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国家级节水政策的量化评价及优化路径探析
引用本文:周海炜,杨月影,王腾. 国家级节水政策的量化评价及优化路径探析[J]. 水利经济, 2022, 40(1): 47-54
作者姓名:周海炜  杨月影  王腾
作者单位:河海大学商学院,江苏南京 211100;河海大学节水管理研究中心,江苏南京 211100;江苏省世界水谷与水生态文明协同创新中心,江苏南京 211100;河海大学商学院,江苏南京 211100;河海大学节水管理研究中心,江苏南京 211100
基金项目:国家自然科学基金面上项目(71974053);国家社会科学基金重大项目(19ZDA084)
摘    要:基于PMC指数模型和文本挖掘技术构建节水政策评价体系,对我国6项典型国家级节水政策进行量化评价。结果表明,现行的国家级节水政策整体设计优秀,有一项政策评级达到完美,3项政策评级为优秀,2项政策评级为良好。我国节水政策在政策功能、持续效力、作用层面和市场机制4个方面仍存在可改进之处。在此基础上对节水政策提出充分发挥政策功能、推动权责向基层下沉、加快完善市场机制、有机结合长中短期规划4项优化建议。

关 键 词:节水政策  政策评价  PMC指数模型
收稿时间:2021-05-06

Quantitative evaluation and optimization path of national water-saving policies in China
ZHOU Haiwei,YANG Yueying,WANG Teng. Quantitative evaluation and optimization path of national water-saving policies in China[J]. Journal of Economics of Water Resources, 2022, 40(1): 47-54
Authors:ZHOU Haiwei  YANG Yueying  WANG Teng
Affiliation:Business School, Hohai University, Nanjing 211100, China;Water-saving Management Research Center of Hohai University, Nanjing 211100, China;Jiangsu Provincial Collaborative Innovation Center of World Water Valley and Water Ecological Civilization, Nanjing 211100, China
Abstract:Based on the PMC-index model and the text mining technology, an evaluation system of water-saving policy is established to conduct quantitative evaluation on six typical national water-saving policies in China. The results show that the overall design of the current water-saving policies is excellent, with one policy rated as perfect, three policies excellent and two policies good. The water-saving policies can be improved in four aspects of policy function, continuous effectiveness, action level and market mechanism. On this basis, four optimization suggestions for the water-saving policies are put forward, including giving full play to function of policies, promoting the sinking of power and responsibility to the grassroots, accelerating the improvement of the market mechanism and combining the long-, medium- and short-term planning organically.
Keywords:water-saving policy   policy evaluation   PMC-index model
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