Zhi Wang | Econometrics and Finance | Best Researcher Award

Prof. Zhi Wang | Econometrics and Finance | Best Researcher Award

Institute of Global Development, Tsinghua University, Schar School of Policy and Government, George Mason University, United States

Dr. Zhi Wang is a distinguished economist renowned for his extensive contributions to international trade and global value chain analysis. He serves as a Research Professor and Senior Policy Fellow at the Schar School of Policy and Government, George Mason University, and is the founding director of the Research Center of Global Value Chains at the University of International Business and Economics in Beijing. Dr. Wang’s career spans over three decades, during which he has held pivotal roles in both academic and governmental institutions, including the U.S. International Trade Commission and the World Bank. His research has significantly influenced the understanding of trade in value-added and the dynamics of global production networks. Dr. Wang’s work is characterized by methodological rigor and practical relevance, making him a leading figure in his field

Professional Profile

Education

Dr. Wang earned his Ph.D. in Applied Economics with a minor in Computer and Information Sciences from the University of Minnesota in 1994. Prior to this, he completed an M.S. in Agricultural Economics and Rural Sociology at Ohio State University in 1990, where he received the Outstanding Master’s Thesis Award from the American Agricultural Economics Association. He also holds an M.S. in Agricultural System Engineering from the Chinese Academy of Agricultural Sciences, obtained in 1985. This strong educational foundation has equipped Dr. Wang with a multidisciplinary perspective, integrating economics, agriculture, and computational methods, which has been instrumental in his research on global trade and economic development.

Professional Experience

Dr. Wang’s professional journey includes significant roles in both academic and governmental organizations. He served as a Lead International Economist at the U.S. International Trade Commission, where he led research on global value chains and trade in value-added. His tenure at the Commission involved collaboration with international bodies such as the WTO, OECD, and World Bank. Dr. Wang has also held positions at the Bureau of Economic Analysis, U.S. Department of Commerce, and the Economic Research Service, U.S. Department of Agriculture. In academia, he has been a Senior Research Scientist at George Mason University and has held visiting professorships at institutions including Stanford University, Tsinghua University, and the Chinese University of Hong Kong.

Research Interests

Dr. Wang’s research interests are centered on international trade, global value chains, and economic modeling. He has made significant contributions to the measurement and analysis of trade in value-added, providing insights into the complexities of global production networks. His work often employs computable general equilibrium models to assess the economic impacts of trade policies and globalization. Dr. Wang is also interested in the economic integration of the Greater China area and has explored the implications of state capitalism on domestic segments of global value chains. His research is characterized by a blend of theoretical innovation and empirical application, addressing both academic and policy-oriented questions.

Research Skills

Dr. Wang possesses a robust set of research skills that underpin his contributions to the field of international economics. He is proficient in computable general equilibrium modeling, which he utilizes to simulate the effects of trade policies and economic shocks. His expertise extends to the development and application of input-output tables and the reconciliation of trade data discrepancies. Dr. Wang has also been instrumental in constructing and refining global databases, such as the APEC Trade in Value-Added database, enhancing the accuracy of international trade statistics. His methodological rigor and technical proficiency have established him as a leading expert in the quantitative analysis of global trade dynamics.

Awards and Honors

Dr. Wang’s contributions have been recognized through numerous awards and honors. He received the Sun Yefang Economic Science Award twice, in 2002 and 2022, acknowledging his outstanding research in economics. In 2014, he was awarded the Peikang Chang Development Economics Award. His service at the U.S. International Trade Commission earned him the Distinguished Service Award in 2012. Dr. Wang has also been a Fulbright Senior Specialist, offering his expertise in trade policy analysis at institutions in Taipei and Beijing. His selection as a Global Trade Analysis Project (GTAP) Research Fellow on multiple occasions further underscores his significant impact on the field.

Conclusion

Dr. Zhi Wang’s extensive career reflects a profound commitment to advancing the understanding of international trade and global value chains. His interdisciplinary approach, combining economics, computational modeling, and policy analysis, has yielded influential research that informs both academic discourse and practical policymaking. Dr. Wang’s leadership in developing analytical frameworks and databases has provided valuable tools for assessing the complexities of global trade. His recognition through prestigious awards and appointments attests to his standing as a leading economist. Dr. Wang’s work continues to shape the field, offering critical insights into the evolving landscape of global economic integration.

