IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v10y2021i4p400-d534093.html
   My bibliography  Save this article

Spatio-Temporal Coupling Characteristics and the Driving Mechanism of Population-Land-Industry Urbanization in the Yangtze River Economic Belt

Author

Listed:
  • Liejia Huang

    (Business School, Hubei University, Wuhan 430062, China)

  • Peng Yang

    (Business School, Hubei University, Wuhan 430062, China)

  • Boqing Zhang

    (College of Public Administration, Huazhong Agricultural University, Wuhan 430070, China)

  • Weiyan Hu

    (College of Public Administration, Huazhong Agricultural University, Wuhan 430070, China)

Abstract

The purpose of this paper is to probe into the coupled coordination of urbanization in population, land, and industry to improve urbanization quality. A coupled coordination degree model, spatial analysis method and spatial metering model are employed. The study area is 110 prefecture-level cities in the Yangtze River Economic Belt. The study shows that: (1) the coupling degree of the population-land-industry urbanization grew very slowly between 2006 and 2016. On the whole, the three-dimensional urbanization is in a running-in period, and land-based urbanization dominates, while population-based urbanization and industry-based urbanization are relatively lagging behind. (2) The three major urban agglomerations, the Chengdu-Chongqing, the middle reaches of the Yangtze River and the Yangtze River Delta, are parallel to the whole area in terms of the coupling degree of the three dimensional urbanization with a well-ordered structure, especially in the central cities of the three major urban agglomerations. (3) There is significant spatial correlation in the coupling degree and coordination degree of the three-dimensional urbanization. The high value of coupling degree and coordination degree are clustered continuously in developed cities, provincial capitals, and central cities of the downstream reaches of the Yangtze River. (4) The coordinated degree has significant positive spatial autocorrelation, showing obvious spatial agglomeration characteristics: H-H agglomeration areas are concentrated in the downstream developed areas such as Jiangsu, Zhejiang, and Shanghai. L-L agglomeration areas are mainly concentrated in upstream undeveloped areas, but the number of their cities shows a decreasing trend. (5) The coordination degree of the three-dimensional urbanization is the result of the comprehensive effect of economic development level, the government’s decision-making behavior, and urban location. Among them, the economic development level, urbanization investment, traffic condition, and urban geographical location play a decisive role. This paper contributes to the existing literatures by exploring urbanization quality, spatial correlation and influencing factors from the perspectives of the three-dimensional urbanization in the Yangtze River Economic Belt. The conclusion might be helpful to promote the coupling and coordinated development of urbanization in population-land-industry, and ultimately to improve urbanization quality in the Yangtze River Economic Belt.

