Literature DB >> 32564322

China's energy consumption and green economy efficiency: an empirical research based on the threshold effect.

Congxin Li1, Qian Jia2, Guozhu Li3.   

Abstract

Using the panel data of China's provinces from 2005 to 2016, the paper adopts the ultra-efficiency model to measure the green economy efficiency of each province. Then, the paper used the panel threshold model to study the impact of science and technological input on the green economy efficiency with the energy consumption intensity as a threshold variable. The results show that the green economy efficiency in China's provinces is low and is in a downward trend. When the energy consumption intensity is the threshold variable, the single-threshold effect is significant. When the energy consumption intensity is lower than the threshold value, the impact of science and technological input on green economic efficiency is not significant, and the energy consumption intensity has a significant impact on green economic efficiency with science and technological input and energy consumption intensity as the core explanatory variables and with energy consumption intensity as the threshold variable. When the energy consumption intensity crosses the threshold value, the impact of science and technological input and energy consumption intensity on green economic efficiency becomes significant. According to the above empirical results, this paper proposes corresponding countermeasures and suggestions.

Keywords:  Energy consumption intensity; Green economic efficiency; Threshold effect

Year:  2020        PMID: 32564322     DOI: 10.1007/s11356-020-09536-z

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  4 in total

1.  Can Green Economy and Ecological Welfare Achieve Synergistic Development? The Perspective of the "Two Mountains" Theory.

Authors:  Lindong Ma; Yuanxiao Hong; Xihui Chen
Journal:  Int J Environ Res Public Health       Date:  2022-05-26       Impact factor: 4.614

2.  The impact of public health events on green economy efficiency in the context of environmental regulation.

Authors:  Jingnan Zhou; Yiming Yuan; Zitian Fu; Kaiyang Zhong
Journal:  Front Public Health       Date:  2022-09-30

3.  Analyzing the regional economic changes in a high-tech industrial development zone using machine learning algorithms.

Authors:  ErLe Du; Meng Ji
Journal:  PLoS One       Date:  2021-06-22       Impact factor: 3.240

4.  Does environmental regulation reduce China's haze pollution? An empirical analysis based on panel quantile regression.

Authors:  Congxin Li; Guozhu Li
Journal:  PLoS One       Date:  2020-10-28       Impact factor: 3.240

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.