Prof. Xianhua Wu
Shanghai Maritime University, China
Research Areas: Teaching courses such as Statistics (undergraduate), Econometrics (undergraduate and postgraduate), and Frontiers of Input-Output Analysis (Doctoral), as well as courses like Big Data Management and Application, Risk Analysis, Emergency Management, and Shipping Economic Statistics
Brief Introduction: Chief expert of major bidding projects of the National Social Science Foundation. He/She has presided over and completed more than 30 vertical and horizontal projects, including major research programs, general projects, international cooperation and exchange projects, director's fund projects, and national soft science research program projects of the National Natural Science Foundation of China. In "Risk Analysis", "Annals of Operations Research", "Transportation Research Part D", "Ocean & Coastal. More than 160 papers have been published in journals such as "Management", "Journal of Management Sciences in China", and "Chinese Journal of Management Science". Eight books have been published (edited) by Springer Nature, Science Press, Higher Education Press, etc. The teaching and research achievements have won the First Prize of the National Teaching Achievement Award, the First Prize of the Jiangsu Provincial Teaching Achievement Award, the Second Prize of the Ministry of Education's Outstanding Humanities, Philosophy and Social Sciences Achievement Award, the Second Prize of the 16th Shanghai Philosophy and Social Sciences Outstanding Achievement Award, the 14th Ho Ying Dong Foundation University Young Teacher Award, and many other awards. Shanghai Leading Talent (2020), Third-level Talent Cultivation Object of Jiangsu Province's "333 Project" (2013-2015), Second-level Talent Cultivation Object (2016-2020, transferred out of Jiangsu in 2018), Selection and Cultivation Object of "Six Major Talent Peaks" (2013) Key Teacher of the "Blue and Green Project" of Jiangsu Provincial Department of Education (2006), one of the top 2% global scientists at Stanford University (2024).
Speech Title: The Synergistic Impact of the EU's Provision of Low-carbon Technical Assistance under the Carbon Border Adjustment Mechanism: A GTAP Model-Based Study
Prof. Xiongfeng Pan
Dalian University of Technology, China
Research Areas: Innovative economy and management, energy economy and management, Environmental economy and management
Brief Introduction:
Star of Science and Technology Cultivation in Dalian City
Innovative Talent of Higher Education Institutions in Liaoning Province
There is a shortage of local urban development talents in Dalian
The world's top 2% of scientists (published by a Stanford University team)
Highly cited Chinese researcher by Elsevier
Associate Editor of the International Journal of Climate Change Strategies and Management
Director of the Energy Economics and Management Branch of the Chinese Society for Optimization, Overall Planning and Economic Mathematics
Director of the China Technology and Economy Forum
I have presided over 3 national-level research projects and 21 provincial and ministerial-level research projects.
Speech Title: The influencing mechanism of population aging and sub-replacement fertility on carbon efficiency
Abstract: Europe is trapping in serious population aging and sub-replacement fertility condition nowadays, and facing challenges in the aspect of economic growth and carbon emissions. Aging rate and fertility rate prove to be connected with economic growth and carbon emissions, though the relationship is debatable. Related research has rarely focused on carbon efficiency, and ignored the spatial relationship and specific mechanism between aging rate, fertility rate and carbon efficiency. Thus, this paper studies the influence mechanism of aging and fertility rate on carbon efficiency from two perspectives: population flow and technological innovation. The dynamic spatial Durbin model combined with multi-level and multivariate mediation analysis is used to test the data of 29 countries in the European Economic Area from 1998 to 2021. The results show: 1) The effects of both aging rate and fertility rate on carbon efficiency are nonlinear (U-shaped); 2) Technological innovation, immigration and emigration are the mediators of the relationship between aging rate, fertility rate and carbon efficiency, and there are 2 paths; 3) Carbon efficiency, technological innovation, immigration and emigration have snowball and spillover effects that the situation of previous period will significantly affect the performance of the next period, and that of a local region will promote the performance of adjacent countries. The results refresh the EKC theory, and helps policymakers develop feasible policies to achieve the goals in the 2030 Agenda for Sustainable Development and Paris Agreement.
Prof. Jinhong Mi
Shanghai Maritime University, China
Research Areas: Data science, data mining technology and application, shipping big data analysis, macro finance, technology finance, network economics
Brief Introduction: Mi Jinhong, male, born on June 19, 1986, holds a doctoral degree and is a professor. Currently, he serves as the executive deputy director of the Institute of Shipping Finance at the Shanghai International Shipping Research Center. Mainly engaged in: shipping finance, management science and engineering research, professor of shipping finance, doctoral supervisor. Data scientist at the Shanghai Key Laboratory of Data Science, Fudan University, and Project review expert of the Shanghai Municipal Commission of Economy and Information Technology. Senior member of the American Economic Association and the China Computer Federation. Have 7 years of working experience in international certification. Committed to the research of data science, data mining technology and application, I have long been engaged in the research of shipping big data analysis, macro finance, technology finance and network economics, and have rich experience in data analysis and mining. He/She has presided over two projects funded by the National Natural Science Foundation of China and four provincial and ministerial-level projects.
Prof. Hua Wang
Zhejiang University, China
Research Areas: Financial market, IT, fintech
Brief Introduction: Researcher of Haina Bai Ren at Zhejiang University International Joint College, CFA charterholder. Professor Wang's research and teaching areas include financial products and markets, fintech, quantitative trading, and financial market regulation, etc. With academic and financial market experience, proficient in English and Japanese, I have extensive international financial work experience in London, Tokyo, Hong Kong, China and other places. I have served as a research advisor for the China Financial Futures Exchange, participated in and been responsible for the research and development of financial product listings on multiple occasions, as well as several research projects of the exchange and the China Securities Regulatory Commission. I have published numerous articles on the financial market. Research articles and achievements in fintech and regulation, etc. National Invention Patent: A federated transfer learning method and device for financial data information Based on Blockchain, Patent Number: ZL 2021 10287227.9, Authorization announcement Date: June 2, 2023; A transaction method and system for implementing blockchain user identity authentication based on smart contracts, Patent number: ZL 2021 10533183.3, Authorization announcement date: August 2, 2022
Speech Title: Comparative Analysis of LLM -based Market Prediction and Human Expertise with Sentiment Analysis