Analyzing Saudi Potato Demand: A Comparative Evaluation of AIDS, QUAIDS, and Rotterdam Models
Department of Agricultural Economics, College of Food and Agriculture Sciences, King Saud University, Riyadh 11451, Saudi Arabia
Advanced Agricultural & Food Technologies Institute, King Abdulaziz City for Science and Technology, Riyadh 11442, Saudi Arabia
Department of Agricultural Economics, College of Food and Agriculture Sciences, King Saud University, Riyadh 11451, Saudi Arabia
Department of Agricultural Economics, College of Food and Agriculture Sciences, King Saud University, Riyadh 11451, Saudi Arabia
Department of Agricultural Economics, College of Food and Agriculture Sciences, King Saud University, Riyadh 11451, Saudi Arabia
Department of Agricultural Economics, College of Food and Agriculture Sciences, King Saud University, Riyadh 11451, Saudi Arabia
Department of Agricultural Economics, College of Food and Agriculture Sciences, King Saud University, Riyadh 11451, Saudi Arabia
DOI: https://doi.org/10.36956/rwae.v6i4.2382
Received: 25 June 2025 | Revised: 4 August 2025 | Accepted: 12 August 2025 | Published Online: 23 September 2025
Copyright © 2025 Yosef Alamri, Abdullah I. Aldakhil, Jawad Alhashim, Alaa Kotb, Suliman Almojel, Khaled Alkhorayef, Khaild Alkhamis. Published by Nan Yang Academy of Sciences Pte. Ltd.
This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.
Abstract
This study evaluates and compares the empirical performance of three demand system models―Almost Ideal Demand System (AIDS), Quadratic AIDS (QUAIDS), and Rotterdam―in estimating price, income, and cross-price elasticities for potato demand in Saudi Arabia. Given the volatile nature of emerging-market data, the study aims to identify the most suitable model for accurately capturing consumer behavior in the Saudi potato market. The empirical analysis highlights the strengths and limitations of each model in handling price and income fluctuations. While the AIDS and QUAIDS models proved theoretically attractive, both exhibited estimation challenges in this context, including statistically insignificant coefficients, violations of homogeneity and symmetry, and unstable elasticity results. QUAIDS, though capable of capturing nonlinearities, suffered from convergence issues and multicollinearity under volatile conditions. These limitations prompted the adoption of the Rotterdam model, which provided a more stable and theoretically consistent forecast. The study also implements homogeneity and symmetry restrictions within Rotterdam’s framework (RMLE) to enhance model reliability. Diagnostic tests, including Wald tests for coefficient significance and Durbin-Watson tests for residual autocorrelation, confirm the robustness of the findings. In addition, the analysis highlights the practical significance of elasticity estimation for policy design and food security planning. The results offer valuable insights for policymakers and market analysts to understand demand elasticity and improve forecasting in Saudi Arabia’s potato sector.
Keywords: Price Elasticity; Potatoes; AIDS; QUAIDS; Rotterdam
References
[1] Food and Agriculture Organization of the United Nations (FAO), 2025. Data. Available from: https://www.fao.org/faostat/en/#data (cited 10 January 2025).
[2] Deaton, A., Muellbauer, J., 1980. An Almost Ideal Demand System. The American Economic Review. 70(3), 312–326.
[3] Chai, A., Moneta, A., 2010. Retrospectives: Engel Curves. Journal of Economic Perspectives. 24(1), 225–240. DOI: https://doi.org/10.1257/jep.24.1.225
[4] Lewbel, A., Pendakur, K., 2009. Tricks With Hicks: The EASI Demand System. American Economic Review. 99(3), 827–863. DOI: https://doi.org/10.1257/aer.99.3.827
[5] Barnett, W.A., Seck, O., 2008. Rotterdam Model Versus Almost Ideal Demand System: Will the Best Specification Please Stand Up? Journal of Applied Econometrics. 23(6), 795–824. DOI: https://doi.org/10.1002/jae.1009
[6] Tiffin, R., Arnoult, M., 2010. The Demand for a Healthy Diet: Estimating the Almost Ideal Demand System With Infrequency of Purchase. European Review of Agricultural Economics. 37, 501–521. DOI: https://doi.org/10.1093/erae/jbq038
[7] Rono, P.K., Rahman, S., Benaissa, C., 2017. An Analysis of Demand for Roots and Tubers in Kenya Using the Linear Approximation Almost Ideal Demand System (LA-AIDS). In Proceedings of The 2017 Southern Agricultural Economics Association (SAEA) Annual Meetings in Mobile, Mobile, AL, USA, 4–7 February 2017; pp. 1–13. DOI: https://doi.org/10.22004/ag.econ.252786
[8] Bahloul, A., Ahmed, M., 2021. Estimation of the Almost Ideal Demand System for Egyptian Potatoes Exports in the Most Important Foreign Markets. Journal of Sustainable Agricultural Sciences. 47(4), 429–443. DOI: https://doi.org/10.21608/jsas.2021.86404.1297
[9] Huber, C.C., 2012. An Estimated System of Demand for Specialty Potato Varieties: Marketing Implications From a Multi-City Comparison [Master’s Thesis]. Colorado State University: Fort Collins, CO. pp. 1–122.
