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Research on Resource Curse Effect of Resource-Dependent Cities: Case Study of Qingyang, Jinchang and Baiyin in China

Author

Listed:
  • Chenyu Lu

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China)

  • Dai Wang

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China)

  • Peng Meng

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China)

  • Jiaqi Yang

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China)

  • Min Pang

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China)

  • Li Wang

    (School of Economics and Management, Lanzhou Jiaotong University, Lanzhou 730070, China)

Abstract

For a specific small-scale region with abundant resources, its copious resources tend to dictate the basic direction of its development, and may subsequently give rise to an industrial structure centered on the advantageous resources. This can give rise to an economic structure that lacks diversity, causing the economic development in the entire local region to fall into the dilemma of the resource curse. The present study conducts a case study from the perspective of small-scale regions, incorporating various types of resource-dependent cities in China, including Qingyang, Jinchang, and Baiyin, to interpret and analyze the resource curse effect by calculating a resource curse coefficient. Moreover, based on the regression model, the present study further discusses the empirical relations associated with the resource curse phenomenon. The results show that, regardless of whether a resource-dependent city is in the early, intermediate or late stage of its resource development, economic development is always plagued by the resource curse effect to a certain degree. Resource development cannot promote economic development, rather, it inhibits economic growth to some extent, resulting in an array of effects that are unfavorable to economic development, rendering the development unsustainable. For different types of resource-dependent cities, resource curse effect exhibits distinct characteristics. The resource curse effect is strongest for a resource-dependent city during an economic recession, is less severe during a development period, and is weakest during maturation. Resource development not only has a direct adverse impact on economic growth, but also often affects economic growth in multiple ways and on various levels through the Dutch disease effect, the crowding out effect, and the institution weakening effect. Until now, most results show that there is no obvious resource curse effect at the national and provincial level. The verification results of small-scale regions show that the resource curse effect at the city level still exists. In addition, the resource curse effect differs across different types of resource-dependent cities.

Suggested Citation

  • Chenyu Lu & Dai Wang & Peng Meng & Jiaqi Yang & Min Pang & Li Wang, 2018. "Research on Resource Curse Effect of Resource-Dependent Cities: Case Study of Qingyang, Jinchang and Baiyin in China," Sustainability, MDPI, vol. 11(1), pages 1-21, December.
  • Handle: RePEc:gam:jsusta:v:11:y:2018:i:1:p:91-:d:192924
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    References listed on IDEAS

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    1. Noel D. Campbell & Thomas J. Snyder, 2012. "Economic Growth, Economic Freedom, and the Resource Curse," Journal of Private Enterprise, The Association of Private Enterprise Education, vol. 28(Fall 2012), pages 23-46.
    2. Elbra, Ainsley D., 2013. "The forgotten resource curse: South Africa's poor experience with mineral extraction," Resources Policy, Elsevier, vol. 38(4), pages 549-557.
    3. Smith, Brock, 2015. "The resource curse exorcised: Evidence from a panel of countries," Journal of Development Economics, Elsevier, vol. 116(C), pages 57-73.
    4. Stratford Douglas & Anne Walker, 2017. "Coal Mining And The Resource Curse In The Eastern United States," Journal of Regional Science, Wiley Blackwell, vol. 57(4), pages 568-590, September.
    5. Sachs, J-D & Warner, A-M, 1995. "Natural Resource Abundance and Economic Growth," Papers 517a, Harvard - Institute for International Development.
    6. Satti, Saqlain Latif & Farooq, Abdul & Loganathan, Nanthakumar & Shahbaz, Muhammad, 2014. "Empirical evidence on the resource curse hypothesis in oil abundant economy," Economic Modelling, Elsevier, vol. 42(C), pages 421-429.
    7. Auty, R. & Warhurst, A., 1993. "Sustainable development in mineral exporting economies," Resources Policy, Elsevier, vol. 19(1), pages 14-29, March.
    8. Larsen, E.Roed., 2005. "Are rich countries immune to the resource curse? Evidence from Norway's management of its oil riches," Resources Policy, Elsevier, vol. 30(2), pages 75-86, June.
    9. Chenyu Lu & Chunjuan Wang & Weili Zhu & Hengji Li & Yongjin Li & Chengpeng Lu, 2015. "GIS-Based Synthetic Measurement of Sustainable Development in Loess Plateau Ecologically Fragile Area—Case of Qingyang, China," Sustainability, MDPI, vol. 7(2), pages 1-19, February.
    10. Weber, Jeremy G., 2014. "A decade of natural gas development: The makings of a resource curse?," Resource and Energy Economics, Elsevier, vol. 37(C), pages 168-183.
    11. Gylfason, Thorvaldur, 2001. "Natural resources, education, and economic development," European Economic Review, Elsevier, vol. 45(4-6), pages 847-859, May.
    12. James, Alex & Aadland, David, 2011. "The curse of natural resources: An empirical investigation of U.S. counties," Resource and Energy Economics, Elsevier, vol. 33(2), pages 440-453, May.
    13. Mutiu A. Oyinlola & Oluwatosin A. Adeniyi & Ibrahim D. Raheem, 2015. "Natural resource abundance, institutions and economic growth in Africa," African Journal of Economic and Sustainable Development, Inderscience Enterprises Ltd, vol. 4(1), pages 34-48.
    14. Bildirici, Melike Elif & Kayıkçı, Fazıl, 2013. "Effects of oil production on economic growth in Eurasian countries: Panel ARDL approach," Energy, Elsevier, vol. 49(C), pages 156-161.
    15. Corden, W Max & Neary, J Peter, 1982. "Booming Sector and De-Industrialisation in a Small Open Economy," Economic Journal, Royal Economic Society, vol. 92(368), pages 825-848, December.
    16. Papyrakis, Elissaios & Gerlagh, Reyer, 2007. "Resource abundance and economic growth in the United States," European Economic Review, Elsevier, vol. 51(4), pages 1011-1039, May.
    17. Sachs, Jeffrey D. & Warner, Andrew M., 2001. "The curse of natural resources," European Economic Review, Elsevier, vol. 45(4-6), pages 827-838, May.
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