Suggested Citation

  • Liejia Huang & Peng Yang & Boqing Zhang & Weiyan Hu, 2021. "Spatio-Temporal Coupling Characteristics and the Driving Mechanism of Population-Land-Industry Urbanization in the Yangtze River Economic Belt," Land, MDPI, vol. 10(4), pages 1-17, April.
  • Handle: RePEc:gam:jlands:v:10:y:2021:i:4:p:400-:d:534093
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/10/4/400/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/10/4/400/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Josep-Maria Arauzo-Carod, 2007. "Determinants of population and jobs at a local level," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 41(1), pages 87-104, March.
    2. McConnell, Kenneth E., 1989. "The Optimal Quantity Of Land In Agriculture," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 18(2), pages 1-10, October.
    3. repec:dau:papers:123456789/12867 is not listed on IDEAS
    4. Donald G. Freeman, 2001. "Sources of fluctuations in regional growth," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 35(2), pages 249-266.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xiao Zhu & Di Yao & Hanyue Shi & Kaichen Qu & Yuxiao Tang & Kaixu Zhao, 2022. "The Evolution Mode and Driving Mechanisms of the Relationship between Construction Land Use and Permanent Population in Urban and Rural Contexts: Evidence from China’s Land Survey," Land, MDPI, vol. 11(10), pages 1-44, October.
    2. Sentao Wu & Xin Deng & Yanbin Qi, 2022. "Factors Driving Coordinated Development of Urban Green Economy: An Empirical Evidence from the Chengdu-Chongqing Economic Circle," IJERPH, MDPI, vol. 19(10), pages 1-20, May.
    3. Haonan Yang & Liang Chen & Huan Huang & Panyu Tang, 2022. "Measurement and Spatial-Temporal Evolution Characteristics of Low-Carbon Cities with High-Quality Development: The Case Study of the Yangtze River Economic Belt, China," Sustainability, MDPI, vol. 14(15), pages 1-23, August.
    4. Kui Liu & Jian Wang & Xiang Kang & Jingming Liu & Zheyi Xia & Kai Du & Xuexin Zhu, 2022. "Spatio-Temporal Analysis of Population-Land-Economic Urbanization and Its Impact on Urban Carbon Emissions in Shandong Province, China," Land, MDPI, vol. 11(2), pages 1-20, February.
    5. Weixuan Chen & Ali Cheshmehzangi & Eugenio Mangi & Timothy Heath, 2022. "Implementations of China’s New-Type Urbanisation: A Comparative Analysis between Targets and Practices of Key Elements’ Policies," Sustainability, MDPI, vol. 14(10), pages 1-15, May.
    6. Kai Yuan & Biao Hu & Xinlong Li & Tingyun Niu & Liang Zhang, 2023. "Exploration of Coupling Effects in the Digital Economy and Eco-Economic System Resilience in Urban Areas: Case Study of the Beijing-Tianjin-Hebei Urban Agglomeration," Sustainability, MDPI, vol. 15(9), pages 1-28, April.
    7. Lei Yao & Abudureheman Halike & Qianqian Wei & Hua Tang & Buweiayixiemu Tuheti, 2022. "Research on Coupling and Coordination of Agro-Ecological and Agricultural Economic Systems in the Ebinur Lake Basin," Sustainability, MDPI, vol. 14(16), pages 1-17, August.
    8. Biao Zhang & Dian Shao & Zhonghu Zhang, 2022. "Spatio-Temporal Evolution Dynamic, Effect and Governance Policy of Construction Land Use in Urban Agglomeration: Case Study of Yangtze River Delta, China," Sustainability, MDPI, vol. 14(10), pages 1-36, May.
    9. Kun Ge & Shan Zou & Xinhai Lu & Shangan Ke & Danling Chen & Zhangsheng Liu, 2022. "Dynamic Evolution and the Mechanism behind the Coupling Coordination Relationship between Industrial Integration and Urban Land-Use Efficiency: A Case Study of the Yangtze River Economic Zone in China," Land, MDPI, vol. 11(2), pages 1-22, February.
    10. Hongwei Deng & Jinxin Yang & Peng Wang, 2023. "Study on Coupling Coordination Relationship between Urban Development Intensity and Water Environment Carrying Capacity of Chengdu–Chongqing Economic Circle," Sustainability, MDPI, vol. 15(9), pages 1-18, April.
    11. Liguo Zhang & Luchen Huang & Jinglin Xia & Kaifeng Duan, 2022. "Spatial-Temporal Evolution and Its Influencing Factors on Urban Land Use Efficiency in China’s Yangtze River Economic Belt," Land, MDPI, vol. 12(1), pages 1-19, December.

