A theoretical method of environmental performance evaluation in the context of big data

Today, environmental issues are one of the key challenges to sustainable development of the social economy of every country in the world. How to effectively solve environmental problems and prevent further deterioration of the environment have attracted tremendous attention from scholars. In recent years, big data, that is, an enormous volume of data, have developed rapidly and widely and have brought major challenges as well as unprecedented opportunities to the world. For example, big data can be used to predict production processes more accurately. However, they make traditional environmental performance evaluation methods ineffective. Thus, studying and improving environmental efficiency evaluation under the background of big data are important to increase environmental efficiency apart from pushing forward discipline development. This study presents a set of scientific and axiomatised methods for environmental performance evaluation based on the big data environment. The findings of this study can provide references for environmental performance evaluation in the new era.