{'fraction_non_alphanumeric': 0.031746031746031744, 'fraction_numerical': 0.015873015873015872, 'mean_word_length': 5.837349397590361, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Carbon Dioxide Emissions, Energy Consumption in Agriculture: A Causality Analysis for India

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 1971–2013. 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 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, Q43