The qualitative comparative analysis of fuzzy sets (fsQCA) is a methodology to obtain causal configurations from data from specific cases. This method attempts to search for logical connections between combinations of causal conditions and a result, the result being paths that describe how combinations of causal conditions would cause the expected result.
Published in Chapter:
Relationship Between Innovation, Human Capital, Institutions, Entrepreneurship, and Economic Growth: A Comparative Analysis Using FsQCA
Miguel-Angel Galindo Martín (Universidad de Castilla-La Mancha, Spain), María-Soledad Castaño (Universidad de Castilla-La Mancha, Spain), and María Teresa Méndez Picazo (Universidad Complutense de Madrid, Spain)
Copyright: © 2021
|Pages: 16
DOI: 10.4018/978-1-7998-5036-6.ch009
Abstract
There is important literature that analyzes the relationship between entrepreneurship and economic growth. But it is also essential to consider the variables that influence entrepreneurship. In this sense, innovations, institutions, and human capital would be the main variables to consider, as they allow the entrepreneur to create new products, make them more competitive, or access new markets. At the same time, entrepreneurs establish the legal framework and the social climate to develop its activity, so innovations are generated and assimilated. But it is also essential to consider the degree of development and economic growth that countries present.