Prof. Pan Xiongfeng, Dalian University of Technology
Pan Xiongfeng, with a PhD in Management, is currently a professor and doctoral supervisor at the School of Economics and Management, Dalian University of Technology. He has been selected as one of the "Highly Cited Scholars in China" by Elsevier, ranked among the top 2% of scientists worldwide (released by the Stanford University team), and serves as the deputy editor in chief of the SSCI journal "International Journal of Climate Change Strategies and Management". He is an innovative talent in higher education institutions in Liaoning Province and a scarce talent in local urban development in Dalian. He has led over 50 research projects funded by the National Natural Science Foundation, National Social Science Foundation, Ministry of Education Doctoral Program Fund, and Ministry of Education Humanities and Social Sciences Fund, and has published more than 100papers in both Chinese and English.
His core research areasare Regional Innovation System, Spatial Economics and Energy Economics.
Title: The influence of population aging and sub-replacement fertility on carbon efficiency: Consider the role of population flow and technological innovation
Abstract: 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 study examines the effect of aging rate and fertility rate on carbon efficiency of 29 countries in the European Economic Area from 1998 to 2021, and explores the influence mechanism with mediation analysis of population flow (immigration and emigration) and technological innovation. We construct a super-EBM model to evaluate carbon efficiency, and use the dynamic spatial Durbin model combined with multi-level and multivariate mediation analysis to test the direct and spatio-temporal effects between variables. 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. Jing Gao, Southwest University, China
Prof. JingGao, currently professor and master supervisor of School of Economics and Management, Southwest University, postdoc of School of Economics and Management, Southwest University from September 2015 to September 2018; From August 2017 to August 2018, he was a visiting scholar at the Business School of the University of Birmingham. Bayu Scholars Young scholars.Scientific research projects include 2 national Social Science fund projects, 1 major project subproject of Social Science Fund, 4 projects of Ministry of Education, Ministry of Agriculture and Rural Affairs, and Ministry of Culture; More than 20 local government, research bases and horizontal projects; Principal research of 2 national Social science major projects and 1 National Natural Science Foundation project.
Her research areas include peasant household entrepreneurial management, new rural collective economy, agro-ecological economy, and rural governance.
Title: Spatio-temporal pattern of China's new quality agricultural productive forces and their impact on agriculture
Abstract: Cultivating new quality agricultural productive forces (NQAPFs) is an intrinsic requirement for promoting the construction of a strong agricultural country. It is of great practical significance to explain the scientific connotation of NQAPFs in China, analyze their temporal and spatial characteristics, and examine their impact on strengthening China’s agriculture. This paper constructs an index system for measuring NQAPFs from four dimensions: agricultural science and technology, labor factors, industrial upgrading and agroecology, based on panel data from 30 provinces and autonomous regions in China from 2012 to 2022 (Tibet, Hong Kong, Macao and Taiwan are not included). The Theil index, Markov chain and double machine learning methods are used to analyze the spatial and temporal patterns of NQAPFs, identify lagging regions, and empirically test the impact of NQAPFs on agricultural labor productivity and farmers' income. The research found that: China's NQAPFs increased steadily, with industrial upgrading contributing the most and the contributions of the labor factor and agroecology relatively weak; the current development pattern is “high in the east and low in the west”, with the eastern region>northeast region>central region>western region, and regional development is imbalance. However, the NQAPFs converged towards higher levels, and the distribution dynamics are internally stable. Except for the northeast region, there is a converging trend of rapid growth in low-value areas in the eastern, central and western regions of the country. Econometric analysis shows that NQAPFs have significant positive impact on both agricultural labor productivity and farmers' income;17 provinces with weak NQAPFs have been identified, mainly in the western and northeastern regions. In the future, the focus of efforts to improve China's NQAPFs should be on increasing investment in agricultural science and technology, continuing to promote industrial upgrading, improving the quality of the workforce, strengthening the protection of agricultural ecosystems, and accelerating the improvement of the comprehensive development level of NQAPFs in central and western provinces.
Prof. Md. Mamun Habib, Independent University, Bangladesh and Visiting Scientist, University of Texas - Arlington (UTA), USA
Fellow of the Royal Society of New Zealand, Distinguished Fellow of Engineering New Zealand
Prof. Dr. Md. Mamun Habib is a Professor & Head of the Management Department at the School of Business & Entrepreneurship (SBE), Independent University Bangladesh (IUB). Dr. Habib is the Visiting Scientist at the Dept. of Industrial Engineering of the University of Texas – Arlington, USA. He is also a Visiting Professor at Unirazak, Malaysia and UCSI, Malaysia; PUP, Philippines; Beijing Wuzi University, China; and Universitas Ciputra, Indonesia. Currently, he is supervising Ten (10) Ph.D. scholars locally and internationally, and eleven (11) Ph.D. scholars have been awarded earlier.
His core research areas are supply chain management, production & operations management, operations research, research methodology, engineering/technology management, and educational management. Habib is an active member of different professional organizations, including IEEE (Senior Member); Chartered Fellow (FCILT), CILT International, UK; VCARE Academy, Canada; IEOM (President, SCM Technical Division); BSPUA (V.P, R & I); IETI (Senior Member and Board of Director); IRED (Fellow); GRDS (Vice-President) to name a few. He received “Outstanding Professor in Business Management” by IEOM, USA in 2023. He is involved with QS World University Ranking and Times Higher Education Ranking as an academician. He is connected to the industry as a Consultant at AmCham; USAID, BAFFA.
Title: Sustainable Supply Chain Management in the Plastic Industry
Abstract: This keynote speech will demonstrate the theory and evolution of Supply Chain Management (SCM), which is often considered the least innovative in research, and highlight the chronological perspective of SCM in terms of its time frame across different areas of manufacturing and service industries. There are several attempts made by researchers and practitioners to define SCM appropriately. Amidst fierce competition in all industries, SCM has gradually been embraced as a proven managerial approach to achieving sustainable profits and growth. This keynote would illustrate SCM from raw materials to finished products, i.e., suppliers to consumers in various industries. Furthermore, this speech demonstrates SCM in the plastic industry, particularly recycling SCM to add value to the environment. Key aspects of the Plastic industry's SCM, including circular economy, SC resilience, and sustainability, would be highlighted in the keynote speech.
Invited Speaker
Assoc. Prof. Jiyan Xu, China West Normal University,China
Xu Jiyan, female, born in September 1980，Work location: Nanchong, Sichuan; China West Normal University, Associate Professor, Master's degree; Research direction: Economic management and enterprise management; Research achievements: Published over 20 papers and authored 2 books.
Title: Low altitude Economic Analysis
Abstract: Report Summary: This report elaborates on what low altitude economy is and introduces the development of China's low altitude economy, mainly including economic scale, enterprise scale, and industrial scale. At the same time, it showcases several scenarios of low altitude economy applications, including logistics transportation, agricultural crop protection, cultural tourism and public safety. The report also pointed out the shortcomings of low altitude economic development and provided some suggestions.