主题：The Dynamic Effects of Different University-Industry Collaborations on Firm Productivity：Evidence from China Micro-Big Data
In this study, we empirically evaluate the dynamic effects of different university-industry collaboration on firms’ TFP, and the potential pathways through which those effects are exercised. A unique manually collected big dataset in China is adopted in empirical analysis, which matches the China scholars and patents information at micro-level. We find that the higher tech-contents in R&D collaborations and more diverse knowledge in research collaborations are much more critical in promoting TFP, compared with the intensity of different collaboration types (i.e., number of co-patents and co-publications). Moreover, research collaboration exhibits a substantial dynamic and persistent impact on TFP. On the contrary, the patent-oriented collaboration mainly has a significant immediate impact, but the dynamic effects diminished dramatically over time. More importantly, the results also indicate that, compared to research collaboration, patent-based collaboration is more likely to facilitate TFP through the internal innovation. In addition, the effects of different types of university-industry collaboration on productivity are disproportionately greater in larger companies. However, high-tech firms benefit more from research collaboration, which the R&D collaboration contribute more to the traditional sectors.
Dr. Jing Xu earned her Ph.D. in Economics from Georgia Institute of Technology in Aug. 2021. Her research interest is human capital, corporate innovation, industrial organization, and household finance. She has several working papers under revision. She also holds a master’s degree in Financial Engineering from University of Illinois at Urbana-Champaign and a bachelor’s degree in Finance from Shanghai University.
时间：2022.09.29 (周四) 13:30-14:30