Literature DB >> 33443735

Do energy use and economic policy uncertainty affect CO2 emissions in China? Empirical evidence from the dynamic ARDL simulation approach.

Kashif Raza Abbasi1, Festus Fatai Adedoyin2.   

Abstract

Global warming is currently the biggest problem. China is the world's highest CO2 emitter. The Chinese authorities agreed to overcome global pollution per the current Paris treaty and have shown deep concern regarding global warming. Hence, policymakers are paying attention to economic policy uncertainty. Motivated by this issue, the study examines the effect of energy use, economic policy uncertainty, and economic growth on China's CO2 emissions from 1970 to 2018 by employing a novel dynamic ARDL simulation model. The findings show that energy use and economic growth have statistically substantial long-run and short-run positive effects on CO2 emissions. However, economic policy uncertainty has a statistically insignificant effect on CO2 emissions, due to firms' sustainability policies. Energy use can have valuable policy consequences, particularly for environmental sustainability. Therefore, based on the empirical findings, the crucial partnership and feedback on China's carbon emission policy should be carried forward.

Entities:  

Keywords:  CO2 emissions; Dynamic ARDL; Economic policy uncertainty; Energy use; GDP

Mesh:

Substances:

Year:  2021        PMID: 33443735     DOI: 10.1007/s11356-020-12217-6

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


  11 in total

1.  How does economic policy uncertainty affect CO2 emissions? A regional analysis in China.

Authors:  Yan Liu; Zepeng Zhang
Journal:  Environ Sci Pollut Res Int       Date:  2021-08-17       Impact factor: 5.190

2.  Do economic policy uncertainty and financial development influence the renewable energy consumption levels in China?

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3.  The impact of high-tech product export trade on regional carbon performance in China: the mediating roles of industrial structure supererogation, low-carbon technological innovation, and human capital accumulation.

Authors:  Miao Han; Yan Zhou
Journal:  Environ Sci Pollut Res Int       Date:  2022-01-10       Impact factor: 5.190

4.  Impact of Economic Policy Uncertainty on Carbon Emissions: Evidence from 137 Multinational Countries.

Authors:  Hai-Jie Wang; Yong Geng; Xi-Qiang Xia; Quan-Jing Wang
Journal:  Int J Environ Res Public Health       Date:  2021-12-21       Impact factor: 3.390

5.  The impact of economic policy uncertainty on carbon emissions: evaluating the role of foreign capital investment and renewable energy in East Asian economies.

Authors:  Yasir Khan; Taimoor Hassan; Dervis Kirikkaleli; Zhang Xiuqin; Cai Shukai
Journal:  Environ Sci Pollut Res Int       Date:  2021-10-24       Impact factor: 5.190

6.  Does unionization reduce CO2 emissions in Canada?

Authors:  Anupam Das
Journal:  Environ Sci Pollut Res Int       Date:  2022-03-03       Impact factor: 4.223

7.  Does Trade Policy Uncertainty Exacerbate Environmental Pollution?-Evidence from Chinese Cities.

Authors:  Yiping Sun; Xiangyi Li; Tengyuan Zhang; Jiawei Fu
Journal:  Int J Environ Res Public Health       Date:  2022-02-14       Impact factor: 3.390

8.  The impact of economic uncertainty, economic growth and energy consumption on environmental degradation in MENA countries: Fresh insights from multiple thresholds NARDL approach.

Authors:  Hicham Ayad; Salah Eddin Sari-Hassoun; Muhammad Usman; Paiman Ahmad
Journal:  Environ Sci Pollut Res Int       Date:  2022-08-03       Impact factor: 5.190

9.  Sustainable construction through energy management practices: an integrated hierarchal framework of drivers in the construction sector.

Authors:  Muzaffar Iqbal; Junhai Ma; Navieed Ahmad; Kramat Hussain; Muhammad Waqas; Yanjie Liang
Journal:  Environ Sci Pollut Res Int       Date:  2022-07-21       Impact factor: 5.190

10.  Analysis on carbon emissions efficiency differences and optimization evolution of China's industrial system: An input-output analysis.

Authors:  Shuang Wang; Yang Yu; Tangyang Jiang; Jun Nie
Journal:  PLoS One       Date:  2022-03-24       Impact factor: 3.240

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