Investigation and Identification of Factors Affecting the Rural Population’s Tendency to Social Insurance Funds

  • Karamollah Javanmard
  • Behzad Reshno
  • Javad Eslami

Abstract

The present study was conducted using a survey method and cross-sectional sampling method with a sample size of 248 people in 6 villages among the households of the villagers in the city of Selsele in Lorestan Province. In this research, Pearson correlation test was used to test hypotheses and regression analysis in SPSS software. The study results show that there was a significant relationship between social status and tendency toward social insurance, indicating a positive but weak relationship. The results show that the Pearson correlation coefficient is approximately 0.159. This value represents a direct and significant correlation between these two variables. The second hypothesis refers to the relationship between foresight and tendency to social insurance. The Pearson correlation coefficient for these two variables was estimated to be around 0.508. The third hypothesis of the relationship and the effect of the variable of trust and tendency to social insurance were examined. The correlation coefficient for estimating the relationship between these two variables was estimated at 0.636. This demonstrated a direct and positive relationship between these two variables. The fourth hypothesis stated that there was a significant relationship between the quality of social insurance services and the tendency toward social insurance. The correlation coefficient for estimating the relationship between these two variables was estimated to be around 0.599. The fifth hypothesis stated that there was a significant relationship between the level of knowledge and the tendency toward social insurance. The correlation coefficient for estimating the relationship between these two variables was estimated at 0.549.

Published
2019-09-28
How to Cite
Javanmard, K., Reshno, B., & Eslami, J. (2019). Investigation and Identification of Factors Affecting the Rural Population’s Tendency to Social Insurance Funds. International Journal of Advanced Science and Technology, 28(1), 288 - 293. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/390
Section
Articles