E-ISSN : 2288-2766
The purpose of this study is to measure the efficiency of social security expenditure in 31 provinces, cities and autonomous regions in China and proposes corresponding improvement plans. The data were obtained from the statistical yearbook of each province. DEA model and Malmquist index were used for efficiency analysis, and the original input-output index was extended. The results show that the social security performance of the Chinese government has improved on the whole despite the unbalanced development in different regions. The study suggests that provinces affected by TCI should improve their internal environment, such as raising social security fund structure and strengthening fund supervision, to improve efficiency. Areas affected by TECI need to be more responsive to policy, socio-economic and technological development. The research conclusion can provide reference for Chinese provinces to improve the efficiency of social security expenditure in the future.
Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science. 2(4), 34-44
Charnes, A., Cooper, W. W. & Rhodes, E. (1978). Measuring the efficiency of decision making units. European journal of operational research, 2(6), 429-444.
Chen, G., & Wang, C. C. (2014). Research on the relationship between local fiscal expenditure and economic growth in china -- A linear hybrid model analysis based on inter-provincial data from 1990 to 2012. Financial Research, 6(8), 42-45.
He, X. Z. (2015). Influencing factors and policy optimization paths of china's social security level. (Doctoral dissertation, Nanjing University)
Huang, W. Z., & Li, H. (2018). Measurement and comparison of social security expenditure efficiency in the central region under the new situation -- An empirical study based on two-stage dea model. Journal of public administration, 18(7), 111-115.
Yan, H. S., Kim, H. H., & Yang, J. W. (2020). Efficiency analysis of Chinese blockchain concept stock listed companies. International Journal of Advanced Smart Convergence, 9(3), 17-27.
Li, C. J., Jeon, J. W., & Kim, H. H. (2020). An efficiency analysis of fishery output in coastal areas of china. International Journal of Advanced Smart Convergence, 9(3), 127-136.
Li, S. H., & Xiong, C. (2016). Fiscal social security expenditure: Differences between urban and rural efficiency and its causes. Journal of Public Administration, 12(3), 135-146.
Liang, C. C., & Zhang, S. J. (2019). Efficiency of social security expenditure, corruption and economic growth - An empirical study based on provincial data of china. Hubei Social Sciences, 11(1), 78-85.
Luo, L.Q., & Chai, S. J. (2010). Empirical research on the evaluation of government social security performance based on cca-dea model. Statistics and Information Forum, 12(3), 33-39.
Peng, H. X. (2016). Fiscal decentralization and regional social security service performance -- Empirical analysis based on spatial measurement. Journal of Central University of Finance and Economics, 3(8), 25-33.
Qi, L., Chung, G. Y., & Kim, H. H. (2020). Analysis on logistics efficiency of china's agricultural products cold chain from the green perspective. International Journal of Advanced Culture Technology, 8(2), 192-203.
Wang, X., & Wang, J. (2014). Research on total factor productivity of china's social security. Journal of Xi’an Jiaotong University (Social Science edition), 15(1), 70-76.
Zhang, Q. (2017). Expenditure efficiency and economic Growth -- An empirical study based on 252 urban panel data. Statistics and information forum, 32(2), 40-46.
Zheng, F. H., & Ding, X. C. (2017). Evaluation of input-output efficiency of basic social security in anhui province based on DEA. Journal of Anhui University of Administration, 8(38), 96-102.
Zhu, J. (2016). Local government financial social security expenditure efficiency analysis - Based on panel data of 26 provinces (municipalities and autonomous regions) in china from 2007 to 2013. (Master's dissertation, Hebei University)