IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v11y2022i12p2123-d983453.html
   My bibliography  Save this article

The Role of Proximity in Transformational Development: The Case of Resource-Based Cities in China

Author

Listed:
  • Shuo Lu

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Wenzhong Zhang

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Jiaming Li

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Renfeng Ma

    (Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo 315211, China)

Abstract

Proactive integration into the national city network and the improvement of the level of openness to the outside world is important for the new period to promote the high-quality transformational development of resource-based cities. Based on the gravity model and social network analysis methods, the role of geographical proximity and network proximity (non-spatial proximity) in the high-quality transformation of resource-based cities is systematically analyzed. The impact of geographic proximity, network proximity, and their interactions on the transformation of resource-based cities was also empirically tested by constructing an econometric model. It is found that: (1) The cities with the highest gravitational values and gravitational values among the neighbouring cities of resource-based cities did not change significantly from 2001 to 2019, and cities with better transformation are mostly dominated by RBC-non–RBC combinations, with the gravitational values of neighbouring cities at the middle level. (2) The hierarchy of resource-based cities in both the national organizational network and investment network increased significantly during 2001–2019, but the difference is that the organizational network is centered on Beijing. (3) While there is an inverted U-shaped relationship between geographical proximity and transformation in resource-based cities, there is a linear positive relationship between network investment proximity and transformation. However, there is a substitution and complementary effect between the two, and they work together to promote the high-quality transformation of resource-based cities.

