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Assessment of green economic efficiency in China using analytical hierarchical process (AHP)
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 sust...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8646018/ https://www.ncbi.nlm.nih.gov/pubmed/34899043 http://dx.doi.org/10.1007/s00500-021-06507-5 |
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author | Naseer, Saira Song, Huaming Aslam, Muhammad Shamrooz Abdul, Daud Tanveer, Arsalan |
author_facet | Naseer, Saira Song, Huaming Aslam, Muhammad Shamrooz Abdul, Daud Tanveer, Arsalan |
author_sort | Naseer, Saira |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8646018 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-86460182021-12-06 Assessment of green economic efficiency in China using analytical hierarchical process (AHP) Naseer, Saira Song, Huaming Aslam, Muhammad Shamrooz Abdul, Daud Tanveer, Arsalan Soft comput Soft Computing in Decision Making and in Modeling in Economics 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. Springer Berlin Heidelberg 2021-12-06 2022 /pmc/articles/PMC8646018/ /pubmed/34899043 http://dx.doi.org/10.1007/s00500-021-06507-5 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Soft Computing in Decision Making and in Modeling in Economics Naseer, Saira Song, Huaming Aslam, Muhammad Shamrooz Abdul, Daud Tanveer, Arsalan Assessment of green economic efficiency in China using analytical hierarchical process (AHP) |
title | Assessment of green economic efficiency in China using analytical hierarchical process (AHP) |
title_full | Assessment of green economic efficiency in China using analytical hierarchical process (AHP) |
title_fullStr | Assessment of green economic efficiency in China using analytical hierarchical process (AHP) |
title_full_unstemmed | Assessment of green economic efficiency in China using analytical hierarchical process (AHP) |
title_short | Assessment of green economic efficiency in China using analytical hierarchical process (AHP) |
title_sort | assessment of green economic efficiency in china using analytical hierarchical process (ahp) |
topic | Soft Computing in Decision Making and in Modeling in Economics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8646018/ https://www.ncbi.nlm.nih.gov/pubmed/34899043 http://dx.doi.org/10.1007/s00500-021-06507-5 |
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