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Showing 4 results for Rural Economy

Hamid Jalalian, Fariosh Namdari, Asghar Pashazadeh,
Volume 15, Issue 36 (6-2015)

Nowadays most of the countries have chosen the tourism as a development strategy for the rural areas. The Hajij village with worthy natural, cultural and anthropological heritage has known as a tourism destination in Kermanshah province and west of Iran. In this research, the effects of tourism are studied in this village. The methodology is descriptive-analytic method. The necessary data were collected through both library and field methods. The population of this study equals to 180 persons- based on Cochran Table- including the 130 residents, 15 local governors and 35 visitors were selected by simple random method. Research tools include a researcher made questionnaire which its validity was confirmed based on the collective opinion of the universities professor's and experts of executive organizations. The reliability of the questionnaire was calculated at 0.867 using Cranach’s alpha test based on 20 pretesting. Data analysis was held by factor analysis in SPSS 21 software. The research findings showed that there are six main factors among 30 variables which interpret 70 percent of the variance of the tourism effects the most important is physical- facilitator effects. Moreover, the positive effects were %65.8 and the negative ones were %34.2 based on factor analysis.
Hassan Afrakhteh, Mohammad Hajipur, Farhad Javan,
Volume 18, Issue 50 (3-2018)

The oil has gradually obtained a predominant place in national economy since 1950 and nowadays, is the main important resource securing country financial needs. Two questions are the base of this research regarding contradiction of oil rent and traditional economic sectors including agriculture and livestock rearing which always have been intensified. These two questions are as follows: what are the impacts of oil wealth distribution among different regions on Iran's rural economic structure? What has been the locational-spatial consequences of this oil wealth distribution on agricultural sector as a main element of Iran's rural economic structure? Research required data have collected based on document study on the country during 2006- 2011. Collected data are analyzed based on Shift-Share Analysis and Gibbs- Martin methods. Result show that there have not been any incentive in the local, regional and national management for strengthening rural economic structure using oil wealth. In addition, absence of industrial sector in rural economic structure with emphasis on agricultural sector both from policy making view and credit securing show that there have not been any logical sight on the political economic system facing rural space economy for development. 

Dr Hossein Farahani, Mis Mina Alvandi,
Volume 20, Issue 58 (9-2020)

The migration of young people and the aging of rural communities, for reasons such as poverty and unemployment, will create a lot of need for identifying new approaches to the survival of rural communities. Small business entrepreneurship has an important role in reducing poverty and, ultimately, rural development. However, this kind of entrepreneurship faces many challenges in terms of environmental, economic and ... The purpose of this research is to examine the challenges of entrepreneurship in improving entrepreneurship, creating employment and sustainable income through setting up small businesses. The present research is aimed at applying the field of observation and control, and in terms of the nature and method of descriptive-analytical. The statistical population of the study consisted of rural households living in Bijar. According to the census of 1395, the population of this city was 89,162 persons, which according to the distribution of 44% of the rural population and 56% of the city. There are also 283 rural villages in the seaside district, among which 12 villages have entrepreneurship and 244 of them are households using the modified Cochran formula. Data gathering method was library and field questionnaire (questionnaire). In this questionnaire, individuals were asked to identify the importance of each of the identified challenges in rural small business based on the options of this spectrum (high, high, medium, low, and very low) based on the Likert spectrum. Structural Equation Modeling (Factor Analysis) has been used for analyzing data in Amos software. The results of the research show that all challenges in the entrepreneurship of small businesses have been affected, but economic factors with factor load of 0.91 have the highest impact among existing challenges and the individual and social challenges with factor load are 0.23 and 0.28, respectively. The least load has been the factor.

Mohamad Eskandary, Ahmad Taghdisi, Yousof Ghanbari,
Volume 23, Issue 71 (12-2023)

Entrepreneurship can have many positive effects in rural communities on the one hand, they face economic problems, especially in the areas of employment, poverty and lack of income and On the other hand, they have high environmental capabilities. This research is based on information collected through documentary and survey methods and Aiming to enable the development of entrepreneurship in major sectors of economic activity It has been done in the villages of the central District of Boyer-Ahmad County. The results showed that despite the motivation for progress, hard work and high risk-taking of employees in major sectors of economic activity (Agriculture, Industry and Services), The general situation of their entrepreneurial variables with an average of 2.618, At 99% confidence level, it is below average. The results showed the feasibility of the sub-sectors of economic activity Four economic subsectors of medicinal plants, Aquaculture, mineral water resources and tourism, respectively by average 3.548, 3.691, 3.705 and 3.419, They have high potential for entrepreneurship development. Also showed the results of Pearson test The degree of correlation between independent variables (Production of medicinal plants, aquaculture, mineral water resources and tourism) and Research dependent variable (entrepreneurship), Has been positive and statistically significant Respectively with 0.519, 0.179, 0.398 and 0.533 values.

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