درخت حوزه‌های تخصصی

Purpose - The objective of the study is to assess the satisfaction rate of village residents from life quality as a factor affecting immigration, together with the sense of belonging as a factor preventing immigration, and the correlation thereof, among the residents of Khosrowabad village (statistical population=672) in Konani district, Kuhdasht county. Design/methodology/approach- The method adopted is descriptive-analytic. The sample collected by Cochran sampling method constitutes 262 residents. The data required in this study are obtained by questionnaire and the descriptive inferential statistics is applied for data analysis. Findings: The results reveal that the satisfaction rate of residents from life quality in Khosrowabad village is lower than that of the average. The satisfaction rate of males with 2.88% is higher than that of females with 2.85%. The regression analysis results indicate that the economic index with 0.244 β is the most effective on life quality. The analysis of the sense of belonging revealed that the rate of this variable is higher than that of the average and the psychological-tranquility index with 0.493 β is the most effective. As to the Spearman test, the correlation between life quality satisfaction and sense of belonging is significant at 99%. Research limitations/implications- Life quality is a multidimensional issue with various definitions and theories thereof. The villagers’ attitude towards life quality and its indexes is restricted. Originality/value- The attitude in this study towards such issues like life quality and sense of belonging is different and the study area is being exposed to this type of study for the first time.

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.