Abstract

Due to a lot of carbon dioxide (CO <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> ) emissions, global warming has cause extreme weather, which seriously affects the life of human beings, animals and plants. The CO <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> emissions come mainly from the burning of fossil energy. Therefore, a novel economy and CO <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> emissions evaluation model based on the environmental data envelopment analysis cross model (DEACM) is proposed to analyze and optimize energy structures of some countries and areas in the world. The inputs of the proposed models are renewable energy, hydroelectricity, natural gas, oil and coal. And the desired output and undesired output are per capita gross domestic product (GDP) and CO <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> emissions, respectively. The results show that compared with the traditional data envelopment analysis (DEA) model, the mutual evaluation system adopted by the DEACMs model fully considers the relationship among each DMUs, and the evaluation efficiency values are more comprehensive and practical than the traditional DEA model. The energy input structures in developed countries or areas are more reasonable, and the technology in energy efficiency consumption and CO <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> control is more advanced than those of developing countries. In addition, according to the comparison of the benchmark countries, such as New Zealand and Iran, the energy consumption structures of other ineffective countries or areas can be adjusted more rationally and their energy efficiency values can be further improved.

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