SPEAKER Ⅰ
| Peter Sachsenmeier, Vice Chancellor and Deputy President Hankou University, China
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Biography: Prof Peter Sachsenmeier is an international strategist, expert for complex technology management, an industrial innovator, and a visionary. He combines important roles in academia with outstanding appointments related to international industries. Professor Peter Sachsenmeier combines deep technologies and management knowledge associated with the digital transformation of all industries. In 2006, he was elected a fellow of the prestigious German National Academy of Science and Technology, acatech. He is the President of the International Innovation Center @Hankou University in Wuhan, China, and Vice-Chancellor of the University. His international innovation center covers the depth and width of modern industrial research and development. He is a well-known Industry 4.0 expert and a co-founder (in 2018) of the China-based International Manufacturing Alliance. He is a much sought-after advisor for governments, cities, companies, universities, and other organizations | |
Speech Title: Innovation and Sustainability: Implications for advanced management | |
Prof.Tapas Mishra Head of Department Banking and Finance, Director of the Centre for Empirical Research in Finance and Banking Southampton Business School, University of Southampton, UK | |
Biography: Tapas Mishra is currently a chaired Professor and Head of Banking and Finance at the Southampton Business School, the University of Southampton – one of the Russel Group of Universities in the UK. He is also the founding Director of the Centre for Empirical Research in Finance and Banking at the Southampton Business School. He is a Fellow of the Higher Education Academy (HEA). Previously he held academic position at the Economics Department in Swansea Universit, and as a scientist within the World Population Program at the International Institute for Applied Systems Analysis (IIASA) in Laxenburg, Austria. He was also a senior researcher fellow at the Institute for Future Studies, Stockholm, Sweden. He was a Marie-Curie post-doctoral researcher at the Vienna University of Technology, Austria. Tapas has led several research projects awarded by both national and international funding bodies, such as the Leverhulme Trust, the Ford Foundation and Winrock International, the Swedish Research Council, and the European Commission’s FP6 Framework. His papers have been published in leading scientific journals, such as the Nature, Journal of Economic Behavior and Organisation, Review of International Economics, the World Development, Energy Economics, the Journal of Forecasting, Journal of Macroeconomics, and European Journal of Finance, and many other leading journals. His co-authored book on Dynamics of Distribution and Diffusion of New Technologies (published by the Springer) has been downloaded over 4600 times. His research has been presented at refereed national and international conferences, such as the Royal Economic Society, the American Economic Association, Economic History Association, EURAM, the Econometric Society, and Science and Public Policy Conference at the Kennedy School of Government, Harvard University. Tapas is also an accomplished educator having earned the prestigious Vice Chancellor Award and the Dean’s Award for Distngusihed Teaching and Learning. He is currently an Associate Editor of the European Journal of Finance, Cliometrica, and Economies. | |
Speech Title:What is Big about Big Data? Are the Current Methods Enough to Detect Patterns? Abstract: Lately, rigorous research has focused on the efficacy of big data in consistent inference making and using those inferences to predict future patterns. If big data is about making the greatest amount of information useful for decision making, then questions arise on whether ‘too much information’ is as equally bad as ‘too little information’ Where is the trade-off, if there is any? Further, even though researchers vouch for exploiting more data for best inference making, are the current methods available to us sufficient enough to detect real patterns in the data? In this talk I present the problem surrounding the problems with big data and discuss some theoretical ideas on how too much information is sub-optimal for decision making if the employed methods insufficiently capture the real dynamics in the data. For instance, if one has long time series data for n number of agents and for x number of variables, the ‘memory’ pattern in the data is often disregarded in favour of high-dimensional estimation involving Lasso to Support Vector Machines. But this ‘memory’ – which can be both spatial and temporal in nature, can drive the efficacy of choice of a specific mechanism or even better, to improve the existing technologies for estimation of a causal relationship. | |
| Prof.Jinchao Wang Economics and Management School of Wuhan University, China |
Biography: After doctoral degree of (Western) Economics at Wuhan University being gotten in 2003, my research focused on the understanding different kinds of western theories, inculuding its decision science theory, finance theory, etc.. After being an associate professor, my research turned to the development paradigm of China. I began to realize that the foundamental importance of Marxian Political Economy in understanding China and the world, and there was huge vaccum in relevant research. In doing China economic development research, I gradually become a Marxism economist. And my papers and books cover many fields, including theorectial research, methodological research, and China’s socio-economic research, even cultural research, history research. Since 2011 till today, I published over 100 papers on website to discuss many kinds of theoretical and practical problems, and is the author of five monographs with four of them as the solo author, the solo author of two textbooks, and the co-translator of two foreign monographs. | |
Research Area: Development Economics, China's Economic Development Strategy and Issues, Economics Methodology, Basic Theory of Economics, Basic Theory of Marxism (Philosophy, Economics, Scientific Socialism) Title: A Methodological Delibration of Economics Abstract:The coexistence of competeing conomic theories in China is a huge disturbing factor for the progress of Economics of China, and the world. The core content of western mainstream Economics, which is also prevalent in China was created by several persons who lived about 100 years ago. Did they really have the potential to deal the real problems wo confront today? A methogological delibration says no. The aim of the framework of supply-demand analysis and Macroeconomics are both too narrow. | |
Prof. Yusheng Jiao Wuchang Shouyi University, China | |
Biography: Professor at Wuchang Shouyi College. Doctor from Zhongnan University of Economics and Law. Visiting scholar at California State Polytechnic University,Pomona, USA. Research interests are evolution and institutional analysis. Has published more than thirty journal articles, presided over five provincial and ministerial level research projects, seven municipal and departmental level research projects, six university level research projects, and presided over the university level science and technology innovation team. Has edited two textbooks and published one monograph. | |
Research Area: Evolution and Institutional Analysis Title: Economic Policy Uncertainty, Geopolitical Risks and Ecological Footprint—Empirical Evidence from China Abstract: Economic policy uncertainty (EPU) reduces energy consumption and the use of pollution intensive commodities, which not only relieves environmental degradation, but also hinders investment in renewable energy and R&D, and leading to environmental degradation. Geopolitical risks (GPRs) result in a sharp drop in economic growth and energy consumption,and hinder environmental degradation. In addition, they can bring about a decrease in R&D, innovation and renewable energy, and will further exacerbate environmental degradation. By using the monthly data from Jan. 2000 to Dec. 2017 of China, a five-variable time varying parameter stochastic volatility vector auto regression model (TVP-VAR) of EPU, GPRs, industrial added value growth rate, crude oil growth rate and ecological footprint (EFOOT) is established. According to the results of the model, the conclusions can be drawn as follows : (1) EFOOT has a positive feedback on EPU in short, medium and long term, marking the investment effect of EPU is greater than consumption effect. (2) EFOOT has a negative feedback on GPRs in short, medium and long term. (3) The utilization characterized by the growth rate of industrial added value and crude oil has a negative impact on EFOOT. It is worth noting with the steady improvement of China's economy, the further improvement of economic strength and the high attention to environmental protection from 2015, the impact of EPU and GPRs on the EFOOT began to weaken. | |
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