%0 Journal Article
%T Carbon Dioxide Emissions, Energy Consumption in Agriculture: A Causality Analysis for India
%A Sudeshna Ghosh
%J Arthaniti: Journal of Economic Theory and Practice
%@ 2517-2654
%D 2018
%R 10.1177/0976747918792640
%X 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 (CO2) emissions, energy consumption, agriculture value added (AV), trade liberalisation and financial development over the time period 1971¨C2013. The study adopts the autoregressive distributed lag (ARDL)-bound testing approach and Johansen¨CJuselius maximum likelihood procedure to find out the cointegrating relation among the variables. Both ARDL approach and Johansen¨CJuselius 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 CO2 emissions, and energy used and CO2 emissions. In the long-run trade, financial development, energy consumption and AV affect CO2 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, Q4
%K India
%K carbon dioxide
%K agriculture
%K ARDL
%K Granger causality
%U https://journals.sagepub.com/doi/full/10.1177/0976747918792640