Factors Influencing Income Inequality among Farming Households of Cassava Producers, North Central, Nigeria

Olugbenga Omotayo Alabı; Ibrahim Maharazu; Jeremiah Aluwong

Makale detayları

Factors Influencing Income Inequality among Farming Households of Cassava Producers, North Central, Nigeria

Yazarlar:

Olugbenga Omotayo Alabı | Ibrahim Maharazu | Jeremiah Aluwong

Yayıncı:

Duzce University

Ana Başlıklar:

Agronomi | Tarım-Ekosistem İşlevi ve Tahmini

Dergi:

Düzce Üniversitesi Ziraat Fakültesi Dergisi Vol.2 Issue 2, pp.60-72

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001334087

pISSN:

3023-7114

Anahtar kelimeler:

Özet:

 This study focused on the factors influencing income inequality among farming households of cassava producers in North Central, Nigeria. A multi-stage sampling method was employed to select 160 cassava producers. Primary data were used. The data were analyzed using descriptive statistics, Gini coefficient, and Probit model analysis. The results show that about 87 of cassava producers were male, while 13 were female. Approximate 92 of cassava producers were married. The mean age of cassava producers was 48 years. Averagely, the cassava producers had 13 years experience in cassava farming. The cassava producers were literate with an average of 12 years of school education. The household sizes were large with an average of 8 people per household. Approximate 77 of cassava producers were member of cooperatives. The average farm size was 1.75 hectares which means that they are small-scale farmers. The estimates of Gini-coefficient show that 67 41.88 of cassava producers had values equal or less than 0.5 which means that they belong to low and moderate income inequality class. Similarly, approximate 93 58.12 of cassava producers had Gini-coefficient greater than 0.5, this implies that they belong to high income inequality class. The age, level of education, amount of credit accessed, farm experience, farm size, and extension contact were significantly different from zero in influencing the income inequality among farming households of cassava producers. The study recommends that single digit credit facilities should be provided to cassava farmers devoid of cumbersome administrative procedures. Also, mechanized farming using farm technologies with adequate provision of fertilizers, improved cuttings, agrochemicals, at appropriate time and affordable prices will increase productivity, income of cassava farmers.

 This study focused on the factors influencing income inequality among farming households of cassava producers in North Central, Nigeria. A multi-stage sampling method was employed to select 160 cassava producers. Primary data were used. The data were analyzed using descriptive statistics, Gini coefficient, and Probit model analysis. The results show that about 87 of cassava producers were male, while 13 were female. Approximate 92 of cassava producers were married. The mean age of cassava producers was 48 years. Averagely, the cassava producers had 13 years experience in cassava farming. The cassava producers were literate with an average of 12 years of school education. The household sizes were large with an average of 8 people per household. Approximate 77 of cassava producers were member of cooperatives. The average farm size was 1.75 hectares which means that they are small-scale farmers. The estimates of Gini-coefficient show that 67 41.88 of cassava producers had values equal or less than 0.5 which means that they belong to low and moderate income inequality class. Similarly, approximate 93 58.12 of cassava producers had Gini-coefficient greater than 0.5, this implies that they belong to high income inequality class. The age, level of education, amount of credit accessed, farm experience, farm size, and extension contact were significantly different from zero in influencing the income inequality among farming households of cassava producers. The study recommends that single digit credit facilities should be provided to cassava farmers devoid of cumbersome administrative procedures. Also, mechanized farming using farm technologies with adequate provision of fertilizers, improved cuttings, agrochemicals, at appropriate time and affordable prices will increase productivity, income of cassava farmers.

 This study focused on the factors influencing income inequality among farming households of cassava producers in North Central, Nigeria. A multi-stage sampling method was employed to select 160 cassava producers. Primary data were used. The data were analyzed using descriptive statistics, Gini coefficient, and Probit model analysis. The results show that about 87 of cassava producers were male, while 13 were female. Approximate 92 of cassava producers were married. The mean age of cassava producers was 48 years. Averagely, the cassava producers had 13 years experience in cassava farming. The cassava producers were literate with an average of 12 years of school education. The household sizes were large with an average of 8 people per household. Approximate 77 of cassava producers were member of cooperatives. The average farm size was 1.75 hectares which means that they are small-scale farmers. The estimates of Gini-coefficient show that 67 41.88 of cassava producers had values equal or less than 0.5 which means that they belong to low and moderate income inequality class. Similarly, approximate 93 58.12 of cassava producers had Gini-coefficient greater than 0.5, this implies that they belong to high income inequality class. The age, level of education, amount of credit accessed, farm experience, farm size, and extension contact were significantly different from zero in influencing the income inequality among farming households of cassava producers. The study recommends that single digit credit facilities should be provided to cassava farmers devoid of cumbersome administrative procedures. Also, mechanized farming using farm technologies with adequate provision of fertilizers, improved cuttings, agrochemicals, at appropriate time and affordable prices will increase productivity, income of cassava farmers.

