ISSN 2736-1721
Global Journal of Business Management ISSN 6731-4538 Vol. 10 (1), pp. 001-006, January, 2016. © International Scholars Journals
Full Length Research Paper
Factors affecting the adoption of agricultural innovations in Erzurum Province, Turkey
Ayse Sezgin1*, Tuğba Erem Kaya2, Murat külekçi3 and Hediye kumbasaroğlu4
1The Ministry of Agriculture and Rural Affairs, Erzurum Agricultural Directorate of Province, Erzurum, Turkey.
2The Ministry of Environment and Forestry, Environment and Forestry Directorate of Erzurum City, Turkey.
3Faculty of Agriculture, Department of Agricultural Economics, Atatürk University, Erzurum, Turkey.
4The Ministry of Environment and Forestry, the Directorate of DSĐ VIII, Erzurum, Turkey.
Accepted 13 October, 2015
Abstract
In order to determine the factors affecting the adoption of agricultural innovations, 169 farmers were reviewed in 7 counties that may represent Erzurum province in terms of social, economic and cultural aspects. The data were analyzed in LIMDEP software using logistic regression method and the results were presented in tables. The innovations examined in the study were adoption of artificial insemination, membership to cooperative, having automatic waterer in stables and making use of incentives for agricultural production. The results of the analysis indicated that the age, education level, and income level of the farmers, operational goal of the farm, participation in extension studies, making use of mass media means and benefitting from agricultural incentives were influential on the adoption of innovations to a great extent. The study concluded that in order to improve the efficiency of studies on the adoption of innovations significantly, it was necessary to hold extension studies constantly and intensively, utilize the mass media means effectively in addition to other methods, include the innovation in the support scheme for a definite period of time and encourage the businesses for commercial production.
Key words: Adoption of innovations, LIMDEP, logistic regression analysis, Erzurum.