IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i18p11780-d919099.html
   My bibliography  Save this article

Spatiotemporal Differentiation and Driving Mechanism of Coupling Coordination between New-Type Urbanization and Ecological Environment in China

Author

Listed:
  • Yao Zhang

    (School of Economics, Shandong University of Technology, Zibo 255012, China)

  • Taoyuan Wei

    (CICERO Center for International Climate Research, 0318 Oslo, Norway)

  • Wentao Tian

    (School of Economics, Shandong University of Technology, Zibo 255012, China)

  • Kai Zhao

    (School of Economics, Shandong University of Technology, Zibo 255012, China)

Abstract

The coupling coordination between new-type urbanization and ecological environment is important for regional sustainable development in China. This study proposes an evaluation index system of new urbanization and ecological environment, and adopts a coupling coordination degree model and a spatial error model to explore the spatiotemporal evolution characteristics and driving factors of the coupling coordination degrees of new-type urbanization and ecological environment in 31 provinces of China from 2010 to 2019. The results show spatiotemporal differences in the overall coupling coordination degree, which has shifted from a mild disorder stage to a near disorder stage over the study period. The spatial distribution of the coupling coordination degrees by province has shifted over time from a pattern of low in the middle and high in both east and west regions to a pattern of stepwise decreasing from east, middle to west regions. The spatial correlation of the coupling coordination degrees is gradually weakening over time. Regional economic development, social security, technological progress, industrial structure, and education input can all contribute to inject strong impetus to the coupled and coordinated development of the two systems. As the development of impetus is still insufficient, it is suggested to pay attention to local conditions, strengthen inter-regional cooperation, and strengthen the superposition effect of multiple driving forces.

Suggested Citation

  • Yao Zhang & Taoyuan Wei & Wentao Tian & Kai Zhao, 2022. "Spatiotemporal Differentiation and Driving Mechanism of Coupling Coordination between New-Type Urbanization and Ecological Environment in China," Sustainability, MDPI, vol. 14(18), pages 1-19, September.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:18:p:11780-:d:919099
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/18/11780/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/18/11780/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chong Ye & Jiawei Pi & Hanqi Chen, 2022. "Coupling Coordination Development of the Logistics Industry, New Urbanization and the Ecological Environment in the Yangtze River Economic Belt," Sustainability, MDPI, vol. 14(9), pages 1-24, April.
    2. J. Elhorst, 2010. "Applied Spatial Econometrics: Raising the Bar," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(1), pages 9-28.
    3. LeSage, James & Banerjee, Sudipto & Fischer, Manfred M. & Congdon, Peter, 2009. "Spatial statistics: Methods, models & computation," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 2781-2785, June.
    4. James P. Lesage, 2008. "An Introduction to Spatial Econometrics," Revue d'économie industrielle, De Boeck Université, vol. 0(3), pages 19-44.
    5. Qian Chen & Yuzhe Bi & Jiangfeng Li, 2021. "Spatial Disparity and Influencing Factors of Coupling Coordination Development of Economy–Environment–Tourism–Traffic: A Case Study in the Middle Reaches of Yangtze River Urban Agglomerations," IJERPH, MDPI, vol. 18(15), pages 1-22, July.
    6. Junjie Cao & Yao Zhang & Taoyuan Wei & Hui Sun, 2021. "Temporal–Spatial Evolution and Influencing Factors of Coordinated Development of the Population, Resources, Economy and Environment (PREE) System: Evidence from 31 Provinces in China," IJERPH, MDPI, vol. 18(24), pages 1-22, December.
    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. Siying Chen & Zhixiong Tan & Xingwang He & Lichen Zhang, 2023. "The Measurements and Analysis of Spatial-Temporal Variations of Human Development Index Based on Planetary Boundaries in China: Evidence from Provincial-Level Data," Land, MDPI, vol. 12(3), pages 1-22, March.
    2. Wei Hu & Jingsong Liu, 2023. "The Coupling and Coordination of Urban Modernization and Low-Carbon Development," Sustainability, MDPI, vol. 15(19), pages 1-19, September.
    3. Zhenhua Xu & Fuyi Ci, 2023. "Spatial-Temporal Characteristics and Driving Factors of Coupling Coordination between the Digital Economy and Low-Carbon Development in the Yellow River Basin," Sustainability, MDPI, vol. 15(3), pages 1-23, February.

