基于全过程治理的环境规制减排机制研究——来自长江经济带数据的实证检验

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Abstract Based on the panel data of 11 provinces and cities in the Yangtze River Economic Belt from 2007 to 2017, we used mediation effect model to explore emission reduction mechanisms of the government-led and market-incentive environmental regulations from the perspective of whole-process prevention. Both the government-led and the market-incentive environmental regulations, with impact coefficients of -0.154 and -0.209, respectively, significantly suppressed SO₂ emissions. The government-led environmental regulation had played a significant role in reducing emissions during the process of source prevention, process control and end treatment, while the market-incentive environmental regulation only acted on emission reduction in the process of end treatment. Therefore, although market-incentive environmental regulation is low-cost and high-efficiency, since played by the source prevention and process control plays a fundamental role in eco-environmental protection, it is still necessary for less developed areas and industries to pay attention to government-led environmental regulation, i.e., to implement regional-specific and scientific environmental regulation tools, to local conditions to control the pollution throughout the process.

Key words： environmental regulation whole-process prevention mediation effect Yangtze River Economic Belt

Received: 09 April 2020

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X321

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	SHEN Xiao-mei
	YU Xin-xin
	JIANG Ming-dong
	WANG Lei

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SHEN Xiao-mei,YU Xin-xin,JIANG Ming-dong等. Emission reduction mechanism of environmental regulation from a perspective of whole-process prevention: Evidences from the Yangtze River Economic Belt[J]. CHINA ENVIRONMENTAL SCIENCECE, 2020, 40(12): 5561-5568.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2020/V40/I12/5561

