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Abstract

Stunting is a significant issue for nations, affecting both public health and economic development. It results from a combination of direct and indirect causes. The government addresses stunting through specific nutritional interventions targeting direct causes and sensitive nutritional interventions for indirect causes. Given the strong link between stunting and poverty, social assistance programs (BANSOS) such as the Family Hope Program (PKH) and Rice for the Poor (RASKIN) are crucial in combating stunting by improving socioeconomic conditions. This study analyzes the impact of these social assistance programs on stunting in children under five, using data from the 2007 and 2014 Indonesian Family Life Surveys (IFLS) and focusing on children aged 12-59 months. A logit model is employed to estimate the relationship between social assistance and stunting. Additionally, the study uses a combination of Propensity Score Matching (PSM) and Difference-in-Differences (DID) to evaluate the effects of these programs, ensuring comparability between groups by matching characteristics of recipients and non-recipients. The results of the PSM-DID analysis indicate that social assistance programs increase the likelihood of stunting by 4.8% (99% CI). These findings suggest that improvements in program design are necessary to ensure income effect effectively drive behavioral changes that help reduce stunting.

References

Agresti, A., 2007. Building and Applying Logistic Regression Models, in: An Introduction to Categorical Data Analysis. John Wiley & Sons, Ltd, pp. 137–172. https://doi.org/10.1002/9780470114759.ch5

Beyer, J.D., Lovelace, C., Yürekli, A., 2001. Poverty and tobacco.

Bhowmik, K.R., Das, S., 2019. On selection of an appropriate logistic model to determine the risk factors of childhood stunting in Bangladesh. Maternal and Child Nutrition 15. https://doi.org/10.1111/mcn.12636

Cahyadi, N., Hanna, R., Kennedy, H., Olken, B.A., Prima, A., Satriawan, E., 2018. CUMULATIVE IMPACTS OF CONDITIONAL CASH TRANSFER PROGRAMS: EXPERIMENTAL EVIDENCE FROM INDONESIA.

Dartanto, T., Moeis, F.R., Can, C.K., Ratih, S.P., Nurhasana, R., Satrya, A., Thabrany, H., 2021. Good intentions, unintended outcomes: Impact of social assistance on tobacco consumption in Indonesia. Tobacco Induced Diseases 19. https://doi.org/10.18332/TID/132966

Das, S., Rahman, R.M., 2011. Application of ordinal logistic regression analysis in determining risk factors of child malnutrition in Bangladesh. Nutrition Journal 10, 124. https://doi.org/10.1186/1475-2891-10-124

Ernawati, F., Syauqy, A., Arifin, A.Y., Soekatri, M.Y.E., Sandjaja, S., 2021. Micronutrient Deficiencies and Stunting Were Associated with Socioeconomic Status in Indonesian Children Aged 6-59 Months. Nutrients 13, 1802. https://doi.org/10.3390/nu13061802

Gertler, P.J., Martinez, S., Premand, P., Rawlings, L.B., Vermeersch, C.M.J., 2016. Impact Evaluation in Practice.

Gupta, P., Huang, B., 1998. ADBI Working Paper Series IN-KIND TRANSFER AND CHILD DEVELOPMENT: EVIDENCE FROM SUBSIDIZED RICE PROGRAM IN INDONESIA Asian Development Bank Institute.

Hadna, A.H., Zulaela, Ardiansyah, J., Habib, F., 2022. Stand-Alone Conditional Cash Transfer in Regards to Reducing Stunting in Indonesia: Evidence From a Randomized Controlled Trial. Journal of Population and Social Studies 31, 435–454. https://doi.org/10.25133/JPSSV312023.025

Harris, H., Horst, S.J., 2016. A Brief Guide to Decisions at Each Step of the Propensity Score Matching Process. Practical Assessment, Research, and Evaluation 21. https://doi.org/10.7275/yq7r-4820

Jef. L. Leroy, 2009. Full article: The impact of conditional cash transfer programmes on child nutrition: a review of evidence using a programme theory framework [WWW Document]. URL https://www.tandfonline.com/doi/full/10.1080/19439340902924043 (accessed 9.5.24).

Jensen, R.T., Miller, N.H., 2011. Do consumer price subsidies really improve nutrition? Review of Economics and Statistics 93, 1205–1223. https://doi.org/10.1162/REST_a_00118

Jishnu Das, Berk Özler, 2005. Reassessing Conditional Cash Transfer Programs | The World Bank Research Observer | Oxford Academic [WWW Document]. URL https://academic.oup.com/wbro/article-abstract/20/1/57/1667813?redirectedFrom=fulltext (accessed 9.5.24).

Kaushal, N., & Muchomba, F. M. (2015). How Consumer Price Subsidies affect Nutrition. World Development, 74, 25–42. https://doi.org/10.1016/j.worlddev.2015.04.006

Kemenkes, 2022. BUKU SAKU Hasil Survei Status Gizi Indonesia (SSGI) 2022.

Kemensos, 2012. Pedoman Umum PKH.

Khandker, S.R., Koolwal, G.B., Samad, H.A., 2010. Handbook on Impact Evaluation.

