I study science, technology, and innovation in China, particularly how to design science policies to accelerate scientific progress and commercialize scientific discoveries to drive economic growth. My research aims to examine how policy tools have contributed to China’s rise as a scientific superpower. This question is vital not only for empirically assessing the strengths and weaknesses of China's science policy framework but also for theoretically exploring the incentives that drive scientists. To support my research projects, I develop a set of indicators, algorithms, and datasets, which I make available to further advance studies on innovation in China. Although my research primarily focuses on China, it holds broader policy and theoretical relevance for many developing countries. China's approach to science, technology, and innovation can offer valuable insights for these nations in shaping public policies aimed at fostering innovation and promoting economic growth.
Three objectives summarize my research agenda:
• Buidling data and algorithm infrastructure for studies on innovation in China.
• Exploring the China’s competitiveness in global scientists labor market.
• Refining the selection and incentive mechanisms embedded in science polices that motivate Chinese scientists.