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Abstract: The paper investigates the causality relationships among energy consumption, carbon dioxide (CO2) emissions and income in India using a dynamic modeling approach. The paper also utilises an innovation accounting method to investigate profiles of the macroeconomic variables persisting from an unanticipated shock in innovation. Our results provide evidence of the existence of bi-directional Granger causality between energy consumption and CO2 emissions in the long-run but neither CO2 emissions nor energy consumption causes movements in real income. There is no causality relationship between energy consumption and income in any direction in the long-run implying that India could follow energy conservation and efficiency improvement policies without impeding economic growth. This will allow India to reduce CO2 emissions without affecting its economic growth and contribute significantly towards combating global warming as well. [Copyright &y& Elsevier]

The paper analyzes the causal relationship between energy demand and economic growth in Bangladesh using annual time series data from 1980 to 2011 from World Development Indicator (WDI), Database of the World Bank. Since the results of causal direction are sensitive to the models being employed, the paper uses Maximum Entropy Bootstrap (meboot) due to its superiority to overcome small sample bias and limitation of asymptotic distribution theory. To avoid the omitted variables bias, the paper uses multivariate framework in production function specification. The paper finds that a unidirectional causality runs from economic growth to energy demand which indicates that conservative policy might not harm the Bangladesh economy but since economic progress leads higher energy consumption, demand side management of energy and exploring renewable energy sources are must. The implications are discussed. [ABSTRACT FROM AUTHOR]