 Carbon Dioxide Emissions, Energy Consumption in Agriculture: A Causality Analysis for IndiaSudeshna Ghosh Arthaniti: Journal of Economic Theory and Practice, 2018, vol. 17, issue 2, 183-207 Abstract: Abstract This article utilises the vector error correction model (VECM) and Granger causality tests to explore short-run and long-run relationships, in India, across carbon dioxide (CO 2 ) emissions, energy consumption, agriculture value added (AV), trade liberalisation and financial development over the time period 1971–2013. The study adopts the autoregressive distributed lag (ARDL)-bound testing approach and Johansen–Juselius maximum likelihood procedure to find out the cointegrating relation among the variables. Both ARDL approach and Johansen–Juselius cointegration approach show that the concerned variables under study are cointegrated. Short-run Granger causality results indicate the existence of bidirectional causality between AV and CO 2 emissions, and energy used and CO 2 emissions. In the long-run trade, financial development, energy consumption and AV affect CO 2 emissions. The results put thrust on the need to utilise energy-efficient technologies in agriculture to save the damage of the environment. JEL: C32, O53, Q43 Keywords: India; carbon dioxide; agriculture; ARDL; Granger causality (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:sae:artjou:v:17:y:2018:i:2:p:183-207 Access Statistics for this article More articles in Arthaniti: Journal of Economic Theory and Practice |
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