基于PMC指数模型的黄河流域生态补偿政策量化评价

程梦芝; 方永恒

doi:10.13961/j.cnki.stbctb.2024.03.012

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基于PMC指数模型的黄河流域生态补偿政策量化评价

试验研究

- 基于PMC指数模型的黄河流域生态补偿政策量化评价
- Quantitative Evaluation of Ecological Compensation Policy in Yellow River Basin Based on PMC Index Model
- 水土保持通报 2024年44卷第3期页码：104-112
- 作者机构：
  
  西安建筑科技大学公共管理学院,陕西,西安,710055
- 作者简介：
- 基金信息：
  
  国家自然科学基金面上项目“黄河流域文化与旅游产业协同集聚优势格局形成机理及政策研究”(72274149);陕西省社会科学基金项目“关中平原城市群文旅融合一体化发展研究”(2022D021)
- DOI：10.13961/j.cnki.stbctb.2024.03.012
  中图分类号： X321
- 纸质出版：2024
- 稿件说明：
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程梦芝, 方永恒. 基于PMC指数模型的黄河流域生态补偿政策量化评价[J]. 水土保持通报, 2024,44(3):104-112.

Cheng Mengzhi, Fang Yongheng. Quantitative Evaluation of Ecological Compensation Policy in Yellow River Basin Based on PMC Index Model[J]. Bulletin of Soiland Water Conservation, 2024, 44(3): 104-112.
程梦芝, 方永恒. 基于PMC指数模型的黄河流域生态补偿政策量化评价[J]. 水土保持通报, 2024,44(3):104-112. DOI： 10.13961/j.cnki.stbctb.2024.03.012.

Cheng Mengzhi, Fang Yongheng. Quantitative Evaluation of Ecological Compensation Policy in Yellow River Basin Based on PMC Index Model[J]. Bulletin of Soiland Water Conservation, 2024, 44(3): 104-112. DOI： 10.13961/j.cnki.stbctb.2024.03.012.

摘要

[目的] 生态补偿政策的有效推进对黄河流域生态环境保护和高质量发展发挥着重要作用。对黄河流域生态补偿政策进行梳理和科学评价，旨在促进生态补偿政策的进一步优化与完善。[方法] 基于黄河流域9省(区)2001—2022年颁布的170份生态补偿政策文本，利用ROSTCM软件和政策一致性(PMC)指数模型，构建生态补偿政策社会网络图谱和量化评价指标体系；选取9项生态补偿政策为研究对象，使用文本挖掘和内容分析方法，通过PMC指数测量、凹陷指数计算、PMC曲面绘制等量化评价所选政策各维度的情况。[结果] 评价的9项黄河流域生态补偿政策整体质量较高，6项评价结果为优秀，3项为良好；所选9项政策在政策性质、政策措施、政策评价、政策保障等方面得分较高，而在政策设计、政策目标、政策内容等方面得分偏低。[结论] 黄河流域生态补偿政策的设计和内容有待完善，且忽略了政策目标在生态治理中的重要作用；应从制定长短时期相结合的政策规划，探索多元化补偿方式，提升对“补偿标准”和“资金监管”的关注度等方面进一步优化。

Abstract

[Objective] The effective promotion of ecological compensation policies will play an important role in ecological and environmental protection and high-quality development of the Yellow River basin. The sorting and scientific evaluation of ecological compensation policies in the Yellow River basin were conducted to further optimize and improve ecological compensation policies. [Methods] Based on 170 ecological compensation policy texts promulgated by nine provinces (districts) in the Yellow River basin from 2001 to 2022

a social network graph and quantitative evaluation index system of ecological compensation policies were implemented using the data analysis software ROSTCM and the policy modeling consistency (PMC) index model. Nine ecological compensation policies served as research objects. Text mining and content analysis methods were used to evaluate each dimension of the selected policies through the PMC index measurement

the depression index calculation

and PMC surface drawing. [Results] The overall quality of the nine ecological compensation policies evaluated in the Yellow River basin proved to be higher. Six of the evaluation results were excellent

and three were good. All nine policies scored high in terms of policy nature

policy measures

policy evaluation

and policy guarantee

but scored lower in policy design

policy objectives

and policy content. [Conclusion] The design and content of ecological compensation policies in the Yellow River basin need to be improved

and the important role of policy objectives in ecological governance has been overlooked. Further optimization should be made in terms of formulating a policy plan that combines long and short periods

exploring diversified compensation methods

and increasing attention to both compensation standards and fund supervision.

关键词

Keywords

references

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