Analyzing Resource and Environment Carrying Capacity of Kunming City Based on Fuzzy Matter–Element Model

Mengya Zhang, Shucheng Tan (), Jinxuan Zhou, Chao Wang and Feipeng Liu
Additional contact information
Mengya Zhang: School of Earth Sciences, Yunnan University, Kunming 650500, China
Shucheng Tan: School of Earth Sciences, Yunnan University, Kunming 650500, China
Jinxuan Zhou: Institute of International Rivers and Eco-Security, Yunnan University, Kunming 650500, China
Chao Wang: Institute of International Rivers and Eco-Security, Yunnan University, Kunming 650500, China
Feipeng Liu: Institute of International Rivers and Eco-Security, Yunnan University, Kunming 650500, China

Sustainability, 2023, vol. 15, issue 13, 1-20

Abstract: The determination of the sustainable development of a region requires estimating its carrying capacity in terms of resources and environment. It is essential to investigate the carrying capacity of Kunming City to comprehend its rapid development and create a resource and environment-friendly society. This research involved the selection of a set of 35 evaluation indicators from three categories: resources, environment, and social economy. These indicators were chosen based on statistical data obtained from Kunming City between 2011 and 2020. An evaluation system was established using the entropy weight method to determine the weight of these indicators. Subsequently, the fuzzy matter–element analysis method was utilized to construct the European closeness model of Kunming’s resource and environmental carrying capacity. The correlation between the carrying capacity of resources and environment and sub-carrying capacities was analyzed using Pearson’s correlation coefficient to determine the degree of influence of different aspects on the carrying capacity of resources and environment in Kunming. The results show a consistent upward trend in the carrying capacity of resources and environment in Kunming City from 2011 to 2019. However, in 2020, due to national policy adjustments and the impact of COVID-19 on the social economy, the resource and environment carrying capacity index in Kunming City slightly decreased.

Keywords: fuzzy matter–element model; entropy weight method; resources and environment carrying capability; Kunming City (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/15/13/10691/pdf (application/pdf)
https://www.mdpi.com/2071-1050/15/13/10691/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:13:p:10691-:d:1188543

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().