TY - JOUR
T1 - Econometric Modeling to Measure the Social and Economic Factors in the Success of Entrepreneurship
AU - Rubilar-Torrealba, Rolando
AU - Chahuán-Jiménez, Karime
AU - de la Fuente-Mella, Hanns
AU - Marzo-Navarro, Mercedes
N1 - Funding Information:
Funding: Research work of H. de la Fuente-Mella was supported by grant Núcleo de Investigación en Data Analytics/VRIEA/PUCV/039.432/2020 from the Vice-Rectory for Research and Advanced Studies of the Pontificia Universidad Católica de Valparaíso, Chile.
Publisher Copyright:
© 2022 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2022/7/1
Y1 - 2022/7/1
N2 - The purpose of this research is to develop a theoretical model of the entrepreneurial decision of individuals and to measure the effect of a group of variables on this decision. The effects of variables such as income, age, gender, level of education, and entrepreneurial skills are studied. The results show that innovation and entrepreneurship are linked to the personal characteristics of individuals and the social context in which they develop, thus making it possible to guide social policies for the development of the economy. Logit and probit functions were used to measure the effect of the variables on the entrepreneurship phenomenon. The main findings of this research indicate that the variables with a significant impact on the success of entrepreneurship and innovation are income, age, gender, skill, and the interaction between the opportunity and education variables.
AB - The purpose of this research is to develop a theoretical model of the entrepreneurial decision of individuals and to measure the effect of a group of variables on this decision. The effects of variables such as income, age, gender, level of education, and entrepreneurial skills are studied. The results show that innovation and entrepreneurship are linked to the personal characteristics of individuals and the social context in which they develop, thus making it possible to guide social policies for the development of the economy. Logit and probit functions were used to measure the effect of the variables on the entrepreneurship phenomenon. The main findings of this research indicate that the variables with a significant impact on the success of entrepreneurship and innovation are income, age, gender, skill, and the interaction between the opportunity and education variables.
KW - country development
KW - data science
KW - econometric modeling
KW - entrepreneurship
KW - innovation
UR - http://www.scopus.com/inward/record.url?scp=85132968831&partnerID=8YFLogxK
U2 - 10.3390/su14137573
DO - 10.3390/su14137573
M3 - Article
AN - SCOPUS:85132968831
VL - 14
JO - Sustainability (Switzerland)
JF - Sustainability (Switzerland)
SN - 2071-1050
IS - 13
M1 - 7573
ER -
