IDEAS home Printed from https://ideas.repec.org/a/eee/soceps/v95y2024ics0038012124001460.html
   My bibliography  Save this article

Hybrid model for evaluating the transformation of China’s resource-based cities

Author

Listed:
  • Pu, Song
  • Xia, Chang

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.

Suggested Citation

  • Pu, Song & Xia, Chang, 2024. "Hybrid model for evaluating the transformation of China’s resource-based cities," Socio-Economic Planning Sciences, Elsevier, vol. 95(C).
    • Handle: RePEc:eee:soceps:v:95:y:2024:i:c:s0038012124001460
    DOI: 10.1016/j.seps.2024.101947
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0038012124001460
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.seps.2024.101947?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Xiao, Huijuan & Wang, Daoping & Qi, Yu & Shao, Shuai & Zhou, Ya & Shan, Yuli, 2021. "The governance-production nexus of eco-efficiency in Chinese resource-based cities: A two-stage network DEA approach," Energy Economics, Elsevier, vol. 101(C).
    2. Alberto Garre & Geraldine Boué & Pablo S. Fernández & Jeanne‐Marie Membré & Jose A. Egea, 2020. "Evaluation of Multicriteria Decision Analysis Algorithms in Food Safety: A Case Study on Emerging Zoonoses Prioritization," Risk Analysis, John Wiley & Sons, vol. 40(2), pages 336-351, February.
    3. Liu, Er-na & Wang, Yanan & Chen, Wei & Chen, Wenjun & Ning, Siyin, 2021. "Evaluating the transformation of China's resource-based cities: An integrated sequential weight and TOPSIS approach," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
    4. Long, Ruyin & Li, Haifeng & Wu, Meifen & Li, Wenbo, 2021. "Dynamic evaluation of the green development level of China's coal-resource-based cities using the TOPSIS method," Resources Policy, Elsevier, vol. 74(C).
    5. Huang, Wencheng & Zhang, Yue & Yu, Yaocheng & Xu, Yifei & Xu, Minhao & Zhang, Rui & De Dieu, Gatesi Jean & Yin, Dezhi & Liu, Zhanru, 2021. "Historical data-driven risk assessment of railway dangerous goods transportation system: Comparisons between Entropy Weight Method and Scatter Degree Method," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
    6. Liu, Biao & Wang, Jinman & Jing, Zhaorui & Tang, Qian, 2020. "Measurement of sustainable transformation capability of resource-based cities based on fuzzy membership function: A case study of Shanxi Province, China," Resources Policy, Elsevier, vol. 68(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liu, Biao & Wang, Jinman & Feng, Yu & Yang, Man & Mu, Jiayin, 2024. "Mitigating the disparities in carbon emission efficiency enhancement in China's coal resource-based cities," Energy, Elsevier, vol. 307(C).
    2. Wang, Kai & Chen, Xi & Wang, Chenye, 2023. "The impact of sustainable development planning in resource-based cities on corporate ESG–Evidence from China," Energy Economics, Elsevier, vol. 127(PA).
    3. Xu, Fei & Li, Qiangyi & Yang, Mian, 2022. "The impacts of high-speed rail on the transformation of resource-based cities in China: A market segmentation perspective," Resources Policy, Elsevier, vol. 78(C).
    4. Jing Zhu & Xuetao Li & Xiaochun Zeng & Kaiyang Zhong & Yifan Xu, 2022. "Cultivated Land-Use Benefit Evaluation and Obstacle Factor Identification: Empirical Evidence from Northern Hubei, China," Land, MDPI, vol. 11(9), pages 1-19, August.
    5. Mingkai Liu & Changxin Liu & Xiaodong Pei & Shouting Zhang & Xun Ge & Hongyan Zhang & Yang Li, 2021. "Sustainable Risk Assessment of Resource Industry at Provincial Level in China," Sustainability, MDPI, vol. 13(8), pages 1-15, April.