[10] Richards, T.J., Kagan, A., Gao, X.M., 1997. Factors Influencing Changes in Potato and Potato Substitute Demand. Agricultural and Resource Economics Review. 26(1), 52–66. DOI: https://doi.org/10.1017/S1068280500000836
[11] Hsieh, M., Mitchell, P.D., Stiegert, K.W., 2009. Potato Demand in an Increasingly Organic Marketplace. Agribusiness. 25(3), 369–394. DOI: https://doi.org/10.1002/agr.20209
[12] Vigani, M., Dudu, H., Ferrari, E., et al., 2019. Estimation Food Demand Parameters in Kenya A Quadratic Almost Ideal Demand System (QUAIDS) Approach. JRC115472. Publications Office of the European Union: Luxembourg. pp. 1–35. DOI: https://doi.org/10.2760/479781
[13] Ilboudo, P.G., Kipruto, S., Wambiya, E., et al., 2022. Food Consumption in Kenya: Demand System Elasticities and Implications Towards Healthy Eating. SSRN preprint. ssrn.4109254. DOI: https://doi.org/10.2139/ssrn.4109254
[14] Nuani, F.O., Gido, E.O., Ayuya, O.I., et al., 2022. Demand Analysis for Selected Roots and Tubers Among Urban Households of Nakuru County, Kenya. Cogent Food & Agriculture. 8(1), 2093047. DOI: https://doi.org/10.1080/23311932.2022.2093047
[15] Huq, A.S., Alam, S., Sabur, S.A., 2004. Estimation of Potato Demand Elasticities in Bangladesh. Bangladesh Journal of Agricultural Economics. 27, 1–13. DOI: https://doi.org/10.22004/ag.econ.200333
[16] Ahmed, A., Shams, Y., 1993. Demand parameters in rural Bangladesh. https://www.researchgate.net/profile/Akhter-Ahmed-3/publication/265755820_DEMAND_PARAMETERS_IN_RURAL_BANGLADESH/links/54c7b2790cf238bb7d0b08cb/DEMAND-PARAMETERS-IN-RURAL-BANGLADESH.pdf (cited 10 January 2025).
[17] Alnafissa, M., Alderiny, M., 2020. Analysis of Saudi Demand for Imported Honey Using an Almost Ideal Demand System (AIDS). Journal of the Saudi Society of Agricultural Sciences. 19(4), 293–298. DOI: https://doi.org/10.1016/j.jssas.2019.05.001
[18] Okasha, H.S.M., 2017. The Geographical Analysis for the Cultivation and Production of Potato in Hail Area: A Study in Economic Geography. In Proceedings of The First Geographical Conference: Water Resources in the Arab World: Between Obstacles and Development Prospects, Al Minufiyah, Egypt, 9–11 December 2017; pp. 811–832. (in Arabic)
[19] Ghanem, A.M.K., Alduwais, A.A.M., Alamri, Y.A.R., et al., 2019. Potato Production Strategy in Saudi Arabia. Egyptian Journal of Agricultural Economics. 29(4), 1447–1456. https://doi.org/10.21608/meae.2019.113068 (in Arabic)
[20] Meyer, S., Yu, X., Abler, D.G., 2011. Comparison of Several Demand Systems. In Proceedings of The 2011 Annual Meeting, Pittsburgh, PA, USA, 24–26 July 2011; pp. 1–24. DOI: https://doi.org/10.22004/ag.econ.103736
[21] Decoster, A., Vermeulen, F., 1998. Evaluation of the Empirical Performance of Two-Stage Budgeting AIDS, QUAIDS and Rotterdam Models Based on Weak Separability. Katholieke Universiteit Leuven, Center for Economic Studies: Leuven, Belgium.
[22] Cranfield, J.A.L., 2005. Demands for food products across the development spectrum: application of a rank four demand system. Working Paper 05/04. Department of Agricultural Economics and Business, University of Guelph: Ontario, Canada. DOI: https://doi.org/10.22004/ag.econ.34111
[23] General Authority for Statistics, 2025. GASTAT statistics. Available from: https://www.stats.gov.sa/en/ (cited 10 January 2025).
[24] Ministry of Environment, Water and Agriculture, 2025. Statistical reports. Available from: https://www.mewa.gov.sa/ar/InformationCenter/Researchs/Reports/Pages/default.aspx (cited 10 January 2025). (in Arabic)
[25] Moschini, G., Rizzi, P., 2007. Deriving a Flexible Mixed Demand System: The Normalized Quadratic Model. American Journal of Agricultural Economics. 89(4), 1034–1045. DOI: https://doi.org/10.1111/j.1467-8276.2007.01027.x