Empirics on influencing mechanisms among energy, finance, trade, environment, and economic growth: a heterogeneous dynamic panel data analysis of China.

China Dynamic common correlated effects mean group Energy consumption Environment Financial development International trade

Journal

Environmental science and pollution research international
ISSN: 1614-7499
Titre abrégé: Environ Sci Pollut Res Int
Pays: Germany
ID NLM: 9441769

Informations de publication

Date de publication:
May 2019
Historique:
received: 25 10 2018
accepted: 21 02 2019
pubmed: 13 3 2019
medline: 20 6 2019
entrez: 13 3 2019
Statut: ppublish

Résumé

The current study empirically examines the influencing mechanisms among energy consumption, financial development, international trade, environment, and economic growth for 29 Chinese provinces and cities for periods 1997 to 2016. A new augmented growth model has been developed, introducing financial development as a shift factor of aggregate production, international trade as determinant of total factor productivity, and energy consumption as input of production function. The key empirical findings include (1) financial development exposed dual nature in terms of its influence on energy consumption and carbon emissions. Banking-based financial development is revealed to add in energy consumption and carbon emissions, while stock market-based financial development curtailed energy consumption and mitigated the carbon emissions, improving the environmental quality, (2) GDP growth is uncovered to add to international trade with varying magnitudes in all samples; however international trade imparted negative to neutral to positive influence on GDP growth in W-region, C-region, and E-region, respectively. It is named as competitiveness driven growth deceleration/neutrality/acceleration influence. It states that as regions/countries develop, the domestic industry gets competitive in international trade markets; consequently, the influence of international trade on economic growth transforms from negative to neutral to positive, (3) both type of financial development measures imparted significant positive influence on GDP growth which confirms the Schumpeterian view to be valid in regional China, (4) based on causality from quadratic terms of GDP, international trade, and financial development ratio to carbon emissions growth confirm the existence of conventional EKC as well as international trade and financial development based EKC in all regions except W-region for which conventional EKC and international trade based EKC are not confirmed. Finally, based on empirical influencing mechanisms, the relevant policies are recommended.

Identifiants

pubmed: 30859439
doi: 10.1007/s11356-019-04673-6
pii: 10.1007/s11356-019-04673-6
doi:

Substances chimiques

Carbon Dioxide 142M471B3J
Carbon 7440-44-0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

14148-14170

Références

Environ Sci Pollut Res Int. 2015 Dec;22(24):19773-85
pubmed: 26282441
Environ Sci Pollut Res Int. 2016 Oct;23(20):21041-21057
pubmed: 27488719
Environ Sci Pollut Res Int. 2017 Jul;24(21):17616-17625
pubmed: 28597097
Environ Sci Pollut Res Int. 2018 May;25(15):15057-15067
pubmed: 29552722
Environ Sci Pollut Res Int. 2018 Jun;25(17):16825-16841
pubmed: 29619637
Environ Sci Pollut Res Int. 2018 Oct;25(30):30617-30632
pubmed: 30178401
Environ Sci Pollut Res Int. 2019 Mar;26(7):6758-6772
pubmed: 30632043
Sci Total Environ. 2019 Mar 20;657:1085-1098
pubmed: 30677876

Auteurs

Munir Ahmad (M)

Beijing Key Laboratory of New Energy and Low-Carbon Development, School of Economics and Management, North China Electric Power University, Beijing, 102206, China. munirahmad@ncepu.edu.cn.

Zhen-Yu Zhao (ZY)

Beijing Key Laboratory of New Energy and Low-Carbon Development, School of Economics and Management, North China Electric Power University, Beijing, 102206, China. zhaozhenyuxm@263.net.

Muhammad Irfan (M)

Beijing Key Laboratory of New Energy and Low-Carbon Development, School of Economics and Management, North China Electric Power University, Beijing, 102206, China.

Marie Claire Mukeshimana (MC)

Beijing Key Laboratory of New Energy and Low-Carbon Development, School of Economics and Management, North China Electric Power University, Beijing, 102206, China.

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Classifications MeSH