Kaiyao Wu | Econometrics and Finance | Research Excellence Award

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Prof. Dr. Kaiyao Wu | Econometrics and Finance | Research Excellence Award 

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.

Profile: Orcid

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

Xiaochen Xie | Econometrics and Finance | Research Excellence Award

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Dr. Xiaochen Xie | Econometrics and Finance | Research Excellence Award 

Renmin University | China

Dr. Xiaochen Xie is an Assistant Professor at the School of Finance, Renmin University of China, where he has served since August 2021. He concurrently holds research associate appointments at the China Financial Policy Research Center, the Institute of Public Finance and Taxation, and the Institute of Digital Economics and Taxation at Renmin University. Dr. Xie’s research integrates international trade, industrial organization, public economics, and urban economics, with a strong emphasis on firm dynamics, pricing behavior, trade policy, and market structure in global technology industries. His scholarship particularly addresses the complex interactions between trade liberalization, industrial development, and consumer welfare, often using structural and empirical approaches to uncover mechanisms shaping modern markets. Dr. Xie earned his Ph.D. in Economics from Pennsylvania State University in 2021, where his dissertation, Essays on Firm Entry and Pricing, was supervised by renowned economist Jonathan Eaton. He also holds an M.S. in Economics from the University of Wisconsin–Madison and dual bachelor’s degrees in Finance and Statistics from Peking University. His interdisciplinary training forms the foundation of his analytical approach to understanding global economic phenomena. His research has appeared in leading outlets, including the Journal of Economic Geography, and he maintains an active pipeline of working papers on export dynamics, optimal taxation, industrial policy, and global smartphone markets. Several of his papers are under review or revise-and-resubmit at prestigious journals such as the International Journal of Industrial Organization and the Journal of the European Economic Association. His work has received recognition, including the Outstanding Paper Award at the NCER-CCER Chinese Economy Conference in 2021. A frequent presenter at international conferences, Dr. Xie has delivered research at institutions such as Tsinghua University, Peking University, Fudan University, Zhejiang University, and at major meetings including the European Economic Association and EARIE conferences. He is also an active referee for top scholarly journals. At Renmin University, Dr. Xie teaches public finance, quantitative empirical economics, and structural methods, consistently earning exceptional teaching evaluations. He has secured multiple competitive grants, including NSFC and university-funded projects focused on tariffs, international tax policy, and fiscal capacity. Beyond academia, he previously worked in finance and investment analysis and has served as Vice President at Yuewei Capital. Born in Tianjin in 1992, Dr. Xie is fluent in Chinese and English and enjoys Xiangqi, soccer, and travel.

Profile: Google Scholar

Featured Publications

Chen, Y., Huang, T., & Xie, X. (2025). Place-based policies: First-mover advantage and persistence. Journal of Economic Geography, lbaf001.

Lu, W., & Xie, X. (2024). Trade, markups, and consumer welfare: Evidence from the global smartphone industry (SSRN Working Paper No. 4804811). SSRN. https://doi.org/10.2139/ssrn.4804811

Xie, X. (2021). Two essays on firm entry and pricing (Doctoral dissertation, The Pennsylvania State University).

Dariusz Siudak | Economics | Editorial Board Member

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Assoc Prof Dr. Dariusz Siudak | Economics | Editorial Board Member 

Lodz University of Technology | Poland

Associate Professor Dr. Dariusz Siudak is a distinguished scholar in management sciences whose academic journey reflects continuous advancement in research excellence, interdisciplinary expertise, and leadership in the field of management and quality studies. He holds a Habilitated Doctor degree (2020) in social sciences with a specialization in management and quality studies, awarded by the Wroclaw University of Economics and Business. Earlier, he earned his Ph.D. in economic sciences (2012) with honors, focusing on enterprise value migration in the Polish capital market, under the supervision of Professor Krzysztof Jajuga. His academic foundation began at the Warsaw University of Technology, where he completed both his bachelor’s (2002) and master’s degrees (2006) with outstanding distinction, specializing in management, marketing, and enterprise functioning within integrated European markets. Throughout his career, Dr. Siudak has served in several academic roles, beginning as a specialist and assistant at the Warsaw University of Technology before joining the Lodz University of Technology, where he progressed from Assistant Professor to Associate Professor and currently serves as Head of the Division of Economics and Finance and a member of the Management and Quality Studies Discipline Council. Dr. Siudak’s research expertise focuses on the relational perspective of organizations, complex networks in financial markets, system dynamics, artificial intelligence, machine learning, and value-based management. His contributions integrate advanced analytical methods, network theory, and computational intelligence to study value migration, interlocking directorates, and corporate behavior within dynamic market structures. He has successfully led and contributed to several national research projects funded by the National Science Center and the Ministry of Science and Higher Education, emphasizing corporate value migration and network-driven firm behavior. His scholarly output includes highly cited publications in prestigious journals such as Expert Systems with Applications, PLOS ONE, Complexity, Physica A, and Social Network Analysis and Mining. These works demonstrate impactful contributions to understanding financial network structures, company value dynamics, and market behavior modeling using machine learning and network analytics. A recipient of numerous scientific awards, including multiple Rector’s Awards of the Lodz University of Technology, Dr. Siudak has been consistently recognized for his research excellence, innovative contributions, and organizational achievements. His accolades also include first place in the NetMiner 20th Event competition and nominations for the esteemed Beta Award in financial management. Additionally, he serves as an Academic Editor for PLoS One and PLOS Complex Systems and contributes to editorial boards supporting global scientific dissemination. With an aggregate impact factor exceeding 21, Dr. Siudak continues to be an influential figure in advancing modern management science through interdisciplinary methodologies and network-based research.

Profile: Orcid

Featured Publications

Siudak, D. (2025). The dependency structure of the financial multiplex network model: New evidence from the cross-correlation of idiosyncratic returns, volatility, and trading volume. PLOS ONE, Published April 18, 2025.

Siudak, D. (2025). Unsupervised learning modeling of the impact of Black Swan events on financial network reconfiguration: New insights from the COVID-19 outbreak and the Russia–Ukraine war. Physica A: Statistical Mechanics and its Applications, 130277.

Siudak, D. (2024). Black Swan events in the financial market: A network approach [Data set]. Mendeley Data.

Siudak, D. (2022). The effect of self-organizing map architecture based on the value migration network centrality measures on stock return: Evidence from the US market. PLOS ONE, 17(11).

Siudak, D. (2022). A network analysis of the value migration process on the financial market: The effect of value migration network structure on stock returns. Expert Systems with Applications, 195, 116129.