The relationship between carbon dioxide, crop and food production index in Ghana

by estimating the long-run elasticities and variance decomposition

Samuel Asumadu Sarkodie*, Phebe Asantewaa Owusu

*Corresponding author for this work

    Research output: Contribution to journalArticle

    11 Citations (Scopus)
    60 Downloads (Pure)

    Abstract

    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.

    Original languageEnglish
    Pages (from-to)193-202
    Number of pages10
    JournalEnvironmental Engineering Research
    Volume22
    Issue number2
    DOIs
    Publication statusPublished - 2017

    Bibliographical note

    Copyright the Publisher 2017. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

    Keywords

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

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