Applying The Dynamic Network DEA Model to Evaluate The Chinese Regional Sustainable Performance

Abstract

The purpose of this paper is to investigate the regional sustainable development performance of 30 provinces in China from 2012 to 2017, based on a dynamic network slacks-based measure (DNSBM) approach. We construct an evaluation framework with a dynamic two-stage model with serial connection. The major difference between this paper and previous literatures is the assumption of installed capacity, defined as a carry-over linking between two consecutive terms. The empirical result of the average regional sustainable development performance is 0.3487 for 2012-2017, due to lower average performance in the electricity portfolio stage than that in the energy productivity stage. The results from the model suggests that the provincial and central government should be put more efforts in the electricity portfolio, such as raising the zero-carbon capacity, to mitigate CO2 emission.