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Improvement Path for Resource-Constrained Cities Identified Using an Environmental Co-Governance Assessment Framework Based on BWM-mV Model

Global warming and extreme weather have increased most people’s awareness of the problem of environmental destruction. In the domain of sustainable development, environmental governance has received considerable scholarly attention. However, protecting and improving the environment requires not only...

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Autores principales: Wang, Jian, Huang, Jin-Chun, Huang, Shan-Lin, Tzeng, Gwo-Hshiung, Zhu, Ting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8124572/
https://www.ncbi.nlm.nih.gov/pubmed/34067083
http://dx.doi.org/10.3390/ijerph18094969
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author Wang, Jian
Huang, Jin-Chun
Huang, Shan-Lin
Tzeng, Gwo-Hshiung
Zhu, Ting
author_facet Wang, Jian
Huang, Jin-Chun
Huang, Shan-Lin
Tzeng, Gwo-Hshiung
Zhu, Ting
author_sort Wang, Jian
collection PubMed
description Global warming and extreme weather have increased most people’s awareness of the problem of environmental destruction. In the domain of sustainable development, environmental governance has received considerable scholarly attention. However, protecting and improving the environment requires not only substantial capital investment but also cooperation among stakeholders. Therefore, based on the network structure of stakeholders, the best–worst method (BWM) and modified Vlsekriterijumska Optimizacija I Kompromisno Resenje method were combined to form an environmental co-governance assessment framework that can be used to evaluate the effects of various policies and identify strategies for further improvement through data analysis (henceforth the BWM-mV model). This mechanism is not only useful for evaluating the effectiveness of environmental governance policies but also for generating suggestions to enhance these policies. Hence, the BWM-mV model is particularly suitable for local governments with limited resources in time, money, or labor. Pingxiang City Government is currently subject to such limitations and was therefore selected as the subject of an empirical case study. The results of this study revealed that the aspects (i.e., criteria) the Pingxiang City Government should urgently improve on pertain to a high-quality information communication platform (C(13)) and smooth joint decision-making by stakeholders (C(24)).
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spelling pubmed-81245722021-05-17 Improvement Path for Resource-Constrained Cities Identified Using an Environmental Co-Governance Assessment Framework Based on BWM-mV Model Wang, Jian Huang, Jin-Chun Huang, Shan-Lin Tzeng, Gwo-Hshiung Zhu, Ting Int J Environ Res Public Health Article Global warming and extreme weather have increased most people’s awareness of the problem of environmental destruction. In the domain of sustainable development, environmental governance has received considerable scholarly attention. However, protecting and improving the environment requires not only substantial capital investment but also cooperation among stakeholders. Therefore, based on the network structure of stakeholders, the best–worst method (BWM) and modified Vlsekriterijumska Optimizacija I Kompromisno Resenje method were combined to form an environmental co-governance assessment framework that can be used to evaluate the effects of various policies and identify strategies for further improvement through data analysis (henceforth the BWM-mV model). This mechanism is not only useful for evaluating the effectiveness of environmental governance policies but also for generating suggestions to enhance these policies. Hence, the BWM-mV model is particularly suitable for local governments with limited resources in time, money, or labor. Pingxiang City Government is currently subject to such limitations and was therefore selected as the subject of an empirical case study. The results of this study revealed that the aspects (i.e., criteria) the Pingxiang City Government should urgently improve on pertain to a high-quality information communication platform (C(13)) and smooth joint decision-making by stakeholders (C(24)). MDPI 2021-05-07 /pmc/articles/PMC8124572/ /pubmed/34067083 http://dx.doi.org/10.3390/ijerph18094969 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Jian
Huang, Jin-Chun
Huang, Shan-Lin
Tzeng, Gwo-Hshiung
Zhu, Ting
Improvement Path for Resource-Constrained Cities Identified Using an Environmental Co-Governance Assessment Framework Based on BWM-mV Model
title Improvement Path for Resource-Constrained Cities Identified Using an Environmental Co-Governance Assessment Framework Based on BWM-mV Model
title_full Improvement Path for Resource-Constrained Cities Identified Using an Environmental Co-Governance Assessment Framework Based on BWM-mV Model
title_fullStr Improvement Path for Resource-Constrained Cities Identified Using an Environmental Co-Governance Assessment Framework Based on BWM-mV Model
title_full_unstemmed Improvement Path for Resource-Constrained Cities Identified Using an Environmental Co-Governance Assessment Framework Based on BWM-mV Model
title_short Improvement Path for Resource-Constrained Cities Identified Using an Environmental Co-Governance Assessment Framework Based on BWM-mV Model
title_sort improvement path for resource-constrained cities identified using an environmental co-governance assessment framework based on bwm-mv model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8124572/
https://www.ncbi.nlm.nih.gov/pubmed/34067083
http://dx.doi.org/10.3390/ijerph18094969
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