Analysis of net farm income and constraints faced by okra farmers, North West, Nigeria

Year 2025, Volume: 30 Issue: 1, 226 - 236, 26.04.2025

Olugbenga Omotayo Alabı , Ibrahim Maharazu , Adam Mohammed , Akeem Ajibola , Ademu Ocheni

https://doi.org/10.37908/mkutbd.1599662

Abstract

This study analyzed the net farm income and constraints faced by okra farmers, in North West, Nigeria. A multi-stage sampling technique was utilized. In the fourth-stage, a proportional and random sampling technique was employed to select 200 okra producers. Primary data were used for this study. The data were evaluated using descriptive statistics, farm budgeting techniques, and Kendall’s concordance of statistics . The mean age of respondents was 47 years. The total variable cost (TVC) in okra farming was calculated at 331878.61 Naira per hectare, accounting for 82.97% of the total cost. Similarly, the total fixed cost (TFC) was calculated at 68141.04 Naira per hectare, accounting for 17.03% of the total cost. The gross margin (GM) and net farm income(NFI) were estimated at 688141.39 and 620000.35 Naira per hectare, respectively. This means that okra farming is profitable. The RORI (rate of return on investment) or (return per Naira invested) in okra farming was estimated at 1.55. This implies that for every one Naira invested into okra farming, approximately 1.55 Naira is made as revenue. The high cost of fertilizer had the highest average rank score of 10.88 among the constraints faced by okra producers, while the high transportation cost had the lowest average rank score of 6.79. Credit should be provided to okra farmers at the single interest rate, devoid of cumbersome administrative procedures.

Keywords

Net Farm Income , Constraints , Okra Producers , Kendall’s’ statistics of Concordance , North West , Nigeria

Project Number

NIL

Kuzey Batı, Nijerya’daki bamya çiftçilerinin karşılaştığı net çiftlik geliri ve kısıtlamaların analizi

Abstract

Bu çalışmada, Kuzey Batı, Nijerya’daki bamya çiftçilerinin karşılaştığı net çiftlik gelirini ve kısıtlamaları analiz edilmiştir. Çok aşamalı örnekleme tekniği kullanılmıştır. Dördüncü aşamada 200 bamya üreticisini seçmek için orantılı ve tesadüfi örnekleme tekniği uygulandı. Bu çalışma için birincil veriler kullanılmıştır. Veriler tanımlayıcı istatistikler, çiftlik bütçeleme tekniği ve Kendall'ın uyum istatistikleri kullanılarak değerlendirildi. Ankete katılanların yaş ortalaması 47 idi. Bamya yetiştiriciliğinde toplam değişken maliyet (TVC) hektar başına 331878.61 Naira olarak hesaplandı ve bu, toplam maliyetin %82.97'sini oluşturdu. Benzer şekilde toplam sabit maliyet (TFC) hektar başına 68141.04 Naira olarak hesaplandı ve bu toplam maliyetin %17.03'ünü oluşturuyordu. Brüt kar marjı (GM) ve net çiftlik gelirinin (NFI) sırasıyla hektar başına 688141.39 ve 620000.35 Naira olduğu tahmin edildi. Bu da bamya çiftçiliğinin karlı olduğu anlamına geliyor. Bamya çiftçiliğinde RORI (yatırım getirisi oranı) veya (yatırım yapılan Naira başına getiri) 1.55 olarak tahmin edildi. Bu, Naira'nın bamya çiftçiliğine yaptığı her yatırım için yaklaşık 1.55 Naira gelir elde edildiği anlamına geliyor. Bamya üreticilerinin karşılaştıkları kısıtlar arasında en yüksek ortalama sıralama puanı 10,88 ile gübre maliyetinin yüksek olduğu, en düşük sıralama puanının ise 6.79 ile yüksek nakliye maliyeti olduğu görüldü. Bamya çiftçilerine hantal idari prosedürlerinden arındırılmış, tek faiz oranıyla kredi sağlanmalıdır.

Keywords

Beklentiler , Kısıtlamalar , Bamya Üreticileri , Kendall , Kuzey Batı , Nijerya

Project Number

NIL

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