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Linkage among Urbanization, energy Consumption, economic growth and carbon Emissions. Panel data analysis for China using ARDL model.

Authors :
Liu, Haichao
Wong, Wing-Keung
The Cong, Phan
Nassani, Abdelmohsen A.
Haffar, Mohamed
Abu-Rumman, Ayman
Source :
Fuel. Jan2023:Part 2, Vol. 332, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

• Short- and long-term impacts of variables were determined using the pooled mean group (PMG) • According to the co-integration test, the research sample was co-integrated. • Urbanization has very little impact on environment, both in short term and over long term. • Immediate as well as long-term effects of human energy use on the ecosystem have been demonstrated. Carbon emissions are well-established as a major contributor to global warming and other climate change effects. This work experimentally explores the influence of energy consumption, economic development, urbanization, and energy consumption on carbon emission utilizing panel cointegration tests and pooled mean group (PMG-ARDL) approaches, drawing on panel data of the Chinese country from 1995 to 2020. We add urbanization to the model to determine its significance in the interplay between GDP growth, energy consumption, and carbon emissions. The results show that urbanization has no appreciable impact on environmental quality either immediately or in the long term. Energy usage, on the other hand, was proven to considerably increase environmental harm both immediately and over time. Further research indicated that environmental distortion is a long-term effect of economic expansion for the countries studied. The key to achieving a green and clean environment is in the hands of government officials and politicians, who must pay close attention to improving appropriate energy, urban planning, and pollution reduction without slowing economic growth. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00162361
Volume :
332
Database :
Academic Search Index
Journal :
Fuel
Publication Type :
Academic Journal
Accession number :
159979103
Full Text :
https://doi.org/10.1016/j.fuel.2022.126122