Geography and plan
Leila Soltani; Ali Akbar taghiloo
Abstract
Population growth, information technology changes, climate change, quantitative and qualitative changes in water and economic developments of the 21st century have greatly affected the rural economy. So that managing the rural economy against these changes and shocks requires recognizing the dynamic ...
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Population growth, information technology changes, climate change, quantitative and qualitative changes in water and economic developments of the 21st century have greatly affected the rural economy. So that managing the rural economy against these changes and shocks requires recognizing the dynamic capacity of its constituents. The research method is based on the purpose of the user and the type is descriptive and analytical. This research was conducted in 1398 with the aim of researching the sustainability of the rural economy of the central district of Urmia. The method of collecting is documentary and field information. The statistical population of the study was 9305 households from which 385 people were selected as a sample through Cochran's formula. The sampling method was simple random. Data collection tool was a questionnaire based on variables (agricultural economy, services and industry) in Likert scale. The results show that services and industry activities have contributed to the dynamics of the rural economy that have been somehow dependent on agriculture. Tourism and nature tourism in the services, handicrafts and leather and furniture industries are heavily dependent on farming and livestock activities, which, in the eyes of the people, drive the economy of the village. In these activities, production, cost and production diversification have made a major contribution to the sustainability of the rural economy, ensuring that the rural economy in the region is sustained.
Rural Development
Fahimeh Bazzi; shseyedmahdi Hoseyni; Mohammad Ali Turki Anything
Abstract
Dust storms known as 120-day winds in Sistan have caused the largest dust center in Nimroz city and the villagers with many problems in the field of economic, social, environmental, health and livelihoods have encountered. Therefore, the goal of this study is to investigate the economic effects of dust ...
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Dust storms known as 120-day winds in Sistan have caused the largest dust center in Nimroz city and the villagers with many problems in the field of economic, social, environmental, health and livelihoods have encountered. Therefore, the goal of this study is to investigate the economic effects of dust on the livelihood of villagers in Nimroz. The statistical population of the study was 895 households that based on krejcie and Morgan table, the number of statistical samples of 318 people was selected by cluster sampling and then using structural equation SMART PLS software and the data is analyzed. The results of the questionnaire data showed that economic analysis by a factor of 0/5 is most effective on rural livelihoods. Statements of this variable include the effect of dust on production costs in the agricultural sector with a coefficient of 0.79 has the greatest impact on the economic sector, followed by a decrease in rural incomes by a coefficient of 0.87, a decrease in land prices by a coefficient of 0/ 78, the amount of crop and garden production with a coefficient of 0.77 and finally agricultural investment with a coefficient of 0.55. Considering the greatest impact of dust on production costs in the agricultural sector, it is suggested that the government should put natural and unnatural preventive measures on the agenda to reduce dust, and also provide financial and non-financial support to farmers to help reduce the production costs of this sector.
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.
