Analysis of the Determinants of Eldery Proverty in Indonesia in 2022
DOI:
https://doi.org/10.32734/jormtt.v4i2.16916Keywords:
Demographic bonus, ageing population, elderly poverty, education, social securityAbstract
Indonesia is entering a period of demographic bonus with the lowest projected
dependency ratio in 2030. This bonus is expected to accelerate the development
of various sectors. However, the increase in the number of elderly people, which
reached 9.78% in 2020, signifies the potential of the ageing population era.
Special handling is needed to avoid negative impacts on development and the
risk of elderly poverty. This study uses a survey of 300 elderly people and binary
logistic regression analysis to evaluate the factors that influence elderly
poverty. The results showed that education, working status, area of residence,
marital status, and social security had a significant effect, while functional
impairment did not. Recommendations include improving access to education
and equitable distribution of elderly social security programmes across
Indonesia.
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