Economic Sustainability of the MENA Region
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Economic Sustainability of the MENA Region
Applied Economics Quarterly, Vol. 65 (2019), Iss. 1 : pp. 71–86
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Sweidan, Osama D., Department of Economics and Finance, United Arab Emirates University, Al-Ain, P.O. Box 15551, UAE. Tel: +971 3 7135297.
Cited By
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Estimation of transport industry’s economic sustainability as an element of strategic management: case of Poland and Ukraine
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Kovova, Irina
Shuliarenko, Svitlana
Shpyrko, Olga
Bukoros, Tetiana
Problems and Perspectives in Management, Vol. 18 (2020), Iss. 2 P.501
https://doi.org/10.21511/ppm.18(2).2020.41 [Citations: 4]
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Abstract
Abstract
This paper calculates an index measuring economic sustainability for the mainstream economy in the MENA region during the period 1999–2016. Our approximation says that a large value of the index indicates more stress on the economy or low sustainability and vice versa. We also explore some macroeconomic variables as potential determinants of economic sustainability. We employ the panel data analysis, in particular the feasible generalized least squares (FGLS). Our results show that economic development, trade openness, and political stability encourage economic sustainability. In contrast, government expenditures and control of corruption hinder the sustainability of the economy. Our paper suggests that policymakers should concentrate on economic development, enhance the trade openness, and create political stability environment to strengthen economic sustainability.
JEL classifications: I31, O11, Q01
Keywords: Economic sustainability; Economic development; Panel analysis; FGLS; MENA region
Table of Contents
Section Title | Page | Action | Price |
---|---|---|---|
Osama D. Sweidan: Economic Sustainability of the MENA Region | 1 | ||
Abstract | 1 | ||
1. Introduction | 1 | ||
Table 1: The Average Real Economic Growth Rateof Different Groups, (1990–2016), in Percent | 3 | ||
2. Literature Review | 3 | ||
3. Data and Methodology | 7 | ||
3.1 Data | 7 | ||
3.2 Independent Variables | 7 | ||
Table 2: Descriptive Statistics (Raw Data) | 9 | ||
3.3 Methodology | 9 | ||
3.4 Preliminary Estimates | 9 | ||
3.5 The Stationarity of the Variables | 1 | ||
Table 3: Panel Unit Root Tests | 1 | ||
4. Results | 1 | ||
Table 4: FGLS Coefficients Estimate, Sample 16 Countries (The Dependent Variable is ΔLnSUSt) | 1 | ||
4.1 Sensitivity Analysis | 1 | ||
Table 5: Sensitivity analysis, FGLS Coefficients Estimate, Sample 12 Countries (The Dependent Variable is ΔLnSUSt) | 1 | ||
5. Conclusions and Policy Implications | 1 | ||
References | 1 |