FINANCIAL STATUS OF THE RURAL ELDERLY WOMEN IN MAHARASHTRA DURING POST-COVID-19

Maharashtra-a state deeply affected by the COVID-19 pandemic-mirrors these challenges. With an estimated population of 125 million, 11.7% of whom are elderly (a figure projected to reach 15% by 2031), the state has been one of Indias hardest hit by COVID-19, reporting millions of confirmed cases and substantial fatalities. The pandemic has further exacerbated mental health struggles, social isolation, and economic instability among the elderly, intensifying existing inequities and barriers to financial security. This study focuses on the rural elderly women of Maharashtra, examining the interplay between socio-demographic factors (age, caste, education), economic indicators (family income, personal income, pensions, employment), and participation in self-help groups. Drawing on a cross-sectional survey of 9,253 respondents, it investigates how age caste hierarchies and educational attainment influence family support, income levels, and employment. The analysis reveals significant associations between caste and financial support, age and reduced economic engagement, and education and enhanced earning capacity. Key findings indicate that while generally common, family support diminishes with advanced age and varies significantly by caste and education. Employment opportunities are also tied to caste and education, with marginalized groups frequently trapped in low-income brackets. Notably, higher educational attainment correlates with improved income levels and a greater likelihood of self-help group participation-both critical levers for enhancing financial security and autonomy. Integrating these insights, the article highlights the urgent need for nuanced, multi-dimensional policy responses. Recommendations include expanding pension coverage, bolstering self-help group initiatives, tailoring interventions for marginalized castes, investing in adult education and vocational training, and designing age-sensitive work opportunities. By acknowledging the socio-psychological dimensions shaped by the post-COVID context-such as social isolation and mental health concerns-these interventions can help create a more equitable and supportive environment for elderly women in rural Maharashtra, ensuring that the states demographic future does not come at the cost of its most vulnerable citizens.

Authors

Publication Details

Journal
International Journal of Advanced Research
Published
2025-02-28
DOI
https://doi.org/10.21474/ijar01/20451
Primary Topic
COVID-19 Pandemic Impacts
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

FINANCIAL STATUS OF THE RURAL ELDERLY WOMEN IN MAHARASHTRA DURING POST-COVID-19

Ravi V. Shah, Meena Shah, Blessing Temitope Lawani, Vinod K. Shah et al.
International Journal of Advanced Research
COVID-19 Pandemic Impacts
article

FINANCIAL STATUS OF THE RURAL ELDERLY WOMEN IN MAHARASHTRA DURING POST-COVID-19

Ravi V. Shah, Meena Shah, Blessing Temitope Lawani, Vinod K. Shah, Subhash Salunke
article en

Abstract

Maharashtra-a state deeply affected by the COVID-19 pandemic-mirrors these challenges. With an estimated population of 125 million, 11.7% of whom are elderly (a figure projected to reach 15% by 2031), the state has been one of Indias hardest hit by COVID-19, reporting millions of confirmed cases and substantial fatalities. The pandemic has further exacerbated mental health struggles, social isolation, and economic instability among the elderly, intensifying existing inequities and barriers to financial security. This study focuses on the rural elderly women of Maharashtra, examining the interplay between socio-demographic factors (age, caste, education), economic indicators (family income, personal income, pensions, employment), and participation in self-help groups. Drawing on a cross-sectional survey of 9,253 respondents, it investigates how age caste hierarchies and educational attainment influence family support, income levels, and employment. The analysis reveals significant associations between caste and financial support, age and reduced economic engagement, and education and enhanced earning capacity. Key findings indicate that while generally common, family support diminishes with advanced age and varies significantly by caste and education. Employment opportunities are also tied to caste and education, with marginalized groups frequently trapped in low-income brackets. Notably, higher educational attainment correlates with improved income levels and a greater likelihood of self-help group participation-both critical levers for enhancing financial security and autonomy. Integrating these insights, the article highlights the urgent need for nuanced, multi-dimensional policy responses. Recommendations include expanding pension coverage, bolstering self-help group initiatives, tailoring interventions for marginalized castes, investing in adult education and vocational training, and designing age-sensitive work opportunities. By acknowledging the socio-psychological dimensions shaped by the post-COVID context-such as social isolation and mental health concerns-these interventions can help create a more equitable and supportive environment for elderly women in rural Maharashtra, ensuring that the states demographic future does not come at the cost of its most vulnerable citizens.

International Journal of Advanced ResearchVol. 13(02)
Openalex Percentile: Top 92%
COVID-19 Pandemic Impacts
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.