2024
DOI: 10.1016/j.ecolind.2024.111596
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A new model based on coupling coordination analysis incorporates the development rate for urbanization and ecosystem services assessment: A case of the Yangtze River Delta

Zhijie Yang,
Jingxuan Hu,
Zian Wang
et al.
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Cited by 10 publications
(2 citation statements)
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“…In the process of selecting indicators, to reduce the interference of subjective factors [19,20], the entropy weight method was used to weight each indicator (Table 1). The main calculation steps are as follows: The collaborative operation level between subsystems can be reflected by the coupling coordination degree [21,22]. According to the comprehensive evaluation results, a coupling coordination degree model for economic development, the production-living-ecological functions of the land, and the ecological quality of the research area was constructed, as follows:…”
Section: Entropy Weight Methodsmentioning
confidence: 99%
“…In the process of selecting indicators, to reduce the interference of subjective factors [19,20], the entropy weight method was used to weight each indicator (Table 1). The main calculation steps are as follows: The collaborative operation level between subsystems can be reflected by the coupling coordination degree [21,22]. According to the comprehensive evaluation results, a coupling coordination degree model for economic development, the production-living-ecological functions of the land, and the ecological quality of the research area was constructed, as follows:…”
Section: Entropy Weight Methodsmentioning
confidence: 99%
“…The coupling coordination degree can not only test the degree of coordinated development of different variables, but also re ect the degree of in uence of variables within the region. Taking the RE and AOD involved in this study as an example: areas with high coupling coordination have higher (lower) risks of rainfall erosion and air pollution, while areas with low coupling coordination have only one type of higher risk (Yang et al 2024).…”
Section: Coupling Coordination Calculationmentioning
confidence: 99%