Determining Factors Affecting Agricultural Credit Demand: A Research in Erzurum Province, Türkiye

Ayhan Korkulu; Yusuf Akan

Makale detayları

Determining Factors Affecting Agricultural Credit Demand: A Research in Erzurum Province, Türkiye

Yazarlar:

Ayhan Korkulu | Yusuf Akan

Yayıncı:

Ankara University

Ana Başlıklar:

Agricultural Economics

Dergi:

Journal of Agricultural Sciences Vol.30 Issue 4, pp.712-724

Belge Tipi:

Makale

Yayın Tarihi:

10/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001330055

pISSN:

1300-7580

Anahtar kelimeler:

Özet:

 The purpose of this research is to identify the variables that might influence the demand for low-interest business and investment loans given to Türkiye livestock and agricultural industries. A face-to-face survey of 384 producers who go on with their production operations in ten distinct Erzurum districts provided the data utilized in the study. Binary logistic regression analysis was used to identify the factors influencing credit use. The data shows that producers in the age groups of 2030 are less likely to utilize credit than those in the 3145 and 4660 age groups. Credit use is higher among individuals involved in mixed production activities than in crop production only. Individuals who report being in excellent health have a higher likelihood of using credit than those who report being in bad health. Having a house of ones own increases the likelihood of using credit. Those whose production activity location is close to the district center are more likely to use credit. It has been shown that people are more likely to utilize if they say the guarantees that loan providers want are inexpensive, if they say they will carry on with their production, and if they say they are happy with the amount of expertise needed for production.

 The purpose of this research is to identify the variables that might influence the demand for low-interest business and investment loans given to Türkiye livestock and agricultural industries. A face-to-face survey of 384 producers who go on with their production operations in ten distinct Erzurum districts provided the data utilized in the study. Binary logistic regression analysis was used to identify the factors influencing credit use. The data shows that producers in the age groups of 2030 are less likely to utilize credit than those in the 3145 and 4660 age groups. Credit use is higher among individuals involved in mixed production activities than in crop production only. Individuals who report being in excellent health have a higher likelihood of using credit than those who report being in bad health. Having a house of ones own increases the likelihood of using credit. Those whose production activity location is close to the district center are more likely to use credit. It has been shown that people are more likely to utilize if they say the guarantees that loan providers want are inexpensive, if they say they will carry on with their production, and if they say they are happy with the amount of expertise needed for production.

 The purpose of this research is to identify the variables that might influence the demand for low-interest business and investment loans given to Türkiye livestock and agricultural industries. A face-to-face survey of 384 producers who go on with their production operations in ten distinct Erzurum districts provided the data utilized in the study. Binary logistic regression analysis was used to identify the factors influencing credit use. The data shows that producers in the age groups of 2030 are less likely to utilize credit than those in the 3145 and 4660 age groups. Credit use is higher among individuals involved in mixed production activities than in crop production only. Individuals who report being in excellent health have a higher likelihood of using credit than those who report being in bad health. Having a house of ones own increases the likelihood of using credit. Those whose production activity location is close to the district center are more likely to use credit. It has been shown that people are more likely to utilize if they say the guarantees that loan providers want are inexpensive, if they say they will carry on with their production, and if they say they are happy with the amount of expertise needed for production.

 The purpose of this research is to identify the variables that might influence the demand for low-interest business and investment loans given to Türkiye livestock and agricultural industries. A face-to-face survey of 384 producers who go on with their production operations in ten distinct Erzurum districts provided the data utilized in the study. Binary logistic regression analysis was used to identify the factors influencing credit use. The data shows that producers in the age groups of 2030 are less likely to utilize credit than those in the 3145 and 4660 age groups. Credit use is higher among individuals involved in mixed production activities than in crop production only. Individuals who report being in excellent health have a higher likelihood of using credit than those who report being in bad health. Having a house of ones own increases the likelihood of using credit. Those whose production activity location is close to the district center are more likely to use credit. It has been shown that people are more likely to utilize if they say the guarantees that loan providers want are inexpensive, if they say they will carry on with their production, and if they say they are happy with the amount of expertise needed for production.

Makale detayları

Determining Factors Affecting Agricultural Credit Demand: A Research in Erzurum Province, Türkiye

Yazarlar:

Ayhan Korkulu | Yusuf Akan

Yayıncı:

Ankara University

Ana Başlıklar:

Agricultural Economics

Dergi:

Journal of Agricultural Sciences Vol.30 Issue 4, pp.712-724

Belge Tipi:

Makale

Yayın Tarihi:

10/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001330055

pISSN:

1300-7580

Agricultural credit

Logistic regression

Marginal effect

Türkiye

Sayı

Makale detayları

Determining Factors Affecting Agricultural Credit Demand: A Research in Erzurum Province, Türkiye

Yazarlar: Ayhan Korkulu | Yusuf Akan

Yayıncı: Ankara University

Ana Başlıklar: Agricultural Economics

Dergi: Journal of Agricultural Sciences Vol.30 Issue 4, pp.712-724

Belge Tipi: Makale

Yayın Tarihi: 10/2024

Belge Dili: İngilizce

Document ID (Org No.): 2001330055

pISSN: 1300-7580

Agricultural credit

Logistic regression

Marginal effect

Türkiye

Sayı

Yazarlar:

Ayhan Korkulu | Yusuf Akan

Yayıncı:

Ankara University

Ana Başlıklar:

Agricultural Economics

Dergi:

Journal of Agricultural Sciences Vol.30 Issue 4, pp.712-724

Belge Tipi:

Makale

Yayın Tarihi:

10/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001330055

pISSN:

1300-7580