Türkiye’de Büyükbaş Hayvan Hayat Sigortası Talebinin Count Data Yöntemiyle Tahmini: TRAI Bölgesi Örneği

Emine İki̇kat Tümer,Avni Bi̇ri̇nci̇

doi:10.18016/ksutarimdoga.vi.706142

Abstract

Agriculture sector faces natural, social and economic risks resulting from its production structure. One of the strategies to be used to transfer such risks is agricultural insurance. It was aimed in the present study to estimate the demand of farmers for cattle insurance (CI) and determine the effective factors which can increase the share of premium production of CI in total premium production of agricultural insurance in TRA1 Region. Data were obtained from 122 farms determined using proportional sampling method in the provinces of Erzurum, Erzincan and Bayburt (TRA1 Region) through a questionnaire survey. Count Data Model was used in convenience with the aim of the study. According to the results obtained, when premium cost of CI increased 3 folds, then the number of animals desired to be insured decreased by nearly 1-fold. In addition, when the budget allocated for agricultural production and the probability of animal disease both increased by 1%, the number of animals desired to be insured increased by 1.56% and 0.61%, respectively.

Highlights

Agriculture as a sector is the indispensable part of overall economic system
The proportion of adventurous farmers who like risky investments in the region was 21.3% and they were in the risk-taking group (İkikat Tümer and Birinci, 2013)
Social security is the provision of an income guarantee with people on which they can live against the risks including the possibility of losing their jobs current and in coming years (Anonymous, 2009)

Summary

Introduction

Agriculture as a sector is the indispensable part of overall economic system. Importance of the sector in overall economic system can be estimated by the share of value added it creates (Ege, 2011). The number of animals up to ten for which farmers wanted to make insurance in a year time under the risk of a certain disease tried to be determined. In ZINB model, the number of animals for which farmers desired to make CI is dependent variable. Depending on the number of animals, farmers don’t want to make CI due to the factors such as lack of income or awareness and dependent variable gets the value of zero and ZINB regression model was used in the study.

Results

Conclusion