engleski

The relationship between types of entrepreneurial activities and GDP per capita

The paper investigates the assumption that a country's economic development depends on the capacity of its society to innovate and its capability to react to changes as foundations for creating higher living standards. Entrepreneurship seems to be an important determinant of economic development, with independent entrepreneurs and entrepreneurial employees in leading roles as innovators. Using the indicators of entrepreneurial activities from the Global Entrepreneurship Monitor (GEM) project, the aim of this paper is to analyze the significance and the intensity of impact of three different types of entrepreneurial activities: (1) total early stage entrepreneurial activity, (2) entrepreneurial employee activity (also known as intrapreneurship or corporate entrepreneurship) and (3) established entrepreneurial activity on real gross domestic product per capita in cross- national perspective. The influence of these entrepreneurial variables as independent variables on real GDP per capita as dependent variable is analyzed by methods of correlation and regression analysis. The regression diagnostics of the linear regression model has been carried out and it has been found out that the model is statistically significant and meets all the regression assumptions. Based on the ordinary least squares method for regression parameters estimation, the results of the analysis show that the impact of entrepreneurial employee activity on real GDP per capita is positive and about twice as strong as the negative impact of total early stage entrepreneurial activity on real GDP per capita. Also, entrepreneurial activity of individual employees is about 2.4 times stronger than the positive impact of established entrepreneurial activity on real GDP per capita.

economic development ; entrepreneurial employee activity ; Global Entrepreneurship Monitor ; Regression analysis ; testing the regression assumptions

Rad je objavljen u sklopu projekta: Kratkoročne financijske potpore Sveučilišta u Zagrebu 2013./2014. “Statističko modeliranje utjecaja odabranih indikatora razvoja na korištenje usluga u europskim zemljama u suvremenom globalnom okruženju“. Voditeljica: prof. dr. sc. Ksenija Dumičić (Broj 1760).