Presenting a Malmquist productivity index based on the network data envelopment analysis in the sustainable supply chain of the electricity industry

Climate change and environmental instability have made the supply chain of the electricity industry face a serious challenge. Calculating the productivity of the three-stage sustainable supply chain of this industry during consecutive years is the main problem of this research. The method of this research is of an applied type with the aim of developing data coverage analysis models, which is quantitative in terms of variables and retrospective in terms of cross-sectional time. In this article, a new model based on data envelopment analysis is presented, which is able to combine with Malmquist's productivity index, in addition to determining the efficiency score, the productivity level in the three-stage supply chain of electricity production areas in measure the country of Iran during the years 1398 to 1400 and show the amount of progress or regression, according to which, out of 16 districts under study, 5 districts have progressed consecutively.