【24h】

Analysis of influential factors on haze pollution in China

机译:中国阴霾污染影响因素分析

获取原文
获取原文并翻译 | 示例
           

摘要

This study tests the hypothesis of Environmental Kuznets Curve (EKC) between PMio concentrations and economic growth and analyzes the influential factors of PMio concentrations from the economic perspective by using the panel data on the PMio concentrations of 30 provinces from 2003 to 2015 in China. Results of the regression estimation from the fully modified OLS (FMOLS) method show that a relationship characterized by an inverted U-shaped curve is observed between PM10 concentrations and gross domestic product (GDP) per capita and that an EKC exists in China's haze pollution problem. PMio concentrations have the most sensitive response to GDP. The elastic coefficients of the possession of civilian vehicles, urbanization and trade openness are positive values. More importantly, the elastic coefficient of the tertiary industry proportion is less than 0. Increase in the proportion of tertiary industry can effectively alleviate China's problem on haze pollution. Lastly, relevant countermeasures and suggestions are presented.
机译:本研究试验了PMIO浓度和经济增长之间的环境库兹涅茨曲线(EKC)的假设,并通过使用2003年至2015年的PMIO浓度的PMIO浓度的小组数据分析了PMIO浓度的影响因素。来自完全改性OLS(FMOLS)方法的回归估计结果表明,在PM10浓度和国内生产总值(GDP)之间观察到具有倒U形曲线的关系,并且在中国的阴霾污染问题中存在EKC 。 PMIO浓度对GDP具有最敏感的反应。拥有民用车辆的弹性系数,城市化和贸易开放性是正价值。更重要的是,第三产业比例的弹性系数小于0的弹性系数小于0.大专行业的比例增加可以有效缓解中国对雾度污染问题的问题。最后,提出了相关的对策和建议。

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