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Do oil price shocks differently matter for oil exporter and importer developing countries?

Author

Listed:
  • Süleyman Değirmen
  • Cengiz Tunç
  • Ömür Saltık
  • Wasim ul Rehman

Abstract

Purpose - The authors empirically aim to study the implications of uncertainty generated by oil price volatility on some key macroeconomic variables, including production, exchange rates and interest rates, of both oil-exporting and oil-importing countries. Using a block exogeneity structural Vector Auto Regression (VAR) model that mutes the effects of domestic variables on global factors and that is suitable for small open economies because of significant differences in the responses of domestic production in oil-importing countries will most likely decrease through reducing planning horizons, postponing investment projects and relocating resources more inefficiently. Design/methodology/approach - The authors integrated into the structural vector autoregressive (SVAR) model the block exogeneity feature since all the countries in this study are small open economies that cannot influence the global economic variables. The block exogeneity feature imposes the restriction that the domestic variables have neither a contemporaneous nor a lagged impact on the global variables. This model has eight variables: oil price volatility, world demand and federal funds rate as the global variables; and domestic production, monetary aggregate, inflation rate, exchange rate and interest rate as domestic variables. The authors assemble the data for 12 developing countries for which the necessary data for the analysis are available: six oil exporting countries (Russia, Saudi Arabia, Iran, Kazakhstan, Mexico and Colombia) and six oil importing countries (Turkey, India, Philippines, Poland, South Africa and Indonesia). Findings - The results point out significant differences in the responses of macroeconomic variables to oil price volatility shocks between oil-exporting and oil-importing countries. Furthermore, the local currencies of these countries depreciate due to concerns about possible current account worsening. In response to the shock, domestic interest rates are reduced so as to alleviate the negative exposure of the shock on domestic economic activity. While domestic production in some oil-exporting countries (i.e. Russia, Saudi Arabia and Iran) increases during oil price uncertainty; in some other countries (i.e. Mexico, Kazakhstan and Colombia), domestic production decreases. Originality/value - Several components of the study contribute to its novelty. One of them is the period under consideration. The time frame that encompasses the most significant geopolitical and financial events, such as the Middle East Spring and the global financial crisis of 2007–2008. The research was conducted using the block-exogeneity SVAR model, which includes 12 oil exporting and importing developing countries. With this model, the global dynamics, particularly the energy market, that these nations may influence and are influenced by, i.e. global and nonglobal factors can be constrained. This makes it easy to determine the various effects prices have on macroeconomic variables. Highlights - Oil prices and volatility still matter to the global economyMonetary and fiscal policy interventions in response to oil price volatility create uncertainty and impede investment activityThe response of macroeconomic variables to volatility shocks in oil prices varies across oil importers and exportersInterest rates help stabilize production in oil-importing economies that have well-functioning financial markets

Suggested Citation

  • Süleyman Değirmen & Cengiz Tunç & Ömür Saltık & Wasim ul Rehman, 2023. "Do oil price shocks differently matter for oil exporter and importer developing countries?," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 50(8), pages 1775-1788, April.
  • Handle: RePEc:eme:jespps:jes-10-2022-0543
    DOI: 10.1108/JES-10-2022-0543
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    More about this item

    Keywords

    Oil price volatility; Oil exporters; Oil importers; Structural VAR; C32; E23; Q43;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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