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Regional differences of pollution emissions in China: contributing factors and mitigation strategies

机译:中国污染排放的区域差异:影响因素和缓解策略

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摘要

Pollution emissions have become a matter of public concern in recent years. However, the vast majority of existing researches on PM2.5 pollution are from the natural science perspective, and few studies have been conducted from an economic point of view. This paper adopts provincial panel data from 2001 to 2012 and panel data models to analyze the key driving forces of PM2.5 emissions at the regional level in China. The results show that economic growth is a decisive factor of PM2.5 emissions. The impacts of urbanization on PM2.5 emissions vary across regions and decrease continuously from the central region to the western and eastern regions. The effects of private cars and coal consumption on PM2.5 emissions in the eastern region are greater than that in the central and western regions because of significant differences in R&D investment, private car ownership and total coal consumption. Energy efficiency improvement has greater potential to mitigate PM2.5 emissions in the central and western regions than that in the eastern region due to its low level of technology. Hence, in order to effectively reduce emissions, the Chinese government should consider all these factors as well as regional heterogeneity in developing appropriate mitigation policies. (C) 2015 Elsevier Ltd. All rights reserved.
机译:近年来,污染排放已成为公众关注的问题。但是,现有的绝大多数关于PM2.5污染的研究都是从自然科学的角度出发的,从经济学的角度来看,进行的研究很少。本文采用2001年至2012年的省级面板数据和面板数据模型来分析中国区域层面PM2.5排放的主要驱动力。结果表明,经济增长是PM2.5排放的决定性因素。城市化对PM2.5排放的影响因地区而异,并且从中部地区向西部和东部地区不断减少。东部地区的私家车和煤炭消费对PM2.5排放的影响大于中西部地区,这是因为研发投资,私家车拥有量和总煤炭消费存在显着差异。由于技术水平较低,提高能效在中西部地区比在东部地区具有更大的潜力来减少PM2.5排放。因此,为了有效减少排放,中国政府在制定适当的缓解政策时应考虑所有这些因素以及区域异质性。 (C)2015 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Journal of Cleaner Production》 |2016年第2期|1454-1463|共10页
  • 作者

    Xu Bin; Lin Boqiang;

  • 作者单位

    Jiangxi Univ Finance & Econ, Sch Stat, Nanchang 330013, Jiangxi, Peoples R China|Jiangxi Univ Finance & Econ, Res Ctr Appl Stat, Nanchang 330013, Jiangxi, Peoples R China;

    Minjiang Univ, Newhuadu Business Sch, Fuzhou 350108, Fujian, Peoples R China|Xiamen Univ, China Inst Studies Energy Policy, Collaborat Innovat Ctr Energy Econ & Energy Polic, Fujian 361005, 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 emissions; STIRPAT model; Panel data models;

    机译:PM2.5排放量;STIRPAT模型;面板数据模型;
  • 入库时间 2022-08-17 13:46:43

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