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“动力-能力”视角下省域大气污染治理的有效路径

The Effective Pathways of Provincial Air Pollution Governance from the“Motivation-Capacity”Perspective
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摘要 大气污染治理的成效关乎人民群众的环境获得感。构建大气污染治理的“动力—能力”分析框架,采用多时段动态模糊集定性比较分析方法,利用2012—2021年中国省域面板数据,探究大气污染有效治理的组态路径,并分析组态随时间变化的演变规律。研究发现:单个前因条件均不是大气污染治理有效的必要条件;组态分析结果显示,2012—2016年存在“三重压力驱动模式”与“双重压力驱动模式”两种路径,2017—2021年存在“双重压力驱动下政府能力主导模式”和“双重压力驱动—社会支持模式”两种路径。随着时间推进,地方政府实现大气污染有效治理的路径更加多元化,呈现出动力和能力相结合的特征。政治压力持续驱动与多主体治理能力不断提升相结合,强动力和强能力的双向驱动式治理趋向构成了省域大气污染有效治理的内在逻辑。为进一步提高大气污染治理水平,地方政府以及相关主体应深化环境治理能力建设,同时完善大气污染治理的监督约束机制。 A favorable ecological environment represents the most inclusive form of public service.Air pollution governance is of critical significance in the systematic implementation of ecological environment protection.Its effects not only influence the modernization process of China’s ecological civilization construction and high-quality development but also profoundly affect the public’s sense of environmental fulfillment.Previous studies mainly analyze air pollution governance pathways from a single perspective,neglecting the coupling effects caused by interdependent multiple conditions.Additionally,the reliance on static analytical strategies leads to limitations,failing to fully capture the dynamic impact of temporal evolution on outcomes.This paper constructs a“motivation-capacity”analytical framework for air pollution governance from the perspectives of government,enterprises,and society.Employing a multi-period dynamic fsQCA method,we examine data from 30 Chinese provinces(excluding Xizang,Hong Kong region,Macao region,Taiwan region),from 2012 to 2021,to explore the influence of six variables and their combinations on air pollution governance under motivation and capacity mechanisms.Based on that,we further analyze the evolutionary characteristics of these configurations over time.The findings reveal that no single conditional variable is a necessary condition for effective air pollution governance.Further configuration analysis of the conditional variables reveals that from 2012 to 2016,there were two paths for provincial-level air pollution governance-the“dual-pressure-driven mode”and the“triple-pressure-driven mode.”In contrast,from 2017 to 2021,there were the“government-capacity-dominant mode under dual-pressure-driven conditions”and the“dual-pressure-driven-social-support mode.”Based on the configuration analysis,this paper further analyzes the phased evolution characteristics and underlying theoretical logic of effective provincial air pollution governance.In terms of characteristics,while the combined effects of political and environmental pressures remain relatively stable over time,certain conditions exhibit periodic changes.It reflects diversified pathways chosen by provincial governments to achieve effective air pollution governance,which are increasingly characterized by the integration of motivation and capacity.In terms of logic,under sustained political pressure,the multi-stakeholder governance capacity is continuously enhanced.The trend toward bidirectional governance—combining strong motivation and strong capacity—emerges as the intrinsic logic of effective provincial air pollution governance.Accordingly,this paper discusses the fact that bidirectional-driven governance logic encompasses three mechanistic components:political safeguards,dynamic coordination,and interactive reinforcement.The contributions of this paper are the following three parts.First,it expands research on effective provincial air pollution governance from a novel systemic perspective,identifying configuration pathways for both eastern and central-western regions through QCA.Second,by introducing a temporal dimension into the QCA analysis,it reveals the dynamic changes and differences of influence factors under different temporal and spatial dynamic conditions.Third,it uncovers and theorizes the bidirectional-driven governance logic from empirical pathways of effective air pollution governance,offering a deeper theoretical interpretation.
作者 任丙强 薛治佳 孟子龙 REN Bingqiang;XUE Zhijia;MENG Zilong(School of Public Administration,Beihang University,Beijing 100191,China)
出处 《西安交通大学学报(社会科学版)》 北大核心 2025年第5期127-138,共12页 Journal of Xi'an Jiaotong University:Social Sciences
基金 教育部哲学社会科学研究重大专项一般项目(2022JZDZ017) 北京市社会科学基金一般项目(18ZGB005)。
关键词 生态文明建设 大气污染治理 动力—能力 政治压力 环境治理能力 多主体治理 组态分析 fsQCA the construction of ecological civilization air pollution governance motivation-capacity political pressure environmental governance capacity multi-actor governace configuration analysis fsQCA
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