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Does a meaningful relationship exist between copper prices and economic growth in Zambia?

Author

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  • Sydney Chikalipah

Abstract

Purpose - The purpose of this paper is to examine the causal relationship between the copper price dynamics and economic growth in Zambia over the period from 1995 to 2015. Design/methodology/approach - The study uses a data set assembled from five difference sources: the heritage foundation; the London metal exchange index; the Penn World Tables version 9.0; the total economy database; and the World Bank Development Indicators. The paper employs the Bayesian Model Averaging (BMA) approach as the estimation technique. Findings - The estimates demonstrate that there exists a positive and significant relationship between movements in copper prices and economic growth in Zambia. The study draws policy implications from these findings. Research limitations/implications - This study is limited to the period from 1995 to 2015, this is due to lack of data on the country’s institutional indicators, trade openness and the real exchange rate. Practical implications - There have been calls to diversify the economy of Zambia due to the recurring chaotic events, which are often induced by over-dependence on copper exports. Thus, the study findings will be useful to academia, policy makers and stakeholders with vested interest in the economy of Zambia. Originality/value - To the best of the author’s knowledge, this is the first empirical study to investigate the causal relationship that exists between copper prices and economic growth in Zambia. The existing empirical studies in the domain have devoted their attention on establishing the relationship between commodity price movements and exchange rates in Zambia.

Suggested Citation

  • Sydney Chikalipah, 2018. "Does a meaningful relationship exist between copper prices and economic growth in Zambia?," African Journal of Economic and Management Studies, Emerald Group Publishing Limited, vol. 10(1), pages 72-84, November.
  • Handle: RePEc:eme:ajemsp:ajems-04-2018-0095
    DOI: 10.1108/AJEMS-04-2018-0095
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    More about this item

    Keywords

    Economic growth; Zambia; Total factor productivity; Bayesian model averaging; Copper prices; C11; C23; O47; Q02;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • Q02 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Commodity Market

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