Suggested Citation

  • Shuo Lu & Wenzhong Zhang & Jiaming Li & Renfeng Ma, 2022. "The Role of Proximity in Transformational Development: The Case of Resource-Based Cities in China," Land, MDPI, vol. 11(12), pages 1-16, November.
  • Handle: RePEc:gam:jlands:v:11:y:2022:i:12:p:2123-:d:983453
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/11/12/2123/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/11/12/2123/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Halvor Mehlum & Karl Moene & Ragnar Torvik, 2006. "Institutions and the Resource Curse," Economic Journal, Royal Economic Society, vol. 116(508), pages 1-20, January.
    2. Ray Hudson, 2005. "Rethinking Change in Old Industrial Regions: Reflecting on the Experiences of North East England," Environment and Planning A, , vol. 37(4), pages 581-596, April.
    3. Arthur, W Brian, 1989. "Competing Technologies, Increasing Returns, and Lock-In by Historical Events," Economic Journal, Royal Economic Society, vol. 99(394), pages 116-131, March.
    4. Halvor Mehlum & Karl Moene & Ragnar Torvik, 2006. "Cursed by Resources or Institutions?," The World Economy, Wiley Blackwell, vol. 29(8), pages 1117-1131, August.
    5. Gylfason, Thorvaldur, 2001. "Natural resources, education, and economic development," European Economic Review, Elsevier, vol. 45(4-6), pages 847-859, May.
    6. Audretsch, David B. & Feldman, Maryann P., 2004. "Knowledge spillovers and the geography of innovation," Handbook of Regional and Urban Economics, in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 61, pages 2713-2739, Elsevier.
    7. Eduardo Miranda & Jorge Batista e Silva & António Ricardo da Costa, 2020. "Emergence and Structure of Urban Centralities in a Medium-Sized Historic City," SAGE Open, , vol. 10(3), pages 21582440209, July.
    8. Cristina Chaminade & Marco Bellandi & Monica Plechero & Erica Santini, 2019. "Understanding processes of path renewal and creation in thick specialized regional innovation systems. Evidence from two textile districts in Italy and Sweden," European Planning Studies, Taylor & Francis Journals, vol. 27(10), pages 1978-1994, October.
    9. Maskell, Peter & Malmberg, Anders, 1999. "Localised Learning and Industrial Competitiveness," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 23(2), pages 167-185, March.
    10. Anders Malmberg & Peter Maskell, 2006. "Localized Learning Revisited," Growth and Change, Wiley Blackwell, vol. 37(1), pages 1-18, March.
    11. Meric S. Gertler, 2003. "Tacit knowledge and the economic geography of context, or The undefinable tacitness of being (there)," Journal of Economic Geography, Oxford University Press, vol. 3(1), pages 75-99, January.
    12. Frank van Oort & Martijn Burger & Otto Raspe, 2010. "On the Economic Foundation of the Urban Network Paradigm: Spatial Integration, Functional Integration and Economic Complementarities within the Dutch Randstad," Urban Studies, Urban Studies Journal Limited, vol. 47(4), pages 725-748, April.
    13. Shao, Shuai & Yang, Lili, 2014. "Natural resource dependence, human capital accumulation, and economic growth: A combined explanation for the resource curse and the resource blessing," Energy Policy, Elsevier, vol. 74(C), pages 632-642.
    14. Minmin Li & Wenhua Guo & Renzhong Guo & Biao He & Zhichao Li & Xiaoming Li & Wenchao Liu & Yong Fan, 2022. "Urban Network Spatial Connection and Structure in China Based on Railway Passenger Flow Big Data," Land, MDPI, vol. 11(2), pages 1-18, February.
    15. Shanshan Ye & Zhu Qian, 2021. "The Economic Network Resilience of the Guanzhong Plain City Cluster, China: A network analysis from the evolutionary perspective," Growth and Change, Wiley Blackwell, vol. 52(4), pages 2391-2411, December.
    16. Anne Ter Wal & Ron Boschma, 2011. "Co-evolution of Firms, Industries and Networks in Space," Regional Studies, Taylor & Francis Journals, vol. 45(7), pages 919-933.
    17. Xiaohui Hu & Chun Yang, 2019. "Institutional change and divergent economic resilience: Path development of two resource-depleted cities in China," Urban Studies, Urban Studies Journal Limited, vol. 56(16), pages 3466-3485, December.
    18. Ginevra Balletto & Mara Ladu & Alessandra Milesi & Federico Camerin & Giuseppe Borruso, 2022. "Walkable City and Military Enclaves: Analysis and Decision-Making Approach to Support the Proximity Connection in Urban Regeneration," Sustainability, MDPI, vol. 14(1), pages 1-16, January.
    19. Jasjit Singh, 2005. "Collaborative Networks as Determinants of Knowledge Diffusion Patterns," Management Science, INFORMS, vol. 51(5), pages 756-770, May.
    20. Ron Martin & Peter Sunley, 2006. "Path dependence and regional economic evolution," Journal of Economic Geography, Oxford University Press, vol. 6(4), pages 395-437, August.
    21. Zeng, Lijun & Wang, Bingcheng & Fan, Liu & Wu, Jianguo, 2016. "Analyzing sustainability of Chinese mining cities using an association rule mining approach," Resources Policy, Elsevier, vol. 49(C), pages 394-404.
    22. Ron Martin, 2010. "Roepke Lecture in Economic Geography—Rethinking Regional Path Dependence: Beyond Lock-in to Evolution," Economic Geography, Taylor & Francis Journals, vol. 86(1), pages 1-27, January.
    23. De Noni, Ivan & Orsi, Luigi & Belussi, Fiorenza, 2018. "The role of collaborative networks in supporting the innovation performances of lagging-behind European regions," Research Policy, Elsevier, vol. 47(1), pages 1-13.
    24. Arne Isaksen, 2015. "Industrial development in thin regions: trapped in path extension?," Journal of Economic Geography, Oxford University Press, vol. 15(3), pages 585-600.
    25. David J. Teece & Gary Pisano & Amy Shuen, 1997. "Dynamic capabilities and strategic management," Strategic Management Journal, Wiley Blackwell, vol. 18(7), pages 509-533, August.
    26. Scott, Allen J., 2006. "Geography and Economy: Three Lectures," OUP Catalogue, Oxford University Press, number 9780199284306.
    27. Zhang, Qian & Brouwer, Roy, 2020. "Is China Affected by the Resource Curse? A Critical Review of the Chinese Literature," Journal of Policy Modeling, Elsevier, vol. 42(1), pages 133-152.
