University of International Business and Economics, China
Kun Cai is a rising scholar in the field of international trade and global value chains, currently based at the Global Value Chains Research Institute of the University of International Business and Economics, Beijing. Her research integrates empirical and quantitative methods to investigate productivity growth, knowledge spillovers, and the structural evolution of trade networks. Her work is notable for addressing complex issues such as firm ownership heterogeneity and domestic value-added in exports. Kun has made significant contributions to the construction and application of China’s input–output databases, which have facilitated detailed analysis of production networks across cities and provinces. Her collaboration with well-regarded economists and participation in large-scale national research projects further reflect her growing academic stature. She has co-authored publications in high-impact journals and participated in international conferences such as the ASSA/CEANA Annual Meeting and the Global Value Chain Development Report Workshop. Her blend of rigorous quantitative research and policy-relevant insight makes her work particularly valuable in contemporary discussions around industrial upgrading and technological self-reliance. As a researcher, Kun demonstrates both depth and innovation in tackling current economic challenges through data-intensive and policy-engaged approaches. Her trajectory indicates strong promise for leadership in her field in the near future.
Professional Profile
Education
Kun Cai has a solid academic background in economics, marked by progressive specialization in trade and industrial organization. She is currently pursuing her Ph.D. in Economics at the University of International Business and Economics in Beijing (2019–2025), where she is conducting cutting-edge research on knowledge diffusion and productivity growth within production networks. Her doctoral work distinguishes itself by introducing firm ownership and upstream-downstream linkages into dynamic trade models, which are then empirically tested using advanced input–output data. Prior to her Ph.D., she obtained a Master’s degree in Economics from East China University of Political Science and Law (2015–2018), where she built her foundation in economic theory, quantitative analysis, and policy studies. Her undergraduate degree was completed at the Southwestern University of Finance and Economics (2011–2015), a well-regarded institution in China for economics and finance. This educational progression reflects both breadth and depth in economic knowledge, with a continuous emphasis on research and analytical skills. Through this trajectory, she has gained proficiency in dealing with complex economic data, academic writing, and policy interpretation, setting a strong foundation for a research-intensive academic career. Her academic training has equipped her with the tools necessary to contribute meaningfully to both scholarly literature and public policy discourse.
Professional Experience
Kun Cai’s professional experience revolves around academic research, data analysis, and large-scale economic modeling, primarily through her involvement with the Global Value Chains Research Institute. As a doctoral researcher, she has played critical roles in major national research initiatives, including a flagship project funded by the National Natural Science Foundation of China. In this role, she served both as a Research Assistant and Project Secretary. Her responsibilities included processing microdata from China Customs and economic censuses, updating provincial input–output tables, and aligning multiple economic datasets. She also coordinated project logistics such as organizing expert meetings, drafting reports, and compiling documentation for project deliverables. These experiences have enhanced her practical skills in data management, empirical modeling, and collaborative research. In addition to research execution, she has also demonstrated capability in academic publishing and international communication through her co-authored journal articles and conference presentations. Her hands-on work with input-output databases that distinguish firm ownership is a unique technical contribution, positioning her as a resourceful analyst in global trade and productivity studies. This blend of technical, administrative, and academic experience highlights her capability to handle multifaceted research tasks while contributing intellectually and operationally to complex, interdisciplinary projects.
Research Interests
Kun Cai’s research interests lie at the intersection of international trade, productivity growth, and knowledge spillovers within global and domestic production networks. Her primary focus is on understanding how ownership structures and supply chain positioning influence the diffusion of knowledge and technological progress. Her dissertation specifically adds depth to this domain by developing a dynamic general equilibrium model that integrates firm heterogeneity and upstream-downstream linkages to assess knowledge diffusion across three dimensions: country, industry, and firm ownership. She also has strong interests in the measurement and evolution of domestic value-added in the context of China’s export economy. Her work explores how industrial policies shape local content and supply chain integration, with implications for economic independence and industrial upgrading. Kun’s long-standing involvement with the development of China’s interprovincial and inter-city input-output databases reflects a methodological interest in large-scale empirical tools for economic analysis. These tools not only enable her research but also contribute to the global research community. Furthermore, she is engaged with the economic dimensions of the electric vehicle sector, particularly in evaluating localization, technology independence, and value creation. Collectively, her research addresses pressing questions in trade policy, innovation diffusion, and industrial development through a rigorous, data-driven lens.
