山东科学 ›› 2025, Vol. 38 ›› Issue (2): 109-116.doi: 10.3976/j.issn.1002-4026.20240150

• 环境损害鉴定方法及技术 • 上一篇    下一篇

黄河流域下游生态环境损害赔偿与驱动因素研究

张慧颖(), 段海燕, 宋俊华, 唐小娟, 段志远*(), 黄理辉, 高振会   

  1. 山东大学 生态环境损害鉴定研究院,山东 青岛 266237
  • 收稿日期:2024-12-13 出版日期:2025-04-20 发布日期:2025-04-16
  • 通信作者: *段志远(1993—),男,助理研究员,研究方向为环境法医学。E-mail:duanzhiyuan@sdu.edu.cn,Tel:15063351923
  • 作者简介:张慧颖(2002—),女,硕士研究生,研究方向为环境法医学。E-mail:3028293021@qq.com
  • 基金资助:
    山东省自然科学基金项目(ZR2024MG027)

Study on ecological environmental damage compensation and drivers in the Lower Yellow River Basin

ZHANG Huiying(), DUAN Haiyan, SONG Junhua, TANG Xiaojuan, DUAN Zhiyuan*(), HUANG Lihui, GAO Zhenhui   

  1. Institute of Eco-Environmental Forensics, Shandong University,Qingdao 266237,China
  • Received:2024-12-13 Online:2025-04-20 Published:2025-04-16

摘要:

生态环境损害赔偿制度是推进黄河流域生态保护和高质量发展的关键制度。以黄河流域下游山东省段9个地级市2 371个生态环境损害赔偿案件为研究对象,剖析该地区案件特征,并运用LMDI模型解析案件影响因素,明确主要驱动因素的作用方向与程度,为黄河流域下游生态环境损害防控提出策略。研究表明,黄河流域下游地区大气污染的案件占比最高,达75.6%;案件赔偿强度与生态环境损害成本率是抑制案件数量增长的主要因素,其中德州市案件赔偿强度抑制效应最为显著,贡献度为-993.71%,济南市生态环境损害成本率抑制作用最强,贡献度为-301.96%;经济发展水平和人口数量对案件数量增长起正向驱动作用,但人口数量的贡献度较小,其中济宁市经济发展水平正向驱动作用最强,贡献度为23.71%。基于此,可通过促进经济绿色转型、赔偿模式多样化等措施来控制生态环境损害。研究成果有望为黄河流域下游生态环境损害赔偿制度实施提供有益借鉴。

关键词: 黄河下游地区, 对数平均迪氏指数法, 生态环境损害赔偿, 赔偿强度, 生态环境损害成本率

Abstract:

An ecological environmental damage compensation system is a key mechanism for promoting ecological protection and high-quality development in the Lower Yellow River Basin. This study focuses on 2 371 ecological environmental damage compensation cases across nine prefecture-level cities in the Lower Yellow River Basin in Shandong province, analyzes their characteristics, and uses the LMDI model to determine factors for these cases and thus identify the directions and degrees of the main drivers. The findings provide strategies for preventing and controlling ecological environmental damage in the Lower Yellow River Basin. This study reveals that air pollution cases are the highest (75.6%) in the Lower Yellow River Basin, and the compensation intensity and cost rate of ecological environmental damage are the primary factors inhibiting an increase in the number of cases. Specifically, the most notable inhibitory effect of the compensation intensity is observed in Dezhou city, with a contribution of -993.71%, while the highest inhibitory effect of the cost rate of ecological environmental damage is noticed in Jinan city, with a contribution of -301.96%. The economic development level and population size positively drive the increase in the number of cases, although the contribution of the population size to this increase is relatively small. The highest positive driving effect of the economic development level is observed in Jining city, with a contribution of 23.71%. Based on these findings, measures such as promoting green economic transformation and diversifying compensation models can help control ecological environmental damage. The findings of this study provide valuable insights for implementing the ecological environmental damage compensation system in the Lower Yellow River Basin.

Key words: the Lower Yellow River Basin, logarithmic mean and divisia index model, ecological environmental damage compensation, the compensation intensity, cost rate of ecological environmental damage

中图分类号: 

  • X197

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