Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/240511
Authors: 
Ljunge, Martin
Stenkula, Mikael
Year of Publication: 
2020
Series/Report no.: 
IFN Working Paper No. 1368
Abstract: 
Intrapreneurs, entrepreneurial employees, constitute an important force behind innovations in the economy. Yet, what factors that promote intrapreneurship at the country level are an underdeveloped research area. This paper provides a seminal contribution regarding the methodological approach and the broad set of potential explanatory factors studied. Based on machine-learning techniques (LASSO and EBA methods), we investigate the influence of over 60 factors capturing institutional, demographic, cultural, and developmental factors. We find that the quality of government measured as impartiality, i.e., that the political institutions treat the citizens in a non-discriminatory fashion and do not favor some groups or individuals, and the level of human capital, measured as the average years of schooling, are the most important factors predicting the level of intrapreneurship across countries. Instrumental variable results support a causal interpretation. The findings emphasize the importance of policy to establish well-functioning and impartial institutions as well as to promote higher education.
Subjects: 
Intrapreneurship
Impartial institutions
Human capital
Machine-learning
JEL: 
L26
O30
E02
I2
O17
Document Type: 
Working Paper

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