Government Agricultural Intervention and Farm Household Income

Zednita Azriani; Hasnah Hasnah; Rika Hariance; Nuraini Budi Astuti; Syahdina Sarah

doi:10.61255/jeemba.v4i4.1123

Authors

Zednita Azriani Universitas Andalas, Indonesia
Hasnah Universitas Andalas, Indonesia
Rika Hariance Universitas Andalas, Indonesia
Nuraini Budi Astuti Universitas Andalas, Indonesia
Syahdina Sarah Universitas Andalas, Indonesia

DOI:

https://doi.org/10.61255/jeemba.v4i4.1123

Keywords:

Agricultural Intervention, Farm Household Income, Agricultural Production, Rural Economy, Government Support

Abstract

Purpose – This study examines the effect of government agricultural intervention on farm household income and production across major agricultural subsectors.

Design/methodology/approach - A quantitative approach was employed using data from 247 farmers who received government assistance across seven agricultural commodity-producing districts and cities. The analysis combines descriptive statistics and t-tests to assess changes in production and household income following intervention.

Findings/Results - Government intervention increased agricultural production by approximately 7% overall. The largest increase occurred in the food crop subsector at 10%, followed by plantations at 8%, while the lowest increase was 4%. The t-test results confirm that government intervention significantly improves farm household income, with the strongest income response observed among food crop farmers.

Originality/Value - This study demonstrates that government agricultural intervention can improve both production and household income, although its effectiveness varies across subsectors. The findings highlight the importance of combining production support with farm diversification and downstream processing to strengthen the sustainability of rural household income.

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References

Badan Pusat Statistik. (2026). Distribusi persentase produk domestik bruto berdasarkan harga berlaku menurut lapangan usaha, 2024. BPS.

Food and Agriculture Organization of the United Nations. (2024). Plant production and protection. FAO

Kementerian Pertanian. (2024). Statistik ketenagakerjaan sektor pertanian, Agustus 2024. Pusat Data dan Sistem Informasi Pertanian, Kementerian Pertanian.

Feryanto, Herawati, Rifin, A., & Tinaprilla, N. (2022). Does mechanization have an impact on increasing the productivity and income of narrow-land corn farmers in Indonesia? IOP Conference Series: Earth and Environmental Science.

Hemming, D. J., Chirwa, E. W., Dorward, A., Ruffhead, H. J., Hill, R., Osborn, J., Langer, L., Harman, L., Asaoka, H., Coffey, C., & Phillips, D. (2018). Agricultural input subsidies for improving productivity, farm income, consumer welfare and wider growth in low- and lower-middle-income countries: A systematic review. Campbell Systematic Reviews, 14(1), 1–153.

Mendola, M. (2007). Agricultural technology adoption and poverty reduction: A propensity-score matching analysis for rural Bangladesh. Food Policy, 32(3), 372–393.

Nguyen, L. (2023). The effect of agricultural input subsidies on productivity: A meta-analysis. World Bank Policy Research Working Paper. World Bank.

Prasetyo, O. R., & Kadir, K. (2024). Does government assistance increase the yield of food crops in Indonesia? Jurnal Ekonomi Indonesia, 13(1), 25–41. https://doi.org/10.52813/jei.v13i1.377

Rokhani, A., Rondhi, M., Aji, J. M. M., & Kuntadi, E. B. (2021). The effect of agricultural extension access on the performance of smallholder sugarcane farmers in Indonesia. AGRARIS: Journal of Agribusiness and Rural Development Research, 7(2).

Wonde, K. M., Tsehay, A. S., & Lemma, S. E. (2022). Training at farmers training centers and its impact on crop productivity and households’ income in Ethiopia: A propensity score matching analysis. Heliyon, 8(7), e09837. https://doi.org/10.1016/j.heliyon.2022.e09837

Wordofa, M. G., Hassen, J. Y., Endris, G. S., Aweke, C. S., Moges, D. K., & Rorisa, D. T. (2021). Adoption of improved agricultural technology and its impact on household income: A propensity score matching estimation in eastern Ethiopia. Agriculture & Food Security, 10, Article 5. https://doi.org/10.1186/s40066-020-00278-2