首页|黄河流域生态协同治理网络结构特征与形成机制——基于指数随机图模型

黄河流域生态协同治理网络结构特征与形成机制——基于指数随机图模型

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原文链接
  • 国家科技期刊平台
  • NETL
  • NSTL
  • 万方数据
黄河流域生态保护和高质量发展战略指出了"共同抓好大保护，协同推进大治理"的重要方向。该研究利用文本分析方法厘清了2020-2022年黄河流域42个地级市/州间的生态协同治理关系，运用网络分析方法和指数随机图模型(ERGMs)识别了协同治理网络的结构特征及其形成机制。研究发现:①黄河流域生态协同治理网络呈现"少部分地级市独立治理、多数地级市/州域内紧密协同"的总体格局，并且上中下游协同结构差异明显;模块划分具有组织和地理邻近效应以及跨省溢出效应特征，同时各组团内部联系的紧密程度存在异质性。②黄河流域生态协同治理网络的形成显著受到传递效应、择优依附效应的影响;城市绿地面积更大的地级市/州对其他治理主体具有较强的协同吸引力;经济地理集中度和科技投入规模相似的地级市/州政府间也具有协同的倾向;地理邻近性、组织邻近性等属性特征是协同网络形成的重要外生驱动力。基于上述结论，该研究提出未来应细化治理政策来消除地级市/州跨省域协同障碍，增强协同治理网络传递性，发挥核心地级市/州的领导力;完善激励和补偿机制，缩小地级市/州发展差距;搭建跨省域地级市/州协同平台，减少行政分割对协同行为的约束，以促进黄河流域生态协同治理网络优化和改进。
Structural characteristics and drivers of the ecological collaborative governance net-work in the Yellow River Basin:based on ERGMs
The Ecological Conservation and High-Quality Development Strategy of the Yellow River Basin emphasizes the important development direction of'jointly promoting large-scale conservation and coordinated advancement of large-scale governance.'This study used text analysis methods to clarify the ecological collaborative governance relationships among the 42 prefecture-level cities/au-tonomous prefectures in the Yellow River Basin.It employed network analysis methods and exponential random graph models(ERGMs)to identify the structural characteristics and formation mechanisms of the collaborative governance network.The results suggested that:① The ecological collaborative governance network in the Yellow River Basin exhibited an overall pattern of'a few prefecture-level cit-ies governing independently,while most prefecture-level cities/autonomous prefectures collaborating closely within their regions.'Sig-nificant differences existed in collaborative structures among upstream,midstream,and downstream areas.The module division exhibit-ed characteristics of organizational and geographical proximity,as well as interprovincial spillover effects,with varying levels of internal cohesion within each group.② The formation of the ecological collaborative governance network in the Yellow River Basin was signifi-cantly influenced by the effects of transitivity and preferential attachment.Prefecture-level cities/autonomous prefectures with larger ur-ban green space areas exerted a stronger collaborative attraction to other governance entities.There was also a tendency for collabora-tion among prefecture-level cities/autonomous prefectures governments with similar economic-geographic concentration and technology investment scales.Attributes such as geographical proximity and organizational proximity played important roles as exogenous drivers in the formation of collaborative networks.Based on these conclusions,the study proposes that future efforts should focus on refining governance policies to eliminate inter-provincial collaboration obstacles among prefecture-level cities/autonomous prefectures,enhanc-ing the transitivity of collaborative governance networks and leveraging the leadership of core prefecture-level cities/autonomous prefec-tures.Additionally,there is a need to improve incentive and compensation mechanisms to narrow the development gap among prefec-ture-level cities/autonomous prefectures.The establishment of a cross-provincial,prefecture-level cities/autonomous prefectures collabo-ration platform is suggested to mitigate the constraints of administrative division on collaborative behaviors,aiming to promote optimiza-tion and improvement of the ecological collaborative governance network in the Yellow River Basin.

Yellow River Basinecological protectioncollaborative governancegovernance networkexponential random graph mod-els

王方、陈海滨、邵砾群、霍学喜、夏显力

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西北农林科技大学经济管理学院,陕西 杨凌 712100

西北农林科技大学西部农村发展研究中心,陕西 杨凌 712100

西北农林科技大学陕西农村经济与社会发展协同创新研究中心,陕西 杨凌 712100

黄河流域 生态保护 协同治理 治理网络 指数随机图模型(ERGMs)

国家自然科学基金项目&&陕西省社会科学基金教育部人文社会科学基金一般项目

72273104718730982020R05023YJA790066

2024

10.12062/cpre.20231202

中国人口·资源与环境
中国可持续发展研究会 山东省可持续发展中心 中国21世纪议程管理中心 山东师范大学

中国人口·资源与环境

CSTPCDCSSCI北大核心
影响因子：3.126
ISSN：1002-2104
年,卷(期)：2024.34(6)