Review of Loan Payments to Farmers Iran in the Years Between 1370-1389 and its Relationship With the Added Value of the Agricultural Sector
Publish place: Second National Conference on Agricultural Engineering and Management, Environment and Sustainable Natural Resources
Publish Year: 1393
نوع سند: مقاله کنفرانسی
زبان: English
View: 650
This Paper With 10 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
MEAENRS02_059
تاریخ نمایه سازی: 16 خرداد 1394
Abstract:
One of the most important challenges of agriculture in most countries, including Iran, a lack of capital. Therefore, the granting of loans and credits in order to finance the farmers ' requirements can be effective role in agricultural production and productivity improvement have. With such an approach in this article first, the process of granting loans to farmers in Iran during the payment period 1370 – 1389 examined at least squares method and effect of this two-stage VAT credits of agriculture was analyzed. The findings suggest that during the period of agricultural lending the uptrend and it is going to have a growth in accordance with the correlation test, these loans are a positive correlation with the added value of agriculture. Estimation of the model also indicated that by increasing the added value of a single agricultural credits, this section 4.1 is increased
Keywords:
Agricultural Credits , the Agricultural Added Value , the Method of Least Squares Two-Stage , Agricultural , Loan ,
Authors
Mehran Hekmatnia
Department of Agricultural Economics, Qaemshahr Branch, Islamic Azad University, Qaemshahr, Iran
mansoureh sadat razavi dorokhsh
Department of Agricultural Economics, Qaemshahr Branch, Islamic Azad University, Qaemshahr, Iran
golnaz ramezan tehrani fard
Department of Agricultural Economics, Qaemshahr Branch, Islamic Azad University, Qaemshahr, 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 :