IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v10y2018i2p411-d130326.html
   My bibliography  Save this article

Spatial Differences in and Influences upon the Sustainable Development Level of the Yangtze River Delta Urban Agglomeration in China

Author

Listed:
  • Mingdou Zhang

    (School of Public Administration, Dongbei University of Finance and Economics, Dalian 116025, China)

  • Hang Xiao

    (School of Public Administration, Dongbei University of Finance and Economics, Dalian 116025, China)

  • Dongqi Sun

    (Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Yu Li

    (Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

Abstract

Based on new data from 2006–2015, we used the entropy method and panel data regression to analyze the spatial difference and influences on the level of sustainable development within China’s Yangtze River Delta urban agglomeration. The main findings are: (1) During the 2006–2015 period, the sustainable development level of the Yangtze River Delta urban agglomeration was generally low, with 69% of its cities in a phase of low-level sustainable development; however, notable spatial variation in the levels of urban sustainable development occurred mainly along the “Hu-Ning-He-Hang-Yong development belt”, with a spatial distribution that was “high in the middle and low on all sides”. (2) The industrial structure, export dependence, and land-use efficiency all had positive impacts, whereas economic growth had a negative impact, on the sustainable development level of the Yangtze River Delta urban agglomeration. (3) For the super large city, export dependence positively impacted the urban sustainable development level; for the large city, both export dependence and land-use efficiency had a positive influence, while the regulation of government had a negative influence on the urban sustainable development level; for the medium-sized city, export dependence and land-use efficiency positively influenced the urban sustainable development level, but economic growth and the regulation by government negatively influenced it.

Suggested Citation

  • Mingdou Zhang & Hang Xiao & Dongqi Sun & Yu Li, 2018. "Spatial Differences in and Influences upon the Sustainable Development Level of the Yangtze River Delta Urban Agglomeration in China," Sustainability, MDPI, vol. 10(2), pages 1-13, February.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:2:p:411-:d:130326
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/10/2/411/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/10/2/411/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Deng, Xiangzheng & Huang, Jikun & Rozelle, Scott & Uchida, Emi, 2008. "Growth, population and industrialization, and urban land expansion of China," Journal of Urban Economics, Elsevier, vol. 63(1), pages 96-115, January.
    2. Camagni, Roberto & Capello, Roberta & Nijkamp, Peter, 1998. "Towards sustainable city policy: an economy-environment technology nexus," Ecological Economics, Elsevier, vol. 24(1), pages 103-118, January.
    3. Harrison, Ann & Rodríguez-Clare, Andrés, 2010. "Trade, Foreign Investment, and Industrial Policy for Developing Countries," Handbook of Development Economics, in: Dani Rodrik & Mark Rosenzweig (ed.), Handbook of Development Economics, edition 1, volume 5, chapter 0, pages 4039-4214, Elsevier.
    4. Xu, Hai-Yan & Kuo, Shyh-Hao & Li, Guoqi & Legara, Erika Fille T. & Zhao, Daxuan & Monterola, Christopher P., 2016. "Generalized Cross Entropy Method for estimating joint distribution from incomplete information," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 453(C), pages 162-172.
    5. He, Bang-Qiang & Hong, Xing-Jian & Fan, Guo-Liang, 2017. "Block empirical likelihood for partially linear panel data models with fixed effects," Statistics & Probability Letters, Elsevier, vol. 123(C), pages 128-138.
    6. Doll, Christopher N.H. & Muller, Jan-Peter & Morley, Jeremy G., 2006. "Mapping regional economic activity from night-time light satellite imagery," Ecological Economics, Elsevier, vol. 57(1), pages 75-92, April.
    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. Lei Wan & Huiyu Liu & Haibo Gong & Yujia Ren, 2020. "Effects of Climate and Land Use changes on Vegetation Dynamics in the Yangtze River Delta, China Based on Abrupt Change Analysis," Sustainability, MDPI, vol. 12(5), pages 1-20, March.
    2. Hongyan Shen & Fei Teng & Jinping Song, 2018. "Evaluation of Spatial Balance of China’s Regional Development," Sustainability, MDPI, vol. 10(9), pages 1-16, September.
    3. 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).
    4. Qiuqiu Guo & Xiaoyu Ma, 2023. "How Does the Digital Economy Affect Sustainable Urban Development? Empirical Evidence from Chinese Cities," Sustainability, MDPI, vol. 15(5), pages 1-21, February.
    5. Xufeng Zhang & Yanliang Liu & Akmaral Tleubergenova & Jin-Song Liu & Ru Fan & Yun-En Tang & Xiang-Zhou Meng, 2022. "Evaluation of Urban Sustainability Based on Development Structures and Economic Aggregates: A Case Study of Jiaxing, China," Sustainability, MDPI, vol. 14(17), pages 1-16, August.
    6. Jie Zhang & Yajing Wang & Jiangfeng Li, 2023. "Maximize Eco-Economic Benefits with Minimum Land Resources Input: Evaluation and Evolution of Land Use Eco-Efficiency of Agglomerations in Middle Reaches of Yangtze River, China," IJERPH, MDPI, vol. 20(3), pages 1-19, January.
    7. Siliang Guo & Heng Ma, 2022. "Can the Spatial Function Division of Urbanization Promote Regional Coordinated Development? Evidence from the Yangtze River Economic Belt in China," Sustainability, MDPI, vol. 14(12), pages 1-28, June.
    8. Lu Bai & Yan Chen & Yaping Cui & Chunting Feng & Chen Wu & Bingran Ma & Weiyang Zhao & Chenxingyu Duan & Wei Wang, 2025. "Evaluating the Sustainable Development Level of Local Communities Within Hunan Nanshan National Park, China," Land, MDPI, vol. 14(9), pages 1-18, August.
    9. Rui Ding & Jun Fu & Yiling Zhang & Ting Zhang & Jian Yin & Yiming Du & Tao Zhou & Linyu Du, 2022. "Research on the Evolution of the Economic Spatial Pattern of Urban Agglomeration and Its Influencing Factors, Evidence from the Chengdu-Chongqing Urban Agglomeration of China," Sustainability, MDPI, vol. 14(17), pages 1-19, September.
    10. Xing, Menglin & Liu, Xiaojun & Luo, Fuzhou, 2023. "How does the development of urban agglomeration affect the electricity efficiency of resource-based cities?—An empirical research based on the fsQCA method," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).

