authors
Subrata Chakraborty and Shantanu Chakraborty

abstract
This study explores the influence of demographic variables on the acceptance of pension plans among urban and semi-urban populations in South Bengal. Using a three-stage cluster sampling technique, primary data are collected from 399 respondents and analyzed via chi-square tests, Fisher’s Exact Test, and Cramer’s V effect size metrics. Results reveal significant associations between pension plan acceptance and age (Cramer’s V = 0.19, p<0.01), employment status (Cramer’s V = 0.20, p<0.001), individual income (Cramer’s V = 0.32, p<0.001), family income (Cramer’s V = 0.23, p<0.01), and work experience (Cramer’s V = 0.27, p<0.001). Education shows a borderline association (Cramer’s V = 0.11, p = 0.073). Gender, caste, marital status, working sector, and family size are non-significant. The study highlights the need for age-specific financial literacy programs, tiered pension schemes for low-income groups, and employer-mandated enrollment in formal sectors. Limitations include urban bias and reliance on non-probability sampling; future research should incorporate rural populations and qualitative insights.