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The Impact of the Non-Cash Food Assistance (BPNT) Program on Household Welfare in Indonesia Meriska Suwatri; Hefrizal Handra; Efa Yonnedi
JOURNAL OF MANAGEMENT, ACCOUNTING, GENERAL FINANCE AND INTERNATIONAL ECONOMIC ISSUES Vol. 4 No. 1 (2024): DECEMBER
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/marginal.v4i1.1537

Abstract

One of the government’s steps to address poverty through food security is the launch of the Non-Cash Food Assistance (BPNT) program. This study evaluates the impact of the Non-Cash Food Assistance (BPNT) program on household welfare in Indonesia. Utilizing logistic regression analysis and data from the 2017 National Socio-Economic Survey, the research reveals that participation in the BPNT program has a significant negative effect on household welfare. Recipients of BPNT are 8.366% less likely to achieve prosperity compared to non-recipients. This outcome underscores the need to address additional factors influencing welfare, such as education, employment opportunities, and access to social services. While the BPNT program effectively provides food assistance, its design and implementation require improvements to better support recipients in overcoming economic challenges. Enhancing the program's scope and efficiency is essential for achieving its objective of sustainable poverty alleviation and improving welfare outcomes for vulnerable households in Indonesia.
Dynamics of Intergenerational Poverty Transfer: The Impact of Poverty Levels, Education Levels, and Minimum Wages in West Sumatra Meriska Suwatri; Nasri Bachtiar
CURRENT ADVANCED RESEARCH ON SHARIA FINANCE AND ECONOMIC WORLDWIDE Vol. 4 No. 1 (2024): OCTOBER
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/cashflow.v4i1.1539

Abstract

Intergenerational poverty is a complex issue involving various factors, including education, unemployment, and minimum wages.  This study analyzes the impact of education levels, unemployment rates, and minimum wages on poverty rates in West Sumatra using multiple linear regression models. Secondary data from the Central Statistics Agency (BPS) and the Ministry of Finance during the period of 2021-2023 were used to analyze 19 districts/cities in West Sumatra. The results indicate that education levels and minimum wages significantly affect the reduction of poverty rates, while unemployment rates contribute positively to increasing poverty. This study provides policy recommendations to enhance the quality of education and adjust minimum wages to break the intergenerational poverty cycle in the region.