首页> 外文期刊>Journal of Cleaner Production >Exploring the spatial spillover effects of industrialization and urbanization factors on pollutants emissions in China's Huang-Huai-Hai region
【24h】

Exploring the spatial spillover effects of industrialization and urbanization factors on pollutants emissions in China's Huang-Huai-Hai region

机译:探索中国黄淮海地区工业化和城市化因素对污染物排放的空间溢出效应

获取原文
获取原文并翻译 | 示例
       

摘要

The diffusion effect makes air pollution become a regional problem. The purpose of this paper is to explore the spatial spillover effects of most pollutants emissions and identify industrialization and urbanization factors affecting emissions from spatial econometric perspective. In recent years, air pollution in China's Huang-Huai-Hai region is the most serious in the whole nation. Based on the geographical weight matrix introduced in this paper, the spatial Durbin model (SDM) is employed to explore the direct and spatial spillover effects of industrialization and urbanization factors on 7 pollutant emissions in 53 cities of China's Huang-Huai-Hai region over the period 2009-2014. The results show that CO is the main pollutant component, followed by SO2, and NOx in 53 cities. The spatial autocorrelation strengthen of each pollutant in all cities is as the order: BC PM2.5CO PMio NH3 SO2 NOx. There are significant spatial aggregation effects of emissions of pollutants except NOx. Furthermore, the direct effects of per capita GDP, non-agricultural industries and urban residents' per capita consumption on pollutants emissions are the biggest on the whole. The direct effect of per capita GDP on each pollutant emissions is entirely negative, while that of non-agricultural industries is positive on the whole. The spatial spillover effects of above three factors on pollutants emissions are the largest; the spatial spillover effect of nonagricultural industries is positive, while that of per capita GDP is negative. According to the results, some policy implications are provided to control regional air pollution. (C) 2018 Elsevier Ltd. All rights reserved.
机译:扩散效应使空气污染成为一个区域性问题。本文的目的是探讨大多数污染物排放的空间溢出效应,并从空间计量经济学角度确定影响排放的工业化和城市化因素。近年来,中国黄淮海地区的空气污染在全国范围内最为严重。基于本文引入的地理权重矩阵,采用空间杜宾模型(SDM)探索中国黄淮海地区53个城市的工业化和城市化因素对7种污染物排放的直接和空间溢出效应。 2009-2014年。结果表明,在53个城市中,CO是主要的污染物成分,其次是SO2和NOx。所有城市中每种污染物的空间自相关增强顺序为:BC> PM2.5> CO> PMio> NH3> SO2> NOx。除氮氧化物外,污染物的排放具有显着的空间聚集效应。此外,人均GDP,非农业产业和城镇居民人均消费对污染物排放的直接影响总体上最大。人均国内生产总值对每种污染物排放的直接影响完全是负面的,而非农业产业的总体影响是积极的。以上三个因素对污染物排放的空间溢出效应最大。非农业产业的空间溢出效应为正,而人均GDP的负面效应为负。根据结果​​,提供了一些政策含义来控制区域空气污染。 (C)2018 Elsevier Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号