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Investigating the impact of remittance outflows and oil price on economic growth in Gulf Cooperation Council countries

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  • Alsamara, Mouyad
  • Mrabet, Zouhair

Abstract

Most existing studies have focused on examining the impact of labor remittance outflows on economic growth in the receiving countries, with limited attention given to the sending countries. This study utilizes the nonlinear augmented mean group method to explore the possible asymmetric impact of remittance outflows on economic growth in Gulf Cooperation Council (GCC) countries for the period of 2000–2019. The results indicate that non-oil real GDP exhibits an adverse and magnified response to an increase in remittance outflows, relative to a decrease. Furthermore, this negative impact is amplified when accounting for oil price changes. These findings have significant implications for labor markets and nationalization policies in the GCC countries.

Suggested Citation

  • Alsamara, Mouyad & Mrabet, Zouhair, 2023. "Investigating the impact of remittance outflows and oil price on economic growth in Gulf Cooperation Council countries," Resources Policy, Elsevier, vol. 82(C).
    • Handle: RePEc:eee:jrpoli:v:82:y:2023:i:c:s0301420723002684
    DOI: 10.1016/j.resourpol.2023.103557
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    3. Tillaguango, Brayan & Hossain, Mohammad Razib & Cuesta, Lizeth & Ahmad, Munir & Alvarado, Rafael & Murshed, Muntasir & Rehman, Abdul & Işık, Cem, 2024. "Impact of oil price, economic globalization, and inflation on economic output: Evidence from Latin American oil-producing countries using the quantile-on-quantile approach," Energy, Elsevier, vol. 302(C).
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    Keywords

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    JEL classification:

    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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