The relationship between carbon dioxide, crop and food production index in Ghana: By estimating the long-run elasticities and variance decomposition

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2017-06-01

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Sarkodie, Samuel Asumadu
Owusu, Phebe Asantewaa

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The study estimated the relationship between carbon dioxide, crop and livestock production index in Ghana: Estimating the long-run elasticities and variance decomposition by employing a time series data spanning from 1960-2013 using both fit regression and ARDL models. There was evidence of a long-run equilibrium relationship between carbon dioxide emissions, crop production index and livestock production index. Evidence from the study shows that a 1% increase in crop production index will increase carbon dioxide emissions by 0.52%, while a 1% increase in livestock production index will increase carbon dioxide emissions by 0.81% in the long-run. There was evidence of a bidirectional causality between a crop production index and carbon dioxide emissions and a unidirectional causality exists from livestock production index to carbon dioxide emissions. Evidence from the variance decomposition shows that 37% of future fluctuations in carbon dioxide emissions are due to shocks in the crop production index while 18% of future fluctuations in carbon dioxide emissions are due to shocks in the livestock production index. Efforts towards reducing pre-production, production, transportation, processing and post-harvest losses are essential to reducing food wastage which affects Ghana's carbon footprint.

Subject Keywords

Carbon dioxide emissions, Econometrics, Food production, Ghana, Variance decomposition

URI

https://hdl.handle.net/11511/65480

Journal

ENVIRONMENTAL ENGINEERING RESEARCH

DOI

https://doi.org/10.4491/eer.2016.135

Collections

Engineering, Article

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Citation Formats

S. A. Sarkodie and P. A. Owusu, “The relationship between carbon dioxide, crop and food production index in Ghana: By estimating the long-run elasticities and variance decomposition,” ENVIRONMENTAL ENGINEERING RESEARCH, pp. 193–202, 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/65480.