Economics and Marketing
ُSeyyed Mehdi Hosseini; Amir Dadrasmoghadam; Alireza Karbasi; Ahmad Vandaki
Abstract
Identification Risk Factors on Saffron Producers in Qaenat by Genetic function Algorithm AbstractRisk in agriculture has a significant impact on agricultural production, and farmers' risk to household economies has an impact on the economy of society. Hence, identification of important factors and determinants ...
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Identification Risk Factors on Saffron Producers in Qaenat by Genetic function Algorithm AbstractRisk in agriculture has a significant impact on agricultural production, and farmers' risk to household economies has an impact on the economy of society. Hence, identification of important factors and determinants affecting farmer risk management is of particular importance. The aim of this study to identify the factors affecting the risk of saffron Qaenat. The statistical sample was collected by using random sampling method from 120 saffron makers of this city in 2017. The results showed that there were positive relationships between 44 factors, yield factors, irrigation, sales time, expert guidance, water quality, younger seed, and money savings with saffron risk factors. Also, the factors of diversification Activities, dispute settlement, total sales, the cost of buying onions with the risk of saffron. In other words, ten fundamental factors were identified using the method of approximation of the genetic algorithm function. The results of the estimation with logit model also showed that sales time and money saving have a significant effect, but other variables in logit regression are not significant. In this regard, it is suggested that, in order to reduce the risk management of the saffron, experts should be promoted and the differences between saffron producers minimized, as well as by increasing the sales and saving time, the risk management of the saffron reduced.Keywords: Risk, Saffron, Genetic Function Algorithm, Logit
Fatemeh Rastegaripour; malihe sheybani
Abstract
Climate change is one of the most serious environmental challenges and its long-term effects can have serious economic, social and environmental consequences. The agricultural sector is one of the vulnerable parts in terms of climate change. In this regard, this study aimed to investigate the factors ...
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Climate change is one of the most serious environmental challenges and its long-term effects can have serious economic, social and environmental consequences. The agricultural sector is one of the vulnerable parts in terms of climate change. In this regard, this study aimed to investigate the factors affecting the adaptation strategies by saffron farmers Torbat-e Heydarieh using stratified random sampling method and logit model and five-part questionnaire. Data were collected by completing 380 questionnaires from saffron farmers in Torbat-e Heydarieh in 2018. The descriptive results of the study showed that most saffron farmers believe in increasing temperature, reducing rainfall and the emergence of drought and frostbite. Reducing water supply, reducing yields of saffron, reducing economic efficiency, unemployment and migration are among the consequences of climate change in Torbat-e Heydarieh. Also, based on the results, 63% of saffron farmers are willing to use adaptation strategies. The results of the Logit model estimation show that the variables of agricultural experience, land size, access to credit, extention services, media exposure and education affect the likelihood of choosing adaptive strategies. However, the variables of mechanization level and side occupation did not have a significant effect on the likelihood of choosing compatibility strategies. Therefore, government policies should provide the bank with confidence in providing bank facilities to saffron farmers who provide saffron farmers with the ability and flexibility to manage water resources, soil and other inputs in response to climate change.
