The Impact of Rastra-BPNT Assistance on Household Food Expenditure Patterns and Poverty Status in Indonesia
Keywords:
Food Social Assistance, Rastra-BPNT, Food Expenditure Pattern, Poverty Status, Household Expenditure Patterns
AbstractThis study uses Susenas March 2019 raw data in a cross-section of 34 provinces and 514 districts/cities in Indonesia with a coverage of 315,672 households, designed using a quasi-experiment on the treatment group and control group after program implementation. The treatment group was formed by beneficiary families while the control group was formed by non-beneficiary families. The sample of beneficiaries was 50,485 or 9,845,922 households if calculated with Susenas weighting (65.55% of the total 2019 realization of 15,020,323 national beneficiaries) and non-beneficiaries were 181,358 households. The data were analyzed using a probit regression model and impact estimation was conducted using the Propensity Score Matching (PSM) approach. The results suggest that education level is a bigger determinant for households to become Rastra-BPNT beneficiaries, especially for household heads who did not finish primary school and those who graduated from primary school. Rastra-BPNT food social assistance has a significant and positively correlated impact on beneficiary families with a pattern of food proportion to total expenditure > 50%. There was a shift in the food consumption budget share for Beneficiary Families in several dominant commodities such as grains; eggs and milk; processed food and beverages; and cigarettes, tobacco and betel. The distribution of Rastra-BPNT from November 2018 to February 2019 can reduce the gap between household groups, but there are still errors in the distribution of benefits. Downloads
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ReferencesSmith, L. C., Alderman, H., & Aduayom, D. (2006). Food Insecurity In Sub-Saharan Africa: New Estimates from Household Expenditure Surveys. Research Report of the International Food Policy Research Institute, (146), 1–122. DOI: https://doi.org/10.2499/0896291502 . Rose, S., Ihsan, A., & Adil, S. (2021). Factors Influencing The Food Security and Nutrition Expenditures In Farm Households In Punjab, Pakistan. European Scientific Journal ESJ, 17(25). DOI: https://doi.org/10.19044/esj.2021.v17n25p21 . Ali, A. F. M., Ibrahim, M. F., & Aziz, M. R. Ab. (2018). Food and Non-Food Expenditure Trends Among the Poor and Needy in Kelantan, Malaysia. Journal of Entrepreneurship and Business, 6(1), 59–78. DOI: https://doi.org/10.17687/jeb.0601.05 Hassan, K., Yusof, R., & Abdullah, N. (2016). Livelihood Strategies and Income Generating Opportunities: A Case Study on Rural Poor Households In Kedah, Malaysia. International Journal of Business and Society, 17(3), 461–472. DOI: https://doi.org/10.33736/ijbs.536.2016 . Kafle, K., Winter-Nelson, A., & Goldsmith, P. (2016). Does 25 Cents More Per Day Make A Difference? The Impact of Livestock Transfer and Development In Rural Zambia. Food Policy, 63, 62–72. DOI: https://doi.org/10.1016/j.foodpol.2016.07.001 . Rose, D., & Charlton, K. E. (2002). Quantitative Indicators from A Food Expenditure Survey Can Be Used to Target The Food Insecure in South Africa. Journal of Nutrition, 132(11), 3235–3242. DOI: https://doi.org/10.1093/jn/132.11.3235 . Venkataraman, S., Anbazhagan, S., & Anbazhagan, S. (2019). Expenditure On Health Care, Tobacco, and Alcohol: Evidence From Household Surveys In Rural Puducherry. Journal of Family Medicine and Primary Care, 8(3), 909. DOI: https://doi.org/10.4103/jfmpc.jfmpc_91_19 . Bjerregaard, P., Olesen, I., & Larsen, C. V. L. (2021). Association of Food Insecurity with Dietary Patterns and Expenditure on Food, Alcohol and Tobacco Amongst Indigenous Inuit In Greenland: Results From A Population Health Survey. BMC Public Health, 21(1). DOI: https://doi.org/10.1186/s12889-021-11123-x . Mohd Ali, A. F., Ibrahim, M. F., & Ab. Aziz, M. R. (2021). Food and Non-food Expenditure Trends Among the Poor and Needy in Kelantan, Malaysia. Journal of Entrepreneurship and Business, 6(1), 59–78. DOI: https://doi.org/10.17687/jeb.v6i1.425 . Maluccio, J. A., Martorell, R., & Ramírez, L. F. (2005). Household Expenditures and Wealth Among Young Guatemalan Adults. Food and Nutrition Bulletin, 26(2 SUPPL. 