Work

The Influence of Social Assistance and Demographic Factors on Income and Consumption of Poor Households during the Covid-19 Pandemic in the Coastal Area of South Sulawesi

Year: 2024
Type: book-chapter
Study design: Observational Study
Abstract: The problem of poverty during the COVID-19 pandemic has become increasingly complex, making it a threat to achieving the SDGs by 2030.For the problem of poverty, a poverty alleviation strategy is needed by combining macro and micro household variables.The provision of social assistance during the COVID-19 pandemic and demographic factors such as education level, age, household size, and work experience are determining factors in increasing household income and consumption, contributing to reducing poverty.This study aims to analyse the influence of social assistance and demographic factors on household consumption both directly and indirectly through household income using the path analysis regression equation.This study uses primary data from in-depth interviews with heads of poor households in the coastal areas of Makassar City and Pangkep Regency.The sampling method was carried out in stages by selecting two sub-districts per each district/city.Then, each sub-district was assigned two villages/sub-districts, which had relatively large numbers of poor households, and the dominant source of livelihood was fisheries and marine products.The sample of poor households was determined randomly, with 80 respondents.This study found that social assistance, work experience, and household size influence consumption directly and indirectly through increasing income so that it can be used as a household poverty alleviation strategy, especially in coastal areas during and after the COVID-19 pandemic.Even though education level and age have no effect on household consumption in the sample area, along with technological developments, education remains an important variable as a determinant of reducing poverty in the future through increasing household income and consumption in general.
Language: English
Open Access status: hybrid
OpenAlex ID: W4398174286
FWCI: 3.083
Cites: 16
Cited by: 1
Related to: 10