Do driving restriction policies effectively alleviate smog pollution in China?
China has become one of the countries with the most severe smog pollution, especially in winter. Many local governments had to take various measures to combat the smog. The driving restriction is one of the policies being widely implemented throughout the country, but the actual effect has been cont...
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description | China has become one of the countries with the most severe smog pollution, especially in winter. Many local governments had to take various measures to combat the smog. The driving restriction is one of the policies being widely implemented throughout the country, but the actual effect has been controversial. Over 30 cities in China adopted the driving restriction policy in winter specifically in recent years. In this study, regression discontinuity (RD) method is applied to 16 cities to study whether the policy was effective or not and to find out the reason behind. It is found that (1) the effect has shown differences in different cities, in Cangzhou, Linfen and Shijiazhuang, the policy was effective on winter smog control, while it was ineffective in Luoyang, Tangshan, Xinyang and Zhoukou. (2) High proportion of secondary industry in GDP and inconvenient public transport system has inhibitory effect on the effectiveness of the driving policy. (3) Population density, GDP, the proportion of urban green area and driving restriction intensity have no significant impact on the effectiveness of the driving restriction policy. (4) In terms of meteorological factors, average temperature, rainfall, wind speed and air pressure have a negative impact on PM2.5, while humidity has a positive impact on PM2.5. |
doi_str_mv | 10.1007/s11356-021-16477-8 |
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Many local governments had to take various measures to combat the smog. The driving restriction is one of the policies being widely implemented throughout the country, but the actual effect has been controversial. Over 30 cities in China adopted the driving restriction policy in winter specifically in recent years. In this study, regression discontinuity (RD) method is applied to 16 cities to study whether the policy was effective or not and to find out the reason behind. It is found that (1) the effect has shown differences in different cities, in Cangzhou, Linfen and Shijiazhuang, the policy was effective on winter smog control, while it was ineffective in Luoyang, Tangshan, Xinyang and Zhoukou. (2) High proportion of secondary industry in GDP and inconvenient public transport system has inhibitory effect on the effectiveness of the driving policy. (3) Population density, GDP, the proportion of urban green area and driving restriction intensity have no significant impact on the effectiveness of the driving restriction policy. (4) In terms of meteorological factors, average temperature, rainfall, wind speed and air pressure have a negative impact on PM2.5, while humidity has a positive impact on PM2.5.</description><identifier>ISSN: 0944-1344</identifier><identifier>EISSN: 1614-7499</identifier><identifier>DOI: 10.1007/s11356-021-16477-8</identifier><identifier>PMID: 34536225</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Air Pollutants - analysis ; Air Pollution - analysis ; Air Pollution - prevention & control ; Air temperature ; Aquatic Pollution ; atmospheric pressure ; Atmospheric Protection/Air Quality Control/Air Pollution ; China ; Cities ; Earth and Environmental Science ; Ecotoxicology ; Environment ; Environmental Chemistry ; Environmental Health ; Environmental Monitoring ; Environmental science ; green infrastructure ; humidity ; industry ; issues and policy ; Local government ; Particulate matter ; Particulate Matter - analysis ; Policies ; Policy ; Pollution ; Population density ; Public transportation ; rain ; Rainfall ; Research Article ; Seasons ; Smog ; smog pollution ; temperature ; Transportation systems ; Urban areas ; Waste Water Technology ; Water Management ; Water Pollution Control ; Wind speed ; Winter</subject><ispartof>Environmental science and pollution research international, 2022-02, Vol.29 (8), p.11405-11417</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021</rights><rights>2021. 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Many local governments had to take various measures to combat the smog. The driving restriction is one of the policies being widely implemented throughout the country, but the actual effect has been controversial. Over 30 cities in China adopted the driving restriction policy in winter specifically in recent years. In this study, regression discontinuity (RD) method is applied to 16 cities to study whether the policy was effective or not and to find out the reason behind. It is found that (1) the effect has shown differences in different cities, in Cangzhou, Linfen and Shijiazhuang, the policy was effective on winter smog control, while it was ineffective in Luoyang, Tangshan, Xinyang and Zhoukou. (2) High proportion of secondary industry in GDP and inconvenient public transport system has inhibitory effect on the effectiveness of the driving policy. (3) Population density, GDP, the proportion of urban green area and driving restriction intensity have no significant impact on the effectiveness of the driving restriction policy. (4) In terms of meteorological factors, average temperature, rainfall, wind speed and air pressure have a negative impact on PM2.5, while humidity has a positive impact on PM2.5.</description><subject>Air Pollutants - analysis</subject><subject>Air Pollution - analysis</subject><subject>Air Pollution - prevention & control</subject><subject>Air temperature</subject><subject>Aquatic Pollution</subject><subject>atmospheric pressure</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>China</subject><subject>Cities</subject><subject>Earth and Environmental Science</subject><subject>Ecotoxicology</subject><subject>Environment</subject><subject>Environmental Chemistry</subject><subject>Environmental Health</subject><subject>Environmental Monitoring</subject><subject>Environmental science</subject><subject>green infrastructure</subject><subject>humidity</subject><subject>industry</subject><subject>issues and policy</subject><subject>Local 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Fei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Do driving restriction policies effectively alleviate smog pollution in China?</atitle><jtitle>Environmental science and pollution research international</jtitle><stitle>Environ Sci Pollut Res</stitle><addtitle>Environ Sci Pollut Res Int</addtitle><date>2022-02-01</date><risdate>2022</risdate><volume>29</volume><issue>8</issue><spage>11405</spage><epage>11417</epage><pages>11405-11417</pages><issn>0944-1344</issn><eissn>1614-7499</eissn><abstract>China has become one of the countries with the most severe smog pollution, especially in winter. Many local governments had to take various measures to combat the smog. The driving restriction is one of the policies being widely implemented throughout the country, but the actual effect has been controversial. Over 30 cities in China adopted the driving restriction policy in winter specifically in recent years. In this study, regression discontinuity (RD) method is applied to 16 cities to study whether the policy was effective or not and to find out the reason behind. It is found that (1) the effect has shown differences in different cities, in Cangzhou, Linfen and Shijiazhuang, the policy was effective on winter smog control, while it was ineffective in Luoyang, Tangshan, Xinyang and Zhoukou. (2) High proportion of secondary industry in GDP and inconvenient public transport system has inhibitory effect on the effectiveness of the driving policy. (3) Population density, GDP, the proportion of urban green area and driving restriction intensity have no significant impact on the effectiveness of the driving restriction policy. (4) In terms of meteorological factors, average temperature, rainfall, wind speed and air pressure have a negative impact on PM2.5, while humidity has a positive impact on PM2.5.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>34536225</pmid><doi>10.1007/s11356-021-16477-8</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-1013-9378</orcidid></addata></record> |
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subjects | Air Pollutants - analysis Air Pollution - analysis Air Pollution - prevention & control Air temperature Aquatic Pollution atmospheric pressure Atmospheric Protection/Air Quality Control/Air Pollution China Cities Earth and Environmental Science Ecotoxicology Environment Environmental Chemistry Environmental Health Environmental Monitoring Environmental science green infrastructure humidity industry issues and policy Local government Particulate matter Particulate Matter - analysis Policies Policy Pollution Population density Public transportation rain Rainfall Research Article Seasons Smog smog pollution temperature Transportation systems Urban areas Waste Water Technology Water Management Water Pollution Control Wind speed Winter |
title | Do driving restriction policies effectively alleviate smog pollution in China? |
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