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Research on the Influence Mechanism of Factor Misallocation on the Transformation Efficiency of Resource-Based Cities Based on the Optimization Direction Function Calculation Method

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  • Runqun Yu

    (School of Economics and Management, Dalian Jiaotong University, Dalian 116028, China)

  • Zhuoyang Luo

    (School of Economics and Management, Dalian Jiaotong University, Dalian 116028, China)

Abstract

Reasonable evaluation of the transformation efficiency of resource-based cities can provide a reliable basis for correcting factor misallocation and optimizing factor allocation. This study improves the directional distance function from the aspects of direction vector endogeneity, relative distance and exogenous weight. Based on the improved model, the data of China’s prefecture-level cities from 2003 to 2018 are used to measure and compare the transformation efficiency of resource-based cities and non-resource-based cities. By setting different exogenous weights, the transformation efficiency considering the total factor and the transformation efficiency only considering the energy factor are obtained. Further comparative analysis shows that the two transformation efficiencies of resource-based cities are lower than those of non-resource-based cities, and the two keep the same change trend. Whether it is a resource-based city or a non-resource-based city, the level of transformation efficiency that only considers energy factors is lower. Further, this study decomposes the transformation efficiency of resource-based cities according to the three dimensions of transformation efficiency and finds that the energy efficiency, output efficiency and environmental efficiency of China’s resource-based cities are different, and the transformation efficiency in the three dimensions of energy conservation, economic growth and environmental friendliness is also different.

Suggested Citation

  • Runqun Yu & Zhuoyang Luo, 2023. "Research on the Influence Mechanism of Factor Misallocation on the Transformation Efficiency of Resource-Based Cities Based on the Optimization Direction Function Calculation Method," Sustainability, MDPI, vol. 15(12), pages 1-22, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:12:p:9800-:d:1174684
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    1. Ziyan Zheng & Fangdao Qiu & Xinlin Zhang, 2020. "Heterogeneity of correlation between the locational condition and industrial transformation of regenerative resource‐based cities in China," Growth and Change, Wiley Blackwell, vol. 51(2), pages 771-791, June.
    2. Xiaohua Song & Caiping Zhao & Jingjing Han & Qi Zhang & Jinpeng Liu & Yuanying Chi, 2020. "Measurement and Influencing Factors Research of the Energy and Power Efficiency in China: Based on the Supply-Side Structural Reform Perspective," Sustainability, MDPI, vol. 12(9), pages 1-23, May.
    3. Tao, Feng & Zhang, Huiqin & Hu, Jun & Xia, X.H., 2017. "Dynamics of green productivity growth for major Chinese urban agglomerations," Applied Energy, Elsevier, vol. 196(C), pages 170-179.
    4. Long, Ruyin & Chen, Hong & Li, Huijuan & Wang, Fei, 2013. "Selecting alternative industries for Chinese resource cities based on intra- and inter-regional comparative advantages," Energy Policy, Elsevier, vol. 57(C), pages 82-88.
    5. Adams, Clare & Frantzeskaki, Niki & Moglia, Magnus, 2023. "Mainstreaming nature-based solutions in cities: A systematic literature review and a proposal for facilitating urban transitions," Land Use Policy, Elsevier, vol. 130(C).
    6. Yang, Yuying & Guo, Haixiang & Chen, Linfei & Liu, Xiao & Gu, Mingyun & Ke, Xiaoling, 2019. "Regional analysis of the green development level differences in Chinese mineral resource-based cities," Resources Policy, Elsevier, vol. 61(C), pages 261-272.
    7. Sara Calligaris, 2015. "Misallocation and Total Factor Productivity in Italy: Evidence from Firm-Level Data," LABOUR, CEIS, vol. 29(4), pages 367-393, December.
    8. Gaolan Hou & Zhou Zou & Tianran Zhang & Yue Meng, 2019. "Analysis of the Effect of Industrial Transformation of Resource-Based Cities in Northeast China," Economies, MDPI, vol. 7(2), pages 1-22, May.
    9. Woo, Wing Thye, 2019. "China's soft budget constraint on the demand-side undermines its supply-side structural reforms," China Economic Review, Elsevier, vol. 57(C).
    10. Feng, Rui & Shen, Chen & Dai, Dandan & Xin, Yaru, 2023. "Examining the spatiotemporal evolution, dynamic convergence and drivers of green total factor productivity in China’s urban agglomerations," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 744-764.
    11. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    12. Alwyn Young, 2003. "Gold into Base Metals: Productivity Growth in the People's Republic of China during the Reform Period," Journal of Political Economy, University of Chicago Press, vol. 111(6), pages 1220-1261, December.
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