A Resampling Slack-Based Energy Efficiency Analysis: Application in the G20 Economies

In order to have a sustainable economic and social development, it is important balance growth ecological environmental damage. this article, we used the resampling model under triangular distribution evaluate energy efficiency, because input/output value may measurement errors, time lag factors, arbitrariness, other problems, causing their own DMU change. After these factors were taken into consideration, resampled was estimated super-SBM efficiency placed in confidence interval. From past-present data, for data change, weight provided according Lucas series, time-weighted. We applied dataset of G20 economies from 2010 2014. To best our knowledge, very few studies DEA method with analyze efficiency. Thus, study contributes methodologies evaluation. found that overall average 0.653, substantial differences between developed developing economies. The most finding neither overestimation nor underestimation occurred when sampling repeated one thousand times using 95% 80% intervals, confirming robustness model. less energy-efficient should adjust policies appropriately develop new clean technologies future.