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Driving force heterogeneity of urban PM2.5 pollution: Evidence from the Yangtze River Delta, China

机译:城市PM2.5污染的推动力异质性:来自中国长江三角洲的证据

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摘要

As one of the largest metropolitan regions in the world and the most dynamic urban agglomeration in China, the air pollution in the Yangtze River Delta (YRD) is attracting attentions. This paper examined the driving factors of PM2.5 pollution of 26 prefecture-level cities in the YRD from 2006 to 2016, based on the perspective of population development and its three factors: population size, population quality, and population structure. The quantile regression model was applied to systematically investigate the heterogeneity of the causes of urban PM2.5 pollution under different quantile levels. The empirical results showed that the increase of urbanization rate (a representative indicator of population size) and the urban disposable income per capita (a representative indicator of population quality) significantly reduced the PM2.5 pollution. The PM2.5 emissions increased correspondingly with the expansion of population structure indicators. Moreover, the effects of population development on the PM2.5 pollution in YRD cities had both homogeneity and heterogeneity. The homogeneity was supported by the fact that the impacts of most population variables decreased with increasing quantile level. This indicated that the PM2.5 pollution was more sensitive to population development when the pollution level was low. The heterogeneity relied on two aspects: firstly, the key driving factors of PM2.5 pollution differed in cities with same pollution level; secondly, with increasing pollution levels, the impacts of different population development factors on PM2.5 pollution presented different trends. Policy recommendations from the perspective of population development are provided for prefecture-level cities to control PM2.5 pollution.
机译:作为世界上最大的大都市区之一,也是中国最具活力的城市集中之一,长江三角洲(YRD)的空气污染是吸引注意。本文根据人口发展及其三个因素的视角,研究了2006年至2016年截至2016年的26个地区城市的PM2.5污染的推动因素及其三个因素:人口规模,人口质量和人口结构。应用分量回归模型以系统地调查不同分位数水平下城市PM2.5污染原因的异质性。实证结果表明,城市化率(人口大小的代表指标)和人均城市一次性收入(人口质量代表性指标)的增加显着降低了PM2.5污染。 PM2.5排放相应地增加了人口结构指标的扩大。此外,人口发展对YRD城市的PM2.5污染的影响均具有均匀性和异质性。通过增加量子水平的增加,大多数人口变量的影响降低了同质性。这表明当污染水平低时,PM2.5污染对人口发展更敏感。异质性依赖于两个方面:首先,PM2.5污染的关键驱动因子在具有相同污染水平的城市中不同;其次,随着污染水平的增加,不同人口发展因素对PM2.5污染的影响提出了不同的趋势。从人口发展角度提供政策建议,为县级城市提供控制PM2.5污染。

著录项

  • 来源
    《Ecological indicators》 |2020年第6期|106210.1-106210.8|共8页
  • 作者单位

    Anhui Jianzhu Univ Sch Econ & Management Hefei 230601 Anhui Peoples R China;

    Anhui Jianzhu Univ Sch Econ & Management Hefei 230601 Anhui Peoples R China;

    Nanjing Univ Sci & Technol Sch Environm & Biol Engn Xiao Ling Wei 200 Nanjing 210094 Jiangsu Peoples R China;

    Hefei Univ Technol Sch Management Hefei 230009 Anhui Peoples R China;

    Anhui Jianzhu Univ Sch Environm & Energy Engn Hefei 230601 Anhui Peoples R China;

    Anhui Jianzhu Univ Sch Environm & Energy Engn Hefei 230601 Anhui Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    PM2.5 pollution; Population development; Quantile regression model; Heterogeneity;

    机译:PM2.5污染;人口发展;定量回归模型;异质性;

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