Determinants factors for border and cross-border entrepreneurship in the Cali-Baja Region, Mexico–United States of America border.

Abstract

This paper presents a cross-sectional exploratory study of determinant factors for border and cross-border entrepreneurship in the Cali-Baja region, i.e., the binational region comprised by the state of Baja California in Mexico and the state of California in the United State of America. Regarding methodology, information from the National Population and Housing Census 2020 applied by the National Institute of Statistics and Geography of Mexico was used. Next, dependent and independent variables were established to set the research hypothesis. Then, using the STATA 14 program, the odds ratios for the dependent and independent variables were calculated using a logistic regression model. As a result, the research findings and the process of accepting or rejecting each research hypothesis are described. Diverse goodness of fit tests was also developed for the variables, obtaining that the logistic regression model better predicts cross-border entrepreneurship. For this undertaking, the goodness of fit test results was an Area Under the Curve of 0.66, a Positive predictive value of 9.91%, and a Hosmer-Lemeshow value of 1, among others. Finally, these results can help to strengthen international entrepreneurship through the creation of public and private sector programs based on the relevant probabilistic relationships presented.