Corruption Shock in Mexico: fsQCA Analysis of Entrepreneurial Intention in University Students

Abstract

Entrepreneurship is the basis of the production network, and thus a key to territorial development. In this line, entrepreneurial intention has been pointed out as an indicator of latent entrepreneurship. In this article, the entrepreneurial intention of university students is studied from a configurational approach, allowing the study of the combined effect of corruption perception, corruption normalization, gender, university career area, and family entrepreneurial background to explain high levels of entrepreneurial intention. The model was tested with the fsQCA methodology according to two samples of students grouped according to their household income (medium and high level: N = 180; low level: N = 200). Stress tests were run to confirm the robustness of the results. This study highlights the negative impact produced by corruption among university students’ entrepreneurial intention. Furthermore, the importance of family entrepreneurial background for specific archetypes like female, STEM, and low household income students is pointed out, as well as the importance of implementing education programs for entrepreneurship in higher education, and more specifically in STEM areas. Policies focused on facilitating the access to financial resources for female students and low household income students, and specific programs to foster female entrepreneurship, are also recommended.

Impact of digitalization on clean governance: An analysis of China’s experience of 31 provinces from 2019 to 2021

“…The results show that there are six condition combinations and four configurations between the government integrity effect and the level of open data. The total consistency of variables is 0.6013, indicating that 60.1% of the four configurations have a good honesty effect on provincial governments, and the total coverage is 0.8879, indicating that the combination of six conditions can cover 88.79% of explanatory variables, which also indicates that the conditional variables selected in this paper have a strong explanatory power on the honesty effect of provincial governments, see for details Castelló-Sirvent and Pinazo-Dallenbach (2021) . The overall consistency and middle coverage of variables are both higher than the critical value, indicating the validity of this research analysis, and also proving the validity of our research hypothesis that “the degree of government data opening is positively correlated with the honesty effect to a certain extent.” Based on the analysis results, we divided the conditional variable configuration of provincial government integrity effect and open data level into four models.…”

“…When fsQCA3.0 software is used for analysis, each conditional variable and result is regarded as an independent set, and each case has its relative score in these sets, which requires a data standardization process. In this paper, the direct standardization method was used to convert the data into relative scores of fuzzy sets (for Further Understanding consult; Castelló-Sirvent and Pinazo-Dallenbach, 2021 ). The full standard was set at 0.95, the intersection calibration standard at 0.5, and the complete non-membership calibration standard at 0.05.…”

The influence of Twitch and sustainability on the stock returns of video game companies: Before and after COVID-19

“…In the absence of previous research, empirical calibration using percentile divisions of the sample is recommended ( Crilly, 2010 ). In this case, the 10th and 90th percentiles were established as thresholds for full non-membership and full membership, respectively, while the 50th percentile was used as the crossover point, as described by Miranda et al, 2018 , Olaya-Escobar et al, 2020 , Castelló-Sirvent and Pinazo-Dallenbach, 2021 , and De Crescenzo et al (2021) , among others. Calibration was performed using the QCA package in R software ( Thiem and Dusa, 2013 ).…”