Presenting a Comparative Model and Financial Ranking of Petrochemical Companies Using Dynamic Network Data Envelopment Analysis (DNDEA)

The aim of this study is to provide a comparative model and financial ranking of petrochemical companies using dynamic network data envelopment analysis (DNDEA) approach by CCR and AP methods. occurred. In the first step, a relational model including major profit sheet, balance sheet and financial soundness indicators is presented under a dynamic network structure. Then, the dynamic effect of indicators (carriers and relationships) is included to calculate the efficiency scores for these four infrastructures correctly. Then we calculated using the two models and the results were extracted. This research is applied in terms of purpose and its statistical population is petrochemical companies listed on the Tehran Stock Exchange. Based on the research findings, according to the research criteria, efficiency was calculated. Out of 18 petrochemical companies studied, two companies were identified in the CCR method and one company in the AP method as moderately efficient. However, the results show a strong correlation of 71% between the two methods.