摘要
【目的】本文旨在对低碳试点政策进行多维度量化评估,为低碳试点政策的制定和优化提供更有效的依据,助力“双碳”目标实现。【方法】基于政策文本视角,通过文本挖掘得到低碳试点主题词,进而构建PMC(Policy Modeling Consistency)指数模型,对中国128项低碳试点政策进行多维度量化评估。【结果】研究发现:(1)低碳试点政策整体设计较好,平均PMC指数为5.69,属良好级。2010—2018年间PMC指数和政策回应力度指数均值呈上升趋势。(2)不同试点政策的设计水平存在较大差异,PMC指数标准差为1.89,非优秀类政策占比高达57.03%,存在长期规划较少、政策级别和效力级别不够高、激励保障不足、对科技重视不够等突出问题。(3)中央政府制定的低碳试点政策PMC指数均值高于地方政策,大部分中央政策属于良好级,但地方政策回应力度指数高于中央政策,且优秀类政策以地方政策为主,可接受类政策的政策质量和回应力度指数都有待提升。(4)由于重要试点城市政策的参与对象较明确、政策功能更完善、激励保障制度更健全,其PMC指数均值高于全样本和地方政策,重要试点城市的政策为其他城市优化试点政策提供了指引。【结论】未来应从明确参与对象、完善政策功能和激励保障、增强政策时效性以及推进低碳法律体系建设入手,优化和提升低碳试点政策。
[Objective] This study conducted a multidimensional quantitative evaluation of pilot low-carbon policies to provide a more effective basis for the formulation and optimization of such policies,and help achieve the dual carbon goals.[Methods] Based on the policy text,text mining was used to obtain low-carbon pilot keywords,and then the PMC index model was constructed to conduct a multidimensional quantitative evaluation of 128 pilot low-carbon policies in China.[Results] The results show that:(1) The overall design of pilot low-carbon policies was good,and the average PMC index was 5.69,which belongs to the good level.The average values of the PMC index and policy response strength index showed an increasing trend from 2010 to 2018.(2) There were great differences in the design level of different pilot policies,as shown by the standard deviation of PMC index was 1.89.The proportion of non-excellent policies was as high as 57.03%,and there were some prominent problems involving lack of long-term planning,low policy level and effectiveness level,insufficient incentive guarantee,and insufficient attention to science and technology.(3) The average PMC index values of pilot low-carbon policies developed by the central government was higher than that of local policies.Most of the central policies were good,but the response intensity index values of local policies were higher than that of the central policies,and excellent policies were dominated by local policies.Both the policy quality and response intensity index of acceptable policies need to be improved.(4) The average PMC index values of the policies of important pilot cities was higher than that of the whole sample and local policies,because the participants of important pilot city policies were clearer,the policy functions were more perfect,and the incentive guarantee system was more sound.The policies of important pilot cities provide a guidance for other cities to optimize the pilot policies.[Conclusion] In the future,pilot low-carbon policies should be optimiz
作者
邓翔
彭杰
DENG Xiang;PENG Jie(School of Economics,Sichuan University,Chengdu 610065,China)
出处
《资源科学》
CSSCI
CSCD
北大核心
2023年第3期652-667,共16页
Resources Science
基金
四川大学“双一流”建设项目(2020skxp-py06)。
