IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i7p4154-d784273.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/7/4154/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/7/4154/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    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)

    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. 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).
    2. Andreas Dietrich, 2012. "Does growth cause structural change, or is it the other way around? A dynamic panel data analysis for seven OECD countries," Empirical Economics, Springer, vol. 43(3), pages 915-944, December.
    3. Li, Ke & Lin, Boqiang, 2017. "Economic growth model, structural transformation, and green productivity in China," Applied Energy, Elsevier, vol. 187(C), pages 489-500.
    4. Lin, Boqiang & Zhou, Yicheng, 2021. "How does vertical fiscal imbalance affect the upgrading of industrial structure? Empirical evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    5. Qi, Xiulin & Wu, Zhifang & Xu, Jinqing & Shan, Biaoan, 2023. "Environmental justice and green innovation: A quasi-natural experiment based on the establishment of environmental courts in China," Ecological Economics, Elsevier, vol. 205(C).
    6. Li, Yongqing & Ma, Huimin & Xiong, Jie & Zhang, Jinlong & Ponnamma Divakaran, Pradeep Kumar, 2022. "Manufacturing structure, transformation path, and performance evolution: An industrial network perspective," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    7. Guan, Jin & He, Dongwei & Zhu, Qigui, 2022. "More incentive, less pollution: The influence of official appraisal system reform on environmental enforcement," Resource and Energy Economics, Elsevier, vol. 67(C).
    8. Ji, Xiaoqing & Liu, Shuai & Lang, Jingyi, 2022. "Assessing the impact of officials' turnover on urban economic efficiency: From the perspective of political promotion incentive and power rent-seeking incentive," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    9. Chen, Xiaodong & Mi, Haoming & Zhou, Peng, 2023. "Whether to decentralize and how to decentralize? The optimal fiscal federalism in an endogenous growth model," Cardiff Economics Working Papers E2023/11, Cardiff University, Cardiff Business School, Economics Section.
    10. Can Zhang & Tengfei Liu & Jixia Li & Mengzhi Xu & Xu Li & Huachun Wang, 2023. "Economic Growth Target, Government Expenditure Behavior, and Cities’ Ecological Efficiency—Evidence from 284 Cities in China," Land, MDPI, vol. 12(1), pages 1-30, January.
    11. Shengli Dai & Weimin Zhang & Yingying Wang & Ge Wang, 2022. "Examining the Impact of Regional Development Policy on Industrial Structure Upgrading: Quasi-Experimental Evidence from China," IJERPH, MDPI, vol. 19(9), pages 1-18, April.
    12. Li, Kai & Qi, Shouzhou & Shi, Xunpeng, 2023. "Environmental policies and low-carbon industrial upgrading: Heterogenous effects among policies, sectors, and technologies in China," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    13. Huixiang Zeng & Xuemei Li & Qiong Zhou & Lin Wang, 2022. "Local government environmental regulatory pressures and corporate environmental strategies: Evidence from natural resource accountability audits in China," Business Strategy and the Environment, Wiley Blackwell, vol. 31(7), pages 3060-3082, November.
    14. Jingbo Liang & Wuliyasu Bai & Qianqian Li & Xingyuan Zhang & Long Zhang, 2022. "Dynamic Mechanisms and Institutional Frameworks of China’s Green Development: An Analysis from the Perspective of Collaboration," Sustainability, MDPI, vol. 14(11), pages 1-18, May.
    15. Yu Hao & Jingwen Huang & Yunxia Guo & Haitao Wu & Siyu Ren, 2022. "Does the legacy of state planning put pressure on ecological efficiency? Evidence from China," Business Strategy and the Environment, Wiley Blackwell, vol. 31(7), pages 3100-3121, November.
    16. Lin Zhu & Fan Dong & Liangwen Hu, 2023. "Mechanisms of How Private Equity Drives Industrial Upgrade: An Empirical Study Based on China’s Panel Data," Sustainability, MDPI, vol. 15(3), pages 1-15, January.
    17. Qi Yang & Zhonggen Sun & Hubiao Zhang, 2022. "Assessment of Urban Green Development Efficiency Based on Three-Stage DEA: A Case Study from China’s Yangtze River Delta," Sustainability, MDPI, vol. 14(19), pages 1-20, September.
    18. Ping Ji & Weidong Huo & Lan Bo & Weiwei Zhang & Xiaoxian Chen, 2022. "Would Financial Development Help China Achieve Carbon Peak Emissions?," IJERPH, MDPI, vol. 19(19), pages 1-19, October.
    19. Zhangsheng Liu & Binbin Lai & Shuangyin Wu & Xiaotian Liu & Qunhong Liu & Kun Ge, 2022. "Growth Targets Management, Regional Competition and Urban Land Green Use Efficiency According to Evidence from China," IJERPH, MDPI, vol. 19(10), pages 1-21, May.
    20. Zhang, Hongli & Shen, Lei & Zhong, Shuai & Elshkaki, Ayman, 2020. "Coal resource and industrial structure nexus in energy-rich area: The case of the contiguous area of Shanxi and Shaanxi Provinces, and Inner Mongolia Autonomous Region of China," Resources Policy, Elsevier, vol. 66(C).

    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:gam:jijerp:v:19:y:2022:i:7:p:4154-:d:784273. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.