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A Versus K Revisited: Evidence from Selected MENA Countries

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Author Info
Aamer Abu-Qarn () (Department of Economics, Ben-Gurion University of the Negev)
Suleiman Abu-Bader () (Department of Economics, Ben-Gurion University of the Negev)

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Abstract

This paper reconsiders the A versus K debate, namely, which factor is the leading contributor to economic growth? productivity gains (A) or factor accumulation (K). The growth accounting analysis is conducted for ten Middle Eastern and North African (MENA) countries over the period 1960-1998. The long-run share of capital in national income is estimated using cointegration (country-specific) and panel data (region-specific) methods. We find that for most of the countries in our sample the share of capital is much higher than the conventional share of 0.3-0.4. The growth accounting exercise conducted with the incorporation of human capital reveals that for the MENA region the contribution of productivity gains to economic growth is negligible and frequently even detrimental. Thus, we conclude that it is factor (both physical and human) accumulation that drives the economic performance of MENA economies.

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File URL: http://www.econ.bgu.ac.il/papers/205.pdf
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File Function: First version, 2005
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Publisher Info
Paper provided by Ben-Gurion University of the Negev, Department of Economics in its series Working Papers with number 205.

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Length: 39 pages
Date of creation: Jul 2005
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Publication status: Forthcoming in World Development
Handle: RePEc:bgu:wpaper:205

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Related research
Keywords: Growth Accounting; Productivity and Factor Accumulation; MENA; Middle-East; Cointegration; Panel Data;

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Find related papers by JEL classification:
O47 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Measurement of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
O53 - Economic Development, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East
C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions
C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data

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