Clarifying the Role of Drought Adaptation Strategies on Changing Farming Mode by Livestock Farmers: Evidence from Komijan Township, Iran
Publish Year: 1398
نوع سند: مقاله ژورنالی
زبان: English
View: 73
This Paper With 14 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JASTMO-22-2_004
تاریخ نمایه سازی: 23 آبان 1402
Abstract:
The current empirical research was conducted to investigate the impact of drought on livestock production with the main objective of studying the role of adaptation strategies in the process of changing the farming mode from crop-oriented to livestock-oriented by farmers in Komijan Township, Iran. Komijan has been facing a long period of drought that has affected farming systems of the area. Primary data were collected through interview using a questionnaire. The statistical population of the study consisted of livestock farmers in the area (N= ۱,۰۰۰), out of which ۲۰۰ people were selected. The participants in research were interviewed using simple random sampling and Descriptive–Correlation research method. Logistic regression was used as the main statistical technique. Logit function with an odds ratio of ۷۰.۴% showed that strategies of shifting livestock as well as production management were the main responses of the farmers to drought conditions. Those farmers with a high level of perceived vulnerability were more capable of adapting themselves to drought than the others. Hence, perceived vulnerability is associated with production or farming mode.
Keywords:
Authors
H. Shabanali Fami
Faculty of Agricultural Economics and Development, University of Tehran, Karaj, Islamic Republic of Iran.
S. Azizi
Faculty of Agricultural Economics and Development, University of Tehran, Karaj, Islamic Republic of Iran.
A. Alambeigi
Faculty of Agricultural Economics and Development, University of Tehran, Karaj, Islamic Republic of Iran.
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :