Economic Growth in the Libyan Rentier Economy and the Sustainability Problem: An Econometric Analysis Using the ARDL Model for the Period (1970–2024)
DOI:
https://doi.org/10.65405/9pvj1p76Keywords:
: النمو الاقتصادي، الاقتصاد الريعي، الاستدامة الاقتصادية، نموذج ARDL، السياسة المالية، سعر الصرف، الانكسار الهيكليAbstract
This study examines the dynamics of economic growth in Libya within a rentier economy predominantly dependent on oil revenues, addressing the issue of long-term economic sustainability. Using annual data for the period 1970–2024, the Autoregressive Distributed Lag (ARDL) model is employed to estimate the short- and long-run relationships between GDP and government expenditure, inflation, unemployment, exchange rate, the oil sector, and the non-oil sector, in addition to a dummy variable capturing the structural break of 2011,
The Bounds Test confirms the existence of a long-run cointegration relationship among the variables. Long-run estimates indicate that fiscal policy and the exchange rate are the main drivers of growth, while inflation and unemployment exert significant negative effects. The oil sector does not exhibit a direct independent long-run impact, suggesting that its influence is transmitted through fiscal and monetary channels. The error correction model reveals a high adjustment speed of approximately 92% annually, reflecting the rapid transmission of shocks within the rentier structure of the economy, The findings highlight the persistence of the rentier nature of the Libyan economy and the weakness of structural transformation, posing significant challenges to achieving sustainable growth. The study recommends redirecting fiscal policy toward productive investment, strengthening price stability, and accelerating economic diversification to enhance growth sustainability and reduce vulnerability to external shocks.
Downloads
References
Afonso, A., & Sousa, R. M. (2018). Fiscal policy, government spending, and economic growth. Journal of Economic Surveys, 32(2), 482–503.
Al-Mulali, U., & Sab, C. N. (2020). Oil revenues and economic growth in oil-exporting countries. Energy Economics, 85, 104–120.
Ball, L., Leigh, D., & Loungani, P. (2017). Okun’s law: Fit at 50? Journal of Money, Credit and Banking, 49(7), 1413–1441.
Bahar, D., & Santos, M. A. (2018). One more resource curse: Dutch disease and export concentration. Journal of Development Economics, 132, 102–114.
Barro, R. J. (2013). Inflation and economic growth. Annals of Economics and Finance, 14(1), 85–109.
Predictive Governance in Digital Enterprises: An LSTM-Enhanced Deep Learning Framework for Economic Optimization of IT Incident Management Using Enriched Process Logs. (2026). Al-Farooq Journal of Sciences, 2(3), 86-113. https://doi.org/10.65405/dctw1z34
Corden, W. M., & Neary, J. P. (1982). Booming sector and de-industrialisation in a small open economy. The Economic Journal, 92(368), 825–848.
Couharde, C., Delatte, A. L., & Mignon, V. (2019). Exchange rate misalignment and growth. The World Economy, 42(1), 45–72.
Habib, M. M., & Kalamova, M. (2007). Are there oil currencies? The real exchange rate of oil exporting countries. European Central Bank Working Paper No. 839.
Keynes, J. M. (1936). The general theory of employment, interest and money. Macmillan.
Khan, M. S., & Senhadji, A. S. (2001). Threshold effects in the relationship between inflation and growth. IMF Staff Papers, 48(1), 1–21.
Nguyen, C. P., Su, T. D., & Nguyen, T. V. H. (2021). Fiscal policy and long-run growth: Evidence from developing countries. Economic Modelling, 94, 89–101.
Obstfeld, M., & Rogoff, K. (1996). Foundations of international macroeconomics. MIT Press.
Tariq Alnnale. (2026).Predictive Governance in Digital Enterprises: An LSTM-Enhanced Deep Learning Framework for Economic Optimization of IT Incident Management Using Enriched Process Logs.DOI: https://doi.org/10.65405/dctw1z34.
Okun, A. M. (1962). Potential GNP: Its measurement and significance. Proceedings of the American Statistical Association, 98–104.
Perron, P. (1989). The great crash, the oil price shock, and the unit root hypothesis. Econometrica, 57(6), 1361–1401.
Perron, P., & Yamamoto, Y. (2019). Testing for structural breaks in time series. Journal of Econometrics, 210(1), 1–20.
Sarel, M. (1996). Nonlinear effects of inflation on economic growth. IMF Staff Papers, 43(1), 199–215.










