What Determines the Long run Growth in Kenya?
AbstractLifting the long run growth rate is, arguably, the pursuit of every economy. What should Kenya do to enhance its long run growth rate? This paper attempts to answer this question by examining the determinants of total factor productivity (TFP) in Kenya. We utilized the theoretical insights from the Solow (1956) growth model and its extension by Mankiw, Romer and Weil (1992) and followed Senhadji’s (2000) growth accounting procedure. We find that growth in Kenya, until the 1990s was mainly due to factor accumulation. Since then, TFP has made a small contribution to growth. Our findings imply that while variables like overseas development aid, foreign direct investment and progress of financial sector improves TFP, trade openness is the key determinant. Consequently, policy makers should focus on policies that improve trade openness if long run growth rate is to be raised.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 24338.
Date of creation: 01 Aug 2010
Date of revision:
Solow model; growth accounting; total factor productivity;
Other versions of this item:
- O10 - Economic Development, Technological Change, and Growth - - Economic Development - - - General
- O15 - Economic Development, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
This paper has been announced in the following NEP Reports:
- NEP-AFR-2010-08-21 (Africa)
- NEP-ALL-2010-08-21 (All new papers)
- NEP-DEV-2010-08-21 (Development)
- NEP-DGE-2010-08-21 (Dynamic General Equilibrium)
- NEP-EFF-2010-08-21 (Efficiency & Productivity)
- NEP-FDG-2010-08-21 (Financial Development & Growth)
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