درخت حوزه‌های تخصصی

Purpose - The main purpose of this study is to evaluate the impact of the second homes on the physical and economic development of rural settlements in Hendeh Khaleh Rural District of Someh Sara County. Design/methodology/approach- The research method was descriptive-analytical. The main part of the data was obtained by a survey and interviews. The statistical population of this study is the villages of Hendeh Khaleh Rural District. Based on the estimation of the sample size using Cochran's formula, the sample size was detemined to be 385 of the heads of households. The independent variable (second home tourism) and the dependent variables (physical and economic development of rural settlements) for Hendeh Khaleh Rural District were analyzed in SPSS software. Findings - The findings of statistical tests show that second homes have caused physical and economic changes in Hendeh Khaleh Rural District. Second home tourism had influenced physical components, especially the indicators of “improvement of facilities and amenities”, and “increasing the construction”. The villages of Sofiandeh, Hendeh Khaleh, Now Khaleh Jafari and Akbari, Siah Darvishan, Lakesar had the highest number of built villas. The villages of Sheykhmahale, Kishestan, Lakesar, and Nargestan had the highest ranks in earning income from having houses to rent. The highest distance from the optimal limit regarding the physical components is for “increasing the construction” (1.89) and regarding the economic components is for “earning income from having the house to rent” (1.83). Practical implications - Providing a comprehensive review of all related literature, this study may help the researchers in choosing the appropriate method for planning the development of second home tourism as a strategy of development policies. Originality/value- This resaerch is the first study conducted about the impact of the second homes on the physical expansion in Hendeh Khaleh Rural District, which examined the relationship between the creation of the second homes and physical and economic development together.

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.