2019
DOI: 10.3390/su11010280
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Measurement of Regional Green Economy Sustainable Development Ability Based on Entropy Weight-Topsis-Coupling Coordination Degree—A Case Study in Shandong Province, China

Abstract: Traditional development models are being slowly replaced by green economic development models. This paper views regional green economic development as a large complex system and develops a conceptual DPSIR (drivers, pressures, state, impact, response model of intervention) to construct a regional green economy development measurement index system, after which an entropy weight-TOPSIS-coupling coordination degree evaluation model is developed to quantitatively horizontally and vertically analyze regional green … Show more

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Cited by 101 publications
(74 citation statements)
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“…However, there are some limitations to this paper. Actually, a number of researchers have utilized the entropy method to weigh the indicators of a composite index, like Ma et al [29], Wang et al [46], and so on, but no one has compared the equal-weighted method with the entropy method. Honestly, it is difficult to compare the old method with the new method, and hard to say which one is better.…”
Section: Discussionmentioning
confidence: 99%
See 2 more Smart Citations
“…However, there are some limitations to this paper. Actually, a number of researchers have utilized the entropy method to weigh the indicators of a composite index, like Ma et al [29], Wang et al [46], and so on, but no one has compared the equal-weighted method with the entropy method. Honestly, it is difficult to compare the old method with the new method, and hard to say which one is better.…”
Section: Discussionmentioning
confidence: 99%
“…The entropy method is a method used to calculate the weight of each indicator in a composite indicators system, based on the idea of entropy from basic information theory. Specifically, information is a measure of the degree of order in a system and entropy is a measure of the degree of disorder in a system; therefore, the smaller the indicator information entropy, the greater the information provided by the indicator, the greater its effect in the comprehensive evaluation, and the higher the weight [45,46]. According to Zhang et al [45], the weight calculated by the entropy method represents the relative rate of change of the indicator in a composite indicators system, while the relative level of each indicator should be figured by the standardized value of its data.…”
Section: Entropy Methods For Calculating the Weights Of Indicatorsmentioning
confidence: 99%
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“…where represents the value of the j-th indicator of the i-th town. Given the fact that indicators presented different magnitudes and dimensions, all the indicators were primarily normalized according to their orientation [64,65]. The normalization process of indicators could be expressed as Equations (3) Zhu et al calculated the weight of maximum precipitation and maximum wind speed in typhoon disaster with the former being 0.78 and latter being 0.43 [63], and established a comprehensive index of typhoon precipitation and wind speed (Equation (1)):…”
Section: Data Normalization and Weightingmentioning
confidence: 99%
“…where x ij represents the value of the j-th indicator of the i-th town. Given the fact that indicators presented different magnitudes and dimensions, all the indicators were primarily normalized according to their orientation [64,65]. The normalization process of indicators could be expressed as Equations (3) and (4).…”
Section: Data Normalization and Weightingmentioning
confidence: 99%