Back to Search Start Over

Exploring the asymmetric determinants of consumption and production-based CO 2 emissions in China.

Authors :
Hafeez M
Yang J
Jadoon AK
Zahan I
Salahodjaev R
Source :
Environmental science and pollution research international [Environ Sci Pollut Res Int] 2022 Sep; Vol. 29 (43), pp. 65423-65431. Date of Electronic Publication: 2022 Apr 29.
Publication Year :
2022

Abstract

Environmental pollution has intensified significantly in the last few decades. Policymakers have considered this issue due to its direct influence on human lives throughout the globe. This study explores the asymmetric determinants of consumption-based and production-based CO <subscript>2</subscript> emissions for China, for time horizon 1990-2019. ARDL and NARDL regression approaches have been adopted for empirical investigation. The ARDL regression method reveals that GDP does not produce any impact on production-based and consumption-based CO <subscript>2</subscript> emissions, while energy use contributes as an increasing determinant of consumption-based and production-based CO <subscript>2</subscript> emissions in the long-run. The NARDL regression method reveals that a positive shock in GDP is beneficial for a decline of consumption-based CO <subscript>2</subscript> emissions, while it does not reduce production-based CO <subscript>2</subscript> emissions in the long-run. However, negative shock in GDP contributes as an increasing determinant of consumption-based CO <subscript>2</subscript> emissions. Results also report that positive shock in energy use behaves as an increasing agent of consumption-based and production-based CO <subscript>2</subscript> emissions in the long-run, while negative shock in energy use produces a decline in production-based CO <subscript>2</subscript> emissions in the long-run. Thus, policymakers should adopt such demand and supply sides' management policies that contribute to controlling CO <subscript>2</subscript> emissions.<br /> (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Details

Language :
English
ISSN :
1614-7499
Volume :
29
Issue :
43
Database :
MEDLINE
Journal :
Environmental science and pollution research international
Publication Type :
Academic Journal
Accession number :
35484460
Full Text :
https://doi.org/10.1007/s11356-022-20448-y