[1]	尤济红,高志刚.政府环境规制对能源效率影响的实证研究—以新疆为例[J]. 资源科学, 2013,35(6):1211-1219. You J H, Gao Z G. Can government environmental regulations be good for energy efficiency?—an empirical study in Xinjiang[J]. Resources Science, 2013,35(6):1211-1219.
[2]	黄志基,贺灿飞,杨帆,等.中国环境规制、地理区位与企业生产率增长[J]. 地理学报, 2015,70(10):1581-1591. Huang Z J, He C F, Yang F, et al. Environmental regulation, geographic location and growth of firms' productivity in China[J]. Acta Geographica Sinica, 2015,70(10):1581-1591.
[3]	Chang Y C, Wang N N. Environmental regulations and emissions trading in China[J]. Energy Policy, 2010,38(7):3356-3364.
[4]	张倩.市场激励型环境规制对不同类型技术创新的影响及区域异质性[J]. 产经评论, 2015,6(2):36-48. Zhang Q. Impact of market-based incentive environmental regulations on different types of technology innovation[J]. Industrial Economic Review, 2015,6(2):36-48.
[5]	曾倩,曾先峰,刘津汝.产业结构视角下环境规制工具对环境质量的影响[J]. 经济经纬, 2018,35(6):94-100. Zeng Q, Zeng X F, Liu J R. Effects of environmental regulation tools on environmental quality from the perspective of industrial structure[J]. Economic Survey, 2018,35(6):94-100.
[6]	杨仁发,李娜娜.环境规制与中国工业绿色发展:理论分析与经验证据[J]. 中国地质大学学报(社会科学版), 2019,19(5):79-91. Yang R F, Li N N. Environmental regulation and green industrial development of China:theoretical analysis and empirical evidence[J]. Journal of China University of Geosciences (Social Sciences Edition), 2019,19(5):79-91.
[7]	朱向东,贺灿飞,刘海猛,等.环境规制与中国城市工业SO2减排[J]. 地域研究与开发, 2018,37(4):131-137. Zhu X D, He C F, Liu H M, et al. Environmental regulation and urban industrial SO2 emission reduction in China[J]. Areal Research and Development, 2018,37(4):131-137.
[8]	申晨,李胜兰,黄亮雄.异质性环境规制对中国工业绿色转型的影响机理研究—基于中介效应的实证分析[J]. 南开经济研究, 2018,(5):95-114. Shen C, Li S L, Huang L X. Different types of environmental regulation and the green transformation of chinese industry:path selection and mechanism analysis[J]. Nankai Economic Studies, 2018, (5):95-114.
[9]	白露,白永秀,薛耀文,等.循环经济"拐点":理论与实证研究[J]. 经济评论, 2007,(5):58-64. Bai L, Bai Y X, Xue Y W, et al. The "inflection point" of circular economy:theoretical and empirical research[J]. Economic Review, 2007,(5):58-64.
[10]	张天柱.从清洁生产到循环经济[J]. 中国人口·资源与环境, 2006, (6):169-174. Zhang T Z. From Cleaner production to circular economy[J]. China Population, Resources and Environment, 2006,(6):169-174.
[11]	刘伟明.环境污染的治理路径与可持续增长:"末端治理"还是"源头控制"?[J]. 经济评论, 2014,(6):41-53,77. Liu W M. Environmental pollution, abatement path and sustainable growth:"end-of-pipe control" or "source control"?[J]. Economic Review, 2014,(6):41-53,77.
[12]	Hang Y, Wang Q W, Wang Y Z, et al. Industrial SO2 emissions treatment in China:a temporal-spatial whole process decomposition analysis[J]. Journal of environmental management, 2019,(243):419-434.
[13]	Baron R M, Kenny D A. The moderator-mediator variable distinction in social psychological research:Conceptual, strategic, and statistical considerations[J]. Journal of Personality and Social Psychology, 1986,51(6):1173-1182.
[14]	温忠麟,叶宝娟.中介效应分析:方法和模型发展[J]. 心理科学进展, 2014,22(5):731-745. Wen Z L, Ye B J. Analysis of mediating effects:development of methods and models[J]. Advances in Psychological Science, 2014, 22(5):731-745.
[15]	温忠麟,刘云红,侯杰泰.调节效应和中介效应分析[M]. 北京:教育科学出版社, 2012. Wen Z L, Liu Y H, Hou J T. Analysis of regulation effect and mediation effect[M]. Beijing:Education Science Press, 2012.
[16]	Shrout, Patrick E, Bolger, Niall. Mediation in experimental and nonexperimental studies:New procedures and recommendations[J]. Psychological Methods, 2002,7(4):422-445.
[17]	国家统计局.中国统计年鉴[M]. 北京:中国统计出版社, 2008-2018. National Bureau of Statistics. China statistical yearbook[M]. Beijing:China Statistics Press, 2008-2018.
[18]	黄滢,刘庆,王敏.地方政府的环境治理决策:基于SO2减排的面板数据分析[J]. 世界经济, 2016,39(12):166-188. Huang Y, Liu Q, Wang M. Environmental policies of local governments:an panel data analysis of SO2 abatement[J]. The Journal of World Economy, 2016,39(12):166-188.
[19]	国家统计局.中国环境统计年鉴[M]. 北京:中国统计出版社, 2008-2018. National Bureau of Statistics. China statistical yearbook on environment[M]. Beijing:China Statistics Press, 2008-2018.
