Despite the recognition of entrepreneurship as one of the main determinants of rural economic development, empirical research in this field is relatively sparse. Thus, there is little evidence on the role and function of rural entrepreneurs, the driving force behind the birth, survival and growth of rural enterprises. The present work aims at providing a contribution to filling this gap in knowledge. We present and analyse the results emerging from a questionnaire submitted to a sample of 123 rural entrepreneurs and businesses in a mountainous area of central Italy. In particular, we test for six hypotheses concerning the correlation between different factors, reflecting entrepreneur and business-specific characteristics, and the adoption of instruments of institutional assistance. Entrepreneur's and business's variables are related to (1) entrepreneurial human capital; (2) entrepreneur's local knowledge and social capital; (3) firm's size; (4) entrepreneur's age; (5) firm's age; and (6) busines's sector of activity. Empirical results largely support the importance of variables taken into consideration in explaining differences in the adoption of institutional assistance among businesses of the sample. In the light of our empirical findings, we also examine and propose potential policies for fostering entrepreneurship and the development of the rural region under study

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The nonlinearity of macroeconomic processes is becoming an increasingly important issue at both the theoretical and empirical levels. This trend holds for labor market variables as well. The reallocation theory of unemployment relies on nonlinearities. At the same time there is mounting empirical evidence of business cycles asymmetries. Thus the assumption of linearity/nonlinearity becomes crucial for the corroboration of labor market theories. This paper turns the microscope on the assumption of linearity and investigates the presence of asymmetries in aggregate and disaggregate labor market variables.The assumption of linearity is tested using five statistical tests for U.S. and Canadian unemployment rates and growth rates of the employment sectoral shares of construction, finance, manufacturing, and trade. An AR(p) model was used to remove any linear structure from the series. Evidence of nonlinearity is found for the sectoral shares with all five statistical tests in the U.S. case but not at the aggregate level. The results for Canada are not clear-cut. Evidence of unspecified nonlinearity is found in the unemployment rate and in the sectoral shares. Overall, important asymmetries are found in disaggregated labor market variables in the univariate setting. The linearity hypothesis was also examined in a multivariate framework. Evidence is provided that important asymmetries exist and a linear VAR cannot capture the dynamics of employment reallocation.