Rural Development
morad keikhorsavi; Sahar Dehyouri; Seyed Mehdi Mirdamadi
Abstract
Modeling the levels of agricultural development is an effective tool in creating sufficient knowledge of the land and the spatial distribution of its development. Therefore, this study aimed to model the levels of agricultural development in rural areas of Hamadan and Kermanshah provinces in 1399-1400. ...
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Modeling the levels of agricultural development is an effective tool in creating sufficient knowledge of the land and the spatial distribution of its development. Therefore, this study aimed to model the levels of agricultural development in rural areas of Hamadan and Kermanshah provinces in 1399-1400. This research is quantitative in terms of applied purpose and data analysis, done in a survey manner. The study's statistical population was rural centers of Hamedan and Kermanshah provinces, which were studied using a stratified sampling method and proportional assignment of 666 farmers from 89 rural centers. The data collection tool was a questionnaire that confirmed the validity and reliability of the questionnaire. The combined Viktor-entropy method was used to measure the degree of agricultural sustainability in the studied rural areas. Arc-GISver10.5 software was used to model sustainable agricultural development levels. The conceptual model of the research was also confirmed using AMOSver24 software. The results show that the Khorramrud villages of Tuyserkan city and the Raheb village of Kaboudar Ahang city of Hamadan province had the highest and lowest sustainability coefficients. In general, the rural areas of Hamedan and Kermanshah provinces are similar in terms of sustainable agricultural development, and there is no significant difference. Also, according to the calculations, the studied villages were divided into seven levels, which are completely unstable in rural areas. It is not located at 15 unstable levels, relatively unstable at 28 villages, stable at 33 villages, relatively stable at 11 villages, stable at two villages, and not at a completely stable level.
Agri Eco.
Narges Rajabi Tehrani; Mohammad Mohammadi; Sahar Dehyori
Abstract
The purpose of this research was economic evaluation of green houses and the factors that affect their profitability in the Varamin plain. The type of this research is descriptive-correlation research that was conducted by using a survey method. The statistical population of the research consisted of ...
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The purpose of this research was economic evaluation of green houses and the factors that affect their profitability in the Varamin plain. The type of this research is descriptive-correlation research that was conducted by using a survey method. The statistical population of the research consisted of the beneficiary farmers of established and cultivated green houses in the Varamin plain. The sample size was 108 farmers. The sampling method was simple random sampling method. The main tool of this research study is a questionnaire that whose validity was verified by using a panel of experts and professors in the field of agriculture. The reliability of the questionnaire was assessed through a pre-test for which the Cronbach alpha was between 0.78 and 0.85 which is considered to be acceptable. The results of this research study show that the mean of the profitability index of cost benefit was 2.286 and thus there is a significant positive correlation between agricultural experience, the level of famer education, agricultural income, the total area of the green house, technical knowledge, using of information resources with the cost benefit profitability index. The results of regression analysis also indicated that the five variables of agricultural experience, agricultural income, the total area of the green house, technical knowledge, using of information resources well explain for 51.5 % of the changes in the cost benefit profitability index of the green houses located in the Varamin plain. Finally, it is recommended to improve the cost benefit profitability index by actions such as increasing the level of technical knowledge and farmers' access to and use of information resources.