1). DOI: https://doi.org/10.1177/15648265050262s111 . Kharkwal, S., & Malhotra, R. (2020). Assessment of the Food Security Status of Households Belonging to different Regions of Himalayan Belt. Economic Affairs (New Delhi), 65(4), 611–617. DOI: https://doi.org/10.46852/0424-2513.4.2020.17 . Das, P., & Basar, S. M. A. (2020). Are the Non-poor Households Nutritionally Secure? An Assessment from NSSO Unit Level Data in India Between 2004–2005 and 2011–2012. Indian Journal of Human Development, 14(2), 182–201. DOI: https://doi.org/10.1177/0973703020953504 . Fotso, J. C., Madise, N., Baschieri, A., Cleland, J., Zulu, E., Kavao Mutua, M., & Essendi, H. (2012). Child growth in urban deprived settings: Does household poverty status matter? At which stage of child development?. Health and Place, 18(2), 375–384. DOI: https://doi.org/10.1016/j.healthplace.2011.12.003 Agatha, C., Walingo, M., & Othuon, L. (2010). Expenditure patterns of food and non-food items in HIV/AIDS affected and non-affected households in Kisumu district, Kenya. African Journal of Food, Agriculture, Nutrition and Development, 10(4). DOI: https://doi.org/10.4314/ajfand.v10i4.55328 . Duniya, K., & Adinah, I. (2015). Probit Analysis of Cotton Farmers’ Accessibility to Credit in Northern Guinea Savannah of Nigeria. Asian Journal of Agricultural Extension, Economics & Sociology, 4(4), 296–301. DOI: https://doi.org/10.9734/ajaees/2015/13538 . Ibrahim, H., & Yanti, R. (2019). Empowerment of women farmers on sustainable food Security with dynamics system modelling (in Nagari Koto Tuo, Harau Sub-district, Limapuluh Kota Regency, West Sumatera). In IOP Conference Series: Earth and Environmental Science (Vol. 299). Institute of Physics Publishing. DOI: https://doi.org/10.1088/1755-1315/299/1/012022 . Weigel, M. M., & Armijos, M. M. (2015). Food Insufficiency in the Households of Reproductive-Age Ecuadorian Women: Association with Food and Nutritional Status Indicators. Ecology of Food and Nutrition, 54(1), 20–42. DOI: https://doi.org/10.1080/03670244.2014.953249 . Siddique, M., Nawaz, Y., Riaz, F., Tarar, M. A., Azhar, Z., Hashmi, A. H., & Waheed, A. (2015). Effects of malnutrition on women reproductive health in Punjab. Pakistan Journal of Nutrition, 14(3), 155–163. DOI: https://doi.org/10.3923/pjn.2015.155.163 . Islam, M., Kurshed, A., Azad, T., & Bhuyan, M. (2013). Changing Patterns in Lifestyle, Food Intake and Health Status between Selected Beneficiary People and Non-beneficiary People of Urban Slum in Dhaka City. Bangladesh Journal of Nutrition, 15–22. DOI: https://doi.org/10.3329/bjnut.v24i0.14033 . Devi Artanti, G., Fidesrinur, & Garzia, M. (2022). Stunting and Factors Affecting Toddlers in Indonesia. JPUD - Jurnal Pendidikan Usia Dini, 16(1), 172–185. DOI: https://doi.org/10.21009/jpud.161.12 . |
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2024-01-08
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Fardian, M. I., Nazer, M., & Muharja, F. (2024). The Impact of Rastra-BPNT Assistance on Household Food Expenditure Patterns and Poverty Status in Indonesia. Jurnal Informatika Ekonomi Bisnis, 6(1), 28-37. https://doi.org/10.37034/infeb.v6i1.794
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