Nijerya'nın Kaduna ve Kano Eyaletlerinde Darıya Yönelik Hane Halkı Talebinin Tahmini: Doğrusallaştırılmış Neredeyse İdeal Talep Sistemi Modelinin Uygulanması.

Yıl 2025, Cilt: 3 Sayı: 2, 80 - 94, 25.12.2025

Olugbenga Omotayo Alabı , Jeremiah Aluwong , Joseph Bayei , Agada Sunday , Felix Ntat , Tochukwu Mike Ezepue

Öz

Bu çalışma, Nijerya'nın Kaduna ve Kano eyaletlerinde darıya olan hanehalkı talebini tahmin etmiştir: doğrusallaştırılmış neredeyse ideal talep sistemi modelinin uygulanması. 200 darı yetiştiricisini seçmek için çok aşamalı bir örnekleme tasarımı kullanılmıştır. İyi yapılandırılmış bir ankete dayalı birincil veriler kullanılmıştır. Veriler, tanımlayıcı istatistikler ve doğrusallaştırılmış neredeyse ideal talep sistemi modeli (LA-AIDS) kullanılarak analiz edilmiştir. Sonuçlar, darı yetiştiricilerinin ortalama yaşının 42 olduğunu ve ortalama 8 yılın okula gittiğini göstermektedir. Hanehalkı büyüklükleri, hane başına ortalama 8 üye ile büyüktür. Ayrıca, darı, -0,381'lik kendi fiyat esnekliğine sahip fiyat esnek olmayan bir talep sergilemiştir; bu, fiyat değişikliklerinin hanehalkı tüketimi üzerinde küçük etkilere sahip olduğunu göstermektedir. Tahmini 0,787'lik gelir esnekliği, darıyı normal bir mal olarak sınıflandırmış ve tüketimin gelirle birlikte arttığını göstermiştir. Çapraz fiyat esneklikleri, darı, mısır ve sorgum arasında zayıf bir ikame edilebilirlik göstermiştir; bu da darının çalışma alanındaki haneler için benzersiz kültürel ve diyetsel rolünü yansıtmaktadır. Ayrıca, regresyon analizi, yaş, cinsiyet, eğitim ve hanehalkı büyüklüğü gibi sosyo-ekonomik faktörlerin, darı talebini pozitif ve anlamlı şekilde etkileyen medeni durum (0,3187) dışında istatistiksel olarak önemsiz olduğunu ortaya koymuştur. Bu bulgular, hanehalkı darı talebinin sosyoekonomik özelliklerden ziyade fiyat ve harcama dinamiklerinden daha fazla etkilendiğini ortaya koymaktadır. Politika çıkarımları arasında, çiftçilere gübre, geliştirilmiş tohumlar ve krediye erişim gibi gerekli girdilerin sağlanması yoluyla darı tarımının geliştirilmesi ve özellikle beslenme çeşitliliği ve tüketici tercihleri bağlamında fiyat istikrarı, katma değer ve beslenme farkındalığı kampanyaları yoluyla darı tüketiminin teşvik edilmesi yer almaktadır.

Anahtar Kelimeler

Hanehalkı Talebi , Darı Tüketimi , Yerine geçmek , : Doğrusallaştırılmış Neredeyse İdeal Talep Sistemi Modeli

Etik Beyan

NIL

Destekleyen Kurum

NIL

Proje Numarası

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Teşekkür

Thanks

Estimating Household Demand for Millet in Kaduna and Kano States, Nigeria: Application of Linearized Almost Ideal Demand System Model.

Öz

This study estimated household demand for millet in Kaduna and Kano States, Nigeria: application of linearized almost ideal demand system model. A multi-stage sampling design was utilized to select 200 millet growers. Primary data were used based on a well-structured questionnaire. Data were analyzed using descriptive statistics and linearized almost ideal demand system model (LA-AIDS). The result shows that the mean age of millet growers is 42 years with an average of 8 years spent in attending school education. The household sizes were large with an average of 8 members per household. Also, millet exhibited price inelastic demand with an own price elasticity of – 0.381, indicating that price changes exerted small effects on household consumption. The estimated income elasticity of 0.787 classified millet as a normal good suggesting that consumption increases with income. Cross price elasticities showed a weak substitutability between millet, maize and sorghum reflecting millets unique cultural and dietary role to households in the study area. Furthermore, the regression analysis further revealed that socio- economic factors such as age, gender, education and household size were statistically insignificant except marital status (0.3187) which positively and significantly influence millet demand. These findings highlight that household millet demand is more strongly influenced by price and expenditure dynamics than socio-economic characteristics. Policy implication include the need to enhance millet farming through provision of necessary inputs for farmers such like fertilizers, improved seeds and access to credit and the need to promote millet consumption through price stabilization, value addition and nutritional awareness campaigns particularly in the context of dietary diversification and consumer preferences.

