Title : The Economics of Agriculture and Natural Resources
Since unfavorableweather condition is the most important cause of loss in the gardening sector and apple production, it is necessary to provide a proper strategy for risk management to improve farm economic and social conditions. Insurance is a suitable tool to control such problems, while due to challenges, such as asymmetric information, it cannot manage these risks well. In this regard, it is logical to use the successful global approach in handling the weather-based index insurance, which can solve problems caused by asymmetric information, and can stabilize farmers’ income. Thus, in this research, we design the weather-based index insurance for the apple production in Damavand which is considered an important apple production center in Iran. Data were collected during 1987–2016 from Iranian Agriculture Jihad Organization and the meteorological station in Damavand County. To investigate the dependency structure between weather variables and yield, the C- and D-vine copulas are used, and the Bayesian approach is employed to estimate the copula parameters. Considering the derived expected loss from this dependency structure, the premium is 36162340.44 Rials, that is different from the premium of the current insurance. This diversity arises form circular and administrative of current plan and lack of consideration of expected loss in the premium determination.
Weather-based index insurance · Canonical vine copula · Drawable vine copula · Apple · Dependency structure, Weather-based index insurance · Canonical vine copula · Drawable vine copula · Apple · Dependency structure
30 جستجوی اخیر
- استرس
- صحیفه
- رسانه
- behrooznia
- بررسی اقتصادی پیامدهای
- سد
- مسئولیت مدنی
- حسن پور
- بسته بندی نان های بدون گلوتن
- فلوریت
- معدن
- خیابانی
- علی معصومی
- غلامحسین رونقی
- بلایای طبیعی
- رضا سرعلی
- تنش گرما
- دستورانی
- بیرجند
- محمود رضا ثقفی
- mastitis
- بار امواج
- دینامیک
- دینامیک
- منابع طبیعی
- طاهرزاده
- انگور
- پیاز خوراکی
- بختیار شعبانی ورکی
- امید علی خوارزمی