Rice Demand and Local Food Substitutability: A Household-Level Analysis in East Nusa Tenggara, Indonesia
DOI:
https://doi.org/10.15408/saj.v6i1.50800Keywords:
rice, rice substitute, staple food, carbohydrates, sweet potatoAbstract
then the potential for food substitution should be optimized. This study aims to analyze the demand for rice as a staple food for households. The study used secondary data, namely the 2024 SUSENAS. The study sample size was 6,933 households. The demand model approach used a multiple linear regression model. The results showed that the rice demand model in East Nusa Tenggara (NTT) was very significant. The coefficient of determination (R2) is 0.626. The price of rice has a significant effect on the demand for rice (α 0.01). The results of data analysis show that the substitute food for rice in NTT is sweet potatoes, indicated by a positive regression coefficient and sig at α 10%, meaning that if the price of rice increases, the demand for sweet potatoes increases. Or in other words, if the price of rice increases, households in NTT replace rice with sweet potatoes. Complementary foods for rice are wheat, cassava, and potatoes. Socio-demographic variables have a significant effect on the demand for rice with a positive regression coefficient, meaning that if income or the number of household members increases, the demand for rice also increases. The results of this study confirm that households in NTT consume rice as a staple carbohydrate source, and sweet potato can be a substitute for rice. As a policy implication, the importance of food diversification strategies in East Nusa Tenggara is focused on optimizing sweet potato as a buffer stock commodity. The findings on socio-demographic variables imply that local governments need to integrate independent food programs based on sweet potato to prevent excessive dependence on external rice supplies, especially in household segments with a large number of household members
References
Amfo, B., Abankwah, V., & Bahahudeen Shafiwu, A. (2023). Local rice consumption and attributes considered in urban Ghana: Does internal migration matter? Cogent Food & Agriculture, 9(2), 2281098.
Angelucci, M., & Attanasio, O. (2013). The demand for food of poor urban mexican households: Understanding policy impacts using structural models. American Economic Journal: Economic Policy, 5(1), 146–178.
Anindita, R., Amalina, F., Sa’diyah, A. A., Khoiriyah, N., & Muhaimin, A. W. (2022). Food Demand for Carbohydrate Sources: Linear Approximation-Almost Ideal Demand System/LA-AIDS Approach. Universitas Brawijaya Press.
Bahri, T. S., Romano, Iskandar, E., Wardhana, M. Y., Widyawati, Vonna, A. G., & Humaira, C. S. (2025). Impact of climate change on rice production in Aceh: Resilience and sustainability of rice production. IOP Conference Series: Earth and Environmental Science, 1476(1), 012060.
Bazoche, P., Guinet, N., Poret, S., & Teyssier, S. (2023). Does the provision of information increase the substitution of animal proteins with plant-based proteins? An experimental investigation into consumer choices. Food Policy, 116, 102426.
Bellemare, M. F., Kandpal, E., & Thomas, K. (2024). Income and the Demand for Food among the Poor. JSTOR.
Cabral, D., Moura, A. P., Fonseca, S. C., Oliveira, J. C., & Cunha, L. M. (2024). Exploring rice consumption habits and determinants of choice, aiming for the development and promotion of rice products with a low glycaemic index. Foods, 13(2), 301.
Chen, X., Xing, L., Li, B., & Zhang, Y. (2024). Substitution or complementary effects: The impact of neighborhood effects and policy interventions on farmers’ pesticide packaging waste recycling behavior. Journal of Cleaner Production, 482, 144198.
De, K. (2017). The food price channel: Effects of monetary policy on the poor in India (Doctoral dissertation). University of Georgia.
Forgenie, D., Hutchinson, S. D., Mahase-Forgenie, M., & Khoiriyah, N. (2024). Analyzing per capita food consumption patterns in net food-importing developing countries. Journal of Agriculture and Food Research, 18, 101278.
Forgenie, D., Hutchinson, S. D., & Muhammad, A. (2024). Dynamic analysis of Caribbean food import demand. Journal of Agriculture and Food Research, 15, 100989.
Ghozali, I. (2018). Aplikasi Analisis Multivariate Dengan Program IBM SPSS 25. Badan Penerbit Universitas Diponegoro.
Jamal, M. R., Kristiansen, P., Kabir, M. J., & Lobry de Bruyn, L. (2023). Challenges and adaptations for resilient rice production under changing environments in Bangladesh. Land, 12(6), 1217.
Khoiriyah, N., Anindita, R., Hanani, N., & Muhaimin, A. W. (2020). Impacts of rising animal food prices on demand and poverty in Indonesia. Agricultural Socio-Economics Journal, 20(1), 65–76.
Khoiriyah, N., Apriliawan, H., & Forgenie, D. (2023). Analyzing household demand for animal food as a source of protein: The case of rural Gorontalo Province, Indonesia. Agricultural Socio-Economics Journal, 23(2), 239–248.
Khoiriyah, N., Forgenie, D., & Iriany, A. (2023). Estimating household price and income elasticities for animal-sourced food: The case of Bengkulu Province, Indonesia. Agris On-Line Papers in Economics and Informatics, 15(3), 73–85.
Khoiriyah, N., Isnaini, M., Iriany, A., & Forgenie, D. (2023). Analyzing the cost of paddy rice labor in Indonesia: A case study in Ten Tons Syngenta Project. JSEP (Journal of Social and Agricultural Economics), 16(2), 189–204.
Nagaraj, R. A., Geethalakshmi, V., Manonmani, S., Ravikumar, R., Murugananthi, D., Bhuvaneswari, K., Senthilraja, K., Kumar, S. M., & Kumar, M. S. (2024). Comprehensive insights into the risks of climatic factors on rice production and its value chain-a review. Plant Science Today, 11, 1–12.
Nendissa, D. R., Iriany, A., Sui, J. M., Khoiriyah, N., Suphattanakul, O., & Wisetsri, W. (2022). The role of renewable and nonrenewable energy on agricultural economics in Indonesia. International Journal of Energy Economics and Policy, 12(3), 352–360.
Rahayu, Y. P., Girik Allo, A., Yuminarti, U., & Situmorang, E. R. (2023). Is sago the best substitution for rice? An analysis of demand for rice in Papua. SN Business & Economics, 3(4), 83.
Rozi, F., Santoso, A. B., Mahendri, I. G. A. P., Hutapea, R. T. P., Wamaer, D., Siagian, V., Elisabeth, D. A. A., Sugiono, S., Handoko, H., & Subagio, H. (2023). Indonesian market demand patterns for food commodity sources of carbohydrates in facing the global food crisis. Heliyon, 9(6), e16781.
Sa’diyah, A. A., Lestari, E., Forgenie, D., Nendissa, D. R., & Khoiriyah, N. (2024). The structure of strategic food demand in Indonesian urban: An application of a Linearized Almost Ideal Demand System (LA/AIDS). BIO Web of Conferences, 143, 01007.
Sumarwati, S. (2022). Traditional ecological knowledge on the slope of Mount Lawu, Indonesia: All about non-rice food security. Journal of Ethnic Foods, 9(1), 9.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Nikmatul Khoiriyah, Aini Qudusi Auliya Trisna, Jeemoni Gogoi
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
