A new method of sensitivity analysis of returns to scale in two-stage network; A case study of the insurance industry in Iran.

Advances in Mathematical Finance and Applications

مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 07 شهریور 1401   

نوع مقاله: Research Paper

شناسه دیجیتال (DOI): 10.22034/amfa.2022.1946180.1658

نویسندگان

Maryam Sarparast¹؛ Farhad Hosseinzadeh Lotfi^{* 1}؛ Alireza Amirteimoori²؛ Mohsen Rostamy-Malkhalifeh¹

¹Department of Mathematics, Science and Research Branch, Islamic Azad University, Iran.

²Department of Mathematics, Rasht Branch, Islamic Azad University, Iran.

چکیده

One important issue in data envelopment analysis (DEA) which has been studied by many re-searchers is returns to scale (RTS). The authors developed DEA models to evaluate the efficiency of two-stage net-works in returns to scale variable and introduced a new definition to determine return to scale classification in two-stage networks. The cur-rent article proposed an approach for determining the stability region of returns to scale classification in two-stage network DEA. The data were collected from insurance companies in Iran in 2019. We consider the insurance industry process as a two-stage network; the stage of marketing and that of investment. The effectiveness of insurance com-panies was evaluated, and, after determining the classification of re-turns to scale, we found a sustainability interval to classify returns to their scale.

کلیدواژه‌ها

two-stage networks؛ sensitivity analysis؛ returns to scale؛ DEA؛ insurance industry