Static and dynamic energy structure analysis in the world for resource optimization using total factor productivity method based on slacks-based measure integrating data envelopment analysis

With the continuous accumulation of global greenhouse effect and the increasingly serious global warming problem, decreasing carbon dioxide emission and improving the energy utilization efficiency are important factors to solve global environmental problems. Therefore, a novel static and dynamic energy structure analysis method using the total factor productivity method based on slacks-based measure integrating data envelopment analysis is put forward to better assess energy structures of 24 countries for 2008-2018. The Oil, natural gas, coal, nuclear energy, hydro-electricity and renewable energy are set as inputs, and gross domestic product per capita value and carbon dioxide emission are respectively set as the desirable output and the undesirable output to establish the static energy structure models of 24 countries in the world through the slacks-based measure integrating data envelopment analysis. The consequences demonstrate that the efficiency of developed countries in European are generally better than the world average level, while the efficiency of developing countries in Asian are lowest. Meanwhile, the energy efficiency of inefficiency countries can be improved and carbon dioxide can be reduced by means of slack variables analysis. Then the dynamic total factor productivity analysis of world energy structures is obtained by the Malmquist method. The dynamic total factor productivity change index from 2008 to 2018 can provide a more long-term development plan for the national energy structure in the world, which can optimize the resource to improve energy efficiency and reduce carbon dioxide of 24 countries.

Automated summary

This study introduces a novel static and dynamic energy structure analysis method, which evaluates the energy structures of 24 countries by integrating data envelopment analysis. The results show that the energy efficiency of developed countries in the world is generally higher than that of developing countries, and through slack variable analysis, the energy efficiency of inefficient countries can be improved and carbon dioxide emissions can be reduced.