Kuzeybatı Nijerya'daki domates üreticileri arasında çok boyutlu yoksulluğun dinamikleri ve belirleyicileri

Year 2026, Volume: 31 Issue: 1, 46 - 58, 11.03.2026

Olugbenga Omotayo Alabı , Hamid Kareem , Onyebuchi Henry Chiogor , Blessing Okpe , Joseph Bayei , Olateju Omole , Faith Agbomakha , Cynthia Onyinyechi Obinna Nwandikom , Paul Akınwumı Atteh

https://doi.org/10.37908/mkutbd.1708456

https://izlik.org/JA99ME73XT

Abstract

Bu çalışma, Kuzeybatı Nijerya'daki domates üreticileri arasında çok boyutlu yoksulluğun dinamiklerini ve itici güçlerini araştırdı. Çok aşamalı bir örnekleme tekniği kullanıldı, Kano ve Kaduna eyaletlerinden yaklaşık 200 domates çiftçisine anket uygulandı. Çok Boyutlu Yoksulluk Endeksi (MPI), Probit regresyon modeli ve t-testi analizi kullanıldı, MPI üç yoksulluk boyutunu kapsıyordu: eğitim, sağlık ve yaşam standardı, on ilişkili göstergeyle. Sonuçlar, katılımcıların %72'sinin çok boyutlu yoksul olduğunu, ortalama yoksulluk yoğunluğunun %62,37 ve MPI değerinin 0,4490 olduğunu ortaya koydu - Nijerya'nın ulusal ortalamasını aştı. Yaşam standardı yoksulluğa en önemli katkıda bulundu (%39,5), bunu sağlık (%35,9) ve eğitim (%24,6) izledi. Probit regresyon analizi, eğitim düzeyi ve gelirin çok boyutlu yoksullukla olumsuz ilişkili en önemli faktörler olduğunu, yaş, krediye erişim, çiftçilik deneyimi ve kooperatif üyeliği gibi değişkenlerin istatistiksel olarak anlamlı bir etkisi olmadığını gösterdi. Bir t-testi kullanılarak yapılan maliyet-getiri analizi, domates çiftçiliğinin karlılığını doğruladı ve ortalama getiriler maliyetleri önemli ölçüde aştı (₦903.960'a karşı ₦368.250,34). Ancak, karlılığa rağmen yetiştiriciler arasında yoksulluğun devam etmesi, gelirin tek başına altyapı, sağlık hizmeti ve eğitimde iyileştirmeler yapılmadan çok boyutlu yoksunlukları ortadan kaldıramayacağını göstermektedir. Çalışma, çiftçi hanelerinin genel refahını artırmak için tarımsal desteği sosyal altyapı geliştirmeyle bütünleştiren bütünsel yoksulluk azaltma stratejilerini önermektedir.

Keywords

Multidimensional Poverty , Headcount Ratio , Intensity of Poverty , Tomato Producers , Probit Regression Model , Nigeria

Project Number

NIL

Dynamics and drivers of multidimensional poverty among tomato producers in North West, Nigeria

https://izlik.org/JA99ME73XT

Abstract

This study investigated the dynamics and drivers of multidimensional poverty among tomato producers in Northwest Nigeria. A multi-stage sampling technique was utilized, approximately, 200 tomato farmers from Kano and Kaduna states were selected. The Multidimensional Poverty Index (MPI), Probit regression model and t-test analysis were employed with the MPI which measures severe deprivations by mirroring the Human Development Index in the dimensions of health, education, and living standard which are reflected in 10 indicators, each with equal weight within its dimension. The results revealed that 72% of the respondents are multidimensional poor, with an average poverty intensity of 62.37% and an MPI value of 0.4490—exceeding Nigeria’s national average. The standard of living contributed most significantly (39.5%) to poverty, followed by health (35.9%) and education (24.6%). The Probit regression analysis showed that educational attainment and income were the most significant factors negatively associated with multidimensional poverty, while variables such as age, access to credit, farming experience, and cooperative membership had no statistically significant effect. A cost-return analysis using a t-test confirmed the profitability of tomato farming, with average returns significantly exceeding costs (₦903,960 vs. ₦368,250.34). However, the persistence of poverty among growers, despite profitability, suggests that income alone cannot eliminate multidimensional deprivations without improvements in infrastructure, healthcare, and education. The study recommends holistic poverty alleviation strategies that integrate agricultural support with social infrastructure development to enhance the overall well-being of farming households.

Keywords

Multidimensional Poverty , Headcount Ratio , Intensity of Poverty , Tomato Producers , Probit Regression Model , Nigeria

