Economic growth in Libya and resource curse phenomenon Does trade openness improve the situation?

Authors

  • Hussen Faraj Alhwij Department of Economics - Faculty of Economics and Commerce -Elmergib University

DOI:

https://doi.org/10.37375/esj.v5i3.157

Keywords:

Trade openness, Economic growth, Natural resources, Autoregression, Libyan economy, JEL classification

Abstract

The aim of this study is to estimate the impact of trade openness on the relationship between natural resources and economic growth in the Libyan economy during the period 1962-2017. In order to achieve its objective the study utilized Augmented ARDL model and Augmented VAR model. The main findings of the study indicated a positive impact of trade openness on the relationship between natural resource abundant index and economic growth. However, a negative impact of trade openness on the relationship between natural resource dependence index and economic growth was captured.

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• Arezki, R., & Van der Ploeg, F. (2010). Trade policies, institutions and the natural resource curse. Applied Economics Letters, 17(15), 1443-1451.

• Bilen, C & Huzurbazar, S. (2002). Wavelet-Based Detection of Outliers in Time Series. Journal of Computational and Graphical Statistics, 11(2), 311-327.

• Castle, J. L., & Hendry, D. F. (2019). Detectives of Change: Indicator Saturation. In Modelling our Changing World (pp. 67-84). Palgrave Pivot, Cham.

• Doornik, J. A., Hendry, D. F., & Pretis, F. (2013). Step-indicator saturation. University of Oxford, Department of Economics.

• Haddad, M., Lim, J. J., Pancaro, C., & Saborowski, C. (2013). Trade openness reduces growth volatility when countries are well diversified. Canadian Journal of Economics/Revue canadienne d'économique, 46(2), 765-790. Hendry, D.F. (2000). Epilogue: The Success of General-to-Specific Model Selection, In: Hendry, Alchemy or Science? New edition. Oxford University Press, D.F. (Ed.), Econometrics:

• Iimi, A. (2007). Escaping from the Resource Curse: Evidence from Botswana and the Rest of the World. IMF Staff Papers, 54(4), 663-699.

• IMF, International Monetary Fund, The commodity terms of trade database, http://data.imf.org Kremers, J. (1986). "The Dutch Disease in The Netherlands." in Natural Resources and the Macroeconomy, eds. Neary, P. and S. van Wijnbergen, MIT Press, Cambridge, MA. Kumar Narayan, P., & Smyth, R. (2006). Higher education, real income and real investment in China: evidence from Granger causality tests. Education Economics, 14(1), 107-125. Lederman, D., & Maloney, W. F. Trade structure and growth. The world bank, Latin America and the Caribbean Region, Office of the Chief Economist, Regional Studies Program,

• Policy Research Working Paper 3025. April (2003).

• Majumder, M. K., Raghavan, M., & Vespignani, J. (2020). Oil curse, economic growth and trade openness. Energy Economics, 91, 104896.

• Mankiw, N. G., Romer, D., & Weil, D. N. (1992). A contribution to the empirics of economic growth. The quarterly journal of economics, 107(2), 407-437.

• Odhiambo, N. M. (2008). Financial depth, savings and economic growth in Kenya: A dynamic causal linkage. Economic Modelling, 25(4), 704-713.

• Odhiambo, N. M. (2009). Energy consumption and economic growth nexus in Tanzania: An ARDL bounds testing approach. Energy Policy, 37(2), 617-622.

• Olayungbo, D. O. (2019). Effects of oil export revenue on economic growth in Nigeria: A time varying analysis of resource curse. Resources Policy, 64, 101469.

• Papyrakis, E., & Gerlagh, R. (2004). The resource curse hypothesis and its transmission channels. Journal of Comparative Economics, 32(1), 181-193.

• Pesaran, M. H., & Shin, Y. (1998). An autoregressive distributed-lag modelling approach to cointegration analysis. Econometric Society Monographs, 31, 371-413.

• Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of applied econometrics, 16(3), 289-326.

• Sachs, J. D., & Warner, A. (1995). Natural resource abundance and economic growth. NBER Working paper 5398.

• Sam, C. Y., McNown, R., & Goh, S. K. (2019). An augmented autoregressive distributed lag bounds test for cointegration. Economic Modelling, 80, 130-141.

• Santos, C., Hendry, D. F., & Johansen, S. (2008). Automatic selection of indicators in a fully saturated regression. Computational Statistics, 23(2), 317-335.

• Solow, R. M. (1956). A contribution to the theory of economic growth. The quarterly journal of economics, 70(1), 65-94.

• Toda, H. Y., & Yamamoto, T. (1995). Statistical inference in vector autoregressions with possibly integrated processes. Journal of econometrics, 66(1-2), 225-250.

• UN, United Nations, Statistical Database, http://data.un.org.

• WB, World Bank Database: https://data.worldbank.org/

• Yusuf, S., & Omar, M. R. (2019). Trade Openness and Economic Growth of Tanzania. Asian Journal of Economics, Business and Accounting, 12 (3) 1-10.

Published

2022-07-01

How to Cite

Hussen Faraj Alhwij. (2022). Economic growth in Libya and resource curse phenomenon Does trade openness improve the situation?. Economic Studies Journal, 5(3), 1–26. https://doi.org/10.37375/esj.v5i3.157

Issue

Section

The 5 volume in 2022