Water crisis, environmental regulations and location dynamics of pollution-intensive industries in China: A study of the Taihu Lake watershed

Water crisis, environmental regulations and location dynamics of pollution-intensive industries in China: A study of the Taihu Lake watershed
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水危机、环境规制与中国污染密集型产业区位动态:太湖流域研究

DOI:
10.1016/j.jclepro.2019.01.177
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发表时间:
2019-04-10
影响因子:
11.1
通讯作者:
Chen, Wen
Chen, Wen
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Yuan, Feng;Wei, Yehua Dennis;Chen, Wen

文献摘要

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现有的环境规制和污染密集型产业区位动态研究大多将新的环境程序视为一个渐进的发展过程,而忽略了污染危机引发的环境规制突然变化的影响。本文以2007年太湖流域饮用水危机为例,考察了太湖流域污染密集型企业的空间行为,并特别关注了环境规制实施效果的区域差异。我们发现,污染避难所假说在突发性污染危机后的短期内有效,因为地方政府在中央政府和公众的压力下立即加强了环境管制。然而,严格的环境政策的效果受到影响的政策执行的有效性在整个流域的差异。具体而言,当其他地区(如湖州)与无锡(本研究中的危机发生地)进行比较时,发现这些地区对污染事件的影响和触发的环境法规相对不敏感。(C)2019爱思唯尔有限公司版权所有。
Most existing studies on environmental regulations and the location dynamics of pollution-intensive industries regard new environmental procedures as an incremental development process, and neglect the influence of sudden changes in environmental regulations triggered by a pollution crisis. Using the drinking water crisis in the Taihu Lake Watershed (TLW) in 2007 as an example, this paper examines the spatial behavior of pollution-intensive firms across the TLW, and pays special attention to the regional differences in the effectiveness of enforcing environmental regulations. We find that the pollution haven hypothesis works efficiently in the short term after an unexpected pollution crisis because of the immediate strengthening of environmental regulations by local governments under pressure from the central government and the public. However, the effect of strict environmental policies was compromised by differences in the effectiveness of policy enforcement across the watershed. Specifically, when other regions (for example, Huzhou) were compared with Wuxi (the site of the crisis in the present study), these regions were found to be relatively insensitive to the effects of the pollution incidents and the environmental regulations that were triggered. (C) 2019 Elsevier Ltd. All rights reserved.