Investigating the Perceptions and Attitudes of Young People in Europe Regarding Entrepreneurship
Social Sciences; Economics
Abstract
The current dynamic context, driven by technological advancement, makes entrepreneurship a viable solution for creating one’s own job, and also contributing to the economic development of a country. The objective of this research is to investigate young Europeans’ perceptions regarding the perceived barriers and motivations in the decision-making process of becoming entrepreneurs, and to correlate these factors with entrepreneurial intention. To achieve this aim, Multiple Correspondence Analysis, Binomial Logistic Regression, and Classification Trees were applied. The dataset used for the analysis is based on Eurobarometer 513 – Social Entrepreneurship and Youth. After processing it in R Studio, the final dataset consists of 17 variables reflecting demographic aspects, as well as perceived barriers and motivations in the decision to become an entrepreneur. It includes 5,411 respondents from six European countries, selected to highlight cultural and macroeconomic differences. Multiple Correspondence Analysis led to the identification of respondent profiles, while Binomial Logistic Regression and Classification Trees confirmed the existence of the same factors explaining entrepreneurial intention.
Keywords
binomial logistic regression
classification tree
multiple correspondence analysis
AUC
confusion matrix
entrepreneurial intentions
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