Gao, X., Shi, C. and Zhai, K. (2018) An evaluation of environmental governance in urban China based on a hesitant fuzzy linguistic analytic network process. International Journal of Environmental Research and Public Health, 15(11), 2456. (doi: 10.3390/ijerph15112456) (PMID:30400368) (PMCID:PMC6266594)
Text
173869.pdf - Published Version Available under License Creative Commons Attribution. 798kB |
Abstract
The aim of this study is to evaluate the performance of urban environmental governance by developing hesitant fuzzy linguistic analytic network process (HFL-ANP). The study bridges the gaps in current knowledge in the following ways: the study methodically develops the HFL-ANP method to evaluate and pick the optimal environmental governance strategy from alternatives; theoretically, network structure of evaluation indicators system on environmental governance is constructed, and the objective and subjective information in the evaluation process of environmental governance is combined. In detail, based on the environmental Kuznets curve (EKC) and the pollution haven hypothesis, the paper constructs the evaluation indexes system of environmental governance and takes observation time length into consideration. Then, we choose three urban cases of environmental governance by exploring the existing literature. Furthermore, we develop the HFL-ANP method and apply it to the cases. The study calculates the initial weights of all indexes by using multiplicative consistency of the HFL preference relation, and derives the decision matrix through combining objective information with subjective information of environmental governance. Finally, we come to the following conclusions: ANP network stricture is close to real-world practical problems and provides the basis for HFL-ANP method; HFL-ANP is a very suitable method of assessing environmental governance; and based on the urban cases of environmental governance, Shanghai is the optimal alternative. In addition, this indicator system can only be applied to cities in China, and the administrative hierarchy of policies has not been considered by this method. Thus, future studies should expand this method and indicator network to contain different countries and different administrative hierarchy.
Item Type: | Articles |
---|---|
Additional Information: | The study was funded by National Nature Science Foundation of China (Grant No. 51808392). |
Keywords: | HFL-ANP, control indexes, environmental governance, information, network structure. |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Zhai, Keyu |
Authors: | Gao, X., Shi, C., and Zhai, K. |
College/School: | College of Social Sciences > School of Education |
Journal Name: | International Journal of Environmental Research and Public Health |
Publisher: | MDPI |
ISSN: | 1661-7827 |
ISSN (Online): | 1660-4601 |
Published Online: | 04 November 2018 |
Copyright Holders: | Copyright © 2018 The Authors |
First Published: | First published in International Journal of Environmental Research and Public Health 15(11): 2456 |
Publisher Policy: | Reproduced under a Creative Commons License |
University Staff: Request a correction | Enlighten Editors: Update this record