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Carbon emissions, energy use, real GDP per capita and trade matrix in the Indian economy-an ARDL approach

机译：印度经济中的碳排放量，能源使用，实际人均GDP和贸易矩阵-ARDL方法

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The study analyzes the effects of carbon dioxide emissions, energy use, gross fixed capital formation, real GDP per capita, exports and imports on Indian economic growth. The study seeks an answer to the following question: When examining the relationships that exist between these parameters, what are the driving forces behind the growth trajectory of the Indian economy? An ARDL model was applied to the analysis of annual data so as to determine co-integration on variables and the nature of the relationship for the period 1971-2014. Empirically, it was found that in the short-term, Real Gross Domestic Product per Capita (LGDPP) for the Indian economy is affected by its past value, Gross Fixed Capital Formation (LGCAPP), Energy Consumption (LENERP) Carbon Emissions (LCO2P) and Imports (LIMPP); however, in the long-term, Gross Fixed Capital Formation (LGCAPP) and Exports (LEXPOP) played a significant role. The error correction model revealed the existence of some co-integration relationship for the entirety of the variables in the study for the short-term and long-term. It is concluded that policies should have clear alternative renewable energy consumption targets in order to achieve energy efficiency and achieve sustainable growth of the economy, while reducing carbon dioxide emissions. (C) 2018 Elsevier Ltd. All rights reserved.
机译：该研究分析了二氧化碳排放，能源使用，固定资本形成总额，人均实际GDP，出口和进口对印度经济增长的影响。该研究寻求以下问题的答案：在检查这些参数之间存在的关系时，印度经济增长轨迹背后的驱动力是什么？将ARDL模型应用于年度数据分析，以确定1971-2014年期间变量的协整关系和关系的性质。根据经验，发现在短期内，印度经济的人均实际国内生产总值（LGDPP）受其过往价值，固定资本形成总额（LGCAPP），能源消耗（LENERP）碳排放量（LCO2P）的影响和进口（LIMPP）；但是，从长期来看，固定资本形成总额（LGCAPP）和出口（LEXPOP）发挥了重要作用。误差校正模型揭示了短期和长期研究中变量整体存在某种协整关系。结论是，政策应有明确的替代性可再生能源消费目标，以实现能源效率和实现经济的可持续增长，同时减少二氧化碳的排放。 （C）2018 Elsevier Ltd.保留所有权利。

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