Bank Credit and Aggregate Import Demand in South Africa: An Autoregressive Distributed Lag Approach

Authors

  • Emmanuel Ziramba Professor of Economics, Department of Economics, University of Namibia, Windhoek, Namibia
  • Johanna Mumangeni Department of Economics, University of Namibia, Windhoek, Namibia

DOI:

https://doi.org/10.19044/esj.2017.v13n16p71

Abstract

This study reformulated the aggregate import demand function for South Africa by incorporating a financial variable, bank credit. The study used the bounds testing approach for cointegration and the autoregressive distributed lag models to estimate short-run and long-run elasticities of aggregate import demand. The cointegration results confirm a long run relationship between the quantity of imports and the explanatory variables. Although bank credit has a positive impact on aggregate imports, it is statistically insignificant. It is statistically significant in the short-run. Our results suggest that bank credit is insufficient as a policy instrument for longterm import demand in South Africa. It can only be useful in managing the South African external balance in the short-run.

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Published

2017-06-30

How to Cite

Ziramba, E., & Mumangeni, J. (2017). Bank Credit and Aggregate Import Demand in South Africa: An Autoregressive Distributed Lag Approach. European Scientific Journal, ESJ, 13(16), 71. https://doi.org/10.19044/esj.2017.v13n16p71