Dr. Quanfei Zhang | Economics | Best Researcher Award
Ph.D. candidate at Shandong University | China
Quanfei Zhang is an emerging scholar with a strong academic background in management and economics, specializing in environmental economics and the intersection of digital technologies with economic development. His work focuses on the relationships between land resources, carbon emissions, taxation, and policy reforms in China, with a particular interest in how environmental and economic systems interact under institutional and technological change. He has already made significant contributions through published articles, working papers, and participation in national-level research projects.
Publication Profile
Orcid
Educational Background
He is currently pursuing a Master’s and Doctoral Joint Program at Shandong University, building on his undergraduate studies in management at Shandong University of Finance and Economics. During his academic journey, he has gained early exposure to research through the Youth Elites Project and progressively developed advanced expertise in econometric analysis, policy evaluation, and computational approaches to economics.
Professional Experience
He has engaged in teaching and research roles since his undergraduate years, serving as a teaching assistant for econometrics and software application courses and actively contributing to collaborative research projects. His professional experience includes empirical research on issues such as carbon emission efficiency, land resource mismatch, taxation policy, and corporate transformation under regional integration. He has collaborated with senior scholars and contributed to national research projects by managing data analysis, drafting reports, and producing working papers.
Research Interests
His research interests lie in environmental economics, fiscal policy, and regional integration, with a particular focus on the impact of institutional changes and policy frameworks on carbon emissions and firm behavior. He is also deeply engaged in the integration of advanced computational methods with economics, including the use of large language models and agent-based models to simulate complex socio-economic interactions. His work bridges traditional econometric analysis with cutting-edge approaches in artificial intelligence and machine learning.
Awards and Honors
He has received numerous scholarships and honors throughout his academic career, including national and provincial scholarships, as well as multiple recognitions as an outstanding student. His undergraduate thesis won first place at a major academic forum, and his competition papers have earned recognition in prestigious academic contests. He has also been awarded honors for academic excellence and leadership within his institutions.
Research Skills
He is proficient in a wide range of research tools and methodologies. His technical expertise includes econometric modeling, Difference-in-Differences methods, and machine learning applications. He is skilled in software such as STATA, Python, MATLAB, ArcGIS, and R, and has strong programming capabilities for handling large and complex datasets. His familiarity with multiple economic databases and spatial data formats further enhances his ability to conduct rigorous and innovative research. In addition, he actively participates in academic conferences, engaging with international scholars and presenting his work, which strengthens his academic communication and collaborative skills.
Publications
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The ‘Inverted U-Shape’ Impact of Digital Inclusive Finance on Corporate Carbon Emission Intensity: The Synergy of Digital Finance and Green Policies.
Year: 2023
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Bank-Enterprise Proximity, Digital Finance, and Corporate Digital Transformation.
Year: 2024
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Will Public Transportation Facilitate Digital Transformation for Enterprises: Based on the Quasi-natural Experiment of China’s Metro Opening.
Year: 2024
Conclusion
Overall, Quanfei Zhang demonstrates a strong academic foundation, an impressive record of research productivity, and a clear commitment to advancing knowledge in environmental economics and digital transformation. His interdisciplinary approach, combining traditional economic methods with modern computational tools, positions him as a promising researcher with the potential to make substantial contributions to the academic community and policy-oriented studies in economics.