درخت حوزه‌های تخصصی

Purpose- Nowadays, the smart growth approach plays a significant role in sustainable rural development. This approach seeks to improve the quality of human life and respond to socio-economic, environmental and physical problems and issues and can pave the way for rural management in order to make optimal use of facilities and solve rural problems. The purpose of this study is to identify and analyze the drivers of the effect of smart growth approach on sustainable development of rural settlements in Jiroft County. Design/methodology/approach- This study is applied research and it is descriptive-analytical in terms of nature. Data has been collected through documentary and field study. To extract the key drivers of the effect of smart growth approach on sustainable development of rural settlements in Jiroft county, a questionnaire has been prepared in the form of a Micmac questionnaire and distributed and completed among the sample community. 36 questionnaires were considered for rural experts, relevant organizations. The data analysis and structural analysis of the effect of smart growth approach indicators on the sustainable development of rural settlements were conducted using Micmac software. Finding- The results showed that among the 57 studied factors, 14 key effective drivers were identified that according to the high score of direct and indirect effect, factors such as utilizing existing infrastructure to increase villagers' employment and income, (direct (+10) indirect (+7205), improving land and housing prices in rural areas, direct (+9) indirect (+6959), villagers' satisfaction of increasing rural relations with outside (city and other villages), direct (+8) indirect (+8356) have the most effect compared to other drivers.

Purpose - Achieving balanced development and spatial justice with much emphasis on competitive advantages has been constantly the main concern among planners and policy-makers to reduce inefficiency, inequality, polarization, and fragmentation in the spatial structure of different countries. Fulfilling such goals demands the knowledge of local potentials and the way to exploit them in a correct manner. Therefore, this study aimed to identify competitive advantages and levels of living in the study area, and then assess the effective drivers of balanced regional development (BRD) based on local competitiveness using future studies. Design/methodology/approach- An analytical-exploratory applied method was used to reflect on the rural areas and the researchers working on regional planning in Ardabil Township, Iran, were the statistical population. The sample size was thus determined to be 30 individuals using the snowball sampling method (via theoretical saturation). The data were also collected by a Delphi questionnaire, library method, documents, statistics, and initiatives. To analyze the data, Micmac software, the Geographic Information System (GIS software), Microsoft EXCEL, and the Morris method were employed. Finding- Analyzing the research findings associated with the variables as determinants with direct influence showed that among 23 variables in this study, 13 cases were within direct influence-dependence scope or condition but only 12 variables prioritized respectively as policy stability, executive regulations/procedures, price stability and predictability and intervention logic, monopoly prevention, unfair concessions or rents and competitions, removal of administrative barriers to business through delegation approach, effective deterrence of criminal laws and prosecutions in the judicial system, innovation/initiative flow, prevention of biased perceptions of laws by relevant stakeholders, distribution system and marketing status, effective market demand, administrative procedures and business information transparency, willingness to buy foreign goods, as well as auditing and taxing regulations/procedures as determinants had the highest influential power, that is, they constituted the drivers of BRD. Research limitations/implications - Among the most important limitations of the present study was no access to the statistics of all cases and the unwillingness of a number of executive organizations and bodies in Ardabil Township to cooperate. Furthermore, the pivot strategies in this research were established based on local development and BRD strategies. Practical implications - To meet the objectives of BRD planning in the rural areas of Ardabil Township, the key role of the 12 main variables mentioned here should be taken into account. Such variables have high influence and low dependence on BRD improvements in the study area and they are of top priority in planning for BRD based on local competitiveness in the rural areas of Ardabil County, Iran. Originality/Value - Little research has thus far assessed the effective drivers of BRD based on local competitiveness using future studies. Amongst the advantages of the present study, the comprehensiveness and impediment of its research criteria stand out.

Purpose- Owramanat County in Kermanshah province with 14 tourism regions, is one of the best tourist destinations of Kermanshah province, in which the tourism activists have faced challenges during the period of the outbreak of the Covid-19 pandemic. The purpose of the present study is to evaluate and analyze the resilience of rural tourism and identify the key drivers affecting it in the face of Covid-19 pandemic in Owramanat County. Design/methodology/approach- the present applied, quantitative study has been conducted with a combined approach (combination of descriptive-analytical and exploratory methods). The questionnaire method was used for data collection and its validity and reliability have been confirmed by observing scientific principles. In order to achieve the purposes of the study, the opinions of 150 people from the local community active in the field of tourism were used to evaluate the resilience, and the opinions of 30 experts were used to identify the primary factors affecting the resilience and also the views of 25 experts were taken into consideration in order to identify the key drivers affecting the resilience of rural tourism. The SPSS and MICMAC software were used to analyze the collected data. Findings- The research findings showed that, the average of four variables including local government budget, environmental knowledge, community welfare, and social support system as the main components of the resilience of rural tourism were 1.757, 2.358, 1.808, and 2.295 respectively and have been significantly lower than the base average. The overall assessment results showed that the calculated average with a value of 2.014 has been significantly lower than the medium level. The results also showed that, among 17 factors affecting the resilience of tourism, 5 factors of government financial support, financial capital, sanitary equipment, infrastructural facilities and disease control are the most effective key drivers on resilience. Originality/ value- Evaluation and analysis of the resilience of rural tourism in the face of Covid-19 pandemic with an approach of presenting the key indicators and variables in this field and also identification of key drivers affecting the resilience of rural tourism have received less attention from researchers and this proves the originality of the present study.

Purpose- The consequences of drought and the damages inflicted on the rural community, which are major challenges confronting rural communities to achieve sustainable development, mirror the poor resilience of farmers against this risk. Therefore, the main issue of the current research is to explore the factors affecting Pakdasht farmers' drought resilience. Design/Method/Approach: This paper adopts a descriptive-analytical research method. The data collection is based on library study analysis and field surveys. The main data collection instrument is a questionnaire completed by the subjects (n=381 farmers). Data analysis was conducted using SPSS software as well as t-test, regression, analysis of variance, the COCOSO technique and the COPELAND technique. Finding- The t-test was used to investigate the drought resilience status of villagers. The socio-cultural, psychological, and economic components, except for those related to the extent of damages, environmental factors and institutional performance, and the scale of civil and physical development in the region under study, were in a balanced and favorable condition, but the items of the institutional framework, institutional relations, and technological level and infrastructure were not desirable. The correlation between researches indices in the region is 0.747, meaning that mentioned indices can explain 74% of the variances. The result of the ANOVA test suggested that the villages of Pakdasht County were not significantly different in terms of the psychological index (Sig=0.085) of resilience. Informed by the findings of the COCOSO technique, the farmers of Filestan village are more drought-resistant than the farmers in other villages. Greater participation of people, diversity of economic activities, appropriate physical and civil development, technological advancement and more suitable infrastructure are some of the factors that contribute to the higher resilience of farmers in this village. According to Copeland’s method, the variables of education and awareness as well as the diversity of economic activities of the farmer's household ranked high in terms of importance. Originality/value- The results of this research can help organizations in charge of handling drought in the villages of Pakdasht to gain deeper insights into the existing conditions so that they can enhance the resilience of farmers during drought using the presented solutions. It also allows officials to diversify economic activities and promote complementary businesses as effectively as possible.