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...
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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 |
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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 - 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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> |
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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 |
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