[20]	张江雪,蔡宁,杨陈.环境规制对中国工业绿色增长指数的影响[J]. 中国人口·资源与环境, 2015,25(1):24-31. Zhang J X, Cai N, Yang C. Impact of environmental regulation on green growth index of industry in China[J]. China Population, Resources and Environment, 2015,25(1):24-31.
[21]	《中国环境年鉴》编委会.中国环境年鉴[M]. 北京:中国环境年鉴社, 2008-2018. China Environmental Yearbook Editorial Committee. China environmental yearbook[M]. Beijing:China Environmental Yearbook Press, 2008-2018.
[22]	钟茂初,李梦洁,杜威剑.环境规制能否倒逼产业结构调整——基于中国省际面板数据的实证检验[J]. 中国人口·资源与环境, 2015, 25(8):107-115. Zhong M C, Li M J, Du W J. Can environmental regulation force industrial structure adjustment:an empirical analysis based on provincial panel data[J]. China Population, Resources and Environment, 2015,25(8):107-115.
[23]	孙玉阳,宋有涛.环境规制对产业区域转移正负交替影响研究—基于污染密集型产业[J]. 经济问题探索, 2018,(9):132-139. Sun Y Y, Song Y T. Research on the impact of environmental regulation on the positive and negative alternation of industrial regional transfer—based on pollution-intensive industries[J]. Inquiry into Economic Issues, 2018,(9):132-139.
[24]	国家统计局.中国工业统计年鉴[M]. 北京:中国统计出版社, 2013-2017. National Bureau of Statistics. China industrial statistics yearbook[M]. Beijing:China Statistics Press, 2013-2017.
[25]	王远,王春春,赵静,等.江苏省SO2排放环境库茨涅茨关系研究——基于半参数面板数据模型分析[J]. 中国环境科学, 2016, 36(10):3143-3149. Wang Y, Wang C C, Zhao J, et al. Investigating the environmental kuznets curve hypothesis for SO2 emissions in Jiangsu Province:a semiparametric panel data analysis[J]. China Environmental Science, 2016,36(10):3143-3149.
[26]	国家统计局.中国城市统计年鉴[M]. 北京:中国统计出版社, 2008-2018. National Bureau of Statistics. China city statistical yearbook[M]. Beijing:China Statistics Press, 2008-2018.
[27]	国家统计局.中国工业经济统计年鉴[M]. 北京:中国统计出版社, 2008-2012. National Bureau of Statistics. China industrial econmony statistics yearbook[M]. Beijing:China Statistics Press, 2008-2012.
[28]	汪克亮,孟祥瑞,杨力,等.我国主要工业省区大气污染排放效率的地区差异、变化趋势与成因分解[J]. 中国环境科学, 2017,37(3):888-898. Wang K L, Meng X R, Yang L, et al. The regional differences, changing trends and causes decomposition of atmospheric pollution emission efficiency of China's major industrial provinces[J]. China Environmental Science, 2017,37(3):888-898.
[29]	徐妍,郭品.房价、资源错配与企业创新——基于房价效率因素和非效率因素的分析[J]. 经济问题, 2019,(7):16-28. Xu Y, Guo P. House price, resource misallocation and enterprise innovation:analysis based on housing price efficiency factors and non-efficiency factors[J]. On Economic Problems, 2019,(7):16-28.
[30]	王永钦,杜巨澜,王凯.中国对外直接投资区位选择的决定因素:制度、税负和资源禀赋[J]. 经济研究, 2014,49(12):126-142. Wang Y Q, Du J L, Wang K. Determinants of China's ODI:institutions, tax Burdens and resource endowments[J]. Economic Research Journal, 2014,49(12):126-142.
[31]	邱海洋.共享能力对区域创新效率影响的实证检验[J]. 统计与决策, 2019,35(4):105-108. QU H Y. An empirical test of the impact of sharing ability on regional innovation efficiency[J]. Statistics & Decision, 2019,35(4):105-108.
[32]	秦炳涛,葛力铭.中国高污染产业转移与整体环境污染—基于区域间相对环境规制门槛模型的实证[J]. 中国环境科学, 2019,39(8):3572-3584. Qin B T, Ge L M. Whether the transfer of highly polluting industries in China aggravates environmental pollution—empirical analysis based on the threshold model of relative environmental regulation strength[J]. China Environmental Science, 2019,39(8):3572-3584.
[33]	文雯,王奇.城市人口规模与环境污染之间的关系—基于中国285个城市面板数据的分析[J]. 城市问题, 2017,(9):32-38. Wen W, Wang Q. The relationship between urban population size and environmental pollution:an analysis based on panel data of 285cities in China[J]. Urban Problems, 2017,(9):32-38.
[34]	徐辉,韦斌杰,张大伟.环保投资占比最优化:基于生态效率的考量[J]. 中国环境科学, 2019,39(8):3530-3538. Xu H, Wei B J, Zhang D W. Optimizing the ratio of environmental protection investment:based on the eco-efficiency[J]. China Environmental Science, 2019,39(8):3530-3538.
[35]	国家统计局.中国科技统计年鉴[M]. 北京:中国统计出版社, 2008-2018. National Bureau of Statistics. China statistical yearbook on science and technology[M]. Beijing:China Statistics Press, 2008-2018.