Simulating the Impact of the Free Nutritious Meal Program on Household Income Growth: A Social Accounting Matrix Approach

Authors

  • Ihsan Hidayat IPB University

DOI:

https://doi.org/10.36574/e6r5s585

Keywords:

Budget Reallocation, Economic Growth, Household Income, Free Nutritious Meal, Social Accounting Matrix

Abstract

The Free Nutritious Meal Program (MBG) is one of the flagship initiatives of the Prabowo Gibran administration, designed to stimulate the local economy. However, the program faces a major challenge due to its high fiscal cost, which forces the government to reduce spending in other sectors. This study examines the net impact of MBG on household income growth after accounting for such budget cuts. The analysis employs the 2022 Social Accounting Matrix (65×65) and evaluates eight scenarios of positive and negative injections. The results show that without budget cuts, MBG contributes to economic growth of up to 5.01%, while household income rises by 4.95 to 5.17%. When budget cuts occur, household income contracts between 0.1 and 0.6%. The simulation reveals a consistent pattern where income growth is higher when more MBG funds are allocated to Sector A. Based on these results, three recommendations are proposed. First, adjust the total MBG budget to avoid excessive reductions in other sectors. Second, prioritize allocations to Agriculture, Forestry, and Fisheries to reduce income contraction and stabilize food prices. Third, ensure transparency in MBG budget implementation to prevent corruption

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References

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Alam, S. O. (2025). Kemenkes Catat 12 Ribu Kasus Keracunan MBG di Indonesia, Terbanyak di Daerah Ini. DetikHealth. https://health.detik.com/berita-detikhealth/d-8154700/kemenkes-catat-12-ribu-kasus-keracunan-mbg-di-indonesia-terbanyak-di-daerah-ini

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Published

05-07-2026

Issue

Section

Articles

How to Cite

Simulating the Impact of the Free Nutritious Meal Program on Household Income Growth: A Social Accounting Matrix Approach. (2026). Jurnal Perencanaan Pembangunan: The Indonesian Journal of Development Planning, 10(2), 214-233. https://doi.org/10.36574/e6r5s585