Sitti Nurani Sirajuddin1, Indriati Sudirman2, Lydia Devega Bahar2, Abdel Rahman Al Tawaha4, and Abdel Razzaq Al-Tawaha5
1 Department of Social Economic, Faculty of Animal Husbandry, Hasanuddin University, Perintis Kemerdekaan Street Km. 10, Tamalanrea Indah, Tamalanrea, Makassar 90245, South Sulawesi, Indonesia
2 Department of Management, Faculty of Economics and Business, Hasanuddin University, Perintis Kemerdekaan Street Km. 10, Tamalanrea Indah, Tamalanrea, Makassar 90245, South Sulawesi, Indonesia
3 Agribusiness Study Graduate Program, Hasanuddin University, Perintis Kemerdekaan Street Km. 10, Tamalanrea Indah, Tamalanrea, Makassar 90245, South Sulawesi, Indonesia
4 Department of Biology, Faculty of Science, Al-Hussein Bin Talal University, P.O.Box 358, Um alsomaq, 11821, Amman, Jordan
5 Department of Crop Science, Faculty of Agriculture, University Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia
Sirajuddin, S. N., Sudirman, I., Bahar, L. D., Al Tawaha, A. R., & Al Tawaha, A. R. (2018). Social economic factors that affect cattle farmer’s willingness to pay for artificial insemination programs. Bulgarian Journal of Agricultural Science, 24(4), 574–580
There is a serious problem in Indonesia in the field of animal husbandry, that is the low productivity and genetic quality of cattle. To solve the problem, artificial insemination (AI) was done to improve the productivity of cattle and farmer’s income. But actually the farmer’s willingnes to pay (WTP) affects the AI programs. This research aimed to understand the social economy factors that affected beef cattle breeder’s WTP for artificial insemination programs in Barru Regency, South Sulawesi Province, Indonesia. The research was conducted from May to July 2017 in the Balusu district, South Sulawesi Province, Indonesia. The type of research is explanatory quantitative. The populations were all of the farmers that do artificial insemination in cattle in Balusu district, a total of 85 farmers. The data sources were primary data and secondary data; data types were qualitative and quantitative. Analysis of data used multiple regression analysis. The results showed that simultaneously age factors, formal education, social care, and the attitude, AI’s knowledge, business scale and extension significantly affected the farmers WTP for artificial insemination of their cattle. However, the social care factors, location, and the farmers’ attitude in separate, partial regressions were also significantly influential. So, it is necessary to increase knowledge about AI with intensity of counseling higher on Bali cattle breeder. As the conclusion, age factor, formal education, social awareness, knowledge about AI, business scale, counseling and location significantly influence the willingness to pay farmers in applying artificial insemination to Bali cattle.