基于“目标—路径—工具—评价”框架的生态环境分区管制政策研究——以重庆市为例

Research on the Policy of Eco-Environmental Zoning Management Based on the Framework of “Target-Path-Tool-Evaluation” —Taking Chongqing as an Example

中文关键词:  生态环境分区管制  政策工具  政策传导  PMC指数  重庆市

英文关键词:eco-environmental zoning management  policy tools  policy transmission  PMC index  Chongqing

中文摘要:

      生态环境分区管制政策是实现生态保护与经济发展协同的重要抓手。本研究基于2010年全国主体功能区划颁布以来的生态环境分区管制政策，构建“目标—路径—工具—评价”分析框架，结合文本挖掘与Policy Modeling Consistency（ PMC）指数模型对8项典型政策进行系统分析。结果表明，政策目标兼具宏观的战略性和微观的具体性，并通过制度传导、内容传导与边界传导产生外部影响与跨界影响；政策工具从命令控制主导转向多元共治，治理效能提升； PMC指数评价显示政策整体合理（均值6.00），但优秀级政策（ P8）在目标协同性、工具多样性上表现突出，可接受级政策（ P3、P7）存在时效性短板。其中4项政策曲面形态内部表现较为平滑，2项凹凸程度较大，剩余形态起伏最大。最后，从法律保障、经济投入、技术支撑及配套政策四个方面提出优化路径，为完善分区管制体系提供理论与实践支撑。

英文摘要:

      The eco-environmental zoning management policy is an important starting point for realizing the coordination of ecological protection and economic development. Based on the eco-environmental zoning management policy promulgated since the 2010 national main functional zoning, this study constructs the “target-path-tool-evaluation” analysis framework, and combines text mining and PMC index model to systematically analyze eight typical policies. The results show that the policy objectives are both macro-strategic and microspecific, and produce external and cross-border effects through institutional transmission, content transmission and boundary transmission; the policy tools have shifted from command control to multi-governance, improving governance efficiency. The PMC index evaluation shows that the policy is reasonable as a whole（mean 6.00）, but the excellent policy（P8） is outstanding in target synergy and tool diversity, and the acceptable policy（P3, P7） has timeliness shortcomings. Among them, the internal performance of four policy surface forms is relatively smooth, two of them have a large degree of concave and convex, and the remaining forms have the largest fluctuation. Finally, from the four aspects of legal protection, economic investment, technical support and supporting policies, the optimization path is proposed to provide theoretical and practical support for improving the zoning management system.