Literature DB >> 34236609

Industrialization, urbanization, and carbon emission efficiency of Yangtze River Economic Belt-empirical analysis based on stochastic frontier model.

Caiqing Zhang1, Panyu Chen2.   

Abstract

Carbon emission efficiency directly determines the level of green economic development. Based on the panel data of China's Yangtze River Economic Belt (YEB) from 2008 to 2017, this paper uses the stochastic frontier analysis (SFA) model to analyze the overall carbon emission efficiency level, influencing factors, and changing trends, with a view to discussing the relationship between economic development and carbon emission efficiency. The results suggest, first, the overall carbon emission efficiency of the YEB is on an upward trend, but there is still much room for improvement. Second, the impact of industrialization and urbanization on carbon emission efficiency follows a U-shaped. As industrialization and urbanization progress, the impact on carbon emission efficiency shows a downward and then upward trend. Third, due to the rebound effect, technological progress has a slight negative impact on carbon emission efficiency. Energy consumption structure, government intervention, and foreign trade are all negative incentive factors. Therefore, efforts to improve carbon emission efficiency in the YEB should focus on transforming the economic growth model, adjusting the industrial structure, improving the energy consumption structure, and innovating green technology. The research results can provide a reference for the government policymakers to develop a green economy.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Carbon emission efficiency;; Industrialization;; Stochastic frontier analysis;; Urbanization;; Yangtze River Economic Belt

Mesh:

Substances:

Year:  2021        PMID: 34236609     DOI: 10.1007/s11356-021-15309-z

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


  6 in total

1.  Analysis of the Dynamic Relationship between Green Economy Efficiency and Urban Land Development Intensity in China.

Authors:  Jiao Hou; Xinhai Lu; Shiman Wu; Shangan Ke; Jia Li
Journal:  Int J Environ Res Public Health       Date:  2022-06-29       Impact factor: 4.614

2.  The Spatiotemporal Distribution and Drivers of Urban Carbon Emission Efficiency: The Role of Technological Innovation.

Authors:  Ruijing Zheng; Yu Cheng; Haimeng Liu; Wei Chen; Xiaodong Chen; Yaping Wang
Journal:  Int J Environ Res Public Health       Date:  2022-07-26       Impact factor: 4.614

3.  Spatiotemporal Evolution and Influencing Factors of Carbon Emission Efficiency in the Yellow River Basin of China: Comparative Analysis of Resource and Non-Resource-Based Cities.

Authors:  Yingqi Xu; Yu Cheng; Ruijing Zheng; Yaping Wang
Journal:  Int J Environ Res Public Health       Date:  2022-09-15       Impact factor: 4.614

4.  Research on Carbon Emission Efficiency Space Relations and Network Structure of the Yellow River Basin City Cluster.

Authors:  Haihong Song; Liyuan Gu; Yifan Li; Xin Zhang; Yuan Song
Journal:  Int J Environ Res Public Health       Date:  2022-09-27       Impact factor: 4.614

5.  Does Human Capital Matter for China's Green Growth?-Examination Based on Econometric Model and Machine Learning Methods.

Authors:  Xiaoxue Liu; Fuzhen Cao; Shuangshuang Fan
Journal:  Int J Environ Res Public Health       Date:  2022-09-09       Impact factor: 4.614

6.  Spatiotemporal evolution characteristics and dynamic efficiency decomposition of carbon emission efficiency in the Yellow River Basin.

Authors:  Yuan Zhang; Zhen Yu; Juan Zhang
Journal:  PLoS One       Date:  2022-03-24       Impact factor: 3.240

  6 in total

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