Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

The Causal-Effect between Carbon Dioxide Emissions and Forestry Production and Trade: A Case Study in Ghana

Version 1 : Received: 26 December 2016 / Approved: 26 December 2016 / Online: 26 December 2016 (10:06:54 CET)

How to cite: Asumadu-Sarkodie, S.; Owusu, P.A. The Causal-Effect between Carbon Dioxide Emissions and Forestry Production and Trade: A Case Study in Ghana. Preprints 2016, 2016120128. https://doi.org/10.20944/preprints201612.0128.v1 Asumadu-Sarkodie, S.; Owusu, P.A. The Causal-Effect between Carbon Dioxide Emissions and Forestry Production and Trade: A Case Study in Ghana. Preprints 2016, 2016120128. https://doi.org/10.20944/preprints201612.0128.v1

Abstract

In this study, the causal-effect between carbon dioxide emissions and forestry production and trade was investigated in Ghana by employing a data spanning from 1961 to 2014 by using the VECM and ARDL model. Evidence of the long-run equilibrium relationship in the VECM shows that, a 1% increase in veneer sheet production reduces carbon dioxide emissions by 1.47% in the long-run. There was evidence of a bidirectional causality between carbon dioxide emissions and veneer sheet production, carbon dioxide emissions and wood charcoal production, and a unidirectional causality running from carbon dioxide emissions to wood fuel production and plywood production to carbon dioxide emissions. Evidence from the long-run equilibrium relationship in the ARDL model shows that; a 1% increase in plywood production will increase carbon dioxide emissions by 0.17% in the long-run, a 1% increase in sawnwood production will increase carbon dioxide emissions by 0.17% in the long-run, a 1% increase in wood charcoal production will increase carbon dioxide emissions by 0.36% in the long-run and a 1% increase in wood fuel production will increase carbon dioxide emissions by 0.37% in the long-run.

Keywords

forestry production; carbon dioxide emissions; ARDL; Granger-causality; Ghana; econometrics

Subject

Environmental and Earth Sciences, Pollution

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