Author(s)

Zeng Jiang ¹

Affiliation(s)

¹ Hunan University of Science and Engineering, Yongzhou, 425199, China

Corresponding Author

Zeng Jiang

ABSTRACT

In the next few decades, China's old-age security system will face the greatest challenge, in order to solve the problem of residents "old age", and in order to reduce the risk of old-age due to population aging, China has successively built urban social old-age insurance and a new rural social old-age insurance system, and in 2014 it was merged into a unified urban and rural residents basic endowment insurance system, which makes China's social security system cover all groups. After more than 8 years of practice, it is of great significance to evaluate the operation efficiency of the basic endowment insurance system for urban and rural residents in China. On this basis, 31 provinces, municipalities and autonomous regions were selected as samples, and the two-stage network data envelopment analysis method was used to calculate the operation efficiency of China's basic endowment insurance system for urban and rural residents from 2014 to 2021, and the DEA-Malmquist index method was used to dynamically analyze the total factor productivity. The results show that: (1) the overall efficiency value of the financing stage and operation stage of the basic endowment insurance system for urban and rural residents in China is basically stable. (2) In the financing stage and operation stage, the average total factor productivity of China's basic endowment insurance system for urban and rural residents from 2014 to 2021 was 1.033, indicating that the increase in total factor productivity was 3.3%, and (3) the technological progress index and pure technological efficiency in various time periods from 2014 to 2021 had a significant impact on the operation efficiency of China's basic endowment insurance system for urban and rural residents.

KEYWORDS

Urban housing insurance system, two-stage network DEA, DEA-Malmquist index, Efficiency measures

CITE THIS PAPER

Zeng Jiang, 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. Social Security and Administration Management (2023) Vol. 4: 41-53. DOI: http://dx.doi.org/10.23977/socsam.2023.040607.

REFERENCES

[1] Diamond P A. (1965) National debt in a neoclassical growth model. American Economic Review, 55 (5): 1126-1150.
[2] Mercedes A, Luis F. (2012) The Role of Fees in Pension Fund Performance——Evidence from Spain. Journal of Economics and Finance, 62 (6): 518-535.
[3] Samuelson P A. (1954) The Pure Theory of Public Expenditure. Review of Economics & Statistic, 36 (36): 1-29.
[4] Samuelson P A. (1958) An exact consumption-loan model of interest with or without the social contrivance of money. Journal of Political Economy, 66 (6): 467-482.
[5] Wanke P, Barros C P. (2016) Efficiency drivers in Brazilian insurance: a two-stage DEA Meta frontier-data mining approach. Economic Modelling, 53 (1): 8-22.
[6] Li Tao. (2018) Evaluation of the Operational Efficiency of the Basic Pension Insurance System for Urban and Rural 
Residents. Changsha: Hunan Agricultural University.
[7] Ma Haichao, Wang Chunchao, Li Haomin. (2017) Research on the Efficiency of China's Basic Pension Insurance Based on the Malmquist Model. Modern Management Science, (10): 66-68. 
[8] Qiang Guomin, Ding Jianding. (2020) Research on Regional Differences and Influencing Factors of China's Pension Insurance Efficiency: A Comparative Perspective between Occupational and Residential Insurance. Journal of Jiangxi University of Finance and Economics, (01): 62-70.
[9] Wei Yanyan. (2019) Evaluation of the Operational Efficiency of the Provincial Basic Pension Insurance Fund for Urban and Rural Residents in China. Guangxi Quality Supervision and Information, (07): 69-70+50.
[10] Yu Ning. (2017) Performance Evaluation of China's Basic Pension Insurance Fund Expenditure: 2003-2015 - Empirical Study and Policy Simulation. Social Sciences, (02): 80-92.

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