    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. Junjie Cao & Yao Zhang & Taoyuan Wei & Hui Sun, 2021. "Temporal–Spatial Evolution and Influencing Factors of Coordinated Development of the Population, Resources, Economy and Environment (PREE) System: Evidence from 31 Provinces in China," IJERPH, MDPI, vol. 18(24), pages 1-22, December.
    2. Xueqian Song & Yongping Wei & Wei Deng & Shaoyao Zhang & Peng Zhou & Ying Liu & Jiangjun Wan, 2019. "Spatio-Temporal Distribution, Spillover Effects and Influences of China’s Two Levels of Public Healthcare Resources," IJERPH, MDPI, vol. 16(4), pages 1-18, February.
    3. Massimiliano Agovino & Giuliana Parodi, 2015. "Human Development and the Determinants of the Incidence of Civilian Disability Pensions in Italy: A Spatial Panel Perspective," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 122(2), pages 553-576, June.
    4. Emil Georgiev & Emil Mihaylov, 2015. "Economic growth and the environment: reassessing the environmental Kuznets Curve for air pollution emissions in OECD countries," Letters in Spatial and Resource Sciences, Springer, vol. 8(1), pages 29-47, March.
    5. Eleonora Dávalos & Leonardo Fabio Morales, 2023. "Diffusion of crime control benefits: forced eradication and coca crops in Colombia," Spatial Economic Analysis, Taylor & Francis Journals, vol. 18(3), pages 292-317, July.
    6. Beatrice CAMAIONI & Roberto ESPOSTI & Francesco PAGLIACCI & Franco SOTTE, 2014. "How does space affect the allocation of the EU rural development policy's expenditure? An econometric assessment," Working Papers 399, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    7. Julie Bulteau & Thierry Feuillet & Rémy Le Boennec, 2018. "Spatial Heterogeneity of Sustainable Transportation Offer Values: A Comparative Analysis of Nantes Urban and Periurban/Rural Areas (France)," Post-Print hal-04362203, HAL.
    8. De Salvo, Maria & Capitello, Roberta & Gaudenzi, Barbara & Begalli, Diego, 2019. "Risk management strategies and residual risk perception in the wine industry: A spatial analysis in Northeast Italy," Land Use Policy, Elsevier, vol. 83(C), pages 47-62.
    9. Amarin Siripanich & Taha Hossein Rashidi & Emily Moylan, 2019. "Interaction of Public Transport Accessibility and Residential Property Values Using Smart Card Data," Sustainability, MDPI, vol. 11(9), pages 1-24, May.
    10. Mick Silver & Brian Graf, 2014. "Commercial Property Price Indexes: Problems of Sparse Data, Spatial Spillovers, and Weighting," IMF Working Papers 2014/072, International Monetary Fund.
    11. Nyakundi M. Michieka & John Deal & Kyle Lahman, 2022. "Air pollution and income inequality: a spatial econometric approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 69(1), pages 1-31, August.
    12. Adjin, K. Christophe & Henning, Christian H. C. A., 2019. "Farmers organizations and food availability in Senegal: An impact analysis using a spatial econometrics approach," Working Papers of Agricultural Policy WP2019-07, University of Kiel, Department of Agricultural Economics, Chair of Agricultural Policy.
    13. Lv, Zhike & Liu, Wangxin & Xu, Ting, 2022. "Evaluating the impact of information and communication technology on renewable energy consumption: A spatial econometric approach," Renewable Energy, Elsevier, vol. 189(C), pages 1-12.
    14. Rosalia Castellano & Gaetano Musella & Gennaro Punzo, 2019. "The effect of environmental attitudes and policies on separate waste collection: the case of Insular Italy," Letters in Spatial and Resource Sciences, Springer, vol. 12(1), pages 63-85, April.
    15. Ye Yang & Haifeng Lan & Jing Li, 2019. "Spatial Econometric Analysis of the Impact of Socioeconomic Factors on PM 2.5 Concentration in China’s Inland Cities: A Case Study from Chengdu Plain Economic Zone," IJERPH, MDPI, vol. 17(1), pages 1-19, December.
    16. Zambrano-Monserrate, Manuel A. & Ruano, María Alejandra, 2019. "Does environmental noise affect housing rental prices in developing countries? Evidence from Ecuador," Land Use Policy, Elsevier, vol. 87(C).
    17. Raffaella Santolini, 2020. "Spatial effects on local government efficiency," Papers in Regional Science, Wiley Blackwell, vol. 99(1), pages 183-200, February.
    18. Zhao, Mingxuan & Lv, Lianhong & Wu, Jing & Wang, Shen & Zhang, Nan & Bai, Zihan & Luo, Hong, 2022. "Total factor productivity of high coal-consuming industries and provincial coal consumption: Based on the dynamic spatial Durbin model," Energy, Elsevier, vol. 251(C).
    19. Gallaher, Adam & Graziano, Marcello & Fiaschetti, Maurizio, 2021. "Legacy and shockwaves: A spatial analysis of strengthening resilience of the power grid in Connecticut," Energy Policy, Elsevier, vol. 159(C).
    20. Anna M. Ferragina & Giulia Nunziante, 2018. "Are Italian firms performances influenced by innovation of domestic and foreign firms nearby in space and sectors?," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 45(3), pages 335-360, 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:gam:jsusta:v:14:y:2022:i:18:p:11780-:d:919099. 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.