 Hybrid model for evaluating the transformation of China’s resource-based citiesSong Pu and Chang Xia Socio-Economic Planning Sciences, 2024, vol. 95, issue C Abstract: This paper constructs a new and proposes a novel hybrid model combining multi-criteria decision making (MCDM) model and variability for multi-periods as well as the approaches to select the best specific hybrid model. A case study based on 17 RBCs in three provinces of southwest of China for 2012–2020 indicates that the transformation efficiency of most RBCs is between 0.400 and 0.600. More specifically, 12 out of 17 RBCs have a positive variability direction with the biggest variability value less than 0.039. Sichuan has an obvious downward trend with a decreased rate of 9.13%, while Yunnan and Guizhou increase by 10.50% and 6.43%, respectively. The transformation efficiency of mature cities is the worst, while the only recession city is the best. The transformation efficiency of RBCs has the highest correlation with the freight volume, other indicators including unemployment rate, ratio of GDP growth, fiscal revenue, average annual population and unemployment rate are high correlation with the transformation efficiency. Keywords: Resource-based cities; Transformation; Hybrid model; Method selection (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:soceps:v:95:y:2024:i:c:s0038012124001460 DOI: 10.1016/j.seps.2024.101947 Access Statistics for this article Socio-Economic Planning Sciences is currently edited by Barnett R. Parker More articles in Socio-Economic Planning Sciences from Elsevier |
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