rural employment

Purpose- Villages are full of new and undiscovered opportunities that can be explored in a timely manner to create opportunities and new businesses for the villagers. In this regard, those approaches are sustainable that, due to changes in technology and the market, constantly assess market and technological needs and provide a more appropriate employment model. To this end, development through business clusters has recently been considered by economic and industrial policies. Design/methodology/approach- The main purpose of the study was to investigate factors affecting rural tourism cluster development via a quantitative approach.  The statistical population consisted of two groups of experts in Hamadan province with 21 individuals and 360 rural households. A total of 185 rural households were randomly selected using the Krejcie and Morgan table. This research was an applied research that investigated the contribution of each independent variable in explaining the dependent variable (rural tourism cluster development) using structural equation modeling through Smart PLS6 software. Findings- The results showed that in the structural model of research, the highest effect (β=0.420) belonged to institutions on rural tourism development and the relationship was positive and significant. In total, 56 percent of the dependent variable of tourism development in Ashtaran village is explained by four factors: institutions, tourism infrastructure, economic capacities and tourism services.

Purpose-The effects of tourism on rural employment in the village of Varkāneh in Hamedan County, Iran were investigated. Rural tourism is one of the practical solutions to solve the problem of employment in these areas. This industry with its special dynamics can have major effects on the economic, social and environmental situation, especially at the local level.Methodology-The study is an applied correlational-descriptive study using a quantitative approach and a survey methodology. The research population was composed of 250 households out of whom 148 people were sampled by simple randomization. The sample size was determined by Krejcie and Morgan’s table. The data collection instrument was a questionnaire whose items were arranged in three sections. Data were analyzed by path analysis and structural equation modeling using the WarpPLS software package.Findings-The results show that the variables of economy, resources, occupation, agriculture, social capital, and welfare have directly influenced employment. The strongest impact on rural employment has been related to economy with a path coefficient of 0.364. In total, 56 percent of the dependent variable (increase in rural employment) in Verkane village is explained by five factors of economic effects, infrastructure and resources, agricultural effects, social capital, and social welfare.Originality/value-Tourism, through the development of infrastructure such as the development of residences, transportation, shops and public places, telephone and internet, and infrastructures such as bridges, roads and mosques, has led to employment growth in the studied area. Therefore, one of the solutions for tourism development is to create tourism infrastructures in rural areas in such a way that this will lead to an increase in the number of tourists. The results of this research can help to plan for the development of tourism in rural areas and especially to solve the problem of employment in these areas.