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Quantile on Quantile Analysis of Natural resources-growth and geopolitical risk trilemma

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  • Kong, Yan
  • Dong, Chuntong
  • Zhang, Yingyu

Abstract

The prevailing literature delivers contradictory evidence vis-à-vis the empirical association between economic growth and natural resources and geopolitical risk. Regarding, the current study re-evaluate the nexus between these variables in China throughout 1985M1-2022M4. Using the Bayer-Hanck combined cointegration test, the variables are found cointegrated. Due asymmetrical data distribution, this study employed the novel Quantile-on-Quantile regression and explores the optimistic impact of natural resources on economic growth. Hence, this study validates the resource-growth assumption in the country. On the other hand, the predicted results asserted that geopolitical risk has a mixed influence on economic growth. The positive and negative impacts are evident in medium and “lower and upper” quantiles, respectively. Further, this research acknowledged the two-way causal association between the study variables. Based on the empirics, this research recommends the sustainable extraction and use of natural resources and the stability of political and economic risks in the country.

Suggested Citation

  • Kong, Yan & Dong, Chuntong & Zhang, Yingyu, 2023. "Quantile on Quantile Analysis of Natural resources-growth and geopolitical risk trilemma," Resources Policy, Elsevier, vol. 85(PA).
  • Handle: RePEc:eee:jrpoli:v:85:y:2023:i:pa:s0301420723006463
    DOI: 10.1016/j.resourpol.2023.103935
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