Operational efficiency evaluation of Urban and rural residents’ basic pension insurance system based on the triangular fuzzy neutrosophic GRA method

Abstract

At present, the basic pension insurance system for urban and rural residents in China has played a positive role in guaranteeing the basic life of the elderly in urban and rural areas. At present, the basic pension insurance system for urban and rural residents is not perfect, and there is still a great lag in the formulation of cross-system and cross-regional policies. There are differences in treatment between groups, between regions and between urban and rural areas. The coverage is not comprehensive enough and there are still some people who are not included in the basic protection system, etc. People urgently need a social pension insurance system that can provide reliable and sustainable protection in their old age. The operational efficiency evaluation of urban and rural residents’ basic pension insurance systems is viewed as the multi-attribute decision-making (MADM). In this paper, the triangular fuzzy neutrosophic numbers grey relational analysis (TFNN-GRA) method is built based on the traditional grey relational analysis (GRA) and triangular fuzzy neutrosophic sets (TFNSs). Finally, a numerical example for operational efficiency evaluation of urban and rural residents’ basic pension insurance systems has been given and some comparisons are used to illustrate advantages of 2TLNN-GRA method.

Measurement of the Operation Efficiency of the Basic Endowment Insurance System for Urban and Rural Residents in China: Based on the Two-Stage Network DEA Model

“…Wanke and Barros (2016) used a two-stage DEA model to measure the operational efficiency of Brazil's pension insurance system and found that the heterogeneity of insurance companies has a certain impact on their operational efficiency [5]. Li Tao (2018) conducted an empirical study using a three-stage panel DEA model for the urban and rural basic pension insurance systems in 31 provinces (autonomous regions, municipalities) in China from 2012 to 2016. The study analyzed the effects of variables such as GDP growth rate, urbanization level, and elderly dependency ratio on the urban and rural basic pension insurance systems in China [6].…”

“…Li Tao (2018) conducted an empirical study using a three-stage panel DEA model for the urban and rural basic pension insurance systems in 31 provinces (autonomous regions, municipalities) in China from 2012 to 2016. The study analyzed the effects of variables such as GDP growth rate, urbanization level, and elderly dependency ratio on the urban and rural basic pension insurance systems in China [6]. Ma Haichao (2017) empirically studied the operation of pension security systems in different regions of China using the Malmquist model [7].…”