政府与社会行动者的多元协同治理能否促进城市碳减排?来自中国107个城市的证据

IF 6.9 2区 工程技术 Q1 ENVIRONMENTAL SCIENCES
Jingru Li , Qianchang Luo , Yanbin Cheng , Jian Zuo
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引用次数: 0

摘要

传统的政府主导型环境治理必须向多元化的协同治理过渡。现有的研究主要集中在政府与公众的合作上,很少涉及其他社会力量的共同参与。本研究旨在发展衡量政府与多个社会行动者(包括公众、媒体和环境组织)之间协作治理的方法,并阐明其结构特征,并探讨这些特征对碳排放的影响。采用基于社会网络分析和多源数据挖掘的方法,构建了中国107个城市的多主体协同碳减排网络(MACCRN)。用新的指标和传统的SNA指标描述了它们的网络特征。随后,对这些特征的时空演变进行了分析。最后,分别采用计量经济模型和SHAP值算法XGBoost来检验MACCRN特征对碳排放的影响机制。研究结果表明:(1)中国107个城市的MACCRNs在规模和强度上存在显著差异。(2)农村综合整治总体呈现分权化、合作强度增强、社会力量参与程度提高、主体均衡参与的趋势。(3) 4个网络特征与碳排放强度的关系显著,其中网络平衡是影响碳排放强度的最重要因素。④通过去中心化降低网络层级结构,通过吸引更多行为体参与并促进其协作来提高网络密度,通过多种行为体参与促进网络平衡有助于降低碳排放强度。(5)政府力量相对占优势或社会力量相对占优势的合作模式均能降低碳排放强度。然而,单边优势倾向于增加碳排放强度。(6)行政级别高的城市总体表现优于行政级别低的城市。研究结果为多元协同碳减排战略的制定提供了有价值的参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Does pluralistic collaborative governance between governmental and social actors promote urban carbon emission reduction? Evidence from 107 cities of China
The traditional government-dominant environmental governance must undergo a transition to a pluralistic collaborative governance. Existing studies predominantly focus on the cooperation between government and public, rarely involving other social forces together. This study aims to develop methodologies for measuring collaborative governance between governmental and multiple social actors (including public, media and environmental organization) and elucidating its structural characteristics, and investigate how these characteristics impact on carbon emissions. Multi-actor collaborative carbon reduction networks (MACCRN) were constructed for 107 Chinese cities using our proposed methods based on Social Network Analysis (SNA) and multi-source data mining. Their network characteristics were described using both new indicators and conventional SNA indexes. Subsequently, the spatiotemporal evolution of these characteristics were analyzed. Finally, the econometric model and XGBoost with SHAP value algorithm were respectively used to examine the impact mechanism of MACCRN's characteristics on carbon emissions. The main findings include that: (1) MACCRNs differed significantly in the scale and intensity across the 107 Chinese cities. (2) The MACCRNs showed an overall trend towards decentralization, enhanced cooperation intensity, greater involvement of social force, and more balanced participation of various actors. (3) Four network characteristics had significant relationships with carbon emission intensity, with network balance ranking as the top factor. (4) Reducing the network hierarchical structure by decentralization, enhancing network density by engaging more actors and fostering their collaborations, and promoting network balance by participation of various actors helped reduce carbon emission intensity. (5) Cooperative modes with relatively dominant government force or social forces both achieved a reduction in carbon emission intensity. However, unilateral dominance tended to increase carbon emissions intensity. (6) Cities with higher administrative levels consistently outperform those with lower administrative levels. These findings provide valuable reference for the formulation of pluralistic collaborative carbon reduction strategies.
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来源期刊
Urban Climate
Urban Climate Social Sciences-Urban Studies
CiteScore
9.70
自引率
9.40%
发文量
286
期刊介绍: Urban Climate serves the scientific and decision making communities with the publication of research on theory, science and applications relevant to understanding urban climatic conditions and change in relation to their geography and to demographic, socioeconomic, institutional, technological and environmental dynamics and global change. Targeted towards both disciplinary and interdisciplinary audiences, this journal publishes original research papers, comprehensive review articles, book reviews, and short communications on topics including, but not limited to, the following: Urban meteorology and climate[...] Urban environmental pollution[...] Adaptation to global change[...] Urban economic and social issues[...] Research Approaches[...]
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