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Assessment of green economic efficiency in China using analytical hierarchical process (AHP).

Authors :
Naseer, Saira
Song, Huaming
Aslam, Muhammad Shamrooz
Abdul, Daud
Tanveer, Arsalan
Source :
Soft Computing - A Fusion of Foundations, Methodologies & Applications. Mar2022, Vol. 26 Issue 5, p2489-2499. 11p.
Publication Year :
2022

Abstract

Global health, as well as worldwide development regimes, was seriously threatened by the COVID-19 pandemic and Delta variant outbreaks. In addition to pledging to adapt to and mitigate climate change, experts, economists, and policymakers expressed their determination to do so. Green growth and sustainable development have become the focus of policymakers and governments. The progress toward green economic efficiency (GEE), which will benefit the economy, society, and environment, continues. In terms of green growth and development, implementing environmental regulations and policies has been one of the most challenging aspects of the process. China, the world's second-largest economy, has begun its journey to GEE. Nonetheless, the green economy faces many challenges. The objective of the study is to use AHP analysis to analyze environmental regulation and GEE in China. Accordingly, the study identified three alternative approaches to achieve GEE by analyzing four criteria and ten sub-criteria in the context of environmental regulations in China. The analytical hierarchy process (AHP) has been used to rank criteria, sub-criteria, and alternative approaches. According to the model, China's best path to GEE is through resource efficiency and green purchasing strategies. This article offers an insightful assessment of sustainable development in the Chinese economy. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14327643
Volume :
26
Issue :
5
Database :
Academic Search Index
Journal :
Soft Computing - A Fusion of Foundations, Methodologies & Applications
Publication Type :
Academic Journal
Accession number :
155342961
Full Text :
https://doi.org/10.1007/s00500-021-06507-5