Measuring spatial spillover effects of industrial emissions: A method an d case study in Anhui province, China
Measuring spatial spillover effects of industrial emissions: A method an d case study in Anhui province, China
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衡量工业排放的空间溢出效应：中国安徽省的方法和案例研究
DOI：
10.1016/j.jclepro.2016.09.182
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发表时间：
2017-01-10
影响因子：
11.1
通讯作者：
Liu, Yi
中科院分区：
文献类型：
--
作者：
Wang, Chaoran;Du, Xinming;Liu, Yi
利用安徽省5674家工业企业的数据，分析了工业排放的空间溢出效应。通过引入空间相关性指标，比较3种空间回归模型，应用Spatial Durbin模型分析了工业污染物排放强度的空间相关性。结果表明，水污染物和大气污染物排放强度的空间溢出效应在几乎所有的工业部门都是显著的。结果表明，扩大企业产值和减少资源消耗是降低企业污染物排放强度的有效途径。但这两个因素对不同行业的影响程度不同。最有影响力、有效和有限溢出距离三个指标被用来量化每个部门的技术溢出空间扩展。结果表明，这些因部门而异的距离指标差别很大。水和大气污染物排放的有效溢出距离分别小于35 km和56 km。极限距离分别可达47公里和80公里。就推广节水和节能技术、集中污染控制、技术改造和工业集聚发展等问题进行了一些讨论，以确定有效的工业环境治理模式。(C)2016爱思唯尔有限公司版权所有。
This study analyzed the spatial spillover effects of industrial emissions by using the data of 5674 industrial enterprises in Anhui province, China. By introducing spatial correlation indexes and comparing three types of spatial regression models, Spatial Durbin Model was applied to analyze the spatial dependence of emissions intensities of industrial pollutants. It was proved that the spatial spillover effects of water and air pollutant emission intensities were significant in almost all the industrial sectors. The results also showed that both expansion of enterprises' output values and reduction of resources consumptions were two efficient ways to decrease enterprises' pollutant emissions intensities. However, the influences of these two factors were different between different industrial sectors. Three indicators, including most influential, effective and limited spillover distance, were developed to quantify the spatial expansion of technology spillover for each sector. The results suggested that these sector-dependent distance indicators varied considerably. The effective spillover distances were less than 35 km and 56 km for water and air pollutant emissions respectively. The limited distance could reach 47 km and 80 km for each. Some discussions were given on promotion of water-saving and energy-saving technologies, centralized pollution control, technological transformation and industrial agglomeration development, in order to identify a model for efficient industrial environmental governance. (C) 2016 Elsevier Ltd. All rights reserved.