    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. Huixia Zhao & Emi Uchida & Xiangzheng Deng & Scott Rozelle, 2011. "Do Trees Grow with the Economy? A Spatial Analysis of the Determinants of Forest Cover Change in Sichuan, China," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 50(1), pages 61-82, September.
    2. Patrick Lehnert & Michael Niederberger & Uschi Backes-Gellner & Eric Bettinger, 2020. "Proxying Economic Activity with Daytime Satellite Imagery: Filling Data Gaps Across Time and Space," Economics of Education Working Paper Series 0165, University of Zurich, Department of Business Administration (IBW), revised Sep 2022.
    3. Geoffrey Barrows & Hélène Ollivier & Ariell Reshef, 2023. "Production Function Estimation with Multi-Destination Firms," CESifo Working Paper Series 10716, CESifo.
    4. Philipp Harms & Pierre-Guillaume Méon, 2013. "The Growth Effects of Greenfield Investment and Mergers and Acquisitions: Econometric Investigation and Implication for MENA Countries," Working Papers 794, Economic Research Forum, revised Nov 2013.
    5. Haiwen Zhou, 2013. "The Choice of Technology and Rural-Urban Migration in Economic Development," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, vol. 8(3), pages 337-361, September.
    6. Philippe Aghion & Jing Cai & Mathias Dewatripont & Luosha Du & Ann Harrison & Patrick Legros, 2022. "Industrial Policy and Competition," World Scientific Book Chapters, in: Globalization, Firms, and Workers, chapter 15, pages 349-380, World Scientific Publishing Co. Pte. Ltd..
    7. Alicia H. Dang & Roberto Samaniego, 2022. "R&D, Industrial Policy and Growth," JRFM, MDPI, vol. 15(8), pages 1-42, August.
    8. Dai, Jiangyu & Wu, Shiqiang & Han, Guoyi & Weinberg, Josh & Xie, Xinghua & Wu, Xiufeng & Song, Xingqiang & Jia, Benyou & Xue, Wanyun & Yang, Qianqian, 2018. "Water-energy nexus: A review of methods and tools for macro-assessment," Applied Energy, Elsevier, vol. 210(C), pages 393-408.
    9. Daniela Smiraglia & Luca Salvati & Gianluca Egidi & Rosanna Salvia & Antonio Giménez-Morera & Rares Halbac-Cotoara-Zamfir, 2021. "Toward a New Urban Cycle? A Closer Look to Sprawl, Demographic Transitions and the Environment in Europe," Land, MDPI, vol. 10(2), pages 1-14, January.
    10. Xu, Tingting & Gao, Jay & Li, Yuhua, 2019. "Machine learning-assisted evaluation of land use policies and plans in a rapidly urbanizing district in Chongqing, China," Land Use Policy, Elsevier, vol. 87(C).
    11. Olivier N. Godart & Holger Görg, 2016. "Suppliers of multinationals and the forced linkage effect: Evidence from firm level data," World Scientific Book Chapters, in: MULTINATIONAL ENTERPRISES AND HOST COUNTRY DEVELOPMENT, chapter 15, pages 277-288, World Scientific Publishing Co. Pte. Ltd..
    12. Long, Fenjie & Zheng, Longfei & Song, Zhida, 2018. "High-speed rail and urban expansion: An empirical study using a time series of nighttime light satellite data in China," Journal of Transport Geography, Elsevier, vol. 72(C), pages 106-118.
    13. Tang, Yingkai & Zhang, Kevin H., 2016. "Absorptive capacity and benefits from FDI: Evidence from Chinese manufactured exports," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 423-429.
    14. Aiyar, Shekhar & Malacrino, Davide & Presbitero, Andrea F., 2024. "Investing in friends: The role of geopolitical alignment in FDI flows," European Journal of Political Economy, Elsevier, vol. 83(C).
    15. Michaud, Amanda & Rothert, Jacek, 2014. "Optimal borrowing constraints and growth in a small open economy," Journal of International Economics, Elsevier, vol. 94(2), pages 326-340.
    16. Borice Augustin Ngounou & Honoré Tekam Oumbe & Bruno Emmanuel Ongo Nkoa & Edmond Noubissi Domguia, 2024. "Inclusive growth in the face of increasing urbanization: What experience for African countries?," Review of Development Economics, Wiley Blackwell, vol. 28(1), pages 34-70, February.
    17. Shasha Lu & Xingliang Guan & Chao He & Jiali Zhang, 2014. "Spatio-Temporal Patterns and Policy Implications of Urban Land Expansion in Metropolitan Areas: A Case Study of Wuhan Urban Agglomeration, Central China," Sustainability, MDPI, vol. 6(8), pages 1-26, July.
    18. Laura Alfaro, 2017. "Gains from Foreign Direct Investment: Macro and Micro Approaches," The World Bank Economic Review, World Bank, vol. 30(Supplemen), pages 2-15.
    19. Poelhekke, Steven, 2011. "Urban growth and uninsured rural risk: Booming towns in bust times," Journal of Development Economics, Elsevier, vol. 96(2), pages 461-475, November.
    20. Ke Huang & Martin Dallimer & Lindsay C. Stringer & Anlu Zhang & Ting Zhang, 2021. "Does Economic Agglomeration Lead to Efficient Rural to Urban Land Conversion? An Examination of China’s Metropolitan Area Development Strategy," Sustainability, MDPI, vol. 13(4), pages 1-19, February.

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:10:y:2018:i:2:p:411-:d:130326. 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.