Research Skills
Kun Cai possesses an impressive array of research skills, particularly in empirical economic modeling, database development, and statistical programming. Her work on interprovincial and inter-city input–output databases demonstrates advanced capabilities in data collection, processing, and integration. She is proficient in statistical software such as Stata, MATLAB, and R, which she uses for spatial econometric modeling, regression analysis, and visualization. These technical tools are instrumental in her quantitative analysis of productivity spillovers and value-added trade dynamics. Kun also has experience using Tableau for interactive data presentation, which enhances the accessibility and policy relevance of her research findings. Her academic work frequently involves complex data structures such as trade statistics, economic census data, and firm-level records, which she handles with accuracy and methodological rigor. In terms of research communication, Kun has co-authored peer-reviewed papers and book chapters, showing her skill in scholarly writing and collaboration. She has also presented her findings at international conferences, demonstrating her ability to convey complex concepts to academic and policy audiences alike. Her bilingual fluency in Mandarin and English enables her to operate effectively in both domestic and international research environments. Overall, her skill set aligns well with high-level academic research in economics and policy analysis.
Awards and Honors
Kun Cai has been recognized for her academic achievements through a series of competitive scholarships and awards during her doctoral studies. She was awarded the First-Class Academic Scholarship for the 2021–2022 academic year, highlighting her exceptional academic performance and research contributions. In addition, she received the Second-Class Academic Scholarship in three different academic years—2019–2020, 2020–2021, and 2022–2023—demonstrating consistent excellence in coursework and research engagement. These honors reflect her dedication, analytical ability, and high academic standing within her institution. Beyond scholarships, her inclusion as a co-author in several major research publications and presentations at internationally recognized conferences also signifies informal recognition of her capabilities by senior researchers and institutions. Her involvement in a nationally funded research project further testifies to the trust placed in her skills by principal investigators. These accolades are not just academic milestones but also indicators of her growing reputation in the field of global value chain research. They highlight her potential as a future leader in economics, especially in areas relating to industrial policy, trade, and knowledge diffusion. Taken together, her honors and achievements affirm her suitability as a strong candidate for awards recognizing excellence in research.
Conclusion
Kun Cai is a promising researcher whose work stands at the confluence of international trade, productivity, and policy-driven economic modeling. Her research is methodologically sound, conceptually innovative, and directly relevant to ongoing global discussions around industrial upgrading, localization, and knowledge transfer. Through her doctoral work and participation in national research projects, she has made valuable contributions to both academic literature and data infrastructure development. Her strengths include empirical rigor, policy relevance, and collaborative research experience, as evidenced by her journal publications, working papers, and conference presentations. While her current focus is centered on China, expanding her work to comparative or global studies could enhance her research scope and influence. Additionally, more leadership in independent research initiatives would further elevate her profile as a principal investigator. Nevertheless, her progress to date reflects strong commitment, intellectual maturity, and impactful scholarship. Given the quality of her work, the relevance of her research agenda, and the technical competencies she has developed, Kun Cai is a suitable and commendable nominee for the Excellence in Research Award. Her potential for continued growth and contribution to the academic community is evident, and she represents the kind of scholar that such recognition is intended to support.
Publications Top Notes
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Title: An inter-city input-output database distinguishing firm ownership in the Greater China area during 2002–2017
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Authors: Wang, Yafei; Xu, Dingyi; Zheng, Heran; Yang, Peihao
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Journal: Scientific Data
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Year: 2025