Publications Top Notes

  1. Title: An inter-city input-output database distinguishing firm ownership in the Greater China area during 2002–2017
    Authors: Wang, Yafei; Xu, Dingyi; Zheng, Heran; Yang, Peihao
    Journal: Scientific Data
    Year: 202

  2. Title: An interprovincial input–output database distinguishing firm ownership in China from 1997 to 2017
    Authors: Chen, Quanrun; Gao, Yuning; Pan, Chen; Zhang, Meichen; Zhou, Yuanqi
    Journal: (Not specified, likely Scientific Data)
    Year: 2025
    Citations: 7

 

Katarina Frajtova Michalikova | Econometrics and Finance | Best Researcher Award

Mrs. Katarina Frajtova Michalikova | Econometrics and Finance | Best Researcher Award

University Teacher at University of Zilina, Slovakia

Katarína Frajtová Michalíková, PhD., is an accomplished academic and researcher in the field of financial management, specializing in the application of mathematical and statistical methods to corporate finance, financial-economic analysis, and banking. With a focus on the integration of Industry 4.0 elements, such as artificial intelligence, the Internet of Things, and the SMART economy, her research aims to optimize business processes and improve operational efficiency in companies. Her academic contributions, leadership roles, and international recognition in the research community underscore her commitment to advancing the field of finance through innovative methodologies. As a member of various editorial boards and organizing committees, she has shown dedication to shaping the academic discourse within her area of expertise.

Professional Profile

Education:

Ing. Katarína Frajtová Michalíková completed her undergraduate studies at the University of Economics in Bratislava, earning a degree in Finance, Banking, and Investments in 2004. She then pursued a PhD at the University of Žilina, where she specialized in Economics and Business Administration, focusing on tax policy in small and medium-sized enterprises. Her education has equipped her with both theoretical knowledge and practical skills, laying the foundation for her extensive research in financial management and corporate finance.

Professional Experience:

Since 2007, Ing. Katarína Frajtová Michalíková has been an Assistant Professor at the Department of Economics at the University of Žilina in Slovakia. Throughout her career, she has focused on integrating advanced technological concepts into financial management research. She has also led the Finance and Financial Management team, mentoring students and shaping the direction of academic research within her department. Beyond her teaching role, she has been an active member of the editorial board of international journals and has served on the organizing committee for the prestigious “Globalization and Its Socio-Economic Consequences” conference, which attracts scholars from across the world.

Research Interests:

Ing. Frajtová Michalíková’s research interests lie at the intersection of financial management, corporate finance, and the application of mathematical and statistical models. She focuses on optimizing internal business processes and analyzing the effects of these processes on operational costs. Her recent research explores the integration of Industry 4.0 technologies, such as artificial intelligence, the Internet of Things, and the SMART economy, in financial management practices. Additionally, she investigates the empirical verification of financial theories through business data, striving to close the gap between theory and practice in the financial sector.

Research Skills:

Ing. Frajtová Michalíková is skilled in a variety of research methodologies, particularly in mathematical and statistical analysis. She is proficient in using software such as IBM SPSS, SAS, and R, which allows her to handle large datasets and perform complex financial analyses. Her research also involves using advanced technologies, including artificial intelligence and the Internet of Things, to develop new financial management strategies. She is highly experienced in empirical research, analyzing business data to verify theoretical models, and is also skilled in presenting her findings through academic publications, conference presentations, and collaborative research projects.

Awards and Honors:

Ing. Frajtová Michalíková’s research excellence has earned her recognition within the academic community. She has been an active reviewer for top-tier journals, including Administrative SciencesSustainability, and Risks, reflecting her standing as an expert in her field. She is also a member of the editorial board of an impact-rated international journal, further demonstrating her influence in academic circles. As a committee member of the renowned “Globalization and Its Socio-Economic Consequences” conference, she has contributed significantly to the academic community. Her strong academic output, evidenced by her Scopus and WoS H-index, and her continued leadership roles in academic conferences highlight her recognition and achievements in financial management research.

