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The Resource Curse and Its Transmission Channels: An Empirical Investigation of Chinese Cities’ Panel Data

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  • Jin Guo
  • Xinye Zheng
  • Feng Song

Abstract

This article re-examines the resource curse hypothesis on the city level in China using data from 273 cities during the period 2001–2010. The system GMM dynamic panel estimator is applied to address the potential endogeneity problems. Our empirical analysis suggests that natural resource dependence has a small and insignificant impact on economic output when we control for the negative indirect impacts. If the indirect impacts of the transmission channels through which the resources hinder economic output are included, the total effect of natural resource dependence on economic output increases to 10 times the direct effect. Moreover, the capital investment channel is shown to be the most important of these transmission channels.

Suggested Citation

  • Jin Guo & Xinye Zheng & Feng Song, 2016. "The Resource Curse and Its Transmission Channels: An Empirical Investigation of Chinese Cities’ Panel Data," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 52(6), pages 1325-1334, June.
    • Handle: RePEc:mes:emfitr:v:52:y:2016:i:6:p:1325-1334
    DOI: 10.1080/1540496X.2016.1152812
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    Cited by:

    1. Cheng Peng & Dianzhuang Feng & Hai Long, 2022. "Assessing the Contribution of Natural Gas Exploitation to the Local Economic Growth in China," Energies, MDPI, vol. 15(16), pages 1-17, August.
    2. Hilmawan, Rian & Clark, Jeremy, 2019. "An investigation of the resource curse in Indonesia," Resources Policy, Elsevier, vol. 64(C).
    3. Zheng, Heyun & Ge, Liming, 2022. "Carbon emissions reduction effects of sustainable development policy in resource-based cities from the perspective of resource dependence: Theory and Chinese experience," Resources Policy, Elsevier, vol. 78(C).
    4. Hui Hu & Weijun Ran & Yuchen Wei & Xiang Li, 2020. "Do Energy Resource Curse and Heterogeneous Curse Exist in Provinces? Evidence from China," Energies, MDPI, vol. 13(17), pages 1-26, August.
    5. Mao, Wenxin & Wang, Wenping & Sun, Huifang & Yao, Peiyi & Wang, Xiaolei & Luo, Dang, 2021. "Urban industrial transformation patterns under natural resource dependence: A rule mining technique," Energy Policy, Elsevier, vol. 156(C).
    6. Alvarado, Rafael & Murshed, Muntasir & Cifuentes-Faura, Javier & Işık, Cem & Razib Hossain, Mohammad & Tillaguango, Brayan, 2023. "Nexuses between rent of natural resources, economic complexity, and technological innovation: The roles of GDP, human capital and civil liberties," Resources Policy, Elsevier, vol. 85(PA).

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