Literature DB >> 32250907

Will income inequality influence the abatement effect of renewable energy technological innovation on carbon dioxide emissions?

Caiquan Bai1, Chen Feng2, Hong Yan3, Xing Yi4, Zhujun Chen5, Wendong Wei6.   

Abstract

Environmental pollution and income inequality have become two salient issues in China. To achieve a green economic transformation, China urgently needs to develop renewable energy technologies to reduce carbon dioxide (CO2) emissions. However, the relationship among income inequality, renewable energy technological innovation (RETI) and CO2 emissions has not received sufficient attention in the current literature. Based on Chinese provincial panel data from 2000 to 2015, this paper adopts a panel fixed effect regression model and a panel threshold model to perform an analysis on the nonlinear relationship among these factors. The results show that (1) RETI is conducive to reducing per capita CO2 emissions (PCE). However, with an increase in income inequality, the abatement effect of RETI on per capita CO2 emissions will be hindered, and RETI will even positively contribute to PCE. (2) The panel threshold model shows that the impact of RETI on PCE has a significant single-threshold effect with regard to income inequality. When income inequality is lower than the threshold value, the impact of RETI on PCE is not significant. However, above the threshold value, that is, within the interval of higher income inequality, an increase in RETI will positively contribute to PCE. Finally, from the perspectives of income inequality and RETI, relevant policy implications are put forward for achieving the transformation of a low-carbon economy.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  CO(2) emissions; Income inequality; Panel threshold model; Renewable energy technological innovation

Mesh:

Substances:

Year:  2020        PMID: 32250907     DOI: 10.1016/j.jenvman.2020.110482

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  8 in total

1.  Spatio-Temporal Effects of Multi-Dimensional Urbanization on Carbon Emission Efficiency: Analysis Based on Panel Data of 283 Cities in China.

Authors:  Zhanhang Zhou; Linjian Cao; Kuokuo Zhao; Dongliang Li; Ci Ding
Journal:  Int J Environ Res Public Health       Date:  2021-12-02       Impact factor: 3.390

2.  Renewable energy technology innovation and inclusive low-carbon development from the perspective of spatiotemporal consistency.

Authors:  Long Xin; Hui Sun; Xuechao Xia
Journal:  Environ Sci Pollut Res Int       Date:  2022-10-18       Impact factor: 5.190

3.  The air pollution effect of government economic growth expectations: evidence from China's cities based on green technology.

Authors:  Linhui Wang; Hui Wang; Zhiqing Dong; Shixiang Wang; Zhanglu Cao
Journal:  Environ Sci Pollut Res Int       Date:  2021-01-29       Impact factor: 5.190

4.  Energy use and the role of per capita income on carbon emissions in African countries.

Authors:  Bosede Ngozi Adeleye; Romanus Osabohien; Adedoyin Isola Lawal; Tyrone De Alwis
Journal:  PLoS One       Date:  2021-11-04       Impact factor: 3.240

5.  Green technology innovation and carbon emissions nexus in China: Does industrial structure upgrading matter?

Authors:  Pengfei Gao; Yadong Wang; Yi Zou; Xufeng Su; Xinghui Che; Xiaodong Yang
Journal:  Front Psychol       Date:  2022-07-26

6.  Does income inequality reshape the environmental Kuznets curve (EKC) hypothesis? A nonlinear panel data analysis.

Authors:  Rongrong Li; Ting Yang; Qiang Wang
Journal:  Environ Res       Date:  2022-10-14       Impact factor: 8.431

7.  The Impact of Green Technology Innovation on Carbon Emissions in the Context of Carbon Neutrality in China: Evidence from Spatial Spillover and Nonlinear Effect Analysis.

Authors:  Shihong Zeng; Gen Li; Shaomin Wu; Zhanfeng Dong
Journal:  Int J Environ Res Public Health       Date:  2022-01-10       Impact factor: 3.390

8.  Exploring the impact of narrowing urban-rural income gap on carbon emission reduction and pollution control.

Authors:  Lujing Wang; Ming Zhang
Journal:  PLoS One       Date:  2021-11-02       Impact factor: 3.240

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.