Explaining Status of Entrepreneurship Indicators and Predicting Them in Rural Residences (Case Study: Ravansar Township)

Today, entrepreneurship is one of the most important strategies for the development of local communities that in order to develop it, basic studies in this field are essential. Given the importance of entrepreneurship in the economic and social development of today's societies, it is important to explain the status of entrepreneurial indicators among villagers, as well as identify factors that can be effective in strengthening entrepreneurial indices. The present quantitative study, conducted via descriptive-analytical method, is aimed at investigating and assessing the state of entrepreneurship indicators and identifying factors affecting those indicators in rural residences of Ravansar Township. The data gathering tool was a questionnaire. The statistical population of the study consists of all heads of rural households in Ravansar Township as 5668 individuals. To achieve the research objectives, comparison tests, frequency distribution table, Pearson correlation coefficient and Spearman and multivariate regression were used in SPSS software. The results regarding enjoyment of heads of households from the entrepreneurship indicators indicated that the degree of enjoyment of 39.2% of the participants were at low and very low levels, 45.5% of them were at the moderate level, and about 15.3% of them were at high and very high levels. All in all, the mean calculated for villagers’ enjoyment of entrepreneurship indicators was about 2.74% which is a level lower than the moderate one. The results of multivariate regression indicated that five identified variables could explain about 70% of the variance of entrepreneurship indicators in the studied area. The identified variables and the explained percentage of each of them are as follows: socioeconomic status (0.391), access to facilities and equipment (0.315), social capital (0.244), performance of management institutions (0.240), and ownership of capital resources (0.191) respective to their significance. Results the relationship between entrepreneurship indices and the variables studied showed in among the 11 variables studied, the relationship between entrepreneurship and gender variables; Internet access, age, household size, and distance to essential centers were not statistically significant and the mentioned variables have not related to entrepreneurship.