Effects of the joint prevention and control of atmospheric pollution policy on air pollutants-A quantitative analysis of Chinese policy texts
Effects of the joint prevention and control of atmospheric pollution policy on air pollutants-A quantitative analysis of Chinese policy texts
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DOI：
10.1016/j.jenvman.2021.113721
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发表时间：
2021-09-17
影响因子：
8.7
通讯作者：
Xiao, Xiao
中科院分区：
文献类型：
--
作者：
Du, Huibin;Guo, Yaqian;Xiao, Xiao
大气污染联防联控政策在缓解区域污染方面发挥着重要作用。基于潜在狄利克雷分配（LDA）模型，构建了有效性和数量两个政策强度测度，考察了4类JPCAP政策的政策强度对大气污染物排放的影响。结果表明，经济激励政策工具和配套政策工具的减排效果与政策偏好存在显著偏离。经济激励政策工具在促进SO2、NOx和粉尘减排方面最有效，但实际效果最低。配套政策工具，力度最大，对减排效果不大。指挥控制政策和说服政策的数量和有效性都比较高。此外，政策力度对减少重点区域大气污染物的作用比非重点区域更重要。JPCAP政策从单一政策工具逐渐转变为多种政策工具，2015年以后政府将注意力转向提高政策的法律的有效性。最后，本文提出了一些政策建议，以优化JPCAP政策，解决区域空气污染问题。
Joint prevention and control of atmospheric pollution (JPCAP) policies play a vital role in alleviating regional pollution. Based on Latent Dirichlet Allocation (LDA) model, we construct two policy strength measures of effectiveness and number, and investigate the effects of policy strength on air pollutant emissions for four types of JPCAP policies. The results show that the effects of economic incentive policy tools and supporting policy tools on emission reduction deviate significantly from policy preferences. Economic incentive policy tools are the most effective in promoting emission reductions in SO2, NOx and dust, but their effectiveness are the lowest in reality. Supporting policy tools, with the highest strength, have little effect on emission reduction. Command-control policies and persuasion policies are both relatively high in quantity and effectiveness. In addition, policy strength plays a more important role in reducing air pollutants in key regions than in non-key regions. JPCAP policies have gradually changed from a single policy tool to multiple policy tools, and the government shifted its attention to improving the legal effectiveness of policies after 2015. Finally, we propose some policy implications to optimize JPCAP policies and address regional air pollution problem.