TR22 Güney Marmara Bölgesindeki Süt Sığırı İşletmelerinde Yeniliklerin Benimsenmesini Etkileyen Faktörler

Yıl 2020, Cilt: 30 Sayı: 3, 576 - 584, 30.09.2020

Damla Özsayın

https://doi.org/10.29133/yyutbd.735573

Cited By: 2

Öz

Bu çalışmada; Türkiye'nin TR22 Güney Marmara Bölgesindeki Balıkesir ve Çanakkale illerindeki süt sığırcılığı işletmelerinde, yeniliklerin benimsenmesini etkileyen faktörlerin belirlenmesi amaçlanmıştır. Veriler, tabakalı tesadüfi örnekleme yöntemi ile 221 süt sığırcılığı işletmesinden toplanmıştır. Çalışma Mart ve Kasım 2019 arasında gerçekleştirilmiştir. Çalışma verilerini değerlendirmek için sıralı probit model kullanılmıştır. Çiftçilerin yaşı, hane halkı büyüklüğü, çiftçilerin süt sığırcılığı deneyimi, hane halkı geliri, süt sığırı sayısı, internet kullanım sıklığı, diğer çiftçilerle görüşme sıklığı ve tarımsal yayım personeli ile iletişim sıklığı değişkenlerinin, çiftçilerin yenilikleri benimsemesi üzerinde olumlu etkisinin olduğunu ortaya koymuştur; oysa çiftçilerin veterinerler ile iletişim sıklığı olumsuz şekilde etkilemiştir. Sonuç olarak; süt sığırcılığı faaliyetinde çiftçilerin yenilikleri benimsemesi, hayvancılık faaliyeti ile ilgili yeniliklere açık olan ve yenilikleri benimsemenin önemi ve gerekliliği hakkında bilgi sahibi olan çiftçilerle artırılabilir.

Anahtar Kelimeler

Benimseme, Süt sığırı, Yenilik, Sıralı probit analiz

Factors Affecting the Adoption of Innovations in Dairy Cattle Farms in TR22 South Marmara Region of Turkey

Öz

The present study was aimed to define the factors affecting the adoption of innovations in dairy cattle farms in Balıkesir and Çanakkale provinces in TR22 South Marmara Region, Turkey. The data were collected from 221 farms by a stratified random sampling method. The study was performed between March and November 2019. This study was used the ordered probit model to evaluate the data. The results revealed that the age of the farmers, household size, dairy cattle experience, household income, the number of dairy cattle, frequency of the internet use, meeting frequency with other farmers and contact frequency with agricultural extension personnel had a positive impact on farmers' adoption of innovations; whereas farmers' contact frequency with veterinaries had a negative impact. As a result, farmers' adoption of innovations in dairy farming activity can be increased with farmers who are open to innovations regarding animal husbandry and knowledgeable about the importance and the necessity of innovations adoption

Anahtar Kelimeler

Adoption, Dairy cattle, Innovation, Ordered probit model

Kaynakça

• Aksoy, A., Külekçi, M., & Yavuz, F. (2011). Analysis of the factors affecting the of adoption of innovations a in dairy farms in Erzurum province, Turkey. African Journal of Agricultural Research, 6, 2966-2970.
• Asfaw, S., Shiferaw, B., Simtowe, F., & Haile, M. G. (2011). Agricultural technology adoption, seed access constraints and commercialization in Ethiopia. Journal of Development and Agricultural Economics, 3, 436-447.
• Boz, İ., & Akbay, C. (2005). Factors influencing the adoption of maize in Kahramanmaraş province of Turkey. Agricultural Economics, 33, 431-440. doi: 10.1111/j.1574-0864.2005.00305.x
• Boz, İ., Akbay, C., Bas, S., & Budak, D. B. (2011). Adoption of innovations and best management practices among dairy farmers in the Eastern Mediterranean Region of Turkey. Journal of Animal and Veterinary Advances, 10, 251-261. doi:10.3923/javaa.2011.251.261
• Boz, İ. (2014). Determination of best management practices and innovations in beef cattle farming and their adoption in the Eastern Mediterranean Region of Turkey.Bulgarian Journal of Agricultural Science, 20, 552-562.
• Çukur, T. (2016). Factors affecting dairy farmers' application of agricultural innovations: a case study from Muğla province. Turkish Journal of Agriculture-Food Science and Technology,4, 611-617. doi: 10.24925/turjaf.v4i7.611-617.713
• Dhraief, M. Z., Bedhiaf-Romdhani, S., Dhehibi, B., Oueslati-Zlaoui, M., Jebali, O., & Ben Youssef, S., (2018). Factors affecting the adoption of innovative technologies by livestock farmers in Arid Area of Tunisia. FARA Research Report, 3, 1-22.
• Jerop, R., Dannenberg, P., Owuor, G., Mshenga, P., Paul, K., Maximilian, W., & Gideon, H. (2018). Factors affecting the adoption of agricultural innovations on underutilized cereals: the case of finger millet among smallholder farmers in Kenya. African Journal of Agricultural Research, 13, 1888-1900. doi: 10.5897/AJAR2018.13357
• Kariyasa, K. & Dewi, A. (2011). Analysis of factors affecting adoption of integrated crop management farmer field school (Icm-Ffs) in Swampy areas. International Journal of Food and Agricultural Economics, 1, 29-38.
• Kebede, Y., Gunjal, K. & Coffin, G. (1990). Adoption of new technologies in Ethiopian agriculture: the case of Tegulet- Bulga district Shoa province. Agricultural Economics, 4, 27-43. doi:10.1016/0169-5150(90)90018-V
• Kılıçtek, A., & Aksoy, A. (2019). Evaluation with regards to adoption of innovations of dairy milk business managements in Erzurum province. Turkish Journal of Agricultural and Natural Sciences, 6, 424-431.
• McLean-Meyinsse, P. E. (1997). Factors influencing early adoption of new food products in Louisiana and Southeast Texas. Journal of Food Distribution Research, 28, 1-10. doi:10.22004/ag.econ.27210
• Rogers, E. M. (1995). Diffusion of Innovations. Free Press, New York.
• Saliu, J. O., Ibrahim, M. K., & Eniojukan, F. O. (2016). Socio-economic determinants of improved rice technologies’ adoption among small scale farmers in Kogi State, Nigeria. Facta Universitatis Series: Economics and Organization, 13, 217 - 232.
• Sezgin, A., Kaya, E. T., Külekçi, M., & Kumbasaroğlu, H. (2010). Impact analysis on the adoption of the innovations generated for agricultural production: the case of Erzurum province. In: Proceedings of the 9th National Congress of Agricultural Economics, Şanlıurfa.
• STATA. (2005). Stata Longitudinal/Panel Data Reference Manual. College Station, TX: StataCorp LP.
• TURKSTAT. (2019). Statistical indicators. Turkish Statistical Institute. Livestock Statistics Annual Report. http://www.turkstat.gov.tr/. Accessed: May 21, 2019)
• Türkyılmaz, M. K., Bardakcıoğlu, H. E., & Nazlıgül, A. (2003). Socio-economic factors affecting the adoption of innovations in dairy enterprises in Aydın. Turkish Journal of Veterinary and Animal Sciences, 27,1269-1275.
• Yamane,T. (1967): Elementary Sampling Theory. Englewood Cliffs. Prentice-Hall Inc, New Jersey.
• Yener, A., & Oğuz, C. (2017). Economic analysis of dairy cattle enterprises: the case of Konya province. European Countryside, 9, 263-273. doi: 10.1515/euco-2017-0016