Document Type : Original Article
Authors
1 Expert of economic, social and extension, Agriculture and Natural Resources Research Center of South Khorasan Province, Agricultural Research, Education and Extension Organization (AREEO), Birjand, Iran
2 Reseracher of forest and pasture, Agriculture and Natural Resources Research Center of South Khorasan Province, Agricultural Research, Education and Extension Organization (AREEO), Birjand, Iran
3 Expert of Agricultural and horticultural, Agriculture and Natural Resources Research Center of South Khorasan Province, Agricultural Research, Education and Extension Organization (AREEO), Birjand, Iran
Abstract
Considering the increasing importance of climate changes on agricultural production and the dependence of the yield of agricultural products on rainfall, especially for agricultural products, the use of weather information in the field of rainfall and temperature in the past few years seems useful. In order to investigate the long-term relationships between saffron yield, producer price, annual rainfall, annual average temperature and wind speed, Johansen-Jusilius co-accumulation method and Vector Error Correction Model (VECM) were used during 2010-2022. The results of estimating the long-term function of the model show that the yield of saffron is affected by Weather factors such as annual rainfall, wind speed, and average temperature and between them Rainfall have a Positive and significant impact on saffron yield, and the producer's price also affects the yield of this product. Therefore, there is a need to implement policies in this field so that farmers can be supported in obtaining a higher yield of this product by timely information about the weather conditions
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