 Bu çalışma, Kuzey Merkez, Nijeryadaki manyok üreticilerinin çiftçi haneleri arasındaki gelir eşitsizliğini etkileyen faktörlere odaklandı. 160 manyok üreticisini seçmek için çok aşamalı bir örnekleme yöntemi kullanıldı. Birincil veriler kullanıldı. Veriler tanımlayıcı istatistikler, Gini katsayısı ve Probit model analizi kullanılarak analiz edildi. Sonuçlar manyok üreticilerinin yaklaşık 87sinin erkek, 13ünün ise kadın olduğunu göstermektedir. Manyok üreticilerinin yaklaşık 92si evliydi. Manyok üreticilerinin ortalama yaşı 48di. Manyok üreticilerinin manyok tarımında ortalama 13 yıllık deneyimi vardı. Manyok üreticileri okuryazardı ve ortalama 12 yıllık okul eğitimi aldılar. Hanehalkı büyüklükleri oldukça büyük olup, hane başına ortalama 8 kişi düşmektedir. Manyok üreticilerinin yaklaşık 77si kooperatiflere üyedir. Ortalama çiftlik büyüklüğü 1,75 hektardı, bu da onların küçük ölçekli çiftçi olduğu anlamına geliyor. Gini katsayısı tahminleri, manyok üreticilerinin 67sinin 41,88 0,5e eşit veya daha düşük değerlere sahip olduğunu, yani düşük ve orta gelir eşitsizliği sınıfına ait olduklarını göstermektedir. Benzer şekilde, manyok üreticilerinin yaklaşık 93ünün 58,12 Gini katsayısının 0,5ten büyük olması, onların yüksek gelir eşitsizliği sınıfına ait olduklarını göstermektedir. Yaş, eğitim düzeyi, erişilen kredi miktarı, çiftlik deneyimi, çiftlik büyüklüğü ve yayım sözleşmesi, manyok üreticilerinin çiftçi haneleri arasındaki gelir eşitsizliğini etkilemede sıfırdan önemli ölçüde farklıydı.Çalışma, manyok çiftçilerine hantal idari prosedürlerden arındırılmış tek haneli kredi olanaklarının sağlanmasını önermektedir. Ayrıca, yeterli miktarda gübre, iyileştirilmiş çelikler ve zirai kimyasalların uygun zamanda ve uygun fiyatlarla temin edildiği çiftlik teknolojilerini kullanan mekanize tarım, manyok çiftçilerinin verimliliğini ve gelirini artıracaktır.

Makale detayları

Factors Influencing Income Inequality among Farming Households of Cassava Producers, North Central, Nigeria

Yazarlar:

Olugbenga Omotayo Alabı | Ibrahim Maharazu | Jeremiah Aluwong

Yayıncı:

Duzce University

Ana Başlıklar:

Agronomi | Tarım-Ekosistem İşlevi ve Tahmini

Dergi:

Düzce Üniversitesi Ziraat Fakültesi Dergisi Vol.2 Issue 2, pp.60-72

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001334087

pISSN:

3023-7114

Income Inequality

Cassava Producers

Gini Coefficient

Probit Model

North West

NigeriaGelir Eşitsizliği

Manyok Üreticileri

Gini Katsayısı

Probit Modeli

Kuzey Batı

Nijerya.

Sayı

Makale detayları

Yazarlar: Olugbenga Omotayo Alabı | Ibrahim Maharazu | Jeremiah Aluwong

Yayıncı: Duzce University

Ana Başlıklar: Agronomi | Tarım-Ekosistem İşlevi ve Tahmini

Dergi: Düzce Üniversitesi Ziraat Fakültesi Dergisi Vol.2 Issue 2, pp.60-72

Belge Tipi: Makale

Yayın Tarihi: 12/2024

Belge Dili: İngilizce

Document ID (Org No.): 2001334087

pISSN: 3023-7114

Sayı

Yazarlar:

Olugbenga Omotayo Alabı | Ibrahim Maharazu | Jeremiah Aluwong

Yayıncı:

Duzce University

Ana Başlıklar:

Agronomi | Tarım-Ekosistem İşlevi ve Tahmini

Dergi:

Düzce Üniversitesi Ziraat Fakültesi Dergisi Vol.2 Issue 2, pp.60-72

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001334087

pISSN:

3023-7114