</stitle><addtitle>Environ Sci Pollut Res Int</addtitle><date>2020-03-01</date><risdate>2020</risdate><volume>27</volume><issue>9</issue><spage>9336</spage><epage>9348</epage><pages>9336-9348</pages><issn>0944-1344</issn><eissn>1614-7499</eissn><abstract>In this paper, the panel data of China’s four municipalities and 223 prefecture-level cities were used to investigate whether the EKC hypothesis for urban PM2.5 concentration was satisfied, considering such factors as urbanization population, electricity consumption, innovation capacity, and foreign direct investment in the cities. Assuming that the level of economic development directly affects the PM2.5 concentration, and the PM2.5 concentration will continue to increase at the early stage. Once the urban economy develops to a certain extent, the PM2.5 concentration will start to decline, and the environmental quality will be improved. Therefore, we attempt to construct the standard EKC by incorporating the quadratic and cubic terms of GDP per capita. The empirical results show that, except for the four municipalities of Beijing, Tianjin, Shanghai, and Chongqing, economic growth has a complex impact on PM2.5 concentration in most cities during the study period, rather than a simple inverted U-shaped pattern. Moreover, only in recent years has smog pollution shown an average decrease. But if the sources of smog are difficult to explore, it is worth considering the possibility of adjusting economic structure to meet environmental targets.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>31916148</pmid><doi>10.1007/s11356-020-07621-x</doi><tpages>13</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0944-1344
ispartof Environmental science and pollution research international, 2020-03, Vol.27 (9), p.9336-9348
issn 0944-1344
1614-7499
language eng
recordid cdi_proquest_miscellaneous_2431845721
source MEDLINE; SpringerLink Journals - AutoHoldings
subjects Air Pollutants - analysis
Air Pollution - analysis
Aquatic Pollution
Atmospheric Protection/Air Quality Control/Air Pollution
Beijing
China
Cities
Consumption
Earth and Environmental Science
Economic development
Economic growth
economic structure
Economics
Ecotoxicology
electric energy consumption
Electricity consumption
Environment
Environmental Chemistry
Environmental Health
Environmental Kuznets curve
Environmental Monitoring
Environmental quality
Environmental science
foreign direct investment
Hypotheses
Impact analysis
Income distribution
Municipalities
Parameter estimation
Particulate matter
Particulate Matter - analysis
Per capita
Population
Research Article
Smog
smog pollution
Urbanization
Waste Water Technology
Water Management
Water Pollution Control
title Revisiting the environmental Kuznets curve of PM2.5 concentration: evidence from prefecture-level and above cities of China
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-08T02%3A17%3A30IST&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=Revisiting%20the%20environmental%20Kuznets%20curve%20of%20PM2.5%20concentration:%20evidence%20from%20prefecture-level%20and%20above%20cities%20of%20China&rft.jtitle=Environmental%20science%20and%20pollution%20research%20international&rft.au=Wang,%20Yongpei&rft.date=2020-03-01&rft.volume=27&rft.issue=9&rft.spage=9336&rft.epage=9348&rft.pages=9336-9348&rft.issn=0944-1344&rft.eissn=1614-7499&rft_id=info:doi/10.1007/s11356-020-07621-x&rft_dat=%3Cproquest_cross%3E2381955212%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=2381955212&rft_id=info:pmid/31916148&rfr_iscdi=true