Ethical Statement

NIL

Supporting Institution

NIL

Project Number

NIL

Thanks

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References

• Abubakar, I. R. (2021). Predictors of inequalities in land ownership among Nigerian households: Implications for sustainable development. Land Use Policy, 101, 105194. https://doi.org/10.1016/j.landusepol.2020.105194
• Adamu, A., & Michael, A. (2019). Socio-economic factors and other variables that determine poverty among women farmers in rural areas in Nigeria. Journal of Agricultural Economics and Development, 8(3), 45–56.
• Adeoti, A. I. (2014). Trend and determinants of multidimensional poverty in rural Nigeria. Journal of Development and Agricultural Economics, 6(5), 220–231. https://doi.org/10.5897/JDAE2013.0535
• Adepoju, A. (2018a). Determinants of multidimensional poverty transitions among rural households in Nigeria. International Association of Agricultural Economists (IAAE) Conference, Vancouver, British Columbia.
• Adepoju, A. O. (2018b). Chronic multidimensional poverty among rural households in Nigeria. Journal of Rural Studies, 62, 45–56.
• Alkire, S., & Foster, J. (2011). Counting and multidimensional poverty measurement. Journal of Public Economics, 95(7–8), 476–487. https://doi.org/10.1016/j.jpubeco.2010.11.006
• Alkire, S., Kanagaratnam, U., & Suppa, N. (2020). Nigeria multidimensional poverty index 2020. Oxford Poverty and Human Development Initiative.
• Alkire, S., & Robles, G. (2016). Global Multidimensional Poverty Index 2016. OPHI Briefing 41. University of Oxford.
• Alkire, S., Roche, J. M., Santos, M. E., & Seth, S. (2011). Multidimensional Index 2011: Brief methodological note. Oxford Poverty and Human Development Initiative.
• Alkire, S., & Santos, M. E. (2014). Measuring acute poverty in the developing world: Robustness and scope of the multidimensional poverty index. World Development, 59, 251–274. https://doi.org/10.1016/j.worlddev.2014.01.026
• Alkire, S., Roche, J. M., & Vaz, A. (2015). Changes over time in multidimensional poverty: Methodology and results for 34 countries. World Development, 94, 232–249.
• Alkire, S., & Santos, M. E. (2014). Measuring acute poverty in the developing world: Robustness and scope of the multidimensional poverty index. World Development, 59, 251–274. https://doi.org/10.1016/j.worlddev.2014.01.026
• Aminu, F. O., Adeyemi, O. A., & Yusuf, M. A. (2022a). Socio-demographic drivers of multidimensional poverty among arable crop farmers in Nigeria. Agricultural Economics Review, 18(1), 34–47.
• Aminu, R. O., Si, W., Ibrahim, S. B., Arowolo, A. O., & Ayinde, A. F. O. (2022b). Impact of socio and demographic factors on multidimensional poverty profile of smallholder arable crop farmers – evidence from Nigeria. International Journal of Social Economics, 49(2), 234–249. https://doi.org/10.1108/IJSE-12-2020-0834
• Bidyadhar, D., & Sanjay, K. M. (2015). Regional estimates of multidimensional poverty in India. Economics E-Journal, 9, 1–35. http://dx.doi.org/10.5018/economics-ejournal.ja.2015-36
• FAO. (2014). The state of food and agriculture 2014: Innovation in family farming. Food and Agriculture Organization of the United Nations.
• FAO. (2024). Food and Agriculture Organization. Rome, Italy.
• Israel, A. O., & Hakim, A. R. (2015). Multidimensional poverty assessments in rural farm household, South-West of Nigeria: Evidence from Oyo State farm settlements. Business Economics Journal, 6, 1. http://dx.doi.org/10.4172/2151-6219.1000157
• National Bureau of Statistics (NBS). (2019). Poverty and inequality in Nigeria 2019. National Bureau of Statistics.
• Ogunniyi, A., Olagunju, K., Kabir, S. K., & Adeyemi, O. (2016). Social crisis, terrorism and food poverty dynamics: Evidence from Northern Nigeria. International Journal of Economics and Financial Issues, 6(4), 1865–1872.
• Ogunniyi, A., Omonona, B., Abioye, O., & Olagunju, K. (2018a). Impact of irrigation technology use on crop yield, crop income and household food security in Nigeria: A treatment effect approach. AIMS Agriculture and Food, 3(2), 154–171. https://doi.org/10.3934/agrfood.2018.2.154
• Ogunniyi, A. I., Adebayo, C. O., & Oladejo, J. A. (2018b). Income diversification and multidimensional poverty in rural Nigeria. Journal of Rural Development, 37(2), 101–115.
• Ogunniyi, A. I., Oluseyi, O. P., & Adeyemo, S. A. (2017). Environmental risks and poverty among smallholder farmers in Nigeria. Journal of Agricultural Science, 9(5), 123–135.
• Oguntade, A. E. (2014). Food losses and waste in Nigeria: Implications for food security. Journal of Agricultural Science and Technology, 4(5), 345–352.
• Olarinde, L. O., Abbas, A. B., Abdoulaye, T., Adepoju, A. A., Fanifosi, E. G., Adio, M. O., Adeniyi, O. A., & Wasiu, A. (2020). Estimating multidimensional poverty among cassava producers in Nigeria: Patterns and socio-economic determinants. Sustainability, 12, 5366.
• Oyewunmi, O. A., & Obayelu, A. E. (2020a). Gender disparities in agricultural productivity in Nigeria. Gender and Development, 28(3), 456–470.
• Oyewunmi, O. A., & Obayelu, A. E. (2020b). Poverty status of rural households in Nigeria from a gendered perspective. African Journal of Agricultural Research, 15(3), 123–135.
• Rukwe, D. T., Barau, A. D., Aboki, E., Reuben, J., & Kara, H. A. (2023). Analysis of multidimensional poverty among rural farming households in Taraba State, Nigeria. Journal of Agricultural Economics, Environment and Social Sciences, 9(2), 155–170. https://doi.org/10.56160/jaeess202392015
• Sen, A. (1997). Concepts of human development and poverty: A multidimensional perspective. UNDP Poverty and Human Development Papers, 1–20.
• Ugonna, C. U., Jolaoso, M. A., & Onugu, A. P. (2024). Tomato value chain in Nigeria: Issues, challenges and strategies. Journal of Agricultural Economics and Development, 13(2), 67–78.
• UNDP. (2024). United Nations Development Programme: Annual report 2024.
• Yamane, T. (1967). Statistics: An introductory analysis (2nd ed.). Harper & Row.