Carbon dioxide emissions, GDP per capita, industrialization and population

an evidence from Rwanda

Samuel Asumadu-Sarkodie*, Phebe Asantewaa Owusu

*Corresponding author for this work

Research output: Contribution to journalArticle

8 Citations (Scopus)
315 Downloads (Pure)

Abstract

The study makes an attempt to investigate the causal nexus between carbon dioxide emissions, GDP per capita, industrialization and population with an evidence from Rwanda by employing a time series data spanning from 1965 to 2011 using the autoregressive distributed lag model. Evidence from the study shows that carbon dioxide emissions, GDP per capita, industrialization and population are co-integrated and have a long-run equilibrium relationship. Evidence from the Granger-causality shows a unidirectional causality running from industrialization to GDP per capita, population to carbon dioxide emissions, population to GDP per capita and population to industrialization. Evidence from the long-run elasticities has policy implications for Rwanda; a 1% increase in GDP per capita will decrease carbon dioxide emissions by 1.45%, while a 1% increase in industrialization will increase carbon dioxide emissions by 1.64% in the long-run. Increasing economic growth in Rwanda will therefore reduce environmental pollution in the long-run which appears to support the validity of the environmental Kuznets curve hypothesis. However, industrialization leads to more emissions of carbon dioxide, which reduces environment, health and air quality. It is noteworthy that the Rwandan Government promotes sustainable industrialization, which improves the use of clean and environmentally sound raw materials, industrial process and technologies.

Original languageEnglish
Pages (from-to)116-124
Number of pages9
JournalEnvironmental Engineering Research
Volume22
Issue number1
DOIs
Publication statusPublished - 1 Mar 2017
Externally publishedYes

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

  • ARDL bounds test
  • Carbon dioxide emissions
  • Econometrics multivariate co-integration
  • Rwanda

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