Determination of Factors Affecting Farmers' Preference for Corn Seed by Conjoint Analysis

Nazire Mıkaıl

Article Details

Determination of Factors Affecting Farmers' Preference for Corn Seed by Conjoint Analysis

Authors:

Nazire Mıkaıl

Publisher:

Mevlüt AKÇURA

Main Topics:

Agricultural Economics (Other)

Journal:

Turkish Journal of Agricultural and Natural Sciences Vol.11 Issue 4, pp.1252-1264

Document Type:

Article

Publication Date:

12/2024

Document Language:

English

Document ID (Org No.):

2001329491

pISSN:

2148-3647

Keywords:

Abstract:

 Modeling consumer preferences among multi-attribute alternatives has been one of the main activities in consumer research. Conjoint analysis is a multivariate statistical analysis technique that reveals the acceptance of criteria such as yield, price and adaptability that are important in consumers usage habits and preferences. In this study, it was aimed to determine the degree of importance given by grain corn growers to seed traits in corn seed purchase. For this purpose, conjoint analysis was applied and preferences in seed purchase were determined according to the data obtained from the survey conducted among farmers. The survey questions used in the research were applied to 123 farmers. Kendalls Tau value, which is the representativeness of the model, was 0.935 p0.05 and the coefficient of determination was 0.98. As a result, the qualities emphasized during corn seed purchase were firstly yield 60.41, secondly drought resistance 11.96, thirdly disease resistance 11.85, fourthly price 8.81 and finally grain size 6.98.

 Modeling consumer preferences among multi-attribute alternatives has been one of the main activities in consumer research. Conjoint analysis is a multivariate statistical analysis technique that reveals the acceptance of criteria such as yield, price and adaptability that are important in consumers usage habits and preferences. In this study, it was aimed to determine the degree of importance given by grain corn growers to seed traits in corn seed purchase. For this purpose, conjoint analysis was applied and preferences in seed purchase were determined according to the data obtained from the survey conducted among farmers. The survey questions used in the research were applied to 123 farmers. Kendalls Tau value, which is the representativeness of the model, was 0.935 p0.05 and the coefficient of determination was 0.98. As a result, the qualities emphasized during corn seed purchase were firstly yield 60.41, secondly drought resistance 11.96, thirdly disease resistance 11.85, fourthly price 8.81 and finally grain size 6.98.

 Modeling consumer preferences among multi-attribute alternatives has been one of the main activities in consumer research. Conjoint analysis is a multivariate statistical analysis technique that reveals the acceptance of criteria such as yield, price and adaptability that are important in consumers usage habits and preferences. In this study, it was aimed to determine the degree of importance given by grain corn growers to seed traits in corn seed purchase. For this purpose, conjoint analysis was applied and preferences in seed purchase were determined according to the data obtained from the survey conducted among farmers. The survey questions used in the research were applied to 123 farmers. Kendalls Tau value, which is the representativeness of the model, was 0.935 p0.05 and the coefficient of determination was 0.98. As a result, the qualities emphasized during corn seed purchase were firstly yield 60.41, secondly drought resistance 11.96, thirdly disease resistance 11.85, fourthly price 8.81 and finally grain size 6.98.

 Tüketici tercihlerinin çok özellikli alternatifler arasında modellenmesi, tüketici araştırmalarında ana faaliyetlerden biri olmuştur. Konjoint analizi çok değişkenli istatistiksel analiz tekniği olup, tüketicilerin kullanım alışkanlıkları ve tercihlerinde önemli olan verim, fiyat ve adaptasyon gibi kriterlerin kabulünü ortaya çıkarmaktadır. Bu çalışmada, danelik mısır yetiştiricilerinin mısır tohumu alımında tohum özelliklerine verdikleri önem derecelerinin belirlenmesi amaçlanmıştır. Bunun için konjoint analizi uygulanmış ve çiftçiler arasında yapılan anket çalışmasından elde edilen verilere göre tohum alımında tercihler belirlenmiştir. Araştırmada kullanılan anket soruları 123 çiftçiye uygulanmıştır. Modelin temsil gücü olan Kendalls Tau değeri 0.935 p0.05, belirleme katsayısı ise 0.98 olarak bulunmuştur. Sonuç olarak, mısır tohumu alımı esnasında üzerinde durulan nitelikler, ilk olarak verim 60.41, ikinci olarak kuraklığa dayanıklılık 11.96, üçüncü olarak hastalığa dayanıklılık 11.85, dördüncü olarak fiyat 8.81 ve son olarak da dane büyüklüğü 6.98 olarak tespit edilmiştir.

Article Details

Determination of Factors Affecting Farmers' Preference for Corn Seed by Conjoint Analysis

Authors:

Nazire Mıkaıl

Publisher:

Mevlüt AKÇURA

Main Topics:

Agricultural Economics (Other)

Journal:

Turkish Journal of Agricultural and Natural Sciences Vol.11 Issue 4, pp.1252-1264

Document Type:

Article

Publication Date:

12/2024

Document Language:

English

Document ID (Org No.):

2001329491

pISSN:

2148-3647

Conjoint analysis

corn seed

orthogonal planKonjoint analizi

mısır tohumu

ortogonal plan

tercih modeli

Issues

Article Details

Determination of Factors Affecting Farmers' Preference for Corn Seed by Conjoint Analysis

Authors: Nazire Mıkaıl

Publisher: Mevlüt AKÇURA

Main Topics: Agricultural Economics (Other)

Journal: Turkish Journal of Agricultural and Natural Sciences Vol.11 Issue 4, pp.1252-1264

Document Type: Article

Publication Date: 12/2024

Document Language: English

Document ID (Org No.): 2001329491

pISSN: 2148-3647

Conjoint analysis

corn seed

orthogonal planKonjoint analizi

mısır tohumu

ortogonal plan

tercih modeli

Issues

Authors:

Nazire Mıkaıl

Publisher:

Mevlüt AKÇURA

Main Topics:

Agricultural Economics (Other)

Journal:

Turkish Journal of Agricultural and Natural Sciences Vol.11 Issue 4, pp.1252-1264

Document Type:

Article

Publication Date:

12/2024

Document Language:

English

Document ID (Org No.):

2001329491

pISSN:

2148-3647