Research on a Coordination Evaluation and Prediction Model of Water Use and Industrial Ecosystem Development
Jing Wang,
Liang Zhang,
Huiping Zhang and
Ying Zhang ()
Additional contact information
Jing Wang: School of Economics and Management, Yanshan University, Qinhuangdao 066004, China
Liang Zhang: School of Economics and Management, Yanshan University, Qinhuangdao 066004, China
Huiping Zhang: School of Economics and Management, Yanshan University, Qinhuangdao 066004, China
Ying Zhang: LiRen College, Yanshan University, Qinhuangdao 066004, China
IJERPH, 2023, vol. 20, issue 3, 1-15
Abstract:
Coordinating the relationship between water use and industrial ecosystem development is the key to ensuring high-quality and sustainable development of the industrial economy. In this paper, a model was proposed for evaluating and predicting the coordination between water use and industrial ecosystem development. First, aiming at the coordination of water use and industrial ecosystem development, this paper determined 15 indicators from the aspects of water demand and supply, water conservation and environmental protection, industrial sustainable development, input and output, and industrial development status. The combination weighting method based on game theory was used to determine the weight of the evaluation index. Then, the coordination evaluation model called the back propagation neural network (BP)–coupling coordination degree model (CCDM) and the coordination prediction model called gray models (GM)–BP–CCDM were established. Finally, the model was applied to the coordination evaluation and prediction of water use and industrial ecosystem development in the Hebei Province, China. The results show that the coordination degree of cities in the Hebei Province is moderate. Therefore, based on the research results, some scientific and reasonable suggestions for water resources utilization and industrial ecosystem development were put forward.
Keywords: water resources utilization; industrial ecosystem development; combined empowerment method; BP–CCDM model; GM–BP–CCDM model (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.mdpi.com/1660-4601/20/3/2381/pdf (application/pdf)
https://www.mdpi.com/1660-4601/20/3/2381/ (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:jijerp:v:20:y:2023:i:3:p:2381-:d:1050259
Access Statistics for this article
IJERPH is currently edited by Ms. Jenna Liu
More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().