• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Environmental Management >Effects of the socio-economic influencing factors on SO_2 pollution in Chinese cities: A spatial econometric analysis based on satellite observed data
【24h】

Effects of the socio-economic influencing factors on SO_2 pollution in Chinese cities: A spatial econometric analysis based on satellite observed data

机译：社会经济影响因素对中国城市SO_2污染的影响：基于卫星观察数据的空间计量分析

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The research on SO_2 pollution in China has been hotly debated over the past decades. Different from the existing studies, this work employs satellite observed SO_2 columns from 2005 to 2016 and applies a spatial econometric approach to investigate the socio-economic influencing factors of SO_2 pollution of 270 prefecture-level cities in China. The findings are as follows. (1) SO_2 pollution over China exhibits a significant and positive spatial autocorrelation. (2) The most polluted area is concentrated on the North China Plain. However, SO_2 pollution over China has been reduced gradually during the sample period, implying that overall environmental quality in China has been substantially improved. (3) Besides, the results of spatial econometric models are not in support of "pollution haven hypothesis". On the contrary, the pollution halo effect of foreign direct investment works well and contributes to reducing SO_2 pollution in China. Moreover, we find that urban economic levels and innovative capability are negatively correlated with SO_2 pollution, indicating that economic growth and an increase in innovation can help improve environmental quality. On contrast, the share of the secondary industry, urbanization and transportation are found to have positive impacts, indicating that they are three main contributors to SO_2 pollution in China.
机译：在过去的几十年中，中国的SO_2污染研究已经发生了热烈的辩论。与现有研究不同，这项工作雇用卫星观察到的SO_2专栏从2005年到2016年，并采用了一种空间计量的方法来调查中国270个县级城市SO_2污染的社会经济影响因素。调查结果如下。 （1）SO_2对中国的污染表现出显着且积极的空间自相关。 （2）最污染的区域集中在华北平原上。然而，在样本期间，对中国的污染逐渐减少，这意味着中国的整体环境质量得到了大幅改善。 （3）此外，空间计量模型的结果不支持“污染避风港假设”。相反，外国直接投资的污染晕效应良好，有助于减少中国的SO_2污染。此外，我们发现城市经济水平和创新能力与SO_2污染负面相关，表明经济增长和创新的增加有助于提高环境质量。相比之下，发现二级行业，城市化和运输的份额具有积极的影响，表明它们是中国SO_2污染的三个主要贡献者。

著录项

  • 来源
    《Journal of Environmental Management》 |2020年第15期|110667.1-110667.10|共10页
  • 作者

    Lei Jiang; Shixiong He; Yuanzheng Cui; Haifeng Zhou; Hao Kong;

  • 作者单位

    School of Economics & Management Nanchang University Nanchang 330031 China School of Economics Zhejiang University of Finance and Economics Hangzhou 310018 China;

    School of Urban and Regional Science Institute of Finance and Economics Research Shanghai University of Finance and Economics Shanghai 200433 China;

    Institute of Land and Urban-rural Development Zhejiang University of Finance and Economics Hangzhou 310018 China;

    School of Environment Beijing Normal University Beijing 100875 China;

    Laboratory for Climate and Ocean-Atmosphere Studies Department of Atmospheric and Oceanic Sciences School of Physics Peking University Beijing 100871 China;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Influencing factors; SO_2 pollution; Satellite observed data; Spatial econometric model; Prefecture-level city;

    机译：影响因素;SO_2污染;卫星观察数据;空间计量模型;县级城市;

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