首页> 外文OA文献 >Assessing the impact of population, income and technology on energy consumption and industrial pollutant emissions in China
【2h】

Assessing the impact of population, income and technology on energy consumption and industrial pollutant emissions in China

机译:评估人口,收入和技术对中国能源消耗和工业污染物排放的影响

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Elucidating the complex mechanism of the impact of demographic changes, economic growth, and technological advance impacts on energy consumption and pollutant emissions is fundamentally necessary to inform effective strategies on energy saving and emission reduction in China. Here, based on a balanced provincial panel dataset in China over the period 1990-2012, we used an extended STIRPAT model to investigate the effects of human activity on energy consumption and three types of industrial pollutant emissions (exhaust gases, waste water and solid waste) at the national and regional levels and tested the environmental Kuznets curve (EKC) hypothesis. Empirical results show that a higher population density would result in a decrease in energy consumption in China as a whole and in its eastern, central and western regions, but the extent of its effect on the environment depends on the type of pollutants. Higher population density increased wastewater discharge but decreased solid waste production in China and its three regions. The effect of economic development on the environment was heterogeneous across the regions. The proportion of industrial output had a significant and positive influence on energy consumption and pollutant emissions in China and its three regions. Higher industrial energy intensity resulted in higher levels of pollutant emissions. No strong evidence supporting the EKC hypothesis for the three industrial wastes in China was found. Our findings further demonstrated that the impact of population, income and technology on the environment varies at different levels of development. Because of the regional disparities in anthropogenic impact on the environment, formulating specific region-oriented energy saving and emission reduction strategies may provide a more practical and effective approach to achieving sustainable development in China. (C) 2015 Elsevier Ltd. All rights reserved.
机译:阐明人口变化,经济增长和技术进步对能源消耗和污染物排放的影响的复杂机制,对于制定有效的中国节能减排战略至关重要。在这里,基于1990-2012年间中国省级平衡面板数据集,我们使用扩展的STIRPAT模型来研究人类活动对能源消耗和三种工业污染物排放(废气,废水和固体废物)的影响),并检验了环境库兹涅茨曲线(EKC)假设。实证结果表明,较高的人口密度将导致中国整体以及其东部,中部和西部地区的能源消耗减少,但其对环境的影响程度取决于污染物的类型。较高的人口密度增加了中国及其三个地区的废水排放量,但减少了固体废物的产生。经济发展对环境的影响在各地区之间是不同的。工业产出的比例对中国及其三个地区的能源消耗和污染物排放产生了显着而积极的影响。较高的工业能源强度导致较高的污染物排放水平。没有强有力的证据支持中国三种工业废物的EKC假设。我们的发现进一步表明,人口,收入和技术对环境的影响在不同的发展水平上有所不同。由于人类活动对环境的影响存在地区差异,制定具体的区域性节能减排策略可能为中国实现可持续发展提供更为实用和有效的方法。 (C)2015 Elsevier Ltd.保留所有权利。

著录项

  • 作者

    Liu Y. S.; Zhou, Y.; Wu, W. X.;

  • 作者单位
  • 年度 2015
  • 总页数
  • 原文格式 PDF
  • 正文语种 英语
  • 中图分类

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

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