Testing for Long-Run Relation between Economic Growth and Export Earnings of Cocoa in Ghana using Co-Integration Techniques

Authors

  • Eric Neebo Wiah University of Mines and Technology
  • Sampson Twumasi-Ankrah University of Mines and Technology

Keywords:

Cointegration, VECM, Johansen, Economic Growth, Export

Abstract

 

In this study, we explore the causal influence of export earnings of cocoa towards economic growth (i.e., gross domestic product (GDP)). The augmented Dickey–Fuller (ADF) and the Phillips–Perron (PP) unit root tests indicate that the two series are integrated of order one, I (1). The results of the trace and the maxi-eigenvalue cointegration test based on Johansen’s procedure indicate the existence of a cointegration between export earnings of cocoa and GDP. Thus, the two variables of the study have a long-run equilibrium relationship. The vector error correction model of order two, VECM (2), was considered as the “best†model after evaluating other competing models. It is observed that, in the long-run, previous year export earnings of cocoa is positively related to economic growth. In the short run, the results revealed that the previous GDP has positive effect on current GDP; and higher export earnings of cocoa have positive effect on GDP. Feedback causality is observed between economic growth (GDP) and export earnings of cocoa. This suggests a bi-directional causality from export earnings to economic growth (GDP).

Author Biographies

Eric Neebo Wiah, University of Mines and Technology

 Eric Neebo Wiah (PhD) is a Lecturer at the Department of Mathematics, University of Mines and Technology (UMaT), Tarkwa, Ghana. He holds a Bachelor of Science degree and Master of Philosophy degree in Mathematics from the KNUST, Kumasi, Ghana. He obtained his Doctor of Philosophy from UMaT. His current research interest focuses on applying discrete and continuous element modeling to transportation reactions, mineral Separation and Size Reduction. Also, interested in numerical weather and climate prediction and regional climate modeling using WRF

Sampson Twumasi-Ankrah, University of Mines and Technology

Sampson Twumasi-Ankrah (PhD)is a Lecturer at the Department of Mathematics, University of Mines and Technology (UMaT), Tarkwa, Ghana. He holds a Ph.D in Statistics from the University of Peradeniya, Sri Lanka. His current research interest focuses on model selection, diagnostics analysis, medical statistics, agricultural statistics, pharmaceutical statistics, extreme events and econometrics  

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Published

2016-12-19