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Industrial Transformation and Urban Economic Efficiency Evolution: An Empirical Study of the Yangtze River Economic Belt

Author

Listed:
  • Yin Dong

    (School of Public Administration, China University of Geosciences, Wuhan 430074, China)

  • Baishu Guo

    (School of Arts and Communication, China University of Geosciences, Wuhan 430074, China)

  • Dawei He

    (Faculty of Resources and Environmental Science, Hubei University, Wuhan 430062, China)

  • Xiaoli Liao

    (Hubei Geological Survey Institute, Wuhan 430030, China)

  • Zhengyu Zhang

    (School of Public Administration, China University of Geosciences, Wuhan 430074, China)

  • Xueqin Wu

    (Guishan Mountain Scenic Area, Wuhan 430050, China)

Abstract

Industrial transformation and high-quality urban development have become the core issues of urban-rural coordination and the leap forward in development in the new era. The research perspective of ‘pattern-process-mechanism’ is needed to reveal the spatiotemporal correlation characteristics of industrial transformation and urban economic efficiency evolution, and to expand its systematic, comprehensive and regional characteristics. Based on the geographical cognitive of local effects and spatial non-stationarity, we used a quantile regression model and a geographically weighted regression model to analyze the dynamic mechanism of industrial transformation and urban economic efficiency to explain the path characteristics of urban development and industrial transformation of the Yangtze River economic belt. The conclusions are as follows: (1) From 2000 to 2015, the average economic efficiency in the Yangtze River economic belt increased from 0.05 to 0.332, and the pattern gradually changed from spatial homogeneity to spatial mosaic; (2) From 2000 to 2015, the range and intensity of industrial transformation in the Yangtze River economic belt showed an increasing trend, while the speed of industrial transformation showed a downward trend, and the high-value unit of the three showed the characteristics of gradual homogenization; (3) From the perspective of the impact of industrial transformation on urban economic efficiency, the impact of the range and speed of industrial transformation on urban economic efficiency was gradually weakened, while the impact of the intensity of industrial transformation on urban economic efficiency was gradually strengthened, and the patterns of the three show the characteristics of a spatially inverted U-shaped distribution with high values in the middle reaches and low values in the upstream and downstream areas.

Suggested Citation

  • Yin Dong & Baishu Guo & Dawei He & Xiaoli Liao & Zhengyu Zhang & Xueqin Wu, 2022. "Industrial Transformation and Urban Economic Efficiency Evolution: An Empirical Study of the Yangtze River Economic Belt," IJERPH, MDPI, vol. 19(7), pages 1-19, March.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:7:p:4154-:d:784273
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    as
    1. Li, Hongkuan & He, Haiyan & Shan, Jiefei & Cai, Jingjing, 2019. "Innovation efficiency of semiconductor industry in China: A new framework based on generalized three-stage DEA analysis," Socio-Economic Planning Sciences, Elsevier, vol. 66(C), pages 136-148.
    2. Xing Li & Chong Liu & Xi Weng & Li-An Zhou, 2019. "Target Setting in Tournaments: Theory and Evidence from China," The Economic Journal, Royal Economic Society, vol. 129(623), pages 2888-2915.
    3. Liu, Yuan & Gao, Hong & Cai, Jiming & Lu, Yang & Fan, Zhenyu, 2022. "Urbanization path, housing price and land finance: International experience and China’s facts," Land Use Policy, Elsevier, vol. 113(C).
    4. Bakirtas, Tahsin & Akpolat, Ahmet Gokce, 2018. "The relationship between energy consumption, urbanization, and economic growth in new emerging-market countries," Energy, Elsevier, vol. 147(C), pages 110-121.
    5. Liu, Yansui & Zhou, Yang, 2021. "Territory spatial planning and national governance system in China," Land Use Policy, Elsevier, vol. 102(C).
    6. Zhou, P. & Delmas, M.A. & Kohli, A., 2017. "Constructing meaningful environmental indices: A nonparametric frontier approach," Journal of Environmental Economics and Management, Elsevier, vol. 85(C), pages 21-34.
    7. Li, Hongbin & Zhou, Li-An, 2005. "Political turnover and economic performance: the incentive role of personnel control in China," Journal of Public Economics, Elsevier, vol. 89(9-10), pages 1743-1762, September.
    8. Zhang, Shangfeng & Zhu, Chun & Li, Xiujie & Yu, Xiuwen & Fang, Qi, 2022. "Sectoral heterogeneity, industrial structure transformation, and changes in total labor income share," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    9. Felbermayr, Gabriel & Morgan, T. Clifton & Syropoulos, Constantinos & Yotov, Yoto V., 2021. "Understanding economic sanctions: Interdisciplinary perspectives on theory and evidence," European Economic Review, Elsevier, vol. 135(C).
    10. Xu, Hengzhou & Jiao, Man, 2021. "City size, industrial structure and urbanization quality—A case study of the Yangtze River Delta urban agglomeration in China," Land Use Policy, Elsevier, vol. 111(C).
    11. Lilien, David M, 1982. "Sectoral Shifts and Cyclical Unemployment," Journal of Political Economy, University of Chicago Press, vol. 90(4), pages 777-793, August.
    12. Moore, John H, 1978. "A Measure of Structural Change in Output," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 24(1), pages 105-118, March.
    13. John H. Moore, 1978. "A Measure Of Structural Change In Output," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 24(1), pages 105-118, March.
    14. Manolis Manioudis & Giorgos Meramveliotakis, 2022. "Broad strokes towards a grand theory in the analysis of sustainable development: a return to the classical political economy," New Political Economy, Taylor & Francis Journals, vol. 27(5), pages 866-878, September.
    15. Li, Ke & Lin, Boqiang, 2016. "Impact of energy conservation policies on the green productivity in China’s manufacturing sector: Evidence from a three-stage DEA model," Applied Energy, Elsevier, vol. 168(C), pages 351-363.
    16. Zhu, Bangzhu & Zhang, Mengfan & Zhou, Yanhua & Wang, Ping & Sheng, Jichuan & He, Kaijian & Wei, Yi-Ming & Xie, Rui, 2019. "Exploring the effect of industrial structure adjustment on interprovincial green development efficiency in China: A novel integrated approach," Energy Policy, Elsevier, vol. 134(C).
    17. Du, Kerui & Cheng, Yuanyuan & Yao, Xin, 2021. "Environmental regulation, green technology innovation, and industrial structure upgrading: The road to the green transformation of Chinese cities," Energy Economics, Elsevier, vol. 98(C).
    18. Punzo, Gennaro & Castellano, Rosalia & Bruno, Emma, 2022. "Using geographically weighted regressions to explore spatial heterogeneity of land use influencing factors in Campania (Southern Italy)," Land Use Policy, Elsevier, vol. 112(C).
    19. Gao, Xin & Zhang, Anlu & Sun, Zhanli, 2020. "How regional economic integration influence on urban land use efficiency？ A case study of Wuhan metropolitan area, China," Land Use Policy, Elsevier, vol. 90(C).
    20. Lin, Justin Yifu, 2016. "Will China continue to be the engine of growth in the world," Journal of Policy Modeling, Elsevier, vol. 38(4), pages 683-692.
    21. repec:oup:econjl:v:129:y:2019:i:10:p:2888-2915. is not listed on IDEAS
    22. Findeisen, Sebastian & Südekum, Jens, 2008. "Industry churning and the evolution of cities: Evidence for Germany," Journal of Urban Economics, Elsevier, vol. 64(2), pages 326-339, September.
    Full references (including those not matched with items on IDEAS)

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