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    An evaluation of the efficiency of beekeeping enterprises in Hatay province with data envelopment analysis
    (Ankara Univ Press, 2021) Kaya, Ufuk; Gurcan, Ismayil Safa
    This study was aimed to determine technical and economic efficiency in beekeeping enterprises and to reveal the factors effecting the efficiency scores. The material of the current study consisted of the data obtained from 46 enterprises in Hatay province. Efficiency scores for technical and economical properties were determined with data envelopment analysis. The truncated regression model was used to determine the factors effecting the efficiency scores. The efficiency scores for technical and economical properties were calculated as 0.97 and 0.94, respectively. The results showed that 'experience', 'race of bee', 'education level' and `number of colony' variables were found to be statistically significant factors on efficiency of technical properties. No significant factors were found on efficiency of economic properties. In conclusion, it was revealed what conditions should be had in terms of technical and economical properties to be performed an efficient beekeeping activity in Hatay province.
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    Investigation of Factors Influencing Thoroughbred Horses' Racing Career Length in Turkey
    (Elsevier Science Inc, 2021) Ozen, Dogukan; Kaya, Ufuk; Ozen, Hulya; Ambarcioglu, Pinar; Unal, Necmettin; Gurcan, Ismayil Safa
    The aim of this research was to determine the average length of a Thoroughbred horse's racing career in Turkey using survival functions of Thoroughbred horses with various characteristics. In addition, the aim was to identify risk factors that could influence the duration of a Thoroughbred horse's racing career and develop a survival model that took these factors into account. A total of 11,721 Thoroughbred horses born in 2007 and later were included in the study population. The horses involved in the study were followed for a minimum of 1 year. Kaplan-Meier analysis was used to calculate the average length of racing career for each factor studied. Extended Cox regression analysis was used to determine the risk factors upon time of career ending and to create a survival model. Results showed that, the mean career length of Thoroughbred horses was 17.79 months (95% CI: 17.41-18.13). Also, starting age of the race, number of starts, type of track where the race started, racing on a single type racetrack and earning status were found risk factors that affect the length of the racing career. Earnings was the top relative contributor to the established model, and its sole adjusted effect showed that being in the lowest earning group increased the hazard of career ending 2.28 times (95% CI:1.98-2.61) compared to horses with highest earning group. In conclusion, clear differences upon the length of racing career was observed for each investigated factor. Future studies should be considerate of these differences when analyzing population data. (c) 2021 Elsevier Inc. All rights reserved.