Literature DB >> 31470482

An evaluation of greenhouse gas emission efficiency in China's industry based on SFA.

Jingchao Sun1, Tao Du2, Wenqiang Sun1, Hongming Na1, Jianfei He1, Ziyang Qiu1, Yuxing Yuan1, Yingnan Li1.   

Abstract

As one of the largest countries with sound industrial systems in the world, China is a major emitter of greenhouse gases. In order to achieve sustainable development, the analysis of greenhouse gas emissions from industry is of great significance. This research evaluates the greenhouse gas emission efficiency (GHG efficiency) at industry level in 26 sectors of China and analyzes the impacts of its determinants using stochastic frontier approach. Furthermore, the correlations for GHG efficiency with its determinants and other proxies are estimated by Kendall's rank analysis. Industry level data from Chinese processing and manufacturing industries spanning over the period 2000-2016 are used for this analysis. Results show that there has little potential to improve GHG efficiency, then technology progress is necessary. The GHG efficiency performance responds both to changes in the proportion of net electricity use and the ratio of electricity price to coal price; meanwhile the technology capacity also has a positive impact. Besides, three main proxies of GHG intensity, energy efficiency and energy intensity have their own significance respectively, but could not represent GHG efficiency.
Copyright © 2019 Elsevier B.V. All rights reserved.

Keywords:  China's emission trading scheme (ETS); Correlation; GHG efficiency; Stochastic frontier analysis

Year:  2019        PMID: 31470482     DOI: 10.1016/j.scitotenv.2019.07.093

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  1 in total

1.  Spatial Evolutionary Characteristics and Influencing Factors of Urban Industrial Carbon Emission in China.

Authors:  Xinyu Zhang; Mufei Shen; Yupeng Luan; Weijia Cui; Xueqin Lin
Journal:  Int J Environ Res Public Health       Date:  2022-09-07       Impact factor: 4.614

  1 in total

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