    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. Josep-Maria Arauzo-Carod & Daniel Liviano-Solís, 2012. "Migration Determinants at a Local Level," ERSA conference papers ersa12p500, European Regional Science Association.
    2. Tervo, Hannu, 2016. "Do People Follow Jobs or Do Jobs Follow People? The Case of Finland in an International Context," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 46(1).
    3. Shu‐Hen Chiang, 2012. "The Source of Metropolitan Growth: The Role of Commuting," Growth and Change, Wiley Blackwell, vol. 43(1), pages 143-166, March.
    4. Shu-Hen Chiang, 2014. "The dilemma of "Twin Cities": is the suburban dependence hypothesis applicable?," Journal of Economic Policy Reform, Taylor & Francis Journals, vol. 17(2), pages 149-163, June.
    5. Chasco, Coro & López, Ana María & Guillain, Rachel, 2008. "The non-stationary influence of geography on the spatial agglomeration of production in the EU," MPRA Paper 10737, University Library of Munich, Germany.
    6. Perry Burnett & Harvey Cutler & Stephen Davies, 2012. "Understanding The Unique Impacts Of Economic Growth Variables," Journal of Regional Science, Wiley Blackwell, vol. 52(3), pages 451-468, August.
    7. Zhengyi Dong, 2019. "Does the Development of Bioenergy Exacerbate the Price Increase of Maize?," Sustainability, MDPI, vol. 11(18), pages 1-16, September.
    8. Josep-Maria Arauzo-Carod & Elisabet Viladecans-Marsal, 2009. "Industrial Location at the Intra-Metropolitan Level: The Role of Agglomeration Economies," Regional Studies, Taylor & Francis Journals, vol. 43(4), pages 545-558.
    9. Harvey Cutler & Stephen Davies, 2007. "The Impact Of Specific‐Sector Changes In Employment On Economic Growth, Labor Market Performance And Migration," Journal of Regional Science, Wiley Blackwell, vol. 47(5), pages 935-963, December.
    10. Kan, Iddo & Haim, David & Rapaport-Rom, Mickey & Shechter, Mordechai, 2009. "Environmental amenities and optimal agricultural land use: The case of Israel," Ecological Economics, Elsevier, vol. 68(6), pages 1893-1898, April.
    11. TATOUTCHOUP, Didier & GAUDET, Gérard, 2009. "The Impact of Recycling on the Long-Run Stock of Trees," Cahiers de recherche 2009-10, Universite de Montreal, Departement de sciences economiques.
    12. Aliza Fleischer & Yacov Tsur, 2009. "The Amenity Value of Agricultural Landscape and Rural–Urban Land Allocation," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(1), pages 132-153, February.
    13. Padeiro, Miguel, 2013. "Transport infrastructures and employment growth in the Paris metropolitan margins," Journal of Transport Geography, Elsevier, vol. 31(C), pages 44-53.
    14. Cacho, Oscar J., 1999. "Valuing Agroforestry In The Presence Of Land Degradation," Working Papers 12931, University of New England, School of Economics.
    15. Lovell, Sabrina J. & Lynch, Lori, 2002. "Hedonic Price Analysis Of Easement Payments In Agricultural Land Preservation Programs," Working Papers 28564, University of Maryland, Department of Agricultural and Resource Economics.
    16. Shu-hen Chiang, 2018. "Assessing the Merits of the Urban-Led Policy in China: Spread or Backwash Effect?," Sustainability, MDPI, vol. 10(2), pages 1-14, February.
    17. Lori Lynch & Wesley N. Musser, 2001. "A Relative Efficiency Analysis of Farmland Preservation Programs," Land Economics, University of Wisconsin Press, vol. 77(4), pages 577-594.
    18. Gardner, Bruce L., 1994. "Commercial Agriculture in Metropolitan Areas: Economics and Regulatory Issues," Agricultural and Resource Economics Review, Cambridge University Press, vol. 23(1), pages 100-109, April.
    19. Rosenberger, Randall S. & Walsh, Richard G., 1997. "Nonmarket Value Of Western Valley Ranchland Using Contingent Valuation," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 22(2), pages 1-14, December.
    20. Josep-Maria Arauzo-Carod, 2007. "Determinants of population and jobs at a local level," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 41(1), pages 87-104, March.

    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:jlands:v:10:y:2021:i:4:p:400-:d:534093. 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.