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Showing 2 results for Agricultural Employment

Seyed Mojtaba Mojaverian, Foad Eshghie,
Volume 5, Issue 9 (4-2018)
Abstract

Providing people's feed requirement, raw materials for industry, employment and creating incomes is important; strengthening and developing the agricultural sector has a significant role in consolidating the economic foundations of developing countries; for this reason, the stability and sustainability of agricultural sector growth. For this reason, the stability and sustainability of the agricultural sector are among the main drivers of social stability and economic growth. The purpose of this study is to examine the relationship between the share of agricultural employment with the fear of entrepreneurship in the three categories of high economic growth, sustained economic growth, and unsustainable economic growth. Therefore, the panel data related to fears of failure rates and agricultural employment share in the years of 2008- 2017 for 15 countries and the Panel least squares method were used. The results show that there is an inverse relationship between the share of agricultural employment and the fear of entrepreneurial failure. Investigating the relationship between these three groups showed that there was no significant difference between them. To better understand the environmental factors governing the relationship between industrialization and entrepreneurship, re-sampling should be done. Based on the results, it is suggested that in the conditions of rapid structural changes and in countries with high agricultural share, more government guarantees are needed.

Taher Azizi-Khalkheili, Gholamhosein Zamani, Ezatollah Karami,
Volume 5, Issue 10 (7-2018)
Abstract

Optimal decision making is a prerequisite for job success, and decisions are influenced by motivations. This research was conducted to assess the optimal level of farmers' occupational decision making and the impact of job motivation and other factors on it by descriptive - correlational research and using a survey technique in Marvdasht Township of Fars province. The sample size (249 people) was determined by Mendenhall formula, which up to 307 people to increase research accuracy. A multi stage stratified random sampling method was used for sampling. The data gathering tool was a questionnaire whose validity was confirmed by the professors of agricultural extension and education and a pilot study was carried out to determine its reliability. Cronbach's alpha coefficient for research scales ranged from 0.71 to 0.86, indicating the accepted level of the measurement tool reliability. The results showed that farmers' attention to the optimal decision making criteria was moderate and all four types of job motivation had a positive and significant effect on optimal job decision making. Between the investigated criteria, the amount of hesitation in decision making and changing it has lower situation than the others. Moreover, one of the important factors in optimum decision making is the access of farmers to various information, especially meteorological information. According to the results, it is suggested that   authorities and experts pay more attention to different types of farmers' motivations, and to increase their knowledge and information about decision making subjects, provide them with appropriate solutions.


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