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Based on provincial panel data from 2000 to 2014, this paper measured the total factor energy efficiency by adopting the dynamic slacks-based measure model, and then employed the spatial econometric model to analyze the impact of regional mitigation of carbon dioxide on energy efficiency from both intra-regional and inter-regional perspectives in China. The results show the following: first, the average of total factor energy efficiency presents a rising trend from 2000 to 2014, and it shows a significant difference among regions. Second, the direct effect of carbon productivity on energy efficiency is positive, but the indirect effect is negative. The share ratio of direct and indirect effects is 1: −0.96; the total effect is positive but insignificant. Based on this conclusion, the paper provides some relevant policy suggestions and measures for regionally saving energy resources and relieving environmental constraints. [ABSTRACT FROM AUTHOR]

A reduction in the CO2 emission intensity (ton per gross domestic product) from a base year to a target year with different rates of reduction in each individual year can yield different cumulative CO2 emissions over time, which could have different effects on the climate. In this paper, an indicator is proposed to measure the extent to which the cumulative CO2 emissions are generated by a specific reduction trajectory of CO2 emission intensity, especially for emerging economies with a relatively higher economic growth rate. The proposed indicator is important for less-developed countries and regions in which economic growth is heavily reliant on energy and in which significant potential exists for improvement of energy efficiency. The indicator is applied to evaluate the CO2 emission reduction performance in China's 12th Five-Year Plan period, and the result is not encouraging, especially when the likely gap between the energy conservation goals and temperature goals is further examined. Mitigation goals should be set by considering not only the performance in the final year, but also the reduction in cumulative emissions over the evaluation period. [ABSTRACT FROM AUTHOR]

The present study investigates the long-run impact of financial development, energy consumption and economic growth on greenhouse gas emissions for India, in the presence of endogenous structural breaks, over the period 1971–2013. The autoregressive distributed lag bounds testing procedure (ARDL) and Hatemi-J threshold cointegration technique were used to test the variables for cointegration. ARDL bounds test did not confirm any cointegrating relationship between the variables. The threshold cointegration test establishes the presence of long-run impact of financial development, energy use and economic growth on greenhouse gas emissions in India. The results reveal that the long-run relationship between the variables has witnessed two regime shifts, in 1978 and 2002. The empirical evidence shows that financial sector development and energy consumption in India degrade the environment. Unlike previous studies, this paper finds no statistical evidence of a long-run relationship between economic growth and environmental deterioration. The study also challenges the existence of an environmental Kuznets curve in India. [ABSTRACT FROM AUTHOR]