    28. Papyrakis, Elissaios & Gerlagh, Reyer, 2006. "Resource windfalls, investment, and long-term income," Resources Policy, Elsevier, vol. 31(2), pages 117-128, June.
    29. Stefano Breschi & Francesco Lissoni, 2009. "Mobility of skilled workers and co-invention networks: an anatomy of localized knowledge flows," Journal of Economic Geography, Oxford University Press, vol. 9(4), pages 439-468, July.
    30. Iris Wanzenb�ck & Thomas Scherngell & Rafael Lata, 2015. "Embeddedness of European Regions in European Union-Funded Research and Development (R&D) Networks: A Spatial Econometric Perspective," Regional Studies, Taylor & Francis Journals, vol. 49(10), pages 1685-1705, October.
    31. Udo Staber, 2009. "Collective learning in clusters: Mechanisms and biases," Entrepreneurship & Regional Development, Taylor & Francis Journals, vol. 21(5-6), pages 553-573, September.
    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. Shuai Liu & Guoxin Jiang & Le Chang & Chao Huang, 2023. "Construction and Simulation of High-Quality Development of China’s Resource-Based Cities Driven by Innovation Based on System Dynamics," IJERPH, MDPI, vol. 20(6), pages 1-16, March.
    2. Wang, Kai & Chen, Xi & Wang, Chenye, 2023. "The impact of sustainable development planning in resource-based cities on corporate ESG–Evidence from China," Energy Economics, Elsevier, vol. 127(PA).
    3. Yiwen Wang & Jiangang Xu & Di Liu & Yuye Zhou, 2023. "Analysis and Comparison of the Industrial Economic Resilience in the Taihu Lake Basin under the 2008 Financial Crisis and the 2018 Sino-US Trade War," Land, MDPI, vol. 12(2), pages 1-22, 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. Rosina Moreno & Ernest Miguélez, 2012. "A Relational Approach To The Geography Of Innovation: A Typology Of Regions," Journal of Economic Surveys, Wiley Blackwell, vol. 26(3), pages 492-516, July.
    2. Markus Grillitsch & Magnus Nilsson, 2015. "Innovation in peripheral regions: Do collaborations compensate for a lack of local knowledge spillovers?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(1), pages 299-321, January.
    3. Ron Boschma, 2017. "Relatedness as driver behind regional diversification: a research agenda," Papers in Evolutionary Economic Geography (PEEG) 1702, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jan 2017.
    4. Grillitsch, Markus & Trippl, Michaela, 2016. "Innovation Policies and New Regional Growth Paths: A place-based system failure framework," Papers in Innovation Studies 2016/26, Lund University, CIRCLE - Centre for Innovation Research.
    5. Alessia Lo Turco & Daniela Maggioni, 2016. "On firms’ product space evolution: the role of firm and local product relatedness," Journal of Economic Geography, Oxford University Press, vol. 16(5), pages 975-1006.
    6. Gai, Zhiqiang & Guo, Yunxia & Hao, Yu, 2022. "Can internet development help break the resource curse? Evidence from China," Resources Policy, Elsevier, vol. 75(C).
    7. Anders Malmberg & Peter Maskell, 2010. "An Evolutionary Approach to Localized Learning and Spatial Clustering," Chapters, in: Ron Boschma & Ron Martin (ed.), The Handbook of Evolutionary Economic Geography, chapter 18, Edward Elgar Publishing.
    8. Matthias Firgo & Peter Mayerhofer, 2015. "Wissens-Spillovers und regionale Entwicklung - welche strukturpolitische Ausrichtung optimiert des Wachstum?," Working Paper Reihe der AK Wien - Materialien zu Wirtschaft und Gesellschaft 144, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik.
    9. Martin, Ron & Sunley, Peter, 2012. "Forms of emergence and the evolution of economic landscapes," Journal of Economic Behavior & Organization, Elsevier, vol. 82(2), pages 338-351.
    10. Sun, Xiaohua & Ren, Junlin & Wang, Yun, 2022. "The impact of resource taxation on resource curse: Evidence from Chinese resource tax policy," Resources Policy, Elsevier, vol. 78(C).
    11. Feldman, Maryann P. & Kogler, Dieter F., 2010. "Stylized Facts in the Geography of Innovation," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 381-410, Elsevier.
    12. Li, Qiangyi & Zeng, Fu'e & Liu, Shaohui & Yang, Mian & Xu, Fei, 2021. "The effects of China's sustainable development policy for resource-based cities on local industrial transformation," Resources Policy, Elsevier, vol. 71(C).
    13. Rune Dahl Fitjar & Andrés Rodríguez-Pose, 2017. "Nothing is in the Air," Growth and Change, Wiley Blackwell, vol. 48(1), pages 22-39, March.
    14. Roberta Capello & Camilla Lenzi, 2018. "The dynamics of regional learning paradigms and trajectories," Journal of Evolutionary Economics, Springer, vol. 28(4), pages 727-748, September.
    15. Matthias Firgo & Peter Mayerhofer, 2015. "Wissensintensive Unternehmensdienste, Wissens-Spillovers und regionales Wachstum. Teilprojekt 1: Wissens-Spillovers und regionale Entwicklung – Welche strukturpolitische Ausrichtung optimiert das Wach," WIFO Studies, WIFO, number 58342, April.
    16. Ron Boschma & Koen Frenken, 2011. "The emerging empirics of evolutionary economic geography," Journal of Economic Geography, Oxford University Press, vol. 11(2), pages 295-307, March.
    17. Giuseppe Calignano & Rune Dahl Fitjar & Nina Hjertvikrem, 2018. "Innovation networks and green restructuring: Which path development can EU Framework Programmes stimulate in Norway?," PEGIS geo-disc-2018_05, Institute for Economic Geography and GIScience, Department of Socioeconomics, Vienna University of Economics and Business.
    18. Laurence Cloutier & Karim Messeghem, 2022. "Whirlwind model of entrepreneurial ecosystem path dependence," Small Business Economics, Springer, vol. 59(2), pages 611-625, August.
    19. Max-Peter Menzel, 2008. "Dynamic Proximities – Changing Relations by Creating and Bridging Distances," Papers in Evolutionary Economic Geography (PEEG) 0816, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Oct 2008.
    20. Alessandra Colombelli & Nick von Tunzelmann, 2011. "The Persistence of Innovation and Path Dependence," Chapters, in: Cristiano Antonelli (ed.), Handbook on the Economic Complexity of Technological Change, chapter 4, Edward Elgar Publishing.

    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:11:y:2022:i:12:p:2123-:d:983453. 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.