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Rural Household Food Consumption in Bengkulu, Indonesia: Estimating a Demand System Based on SUSENAS Microdata

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  • Melli Suryanty S. N.
  • Toshinobu Matsuda

Abstract

The paper aims to estimate the food demand of rural households in Bengkulu Province, Indonesia, using the Quadratic Almost Ideal Demand System (QUAIDS) and microdata from the SUSENAS. We aggregate food into five groups- staple food, animal food, vegetables & fruits, prepared food, and other food. The results show that demand for animal food is the most sensitive to food expenditure, whereas the demand for staple food is the most expenditure-inelastic. Staple food, animal food, vegetables & fruits, and other food are substitutes for each other. On the other hand, prepared food and staple food complement each other. Other food is the easiest to be substituted, and staple food is the most difficult to be substituted. The demographic variables, as well as prices and expenditures, impact household demand. For example, as family size increases, the demand for staple food increases, while the demand for animal food, vegetables & fruits decreases. The number of children under five years old has a positive impact on animal food demand but a negative impact on staple food and other food demand. Staple farmer households have a higher need for staple food than non-agricultural households. Due to being unmarried, divorced or bereaved, single households have a lower demand for staple food but a higher demand for prepared food. We mainly imply that the food price stabilization policy should emphasize animal food, especially beef and poultry, without increasing prices.

Suggested Citation

  • Melli Suryanty S. N. & Toshinobu Matsuda, 2024. "Rural Household Food Consumption in Bengkulu, Indonesia: Estimating a Demand System Based on SUSENAS Microdata," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 14(12), pages 1-15, April.
  • Handle: RePEc:ibn:jasjnl:v:14:y:2024:i:12:p:15
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    References listed on IDEAS

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    1. Vargas-Lopez, Adrian & Cicatiello, Clara & Principato, Ludovica & Secondi, Luca, 2022. "Consumer expenditure, elasticity and value of food waste: A Quadratic Almost Ideal Demand System for evaluating changes in Mexico during COVID-19," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    2. Lokuge, Manori Nimanthika & Zivkovic, Sanja & Lange, Kelly & Chidmi, Banaissa, 2019. "Estimation of a censored food demand system and nutrient elasticities: a cross-sectional analysis of Sri Lanka," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 22(5), July.
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    4. John Eakins & Liam Gallagher, 2003. "Dynamic almost ideal demand systems: an empirical analysis of alcohol expenditure in Ireland," Applied Economics, Taylor & Francis Journals, vol. 35(9), pages 1025-1036.
    5. Ngui, Dianah & Mutua, John & Osiolo, Hellen & Aligula, Eric, 2011. "Household energy demand in Kenya: An application of the linear approximate almost ideal demand system (LA-AIDS)," Energy Policy, Elsevier, vol. 39(11), pages 7084-7094.
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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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