درخت حوزه‌های تخصصی

Purpose: The purpose of this study was to evaluate the sustainable rural quality of life index in Iran during the period of 1991-2016 and to measure the effects of various government investments on this index. Design/methodology/approach: The data were collected from the Statistics Center, the Central Bank and the World Bank. The value of the quality of life indicator was calculated using the software Eviews during the course of the study. The effect of independent research variables including government investment in agriculture, education, health, and rural development using the ARDL model in Microfit software is estimated. Finding: The results of the model estimation in the short run indicate that every 1 percent increase in government investment in agricultural sectors was 0.55 percent, health and treatment 0.54 percent, education 31.3 percent, increase the quality of life respectively. But investment in rural development does not affect quality of life in the short term but investment in rural life does not affect in the short term. In the long run, every 1% increase in investment in agricultural sectors is 0.65%, health and treatment 0.64%, education 45.0% and 32% in rural development in improving quality of life and its sustainability respectively. Research limitations/implications: Access to statistics is very difficult and has been obtained through reviewing all budget rules for the research courses. Practical implications: Strategy for employment to villagers with the support of public policy, based on qualify for investment, jobs, and services in rural areas contributes to the strengthening of agriculture, the changes in agricultural production and natural resources, the creation of jobs in non-farm income and as a result, the increased demand for local agricultural and non-agricultural products. Originality/value: Considering sustainable factors in evaluating quality of life and the effect of government investment in rural life by the applied method are the advantages of this study that has not been studied in previous studies.

Purpose - Land subsidence is caused by natural factors and human activities around the world. Fars Province, located in the south of Iran, is subject to land subsidence due to the uncontrolled exploitation of groundwater, causing damages to the population and human settlements and also environmental, social and economic areas. Design/methodology/approach - The present research is descriptive in terms of describing land subsidence in the case study region, whereas it is also analytical as time series analysis techniques based on Radar Interferometry (InSAR) is applied to monitor temporal changes in subsidence in Darab and Fasa Plains, including 470 rural points. Using 8 ENVISAT ASAR images spanning between 2005 and 2010, nine Interferograms were processed. In the study area. Geographic Information System (GIS) is then used to study groundwater level decline at the well locations in a 24-year period (from 1991 to 2015). Findings - The results of the research confirm that there is a significant correlation between groundwater water level decline and land surface subsidence. Time series analysis of the processed Interferograms indicate the mean displacement velocity map, demonstrating the maximum subsidence rate of 25 cm/yr. The InSAR analysis reveal within the study area subsidence rate of 25 cm/year in 24 years period and locally exceeding 30 cm/yr in the last decade. This area of significant subsidence is limited in its spatial extent to the agricultural land and is partly influenced by the large-scale over-exploitation of groundwater resources in the region study. The temporal and areal relationships of subsidence and groundwater level data suggest that a significant part of the observed subsidence in the Darab region is caused by intense groundwater extraction which has led to widespread compaction within the upper parts of the up to 300m. Socioeconomic analysis and the subsidence hazard map show that 105523 people are generally at risk of subsidence, of 65068 who are at high risk. In addition, there are 2679 socioeconomic infrastructures such as public service at risk of damage by land subsidence. Research limitations/implications - Limitation in In SAR data access, especially for long-term data was one of the main limitations in land subsidence research and also in this research. Practical implications - Integrated water resource management and the observed extraction of groundwater could influence the subsidence rate in the regions exposed to land subsidence. Originality/value - This research will be important to provide vulnerability in regions with groundwater overexploitation.

Purpose - Examination and recognition of the processes and mechanisms governing the physical environment of villages and the factors of rural landscape structure have its specific and unique characteristics. These valuable features are applicable in the research process, planning, and plans approaches, as well as in spatial planning to pay for the open environment and rural landscape development. Therefore, the main objective of the research is recognition of the landscape identity components in the tourism villages with valuable texture. These components can be used in the plans and texture restoration of the villages to have a sustainable landscape. Design/methodology/approach- The research is a descriptive-analytic study with the quantitative method by applying a questionnaire that completed by university’s professors and authorities of organs that are related to valuable textures with this important question: what are the landscape identity components and which one of them is so important? By identifying the components, extracting the items and operating the components, collecting and analyzing the data through the SPSS software, performing the ANOVA test and Tukey's test, the components of landscape was identified. These components are readability, vitality, beauty, security and safety, diversity and variety, belonging, accessibility, cultural history, semantics, visual proportions, and physical quality, social, economic, and environmental. Finally, their significance has been determined relative to each other. Finding- The main hypothesis was the importance of the economic (functional-activity) and perceptual components that are based on the findings of the research which ultimately have been ranked in the Tukey’s test table based on the importance of ranking. The ten components in the second column of the components are the most important and the three components in the first column are less important components and two common components are in the first and second columns. The results showed that the economic component (performance-activity) was the most important of all with an average value of 2.61. Within the perceptual components; the historical-cultural component with an average value of 2.55 ranked after the economic component (first rank) and social component (second) as the third important component and the average value of social component was obtained 2.55, so it can be said that the hypothesis was confirmed. According to the results, to have a sustainable perspective for the future, all these components should be considered more prominently in the plans and projects than in the past. While the same research has already not been done on landscape identity in villages, then this research can be the beginning of development and applied research in rural regions.