关联区域大气污染治理的协作困境、共治体系与数据驱动
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摘要
大气污染防治是党和国家关心的重要问题,建立共治体系是解决区域大气污染的根本路径。同时,大气污染治理模式的创新也成为环境治理研究的重要议题。基于我国大气污染联防联控的现状,大气污染共治体系建设的症结在于治理边界模糊、主体单一、连接不畅,从而缺乏有效的内生驱动力。四川省大气污染联防联控的实践案例表明,大气污染治理模式的创新方向应为实现从传统型治理体系向数据驱动型治理体系转型。数据驱动型治理体系以数据型专业组织驱动为连接,驱动实施党委领导、政府协调、公众参与的大气污染共同治理模式,从而有利于实现系统化、数据化、多元化的治理目标。
The prevention and control of air pollution is an important issue of concern to the Party and the state. Establishing a system of co-governance is the fundamental solution to regional air pollution.Meanwhile,the innovation of air pollution governance mode has also become an important issue in environmental governance research. In terms of the current situation of joint prevention and control of air pollution,the crux of air pollution co-governance system lies in the blurred boundary of governance,lack of participants,and poor interactions,thus lacking an effective endogenous driving force. The practice of joint prevention and control of air pollution in Sichuan Province shows that the innovation of air pollution governance mode is to realize the transformation from traditional governance system to data-driven governance system. The data-driven governance system is driven by data-based professional organizations to achieve air pollution co-governance under which Party committees exercise leadership,government provides coordination,and the public get involved,thereby achieving a systematic,data-based,and diversified governance goal.
The prevention and control of air pollution is an important issue of concern to the Party and the state. Establishing a system of co-governance is the fundamental solution to regional air pollution.Meanwhile,the innovation of air pollution governance mode has also become an important issue in environmental governance research. In terms of the current situation of joint prevention and control of air pollution,the crux of air pollution co-governance system lies in the blurred boundary of governance,lack of participants,and poor interactions,thus lacking an effective endogenous driving force. The practice of joint prevention and control of air pollution in Sichuan Province shows that the innovation of air pollution governance mode is to realize the transformation from traditional governance system to data-driven governance system. The data-driven governance system is driven by data-based professional organizations to achieve air pollution co-governance under which Party committees exercise leadership,government provides coordination,and the public get involved,thereby achieving a systematic,data-based,and diversified governance goal.
引文
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[30]锁利铭,彭嘉颖.以数据驱动构建大气污染共治体系[N].学习时报,2018-10-01(006).
[2]詹志明,尹文君.环保大数据及其在环境污染防治管理创新中的应用[J].环境保护,2016,(6):44-48.
[3]常杪,等.大数据驱动环境管理创新[J].环境保护,2015,(19):25-29.
[4]李一男.大数据和物联网在国外城市治理中的前沿应用:公共价值促生的可操作化[J].兰州学刊,2015,(10):166-170.
[5]刘锐.环境大数据从哪些方面推动环境管理?[N].中国环境报,2015-11-16(008).
[6]杨龙,彭彦强.理解中国地方政府合作——行政管辖权让渡的视角[J].政治学研究,2009,(4):61-66.
[7]孙涛,温雪梅.动态演化视角下区域环境治理的府际合作网络研究——以京津冀大气治理为例[J].中国行政管理,2018,(5):83-89.
[8]马亮.大数据技术何以创新公共治理——新加坡智慧国案例研究[J].电子政务,2015,(5):2-9.
[9]崔伟.京津冀大气污染治理中政府间协作的碎片化困境及整体性路径选择[J].哈尔滨行政学院学报,2016,(8):19-23.
[10]吴芸,赵新峰.京津冀区域大气污染治理政策工具变迁研究——基于2004-2017年政策文本数据[J].中国行政管理,2018,(10):78-85.
[11]白永亮,郭珊,孙涵.大气污染的空间关联与区域间防控协作——基于全国288个地市工业SO2污染数据的空间统计分析[J].中国地质大学学报(社会科学版),2016,(3):63-72.
[12]Rupasingha,A. S. J. Goetz,D. L. Debrtin. The Environmental Kuznets Curve for U. S. Counties:A Spatial Economentric Analysis with Extensions[J]. Paper in Regional Science,2010,(2):407-424.
[13]Sun L.,Wang Q.,Zhou P. Effects of carbon emission transfer on economic spillover and carbon emission reduction in China[J]. Journal of Cleaner Production,2016,(112):1432-1442.
[14]Liangxiong H.,Li Z.,Yuan S. Pollution Spillover in Developed Regions in China-Based on the Analysis of the Industrial SO2 emission[J]. Energy Procedia,2011,(5):1008-1013.
[15]苏梽芳,胡日东,林三强.环境质量与经济增长库兹尼茨关系空间计量分析[J].地理研究,2009,(2):303-310.
[16]王立平,管杰,张纪东.中国环境污染与经济增长:基于空间动态面板数据模型的实证分析[J].地理科学,2010,(6):818-825.
[17]王金南,宁淼,孙亚梅.区域大气污染联防联控的理论与方法分析[J].环境与可持续发展,2012,(5):5-10.
[18]赵新峰,袁宗威.京津冀区域政府间大气污染治理政策协调问题研究[J].中国行政管理,2014,(11):18-23.
[19]张永安,邬龙.政策梳理视角下我国大气污染治理特点及政策完善方向探析[J].环境保护,2015,(5):48-50.
[20]杨骞,王弘儒.长江经济带水污染排放的地区差异及影响因素研究:2004-2014[J].经济与管理评论,2016,(5):141-147.
[21]张国兴,等.政策协同:节能减排政策研究的新视角[J].系统工程理论与实践,2014,(3):545-559.
[22]李江,等.用文献计量研究重塑政策文本数据分析——政策文献计量的起源、迁移与方法创新[J].公共管理学报,2015,(2):138-144.
[23]杜鹏生,姚建,李毅.我国大气污染防治政策的评估与建议[J].四川环境,2015,(1):96-100.
[24]唐亚林.长三角城市政府合作体制反思[J].探索与争鸣,2005,(1):35-37.
[25]Egteren H. V.,Tang J. Maxium Victim Benefit:A Fair Division Process in Transboundary Pollution Problems[J]. Environmental&Resource Economics,1997,(4):363-386.
[26]黄爱宝.论府际环境治理中的协作与合作[J].云南行政学院学报,2009,(5):96-99.
[27]Feiock,R. C. Rational Choice and Regional Governance[J]. Journal of Urban Affairs,2007,(1):47-63.
[28]Feiock,R. C. The Institutional Collective Action Framework[J]. The Policy Studies Journal,2013,(3):397-425.
[29]锁利铭,冯小东.数据驱动的城市精细化治理:特征、要素与系统耦合[J].公共管理学报,2018,(4):17-26+150.
[30]锁利铭,彭嘉颖.以数据驱动构建大气污染共治体系[N].学习时报,2018-10-01(006).