Volume 1, Issue 2 (1-2024)
Ame 2024, 1(2): 13-21 |
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Yeganeh H, Fouladzadeh M, Hajilidoji A, Ghasemi M, Hajipour S. (2024). Investigating Socio-Economic Factors Effecting on Rangelands Insurance Willingness by Exploitations of Maraveh Tappeh County in Golestan Province. Ame. 1(2), 13-21. doi:10.61186/ame.1.2.13
URL: http://ame.sanru.ac.ir/article-1-53-en.html
URL: http://ame.sanru.ac.ir/article-1-53-en.html
Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran
Abstract: (258 Views)
Extended Abstract
Introduction and Objective: Although grassland ecosystems play an important role in the country's economy, especially in the supply of red protein, the necessary investments and support in this field does not seen as much as it should be, one of the reasons which is the lack of mental peace from investing in this field. This peace of mind can be created with ecosystem insurance. For this purpose, in this research, we tried to investigate the factors affecting the acceptance of rangeland insurance by the operators of Maraveh Tappeh County.
Material and Methods: This research is practical-experimental in terms of collecting survey information as well as library documents. The statistical population in question is all the entitled grazing owners who have a grazing plan. The sample size was determined through Cochran's formula. In the questionnaires, various variables, including the economic-social of the users, awareness of promotional programs and other related questions were investigated. In this research, the nominal logistic regression model was used to investigate the factors affecting insurance demand.
Results: The results of the logistic model showed that the variables, the existence of promotional programs regarding rangeland insurance, participation in the implementation of rangeland plans, family expenses and livestock history had a positive and significant effect on the acceptance of livestock and rangeland insurance at the level of 1%. The variable of the existence of promotion programs at the level of 1% (Exp(B) = 9.839) has the greatest impact on the acceptance of rangeland insurance among the factors included in the logistic regression model. In this research, the presence of extension programs is a variable that has a positive effect on the probability of accepting rangeland insurance, that is, with an increase of one unit of the existence of extension programs, the probability of accepting insurance increases by 9.8%. Participation in the implementation of grazing projects also has a positive effect on the acceptance of insurance. With the increase of one unit of participation in the implementation of grazing projects, the probability of accepting insurance increases by 3.67%. Also, livestock farming experience has a positive effect on the acceptance of rangeland insurance in the region, and with an increase of one year of livestock farming experience, the probability of accepting insurance increases by 1.004%.
Conclusion: According to the general results of the research, it is suggested to hold promotion classes regarding risk transfer and examine different aspects of insurance under the conditions that the class leader is fluent in Turkmen Turkish language.
Introduction and Objective: Although grassland ecosystems play an important role in the country's economy, especially in the supply of red protein, the necessary investments and support in this field does not seen as much as it should be, one of the reasons which is the lack of mental peace from investing in this field. This peace of mind can be created with ecosystem insurance. For this purpose, in this research, we tried to investigate the factors affecting the acceptance of rangeland insurance by the operators of Maraveh Tappeh County.
Material and Methods: This research is practical-experimental in terms of collecting survey information as well as library documents. The statistical population in question is all the entitled grazing owners who have a grazing plan. The sample size was determined through Cochran's formula. In the questionnaires, various variables, including the economic-social of the users, awareness of promotional programs and other related questions were investigated. In this research, the nominal logistic regression model was used to investigate the factors affecting insurance demand.
Results: The results of the logistic model showed that the variables, the existence of promotional programs regarding rangeland insurance, participation in the implementation of rangeland plans, family expenses and livestock history had a positive and significant effect on the acceptance of livestock and rangeland insurance at the level of 1%. The variable of the existence of promotion programs at the level of 1% (Exp(B) = 9.839) has the greatest impact on the acceptance of rangeland insurance among the factors included in the logistic regression model. In this research, the presence of extension programs is a variable that has a positive effect on the probability of accepting rangeland insurance, that is, with an increase of one unit of the existence of extension programs, the probability of accepting insurance increases by 9.8%. Participation in the implementation of grazing projects also has a positive effect on the acceptance of insurance. With the increase of one unit of participation in the implementation of grazing projects, the probability of accepting insurance increases by 3.67%. Also, livestock farming experience has a positive effect on the acceptance of rangeland insurance in the region, and with an increase of one year of livestock farming experience, the probability of accepting insurance increases by 1.004%.
Conclusion: According to the general results of the research, it is suggested to hold promotion classes regarding risk transfer and examine different aspects of insurance under the conditions that the class leader is fluent in Turkmen Turkish language.
Type of Study: Research |
Subject:
General
Received: 2023/12/6 | Accepted: 2024/01/27 | Published: 2024/03/10
Received: 2023/12/6 | Accepted: 2024/01/27 | Published: 2024/03/10
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