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The nexus between key macroeconomic determinants and economic growth in Zambia: A dynamic multivariate granger-causality linkage

Themba Chirwa and Nicholas Odhiambo

No 23476, Working Papers from University of South Africa, Department of Economics

Abstract: This study investigates the nexus between key macroeconomic determinants and economic growth in Zambia by employing the Autoregressive Distributed Lag model to test for Granger-causality covering the period 1970?2015. The empirical results reveal that there are three distinct Granger-causality hypotheses that exist in Zambia related to economic growth. The dominant hypothesis is the feedback hypothesis between investment, population growth, foreign aid and economic growth in both the short and long run; between real exchange rate, trade openness and economic growth in the short run; and between government consumption, inflation and economic growth in the long run. The second is the supply-leading hypothesis that runs from government consumption and inflation to economic growth in the short run; and from real exchange rate and trade openness to economic growth in the long run. Lastly, the neutrality hypothesis holds between human capital and economic growth in the short run. These results have significant policy implications for the Zambian economy. They imply that the authorities should focus on promoting economic incentives that encourage the growth of real GDP per capita and investment, improve the quality of human capital, trade reforms, population control, macroeconomic stability, and the effectiveness of foreign aid

Keywords: Zambia; Autoregressive Distributed Lag Models; Cointegration; Granger-causality; Economic Growth (search for similar items in EconPapers)
Date: 2017-12
New Economics Papers: this item is included in nep-afr, nep-gro and nep-mac
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Citations: View citations in EconPapers (1)

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Journal Article: The nexus between key macroeconomic determinants and economic growth in Zambia: a dynamic multivariate Granger causality linkage (2019) Downloads
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