Anahtar Kelimeler

Household Demand , Millet Consumption , Substitute , Linearized Almost Ideal Demand System Model

Etik Beyan

NIL

Destekleyen Kurum

NIL

Proje Numarası

NIL

Teşekkür

Thanks

Kaynakça

• Abdulai, A., & Aubert, D. (2004). A cross-section analysis of household demand for food and nutrients in Tanzania. Agricultural Economics, 31(1), 67–79. https://doi.org/10.1111/j.1574-0862.2004.tb00222.x
• Adewumi, M. O., & Omotesho, O. A. (2017). Gender analysis of agricultural production in Nigeria. Journal of Agricultural Extension, 21(1), 91–104.
• Ajeigbe, H. A., Abdoulaye, T., & Chikoye, D. (2018). Trends in millet and sorghum production in Nigeria: A review. International Crops Research Institute for the Semi-Arid Tropics (ICRISAT).
• Alabi, O. O., & Anekwe, C,E. (2023). Gender differentials and profitability analysis of pepper (Capsicum species) production, Kaduna State, Nigeria. American International Journal of Agricultural Studies, 7(1), 1 – 9. https://doi.org/10.46545/aijas.v7i1.269
• Alston, J., Norton, G & Pardey, P. (1994). Science under scarcity: Principles and practices/or agricultural research evaluation and priority setting. Cornell University Press.
• Amadou, I., Le, G. W., Shi, Y. H., & Jin, S. (2016). Millet-based traditional foods and beverages—Food security and health perspectives. Nutrients, 8(12), Article 770.
• Amaza, P. S., Umeh, J. C., Helsen, J., & Adejobi, A. O. (2006). Determinants and measurement of food insecurity in Nigeria: Some empirical policy guide. International Association of Agricultural Economists Conference, Gold Coast, Australia. https://doi.org/10.22004/ag.econ.25357
• Anderson, J. R., & Feder, G. (2007). Agricultural extension. In R. Evenson & P. Pingali (Eds.), Handbook of Agricultural Economics (Vol. 3, pp. 2343–2378). Elsevier. https://doi.org/10.1016/S15740072(06)03044-1
• Babatunde, R. O., Omotesho, O. A., & Sholotan, O. S. (2007). Socio-economic characteristics and food security status of farming households in Kwara State, North-Central Nigeria. Pakistan Journal of Nutrition, 6(1), 49–58. https://doi.org/10.3923/pjn.2007.49.58
• Babatunde, R.O & Qaim, M (2010). Impact of Off-Farm Income on Food Security and Nutrition in Nigeria. Food Policy, 35, 303 – 311. https://dx.doi.org/10.1016/j.foodpol.2010.01.006
• Bamire, A. S., & Olubode-Awosola, F. (2010). Technical efficiency in yam production in Oyo State, Nigeria. African Journal of Food, Agriculture, Nutrition and Development, 10(4), 2258–2279.
• Buse, A. (1994). Evaluating the linearized almost ideal demand system. American Journal of Agricultural Economics, 76(4), 781-793. https://doi.org/10.2307/1243739
• Central Bank of Nigeria (CBN) (2021). Statistical bulletin. Central Bank of Nigeria. https://www.cbn.gov.ng
• Deaton, A., & Muellbauer, J. (1980). An almost ideal demand system. American Economic Review, 70(3), 312-326.
• Food and Agriculture Organization of the United Nations (FAO) (2021). FAOSTAT statistical database. FAO. https://www.fao.org/faostat/en/
• Koc, A. & Alpay, S. (2002). Household demand in Turkey: An application of almost ideal demand system with spatial cost index. Economic Research Forum for the Arab Countries, Iran & Turkey.
• National Bureau of Statistics (Nigeria) (NBS) (2020). Household consumption expenditure pattern in Nigeria 2019. National Bureau of Statistics. https://www.nigerianstat.gov.ng/
• Ogundari, K., & Arifalo, S. F. (2014). Determinants of household demand for food in Nigeria. African Journal of Agricultural and Resource Economics, 9(4), 297–308.
• Ogunniyi, L.T., Ajao, A.O & Oladejo, J. A (2012). Food consumption pattern in Ogbomoso metropolis of Oyo State, Nigeria. Journal of Agriculture and Social Research, 12(1), 74-83.
• Okoye, B. C., Abass, A., Bachwenkizi, B., Asumugha, G., & Alenkhe, B. (2016). The role of credit access in cassava productivity in Nigeria. Journal of Rural Studies, 45, 250–259.
• Omonona, B. T., & Agoi, G. A. (2007). An analysis of food security situation among Nigerian urban households: Evidence from Lagos State, Nigeria. Journal of Central European Agriculture, 8(3), 397–406.
• Peterman, A., Behrman, J., & Quisumbing, A. (2014). A review of empirical evidence on gender differences in non-land agricultural inputs, technology, and services in developing countries. Springer Science Reviews, 2(4), 145-186. http://dx.doi.org/10.1007/978-94-017-8616-4_7
• Popkin, B. M. (2014). Nutrition, agriculture and the global food system in low and middle-income countries. Food Policy, 47, 91–96. https://doi.org/10.1016/j.foodpol.2014.05.001
• Simtowe, F., Asfaw, S., & Abate, T. (2016). Determinants of agricultural technology adoption under partial population awareness: The case of pigeonpea in Malawi. Agricultural and Food Economics, 4(1), 1–21.https://doi.org/10.1186/s40100-016-0051-z
• Taljaard, P. R. (2003). Econometric estimation of the demand for meat in South Africa. (Master’s thesis, University of the Free State, Department of Agricultural Economics). https://doi.org/10.22004/ag.econ.28066
• Tafese, H., & Tenaye, A. (2025). Determinants and demand elasticities of improved maize seed utilization in Halaba Zone, Central Ethiopia: An almost ideal demand system (AIDS) approach. Asian Journal of Economics, Business and Accounting, 25(8), 191–202.
• United Nations (UN) (2022). The sustainable development goals report 2022. United Nations. https://sdgs.un.org/goals
• Yamane, T. (1967). Statistics: An introductory analysis (2nd ed.). Harper and Row.