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基于多元回归模型的山西省社会保障水平影响因素研究
Study on the Influence Factors of Social Security in Shanxi Province Based on the Multiple Rgression Model

DOI: 10.12677/AAM.2020.912249, PP. 2145-2152

Keywords: 社会保障水平,因子分析,多元回归
Social Security Level
, Factor Analysis, Multiple Regression

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Abstract:

社会保障制度是伴随生产社会化和市场经济的形成建立起来的,它对发展经济、稳定社会具有重要作用。分析社会保障水平现状及影响因素,对于社会保障制度的发展完善具有重要意义。以山西省为例,选取12个与社会保障水平相关的指标,通过因子分析,构建评价体系,最终得到一项综合指数用来衡量社会保障水平,然后搜集山西省2000~2016年的宏观指标作为样本数据,运用计量经济学理论,建立了相关的多元线性回归模型,分析影响山西省社会保障水平的重要因素。研究结果表明:失业率、财政社会保障支出对社会保障水平的影响较为显著。最后,围绕山西省社会保障水平存在的问题提出建议,主要有:从长期来看,要推进经济发展,提高社会保障水平;现阶段要扩大社会保障基金来源,优化支出结构。
Social security system is established along with the socialization of production and the formation of market economy. It plays an important role in developing economy and stabilizing society. It is of great significance for the development and improvement of social security system to analyze the current situation and influencing factors of social security level. In Shanxi Province as an example, this paper chooses 12 indexes of related to the level of social security, through factor analysis, builds the evaluation system, finally gets a comprehensive index to measure the level of social security, and then collects in Shanxi Province in 2000-2016 macro index as sample data, uses the econometric theory and the establishment of a related multivariate linear regression model, and analyzes the important factors that affect the level of social security in Shanxi Province. The results show that the unemployment rate and financial social security expenditure have a significant impact on the social security level. Finally, the author puts forward some suggestions on the existing problems of social security in Shanxi Province. At present, we should expand the sources of social security funds and optimize the spending structure.

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