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Asymmetric dynamics and quantile dependency of the resource curse in the USA

  • Shandong University of Science and Technology
  • University Utara Malaysia
  • Ilma University
  • Transilvania University of Brasov

Research output: Contribution to journal › Article › peer-review

25 Citations (Scopus)

Abstract

The current research examines the asymmetric relationship between the natural resources rent (NRR) and financial development (FD) under the shadow of the USA's resource curse hypothesis during 1980–2018. This research has applied the Quantile Autoregressive distributed Lag (QARDL) method, along with Granger-causality in Quantiles, to investigate the relationship among the NRRs and FD on a causal basis along with the gross domestic product, renewable energy (REN), and non-renewable energy (NEN), respectively. The QARDL model's findings provide evidence that the error correction parameter is significantly negative for all the quantiles except for 0.05, 0.10, and 0.20. This outcome confirms the existence of a long-run equilibrium association between the study variables and FD in the USA's economy. Furthermore, the present study's outcomes suggested that economic growth and REN are positively contributing towards FD in the stated quantiles. Finally, this research has tested the “resource curse Hypothesis,” and findings through QARDL confirm its presence through NRR and FD relationship. The study outcome for the Granger-causality causal inquiry in the quantiles clear the bi-directional causal association among the study key variables.

Original languageEnglish
Article number102104
JournalResources Policy
Volume72
DOIs
Publication statusPublished - Aug 2021
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth

Keywords

  • Financial development
  • Gross domestic product
  • Natural resources
  • QARDL
  • USA

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