This study examines the impact of school–enterprise cooperation on firms’ technological innovation in China. Using firm-level data from the World Bank Enterprise Survey, this paper investigates whether collaboration between firms and universities promotes innovation activities. A logistic regression model is employed as the main estimation method, complemented by ordinary least squares (OLS) analysis for robustness. The results show that school–enterprise cooperation has a significant positive effect on firms’ technological innovation. Firms engaged in collaboration with universities are more likely to introduce new products or technologies. The findings also indicate that firm size positively influences innovation, while firm age does not have a significant effect. These results remain consistent across different model specifications. This study contributes to the literature by providing micro-level empirical evidence on the relationship between school–enterprise cooperation and firm innovation in the Chinese context. It also highlights the importance of external collaboration as a mechanism for enhancing firms’ access to knowledge and resources. The findings offer practical implications for policymakers and managers seeking to promote innovation through strengthened university–industry linkages.
Almaida, A., Kadir, A. R., & Sobarsyah, M. (2023). Building bridges of knowledge: Investigating the nexus of strategic alignment in university–industry collaborations. Migration Letters, 20(6).
Audretsch, D., Belitski, M., & Fiedler, A. (2025). The knowledge spillover theory of entrepreneurship and innovation: Taking stock and new directions. The Journal of Technology Transfer.
Bu, F., Tian, X., Sun, L., Zhang, M., Xu, Y., & Guo, Q. (2025). Research on the impact of university–industry collaboration on green innovation of logistics enterprises in China. Sustainability, 17(11), Article 5068.
Chávez, M. Á. O. (2023). Innovation in Peruvian manufacturing industries: An analysis of the determinants of the goods and services introduced to the market. Journal Scientific Research World Economy EconConnections.
Fabiano, G., Marcellusi, A., & Favato, G. (2020). Channels and processes of knowledge transfer: How does knowledge move between university and industry? Science and Public Policy, 47, 256–270.
Fernández-Esquinas, M., Pinto, H., Yruela, M. P., & Pereira, T. (2016). Tracing the flows of knowledge transfer: Latent dimensions and determinants of university–industry interactions. Technological Forecasting and Social Change, 113, 266–279.
Hossen, M. A., Misbauddin, S. M., Molla, C., Nabi, M. N. U., & Sakib, M. N. (2025). Decoding university–industry collaboration: A SEM-ANN quadruple helix approach. Future Business Journal, 11.
Li, Y., Li, Z., & Liu, T. (2024). Does university-industry collaboration improve firm productivity? Evidence from China. PLOS ONE, 19(6), Article e0305695.
?ahin, M. T., Niemets, L., Y?lmaz, M., Kliuchko, L., & Varol, Ç. (2023). Contrasting innovation dynamics of knowledge-intensive business services in metropolitan areas. Geographical Studies, 59.
Thanh, T. T., Ha, L. T., Dung, H. P., Thang, D. N., & Ngoc, T. A. (2020). Determinants of marketing innovation among SMEs in Vietnam: A resource-based and stakeholder perspective. Innovative Marketing, 16(4).
Tian, M., Su, Y., & Yang, Z. (2021). University–industry collaboration and firm innovation: An empirical study of the biopharmaceutical industry. The Journal of Technology Transfer, 47, 1488–1505.
Zhu, Z., & Zhang, S. (2023). The impact of industrial-university-research collaborations on innovation output in China’s petroleum and petrochemical industry. Applied Mathematics and Nonlinear Sciences, 8, 3393–3406.
Mingjun, L., & Adenan, H. (2026). The Impact of School–Enterprise Cooperation on Firms’ Technological Innovation: Evidence from China. International Journal of Academic Research in Business and Social Sciences, 16(5), 869-879.
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