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Energy price reforms, exchange rate devaluation and macroeconomic instability: Evidence from Bayesian VAR identified with sign‐and‐zero restrictions.

  • Published In: OPEC Energy Review, 2024, v. 48, n. 4. P. 308 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Iliyasu, Jamilu; Abubakar, Adamu Usman; Mamman, Suleiman O. 3 of 3

Abstract

This study sets out to examine the effects of the interaction of subsidy removal on premium motor spirit (PMS) and exchange rate devaluation on macroeconomic instability in Nigeria. In this regard, this study adopted the Bayesian vector autoregressive model (BVAR) identified with sign‐and‐zero restrictions for annual data between 1985 and 2022. The empirical results reveal that both the removal of subsidies on PMS and the devaluation of the naira exchange rate significantly undermine real gross domestic product (GDP) growth and raise inflationary pressures in Nigeria. One important implication of this finding is that the ongoing subsidy reforms in the energy sector and associated devaluation of the naira exchange rate raise the risk of stagflation in Nigeria. Secondly, the simulation shows that simultaneous subsidy removal on PMS and exchange rate devaluation can trigger macroeconomic instability. This finding implies that stabilising PMS price and the exchange rate is key to achieving macroeconomic stability in Nigeria. Thus, this study recommends that Nigeria should be cautious and act quickly to cushion the price of PMS from the vagaries of foreign exchange market fluctuations to improve macroeconomic stability in the country. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:OPEC Energy Review. 2024/12, Vol. 48, Issue 4, p308
  • Document Type:Article
  • Subject Area:Economics
  • Publication Date:2024
  • ISSN:1753-0229
  • DOI:10.1111/opec.12315
  • Accession Number:183913005
  • Copyright Statement:Copyright of OPEC Energy Review is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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