    6. Shang, Hua & Jiang, Li & Pan, Xianyou & Pan, Xiongfeng, 2022. "Green technology innovation spillover effect and urban eco-efficiency convergence: Evidence from Chinese cities," Energy Economics, Elsevier, vol. 114(C).
    7. Jing Ma & Young-Gyun Ahn & Min-Kyu Lee, 2022. "The Interactive Influence of Institutional Quality and Resource Dependence on Regional Economic Growth: Evidence from China’s Resource-Based Provinces," Sustainability, MDPI, vol. 14(10), pages 1-15, May.
    8. Rui Zhang & Yong Ma & Jie Ren, 2022. "Green Development Performance Evaluation Based on Dual Perspectives of Level and Efficiency: A Case Study of the Yangtze River Economic Belt, China," IJERPH, MDPI, vol. 19(15), pages 1-24, July.
    9. Izdebski, Mariusz & Jacyna-Gołda, Ilona & Gołda, Paweł, 2022. "Minimisation of the probability of serious road accidents in the transport of dangerous goods," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    10. Heng Zhang & Qian Chang & Sui Li & Jiandong Huang, 2022. "Determining the Efficiency of the Sponge City Construction Pilots in China Based on the DEA-Malmquist Model," IJERPH, MDPI, vol. 19(18), pages 1-17, September.
    11. Huang, Wencheng & Yin, Dezhi & Xu, Yifei & Zhang, Rui & Xu, Minhao, 2022. "Using N-K Model to quantitatively calculate the variability in Functional Resonance Analysis Method," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    12. Hanbin Liu & Yujing Yang & Wenting Jiao & Shaobin Wang & Fangqin Cheng, 2022. "A New Assessment Method for the Redevelopment of Closed Coal Mine—A Case Study in Shanxi Province in China," Sustainability, MDPI, vol. 14(15), pages 1-19, August.
    13. Yiming Wei & Hongwei Wang & Bo Tan & Mengqi Xue & Yucong Yin, 2022. "Analysis of the Spatial Differentiation and Development Optimization of Towns’ Livable Quality in Aksu, China," Sustainability, MDPI, vol. 14(13), pages 1-16, June.
    14. Haochun Yang & Yunyi Liang, 2023. "Examining the Connectivity between Urban Rail Transport and Regular Bus Transport," Sustainability, MDPI, vol. 15(9), pages 1-14, May.
    15. Ha Che-Ngoc & Thach Nguyen-Ngoc & Thao Nguyen-Trang, 2025. "A Novel Window Analysis and Its Application to Evaluating High-Frequency Trading Strategies," Computational Economics, Springer;Society for Computational Economics, vol. 65(2), pages 795-818, February.
    16. Sujuan Li & Jiaguo Liu & Xiyuan Hu, 2023. "A three-dimensional evaluation model for green development: evidence from Chinese provinces along the belt and road," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 11557-11581, October.
    17. Ge, Tao & Li, Chunying & Li, Jinye & Hao, Xionglei, 2023. "Does neighboring green development benefit or suffer from local economic growth targets? Evidence from China," Economic Modelling, Elsevier, vol. 120(C).
    18. Elena Andriollo & Alberto Caimo & Laura Secco & Elena Pisani, 2021. "Collaborations in Environmental Initiatives for an Effective “Adaptive Governance” of Social–Ecological Systems: What Existing Literature Suggests," Sustainability, MDPI, vol. 13(15), pages 1-29, July.
    19. Puertas, Rosa & Guaita-Martinez, José M. & Carracedo, Patricia & Ribeiro-Soriano, Domingo, 2022. "Analysis of European environmental policies: Improving decision making through eco-efficiency," Technology in Society, Elsevier, vol. 70(C).
    20. Bowen Sun & Haibo Wang & Jaime Ortiz & Jun Huang & Can Zhao & Zelang Wang, 2022. "A Decomposed Data Analysis Approach to Assessing City Sustainable Development Performance: A Network DEA Model with a Slack-Based Measure," Sustainability, MDPI, vol. 14(17), pages 1-23, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:soceps:v:95:y:2024:i:c:s0038012124001460. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/seps .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.