THE IMPACT OF HOUSEHOLD CHARACTERISTICS ON THE DEMAND FOR ANIMAL PROTEIN FOOD AWAY FROM HOME IN JAKARTA

Authors

  • Daffa Sandi Lasitya Postgraduate of Agriculture Economics Program, Faculty of Agriculture, Brawijaya University
  • Ratya Anindita Socio-Economics Department, Faculty of Agriculture, Brawijaya University
  • Syafrial Syafrial Socio-Economics Department, Faculty of Agriculture, Brawijaya University

DOI:

https://doi.org/10.21776/ub.agrise.2022.022.4.12

Keywords:

animal protein, food away from home, household, quantile regression, socioeconomic

Abstract

Socio-economic conditions and demographics determine people's lifestyles, including food consumption expenditures. So far, research on food consumption away from home has only used a homogeneous household sample, and only a few have been found in Indonesia. This study aimed to analyze household characteristics' impact on animal protein food expenditure away from home using quantile regression analysis. The study used secondary data consisting of 4,346 household data in Jakarta from SUSENAS March 2020. The results show that spending on animal protein foods away from home in all income quintiles is not affected by household income. It shows that all household groups at various income levels have consumed animal protein foods away from home. Factors that have a positive and significant effect on protein food expenditure away from home are household food expenditure, age of the head of the family, number of family members, wife's education level, and location of residence. The presence of children under the age of 17 has a negative and significant influence. Therefore, it is necessary to monitor and guarantee food safety by producers and consumers to meet the adequacy of protein per capita which is healthy and nutritious.

References

Badan Pusat Statistik. (2019). Laporan Perekonomian Indonesia 2019. Badan Pusat Statistik, 04(01).

Badan Pusat Statistik. (2020). Pengeluaran untuk Konsumsi Penduduk Indonesia, September 2019. In Badan Pusat Statistik. Badan Pusat Statistik. https://doi.org/10.31942/abd.v4i2.3041

Badan Pusat Statistik. (2021a). Laporan Perekonomian Indonesia 2021. Badan Pusat Statistik.

Badan Pusat Statistik. (2021b). Pengeluaran untuk Konsumsi Penduduk Indonesia, September 2020. In Badan Pusat Statistik. https://doi.org/10.29103/tj.v10i2.381

Bai, J., Wahl, T. I., Lohmar, B. T., & Huang, J. (2010). Food away from home in Beijing: Effects of wealth, time and “free†meals. China Economic Review, 21(3), 432–441. https://doi.org/10.1016/j.chieco.2010.04.003

BPS Provinsi DKI Jakarta. (2022). Provinsi DKI Jakarta dalam Angka 2022. https://csirt.jakarta.go.id/portal/profil

Cantillo, J., Martín, J. C., & Román, C. (2021). Analysis of the main determinants of away-from-home consumption of fishery and aquaculture products in the EU28. Appetite, 163(March). https://doi.org/10.1016/j.appet.2021.105216

Cupák, A., PokrivÄák, J., & Rizov, M. (2016). Demand for food away from home in Slovakia. Journal of Economics and Finance, 66(4), 354–369. https://doi.org/10.22004/ag.econ.207285

Farfán, G., Genoni, M. E., & Vakis, R. (2017). You are what (and where) you eat: Capturing food away from home in welfare measures. Food Policy, 72(September), 146–156. https://doi.org/10.1016/j.foodpol.2017.08.020

Firpo, S., Fortin, N. M., & Lemieux, T. (2009). Unconditional Quantile Regressions. Econometrica, 77(3), 953–973. https://doi.org/10.3982/ecta6822

Haq, Z. U., Sherif, S., & Gheblawi, M. (2014). Impact of socioeconomic and demographic characteristics of households on demand for Food Away from Home in the United Arab Emirates. International Journal of Hospitality Management, 42, 92–99. https://doi.org/10.1016/j.ijhm.2014.06.011

Hawkes, C., Harris, J., & Gillespie, S. (2017). Urbanization and the nutrition transition. In Global Food Policy Report (Vol. 1, Issue 11, pp. 5–21). International Food Policy Research Institute.

Khan, J., & Mohanty, S. K. (2022). Regional pattern of child undernutrition, calorie consumption, non-food expenditure and wealth in India. Clinical Epidemiology and Global Health, 13(September 2021), 100942. https://doi.org/10.1016/j.cegh.2021.100942

Liu, M., Kasteridis, P., & Yen, S. T. (2013). Breakfast, lunch, and dinner expenditures away from home in the United States. Food Policy, 38(1), 156–164. https://doi.org/10.1016/j.foodpol.2012.11.010

Marshall, S., Burrows, T., & Collins, C. E. (2014). Systematic Review of Diet Quality Indices and Their Associations with Health-related Outcomes in Children and Adolescents. Journal of Human Nutrition and Dietetics, 27(6), 577–598. https://doi.org/10.1111/jhn.12208

Mottaleb, K. A., Rahut, D. B., & Mishra, A. K. (2017). Consumption of food away from home in Bangladesh: Do rich households spend more? Appetite, 119, 54–63. https://doi.org/10.1016/j.appet.2017.03.030

Nurbani, R. I. (2015). Perkembangan Proporsi Pengeluaran Konsumsi Bahan Makanan Masyarakat Indonesia: Seperti Apa Perubahan yang Terjadi? Buletin Newsletter No. 37/2016.

Oyedapo, H. A., Ayeni, O., Afolabi, N. B., & Akinyemi, O. J. (2021). Quantile regression methods for determination of factors associated with nutritional status of women of reproductive age in Nigeria. Scientific African, 14, e00988. https://doi.org/10.1016/j.sciaf.2021.e00988

Powell, L. M., & Nguyen, B. T. (2013). Fast-food and full-service restaurant consumption among children and adolescents: Effecton energy, beverage, and nutrient intake. Journal of American Medical Association, 167(1), 14–20. https://doi.org/10.1001/jamapediatrics.2013.417

Richards, T. J., Mancino, L., & Nganje, W. (2012). Nutrient Demand in Food Away from Home. Forum for Health Economics and Policy, 15(2). https://doi.org/10.1515/1558-9544.1246

Saidah, Yanuar, F., & Devianto, D. (2016). Analisis Regresi Kuantil. Jurnal Matematika UNAND, 5(1), 103. https://doi.org/10.25077/jmu.5.1.103-107.2016

Sangwan, N., & Kumar, S. (2021). Labor force participation of rural women and the household’s nutrition: Panel data evidence from SAT India. Food Policy, 102, 102117. https://doi.org/10.1016/j.foodpol.2021.102117

Downloads

Published

2022-10-31

How to Cite

Lasitya, D. S., Anindita, R., & Syafrial, S. (2022). THE IMPACT OF HOUSEHOLD CHARACTERISTICS ON THE DEMAND FOR ANIMAL PROTEIN FOOD AWAY FROM HOME IN JAKARTA. Agricultural Socio-Economics Journal, 22(4), 333–338. https://doi.org/10.21776/ub.agrise.2022.022.4.12

Issue

Section

Articles

Most read articles by the same author(s)

<< < 1 2 3 4 > >>