| Abstract |
Energy efficiency is closely related to energy supply and demand, economic development, and environmental pollution, but the key to achieving energy and environmental efficiency remains the energy strategy. However, the method by which economic development and environmental protection are balanced is also important. The resampling data envelopment analysis approach is rarely used because it affects desirable and undesirable output. The current study uses the approach of resampling superslacks-based measurement data envelopment analysis, and then, regression analysis and principal component analysis are used in combination to evaluate global energy and environmental efficiency. Our findings show that gross domestic product and CO2 emissions have a high slope value with other variables and share a significant relationship, and they also confirm that energy use is indeed closely related to economic development and environmental pollution. The results show that the input and output variables are highly correlated and in line with statistical norms. The energy and environmental efficiency of the Americas and the Middle East are better than those of Europe, Africa, and Asia, indicating that regional influences exist. Some countries must reduce energy consumption, exhibit innovation management of energy production technology, implement green energy strategies, and reduce CO2 emissions in order to gain the opportunity to improve their efficiency.(c) 2021 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |