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Data envelopment analysis (DEA) is effective to evaluate energy efficiency, but few studies use this technique considering carbon emissions. This paper measures Chinese industrial sector's energy efficiency considering carbon emissions based on the slack-based measure (SBM) model in 1997-2008. The results show that Chinese industrial energy efficiency is relatively low, the average scores (SBM-based)...
Based on autoregressive distributed lag model, this study examines the long-run relationship between carbon intensity and energy efficiency, income level, coal price and industrial composition in the case of China by employing time series data of 1980-2007. The results show that there is a long-run equilibrium relationship and short-run adjusting relationship between China's carbon intensity and Per...
This paper proposes a framework for China to achieve low-carbon economy by disruptive innovations. Chinapsilas rapid industrialization and economic growth have significantly increased its energy consumption. The issue of Greenhouse Gas mitigation poses a huge challenge to China to create an innovative and sustainable development pattern. Both theoretical and empirical studies imply that technological...
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