Professor Keiji Ujikawa
Yokohama National University, Japan
 

Biography: Keiji Ujikawa is a full professor in the Graduate School of International Social Sciences, Yokohama National University, Japan. He specializes in environmental economics, environmental policy studies, environmental valuation, and economic statistics. Professor Ujikawa's research interests include indicators, decision making, and impact assessment of sustainable development. He is also interested in economic, social, and environmental effects of renewable energy (energy conservation) expansion. In 2002, he received his Doctor of Philosophy in Economics from the Graduate School of Economics and Management, Tohoku University. In 2007, he was a visiting researcher in the Business School at Beijing Normal University, Beijing, China. He published several books and a large number of academic articles, and he served as the representative of research projects. In addition, he has trained many Master's and Ph.D. students from abroad.He is an editorial committee member of the Pan Pacific Association of Input-Output Studies (PAPAIOS). He is also a member of the Society for Environmental Economics and Policy Studies (SEEPS) and many other academic organizations.
 

Speech Title: A simulation on Sustainable economy using environmental-economic modeling
 

Abstract: Currently, In the agricultural industry, addressing the SDGs is essential to solve problems such as labour security, global warming and future food shortages. In 2017, the United Nations Statistical Commission approved the System of Environmental-Economic Accounting (SEEA) as supporting framework for applying the SDGs to policies. SEEA that is a satellite system of the SNA has become an international statistical standard as a means of analyzing integrated policies regarding SDGs issues and the interaction with the economy. Based on existing national statistical data on the environment and economy, sector targets, etc., SEEA can be applied to the SDGs indicators; attempts have been made to apply SEEA to analysis using the CGE model. Based on the above research questions, we developed SEEA accounts for Japan and converted them into an environmentally extended SAM (EESAM) using monetary and physical data. Furthermore, using these SEEA accounts and EESAM, we constructed a SEEA-CGE model for SDG policy analysis. In several scenarios, simulation results suggest that it will be difficult to achieve the SDG targets solely through changes to the tax system, which is considered a typical environmental policy instrument.