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

Öz

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.

Anahtar Kelimeler

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

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

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

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