Effects of Different Types of Environmental Regulations on Carbon Emission Efficiency
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摘要:不同类型的环境规制会对市场的资源配置产生不同影响，进而对碳排放效率产生明显的差异作用。基于全要素视角，运用非径向、非角度的SBM超效率模型对中国2008—2016年30个省市的碳排放效率进行测算，以此为基础，探求命令控制、市场激励与自愿意识三种环境规制类型对中国不同区域碳排放效率产生影响的差异性。结果显示：（1）全国层面上，命令控制型、市场激励型与综合环境规制强度同碳排放效率间呈现“U形”变化趋势，即随着环境规制强度的增强，影响的主导力量由“倒退效应”转变为“倒逼效应”；（2）区域层面上，东部地区命令控制型平均规制水平已跨越曲线拐点，实现“倒逼效应”，但中部与西部地区尚未超过拐点值，而对于市场激励型与自愿意识型环境规制，目前各区域“倒退效应”仍处于主导地位；（3）三大区域中，东部地区依靠市场激励手段解决环境问题更有效率，而对于中部与西部地区而言，命令控制型环境规制仍处于主体地位，且能够发挥更有效的作用。针对不同地区提出选择科学的环境规制工具，制定合理的环境规制强度等政策建议。
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关键词:
- 环境规制/
- 碳排放效率/
- Undesirable-SBM超效率模型
Abstract:Different types of environmental regulations will have different impacts on the allocation of resources in the market, which in turn will lead to significant differences in carbon emissions efficiency. Based on the perspective of all factors, non-radial and non-angle SBM super-efficiency models were adopted to measure the carbon emission efficiency of 30 provinces and cities in China from 2008 to 2016. On this basis, the differences of the impacts of three types of environmental regulations on carbon emission efficiency in different regions of China were explored. The results show that:(1)At the national level, there is a "U-shaped" change trend between the intensity of command control, market incentive and comprehensive environmental regulation and carbon emission efficiency, that is, as the intensity of environmental regulation increases, the dominant force of influence changes from "retrogression effect" to "anti-driving effect". (2)At the regional level, the command-controlled average regulation level in the eastern region has crossed the inflection point of the curve, realizing the "anti-driving effect", while the value of the inflection point has not yet been exceeded in the central and western regions. At present,the "retrogression effect" is still in the dominant position for market incentives and voluntary conscious environmental regulation. (3)In the three major regions, the eastern region relies on market incentives to solve environmental problems more efficiently, while for the central and western regions, command-and-control environmental regulation is still in the dominant position and plays a more effective role. This paper puts forward policy suggestions such as choosing scientific environmental regulation tools and reasonable environmental regulation intensity for different regions. -
[1] 麦肯锡全球研究院(MGI).麦肯锡2019中国报告[EB/OL].(2020-01-06)[2020-03-01]. https://www.thepaper.cn/news Detail_forward_5391968. [2] 国际能源署(IEA). 2018全球能源和二氧化碳状况报告[R]. 纽约:联合国国际能源署,2019. [3] 谭娟,陈晓春. 基于产业结构视角的政府环境规制对低碳经济影响分析[J]. 经济学家,2011(10):91-97. [4] 赵玉民,朱方明,贺立龙. 环境规制的界定、分类与演进研究[J]. 中国人口·资源与环境,2009,19(6):85-90. [5] 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. [6] REQUATE T,UNOLD W. Environmental policy incentives to adopt advanced abatement technology[J]. European Economic Review,2003,47(1):125-146. [7] 张平,张鹏鹏,蔡国庆. 不同类型环境规制对企业技术创新影响比较研究[J]. 中国人口·资源与环境,2016,26(4):8-13. [8] 高明,陈巧辉. 不同类型环境规制对产业升级的影响[J]. 工业技术经济,2019,38(1):91-99. [9] WALTER I,UGELOW J L. Environmental policies in developing countries[J]. Journal of the Human Environment,1979,8(2-3):102-109. [10] 马海良,黄德春,姚惠泽. 技术创新、产业绩效与环境规制——基于长三角的实证分析[J]. 软科学,2012,26(1):1-5. [11] 毛建辉. 政府行为、环境规制与区域技术创新——基于区域异质性和路径机制的分析[J]. 山西财经大学学报,2019,41(5):16-27. [12] KAYA Y,YOKOBORI K. Environment,energy and economy:strategies for sustainability[M]. United Nations University Press,1997:56-59. [13] KIM Y,PARK M S,WIER B. Is earnings quality associated with corporate social responsibility?[J]. The Accounting Review,2012,87(3):761-796. [14] 刘亦文,胡宗义. 中国碳排放效率区域差异性研究——基于三阶段DEA模型和超效率DEA模型的分析[J]. 山西财经大学学报,2015,37(2):23-34. [15] 雷玉桃,杨娟. 基于SFA方法的碳排放效率区域差异化与协调机制研究[J]. 经济理论与经济管理,2014(7):13-22. [16] SINN H W. Public policies against global warming:a supply side approach[J]. International Tax Public Finance,2008,25(4):360-394. [17] 张华. "绿色悖论"之谜:地方政府竞争视角的解读[J]. 财经研究,2014,40(12):114-127. [18] 伍格致,游达明. "绿色悖论"再探析——基于经济政策不确定性视角[J]. 系统工程,2018,36(10):61-72. [19] 许广月. 碳强度俱乐部收敛性:理论与证据——兼论中国碳强度降低目标的合理性和可行性[J]. 管理评论,2013,25(4):48-58. [20] 何小钢,张耀辉. 中国工业碳排放影响因素与CKC重组效应——基于STIRPAT模型的分行业动态面板数据实证研究[J].中国工业经济,2012(1):26-35. [21] 张华,魏晓平. 绿色悖论抑或倒逼减排——环境规制对碳排放影响的双重效应[J].中国人口·资源与环境,2014,24(9):21-29. [22] 丁绪辉,张紫璇,吴凤平. 双控行动下环境规制对区域碳排放绩效的门槛效应研究[J]. 华东经济管理,2019,33(7):44-51. [23] 薛俊宁,吴佩林. 技术进步、技术产业化与碳排放效率——基于中国省际面板数据的分析[J]. 上海经济研究,2014(9):111-119. [24] ANDERSEN P,PETERSEN N C. A procedure for ranking efficient units in data envelopment analysis[J]. Management Science,1993,39(10):1261-1265. [25] 张军,吴桂英,张吉鹏. 中国省际物质资本存量估算:1952-2000[J]. 经济研究,2004,39(10):35-44. [26] 李珊珊,马艳芹. 环境规制对全要素碳排放效率分解因素的影响——基于门槛效应的视角[J]. 山西财经大学学报,2019,41(2):50-62. [27] 于向宇,李跃,陈会英,等. "资源诅咒"视角下环境规制、能源禀赋对区域碳排放的影响[J]. 中国人口·资源与环境,2019,29(5):52-60. -
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