Conclusion:

Ing. Katarína Frajtová Michalíková’s outstanding contributions to financial management and her application of Industry 4.0 technologies make her a strong candidate for the Best Researcher Award. Her expertise, leadership, and international recognition clearly demonstrate her commitment to advancing the field. With continued interdisciplinary collaboration and public engagement, she could further enhance her research impact and contribute even more significantly to both academia and industry.

Publication Top Notes

  1. The economics of deep and machine learning-based algorithms for COVID-19 prediction, detection, and diagnosis shaping the organizational management of hospitals
    Authors: Lăzăroiu, G., Gedeon, T., Rogalska, E., Michalikova, K.F., Musova, Z.
    Year: 2024
    Journal: Oeconomia Copernicana
    Volume: 15(1), Pages: 27–58
    Citations: 10
  2. Effect of CSR implementation and crisis events in business on the financial management of SMEs
    Authors: Dvorský, J., Švihlíková, I., Kozubíková, Ľ., Frajtova Michalíková, K., Balcerzak, A.P.
    Year: 2023
    Journal: Technological and Economic Development of Economy
    Volume: 29(5), Pages: 1496–1519
    Citations: 12
  3. Cognitive Computing and Workplace Monitoring Systems, Generative Artificial Intelligence and Contextual Awareness Tools, and Multi-Sensory Augmented Reality and Spatial Data Mining Algorithms in Multi-Organizational Collaborative Environments
    Authors: Frajtova Michalikova, K., Frajt, T., Popescu, G.H., Rashid, M.
    Year: 2023
    Journal: Analysis and Metaphysics
    Volume: 22, Pages: 101–120
    Citations: 0
  4. Evaluation of personnel risk in the SMEs in the V4 countries
    Authors: Petrakova, Z., Frajtova Michalikova, K., Streimikis, J., Fialova, V.
    Year: 2023
    Journal: Journal of International Studies
    Volume: 16(4), Pages: 191–204
    Citations: 2
  5. Productivity Software Tools, Wearable Augmented Reality Devices, and Generative Artificial Intelligence and Immersive Remote Collaboration Systems in Virtually Simulated Workspace Environments
    Authors: Frajt, T., Frajtova Michalikova, K., Balica, R.-Ș.
    Year: 2023
    Journal: Contemporary Readings in Law and Social Justice
    Volume: 15(2), Pages: 179–197
    Citations: 1
  6. Deep Learning-Based Object Detection and Holographic Virtual Imaging Technologies, Mobile Biometric and Sentiment Data, and Digital Twin Simulation and Modeling Tools in the Metaverse Economy
    Authors: Michalikova, K.F., Ondrejka, R., Johnson, E.
    Year: 2023
    Journal: Linguistic and Philosophical Investigations
    Volume: 22, Pages: 247–263
    Citations: 1
  7. Retail Data Measurement Tools, Cognitive Artificial Intelligence Algorithms, and Metaverse Live Shopping Analytics in Immersive Hyper-Connected Virtual Spaces
    Authors: Zvarikova, K., Michalikova, K.F., Rowland, M.
    Year: 2022
    Journal: Linguistic and Philosophical Investigations
    Volume: 21, Pages: 9–24
    Citations: 25
  8. Quo Vadis, earnings management? Analysis of manipulation determinants in Central European environment
    Authors: Valaskova, K., Adamko, P., Michalikova, K.F., Macek, J.
    Year: 2021
    Journal: Oeconomia Copernicana
    Volume: 12(3), Pages: 631–669
    Citations: 44
  9. Deep Learning-based Sensing Technologies, Artificial Intelligence-based Decision-Making Algorithms, and Big Geospatial Data Analytics in Cognitive Internet of Things
    Authors: Blake, R., Michalikova, K.F.
    Year: 2021
    Journal: Analysis and Metaphysics
    Volume: 20, Pages: 159–173
    Citations: 32
  10. Autonomous vehicle decision-making algorithms, interconnected sensor networks, and big geospatial data analytics in smart urban mobility systems
    Authors: Goodman, C., Michalikova, K.F.
    Year: 2021
    Journal: Contemporary Readings in Law and Social Justice
    Volume: 13(2), Pages: 93–106
    Citations: 3