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基于 BWM-mV 模型的环境共治评价框架识别资源约束型城市的改进路径。

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

机构信息

School of Business, Quzhou University, Kecheng District, Quzhou 324000, China.

E-Commerce Research Center, Pingxiang University, Anyuan District, Pingxiang 337055, China.

出版信息

Int J Environ Res Public Health. 2021 May 7;18(9):4969. doi: 10.3390/ijerph18094969.

DOI:10.3390/ijerph18094969
PMID:34067083
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8124572/
Abstract

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 () and smooth joint decision-making by stakeholders ().

摘要

全球变暖及极端天气使人们对环境破坏问题的关注度日益提高。在可持续发展领域,环境治理受到了相当多的学术关注。然而,保护环境和改善环境不仅需要大量的资金投入,还需要利益相关者之间的合作。因此,基于利益相关者的网络结构,本文将最佳最差法(BWM)和修正的 VIšekriterijumska Optimizacija I Kompromisno Resenje(Vlsekriterijumska Optimizacija I Kompromisno Resenje,简称 VIKOR)方法相结合,形成了一个环境共治评估框架,可以通过数据分析来评估各种政策的效果,并识别进一步改进的策略(以下简称 BWM-mV 模型)。该机制不仅有助于评估环境治理政策的有效性,还可以为增强这些政策提出建议。因此,BWM-mV 模型特别适用于在时间、资金或劳动力方面资源有限的地方政府。萍乡市政府目前就受到了这些限制,因此被选为实证案例研究的对象。研究结果表明,萍乡市政府急需改进的方面(即标准)涉及高质量的信息沟通平台()和利益相关者的顺畅联合决策()。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cd4/8124572/ebc730ae30fc/ijerph-18-04969-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cd4/8124572/aea233af9edf/ijerph-18-04969-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cd4/8124572/4e11a43d0bd6/ijerph-18-04969-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cd4/8124572/4467e7353417/ijerph-18-04969-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cd4/8124572/5af3d665a718/ijerph-18-04969-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cd4/8124572/ebc730ae30fc/ijerph-18-04969-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cd4/8124572/aea233af9edf/ijerph-18-04969-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cd4/8124572/4e11a43d0bd6/ijerph-18-04969-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cd4/8124572/4467e7353417/ijerph-18-04969-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cd4/8124572/5af3d665a718/ijerph-18-04969-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cd4/8124572/ebc730ae30fc/ijerph-18-04969-g005.jpg

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本文引用的文献

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Ranking effect in air pollution governance: Evidence from Chinese cities.空气污染治理中的排名效应:来自中国城市的证据。
J Environ Manage. 2019 Dec 1;251:109600. doi: 10.1016/j.jenvman.2019.109600. Epub 2019 Sep 30.
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Developing a Sustainable Long-Term Ageing Health Care System Using the DANP-mV Model: Empirical Case of Taiwan.利用 DANP-mV 模型构建可持续的长期老年保健系统:以台湾为例的实证研究。
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Use of a Modified DANP-mV Model to Improve Quality of Life in Rural Residents: The Empirical Case of Xingshisi Village, China.运用修正的 DANP-mV 模型提升农村居民生活质量:以中国兴诗寺村为例。
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