Li, H., Graham, D.J., Majumdar, A., 2012. The effects of congestion charging on road traffic casualties: A causal analysis using difference-in-difference estimation. Accident Analysis and Prevention 49, 366–377. https://doi.org/10.1016/j.aap.2012.02.013

Ohyver, M., Moniaga, J.V., Yunidwi, K.R., Setiawan, M.I., 2017. Logistic Regression and Growth Charts to Determine Children Nutritional and Stunting Status: A Review. Procedia Computer Science, Discovery and innovation of computer science technology in artificial intelligence era: The 2nd International Conference on Computer Science and Computational Intelligence (ICCSCI 2017) 116, 232–241. https://doi.org/10.1016/j.procs.2017.10.045

Olney, D.K., Leroy, J., Bliznashka, L., Ruel, M.T., 2018. PROCOMIDA, a food-assisted maternal and child health and nutrition program, reduces child stunting in Guatemala: A cluster-randomized controlled intervention trial. Journal of Nutrition 148, 1493–1505. https://doi.org/10.1093/jn/nxy138

Onis, M.D., Dewey, K.G., Borghi, E., Onyango, A.W., Blössner, M., Daelmans, B., Piwoz, E., Branca, F., 2013. The world health organization’s global target for reducing childhood stunting by 2025: Rationale and proposed actions. Maternal and Child Nutrition 9, 6–26. https://doi.org/10.1111/mcn.12075

Pischke, J.S., 2005. Empirical Methods in Applied Economics Lecture Notes.

Ruel, M.T., Alderman, H., Maternal and Child Nutrition Study Group, 2013. Nutrition-sensitive interventions and programmes: how can they help to accelerate progress in improving maternal and child nutrition? Lancet 382, 536–551. https://doi.org/10.1016/S0140-6736(13)60843-0

Ryan, A.M., Burgess, J.F., Dimick, J.B., 2015. Why we should not be indifferent to specification choices for difference-in-differences. Health Services Research 50, 1211–1235. https://doi.org/10.1111/1475-6773.12270

Saavedra, J. M., & Dattilo, A. M. (2022). Nutrition in the first 1000 days of life: Society’s greatest opportunity. In Early Nutrition and Long-Term Health: Mechanisms, Consequences, and Opportunities, Second Edition (pp. 3–25). Elsevier. https://doi.org/10.1016/B978-0-12-824389-3.00023-4

Semba, R.D., BS, A.A.C., Sun, K.M., Pee, S. de, Akhter, N.M., Moench-Pfanner, R., Rah, J.H., Badham, J., Kraemer, K., Bloem, M.W., 2011. Paternal smoking is associated with greater food insecurity among poor families in rural Indonesia, 618 Asia Pac J Clin Nutr.

Stewart, C.P., Iannotti, L., Dewey, K.G., Michaelsen, K.F., Onyango, A.W., 2013. Contextualising complementary feeding in a broader framework for stunting prevention. Maternal and Child Nutrition 9, 27–45. https://doi.org/10.1111/mcn.12088

Tiwari, R., Ausman, L.M., Agho, K.E., 2014. Determinants of stunting and severe stunting among under-fives: Evidence from the 2011 Nepal Demographic and Health Survey. BMC Pediatrics 14. https://doi.org/10.1186/1471-2431-14-239

Torlesse, H., Cronin, A.A., Sebayang, S.K., Nandy, R., 2016. Determinants of stunting in Indonesian children: Evidence from a cross-sectional survey indicate a prominent role for the water, sanitation and hygiene sector in stunting reduction. BMC Public Health 16. https://doi.org/10.1186/s12889-016-3339-8

TP2AK. (2021). Dashboard | TP2AK – Dashboard Pemantauan Terpadu Percepatan Pencegahan Stunting. https://dashboard.stunting.go.id/

WHO, 2008. Training Course on Child Growth Assessment WHO Child Growth Standards.

Widiyaningsih, E.N., Wahyuningtyas, A.P., 2017. Protein, Magnesium and Phosphorous Intake at Stunted and Non-Stunted Children in Panularan Surakarta.

Bahasa Abstract

Stunting adalah permasalahan besar bagi negara karena berdampak pada kesehatan bangsa hingga kemampuan ekonomi negara. Stunting disebabkan oleh faktor langsung dan tidak langsung. Pemerintah melakukan intervensi gizi spesifik untuk mengatasi penyebab langsung dari stunting dan intervensi gizi sensitif untuk mengatasi penyebab tidak langsung stunting. Stunting adalah masalah yang erat kaitannya dengan kemiskinan maka pemerintah berupaya mengatasi stunting melalui melalui program bantuan sosial (BANSOS) yang terdiri dari Program Keluarga Harapan (PKH) dan Beras untuk Keluarga Miskin (RASKIN). Penelitian ini menganalisis dampak program BANSOS sebagai intervensi gizi sensitif terhadap status stunting pada balita dengan menggunakan data sampel yang diambil dari Indonesian Family Live Surveys (IFLS) tahun 2007 dan 2014 dengan sampel balita umur 12-59 bulan. Model logit digunakan untuk mengestimasi hubungan antara program BANSOS dan faktor lain yang berhubungan dengan stunting. Metode kombinasi Propensity Score Matching (PSM) dan Difference-in-Differences (DID) digunakan untuk mengevaluasi dampak program bantuan sosial terhadap status stunting pada anak. Kombinasi ini dilakukan untuk memenuhi parallel trend assumption dengan cara mencocokkan karakteristik antara kelompok penerima dan non-penerima program BANSOS. Hasil dari PSM-DID menunjukkan bahwa program BANSOS memberikan dampak pada peningkatan probabilitas balita stunting sebesar 4,8% (99% CI). Oleh karena itu, perlu perbaikan desain program BANSOS agar income effect yang diterima melalui program BANSOS dapat mengubah perilaku masyarakat.

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