摘要
将2014年湖南省长株潭地区的重金属污染耕地修复综合治理试点作为一个准自然实验,综合运用SBM-Undesirable模型和双重差分方法分析重金属污染耕地治理对区域绿色发展的影响效应。结果表明:(1)理论上看,重金属污染耕地治理通过绿色政策供给、绿色技术创新、绿色资金支持和绿色红利外溢而影响区域绿色发展水平;(2)长株潭地区重金属污染耕地治理显著促进了区域绿色发展,从双重差分结果来看,2014年长株潭地区的重金属污染耕地治理实践对区域绿色发展的贡献率为17.7%,且通过了平行趋势假设检验和反事实检验。(3)重金属污染耕地治理对区域绿色发展的促进效应受到农村经济发展水平、技术创新能力和耕地资源禀赋的显著影响。为更好地保持、提升重金属污染耕地治理的绿色效应,应该根据国家治理现代化的基本要求,采取多元化手段完善重金属污染耕地治理体系,提升重金属污染耕地治理能力。
This paper took the pilot project of the treatment of heavy metal-contaminated cultivated land(THMCL) in Chang-Zhu-Tan region in 2014 as a quasi-natural experiment, and empirically tested the green development effect of the THMCL by SBM-Undesirable model and Difference-in-Difference Method. The results show that:(1) theoretically, the THMCL affects the level of regional green development from the following four aspects, green policy supply, green technology innovation, green capital support, and green bonus spillover.(2) the pilot project of the THMCL in Chang-Zhu-Tan region has significantly promoted the regional green development. Results of Difference-in-Difference model shows that the contribution rate of this treatment practice is 17.7%, which has passed the parallel trend assumption and counterfactual test.(3) the promotion effect of the THMCL on green development is influenced by the level of rural economics, technological innovation ability and cultivated land resource endowment. To improve the system of the THMCL and enhance the ability of the THMCL, China should take diversified measures based on the basic requirements of national governance modernization.
作者
范翔宇
匡兵
卢新海
FAN Xiang-yu;KUANG Bing;LU Xin-hai(College of Public Administration,Central China Nomial University,Wuhan 430079,China;Institute of Nature Resources Governance,Central China Normal University,Wuhan 430079,China)
出处
《长江流域资源与环境》
CAS
CSSCI
CSCD
北大核心
2021年第9期2277-2286,共10页
Resources and Environment in the Yangtze Basin
基金
国家自然科学基金项目(71673096,41801205,41901256)
教育部人文社会科学研究青年项目(19YJC790054)
中国博士后科学基金第13批特别资助项目(2020T130234)
华中师范大学中央高校基本科研业务费项目(CCNU19TD004,CCNU20QN036)。
