<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This study explores the innovation and entrepreneurship capabilities of college students who return to their hometowns, particularly within China’s rural revitalization strategy. By constructing a comprehensive framework, this paper examines four key dimensions that influence these abilities, employing logistic regression analysis to assess the impact of various factors. Notably, including policy support as a variable in Model 2 significantly enhances the Model’s explanatory power by 22.4%, a statistically significant finding (p &lt; 0.001). This underscores the critical role of policy support in bolstering students’ innovation and entrepreneurial skills. Further, through applying structural equation modeling, this research delves deeper into the nexus between policy, institutional environments, and the cultivation of core entrepreneurial competencies, offering insights into the external factors that facilitate competence development. The Model’s hypotheses are rigorously tested for fit, confirming the effectiveness of the proposed framework in understanding and supporting the entrepreneurial endeavors of returning college students.</p>
</abstract>

This study explores the innovation and entrepreneurship capabilities of college students who return to their hometowns, particularly within China’s rural revitalization strategy. By constructing a comprehensive framework, this paper examines four key dimensions that influence these abilities, employing logistic regression analysis to assess the impact of various factors. Notably, including policy support as a variable in Model 2 significantly enhances the Model’s explanatory power by 22.4%, a statistically significant finding (p < 0.001). This underscores the critical role of policy support in bolstering students’ innovation and entrepreneurial skills. Further, through applying structural equation modeling, this research delves deeper into the nexus between policy, institutional environments, and the cultivation of core entrepreneurial competencies, offering insights into the external factors that facilitate competence development. The Model’s hypotheses are rigorously tested for fit, confirming the effectiveness of the proposed framework in understanding and supporting the entrepreneurial endeavors of returning college students.

Research on the core ability cultivation mechanism of college students returning to their hometowns for innovation and entrepreneurship under the strategy of rural revitalization

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This study explores the innovation and entrepreneurship capabilities of college students who return to their hometowns, particularly within China’s rural...

Research on the core ability cultivation mechanism of college students returning to their hometowns for innovation and entrepreneurship under the strategy of rural revitalization

Publié en ligne: 03 mai 2024

Pages: -

Reçu: 06 avr. 2024

Accepté: 15 avr. 2024

DOI: https://doi.org/10.2478/amns-2024-0958

Mots clés
Logistic regression model, Structural equation modeling, Goodness-of-fit test, Innovative entrepreneurial ability

© 2024 Limin Liu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on the core ability cultivation mechanism of college students returning to their hometowns for innovation and entrepreneurship under the strategy of rural revitalization

Publié en ligne: 03 mai 2024

Pages: -

Reçu: 06 avr. 2024

Accepté: 15 avr. 2024

DOI: https://doi.org/10.2478/amns-2024-0958

Mots clésLogistic regression model, Structural equation modeling, Goodness-of-fit test, Innovative entrepreneurial ability

© 2024 Limin Liu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Mots clés
Logistic regression model, Structural equation modeling, Goodness-of-fit test, Innovative entrepreneurial ability