Literature DB >> 35098460

China's investment in energy industry to neutralize carbon emissions: evidence from provincial data.

Shenzhou Luan1, Muzzammil Hussain2,3, Sher Ali4, Syed Rahim5.   

Abstract

Investment in the new energy industry (IEI) and industrial pollution prevention (IPP) is an emerging strategy for carbon neutrality. However, little attention has been paid to exploring its direct linkage with environmental degradation. Therefore, the present study is an effort to contribute to a thin body of literature by recruiting IPP and IEI in China's provincial-level carbon emissions (CO2). With the use of the latest maximum data from 1998 to 2017, the long-run relationships are estimated through "augmented mean group estimator (AMG), panel fully modified ordinary least square (FMOLS), dynamic ordinary least square (DOLS), and Pairwise Dumitrescu Hurlin (DH) Panel Causality Tests." According to the above-stated econometric techniques, IEI and IPP negatively affect CO2 emissions, which means the reduction in environmental degradation. The study also validates the environmental Kuznets curve (EKC) hypothesis for 30 provinces of China. Additionally, IPP shows the long-run unidirectional causal relationship with CO2 emissions, while income level has a bidirectional causal relationship with CO2 emissions. Findings have robust policy implications for China's provinces.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Carbon emissions; China; Industrial pollution prevention; Investment in the energy industry

Mesh:

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Year:  2022        PMID: 35098460     DOI: 10.1007/s11356-021-18141-7

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


  1 in total

1.  Linkage of natural resources, economic policies, urbanization, and the environmental Kuznets curve.

Authors:  Muzzammil Hussain; Ali Abbas; Shahid Manzoor; Ye Chengang
Journal:  Environ Sci Pollut Res Int       Date:  2022-08-02       Impact factor: 5.190

  1 in total

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