Shanghai University of International Business and Economics | China
Prof. Kaiyao Wu is a leading scholar in sustainable development economics and global value chain analysis, currently serving as a Professor at the School of Statistics and Data Science at the Shanghai University of International Business and Economics (SUIBE). He also holds several influential academic and professional roles, including Expert Committee Member and Digitalization Committee Member of the China Society of Foreign Trade and Economic Statistics, Director of the Global WiseTrade Digitalization Research Institute at SUIBE, and Evaluation Expert for the National Social Science Fund of China. With a rich academic background and extensive research experience, Prof. Wu has established himself as a prominent contributor to the fields of economic digitalization, global value-chain restructuring, energy–environment linkages, and sustainable development metrics. He holds a Ph.D. in Industrial Economics (2011) and an MBA (2007) from Shanghai Jiao Tong University, following a B.S. in Statistics from Xiamen University in 1995. After completing his doctoral studies at the Antai College of Economics and Management, he served on the faculty of Shanghai Finance University (now Lixin University of Accounting and Finance) from 2011 to 2019, while simultaneously completing postdoctoral research at Shanghai Jiao Tong University between 2012 and 2015. His international exposure includes a visiting scholar appointment at Colorado State University from 2017 to 2018, enriching his global research perspective. Since joining SUIBE in 2019, he has continued to advance impactful research and teaching. Prof. Wu has published more than 40 peer-reviewed papers in high-quality international and Chinese journals, including Energy Economics, Journal of Cleaner Production, Emerging Markets Finance and Trade, Environmental Science and Pollution Research, and Statistical Research, one of China’s top statistical journals. His publications address critical global issues such as carbon neutrality along global value chains, ESG impacts on corporate performance, energy efficiency, and the role of demographic shifts in shaping international production networks. He is also the author of six monographs and two textbooks that support both academic inquiry and practical applications, including The Global Value Chain Network of the Economy-Energy-Environment (3E) Coupling: Measurement and Application (2025) and Enterprise Data Processing with SAS EG (2023). Prof. Wu has led and contributed to major national research projects funded by the National Social Science Foundation of China, focusing on industrial correlation networks, dual-circulation system measurement, and advanced input–output analysis. His expertise further extends to statistical methods, global value chain statistics, market research, and data processing, and he teaches widely in these areas. Recognized for his outstanding mentorship, he has received multiple national-level instructor awards, underscoring his dedication to cultivating high-quality talent in statistics and data science.
Featured Publications
Duan, J., Li, Y., Shi, W., & Wu, K. (2025). Beyond the linear: Green technology innovation, moderators, and GVC upgrading. SSRN. https://doi.org/10.2139/ssrn.5333724
Xuan, S., Wu, K., & Deng, J. (2024). The effect of producer service agglomeration externalities on urban green innovation efficiency in China. Heliyon, 10, e25085. https://doi.org/10.1016/j.heliyon.2024.e25085
Wu, K., Chen, F., Anwar, S., & Liao, L. (2024). The impact of population aging on a country’s global value chain position: Unraveling the dynamics and mechanisms. Emerging Markets Finance and Trade, 60(?), 1–?. https://doi.org/10.1080/1540496X.2023.2300636
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Wu, K., Sun, C., Zhang, J., & Duan, J. (2023). Carbon neutrality along the global value chain: An international embedded carbon network analysis. Environmental Science and Pollution Research, 30, 122051–122065. https://doi.org/10.1007/s11356-023-30680-9
Du, L., Wei, M., & Wu, K. (2023). Information technology and firm’s green innovation: Evidence from China. Environmental Science and Pollution Research, 30, ???–???. https://doi.org/10.1007/s11356-023-29320-z
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Xuan, S., Wu, K., & Deng, J. (2023). The effect of producer service agglomeration externalities on urban green innovation efficiency in China. SSRN. https://doi.org/10.2139/ssrn.4502877