Shota Fujishima / Assistant Professor / Division of Environmental Studies
Department of Socio-Cultural Environmental Studies / / Urban and Regional Economics, Evolutionary Game Theory

Career Summary
2005: B.A. in Area Studies (Tokyo University of Foreign Studies)
2007: M.A. in Economics (University of Tokyo)
2013: Ph.D. in Economics (Washington University in St. Louis)
2013: Assistant Professor (University of Tokyo)
Educational Activities
Graduate School: Seminar on Urban and Regional Economic Analysis, Introduction to Socio-Cultural Environmental Studies
Graduate School of Public Policy: Transportation Policy, Urban and Regional Policy
Department of Economics, Yokohama National University: Public Economics
Research Activities
Mechanism Design for Urban Congestion Problems
Taxation is an efficient means of circumventing urban problems such as traffic congestion and environmental pollution. In the case of traffic congestion, the government has to determine the value of time loss due to the congestion in order to set the optimal tax rate. However, because peoplefs value of time is deemed private, the government has no access to it. Therefore, I designed a scheme in which the government can gradually adjusts the tax rate toward the optimal rate rather than simply following a predetermined rate. Specifically, the government adjusts the tax rate by observing how individuals respond to a tax in every period and accumulating the necessary information to formulate an optimal tax rate. Implementing such a scheme in the real world will involve the availability of detailed spatial data such as traffic distribution changes over time. I would like to investigate the technical aspects of this scheme by working not only with economists but also researchers from other fields such as engineering and the computer sciences.

Economic Growth and Urban Agglomeration
Economic growth closely interacts with the dynamic evolution of spatial population distribution. For example, in the real world, it is commonly observed that in the early stages of economic development, population is agglomerated and high economic growth is achieved, while in the later stages, population is dispersed, thereby sidestepping the downsides of urban agglomeration such as traffic congestion and environmental pollution. However, most previous research on urban growth has focused on cases in which the spatial population distribution is fixed over time. Therefore, I am currently constructing an urban growth model that addresses the dynamic interactions between economic growth and urban agglomeration.
1) Fujishima, S. (2013), "Growth, Agglomeration, and Urban Congestion," Journal of Economic Dynamics and Control, 37, 1168-1181.
2) Fujishima, S. (2013), "Evolutionary Implementation of Optimal City Size Distributions," Regional Science and Urban Economics, 43, 404-410.
Other Activities
Japanese Economic Association, Applied Regional Science Conference, Econometric Society
Future Plan
I plan to focus on research that integrates both theoretical and empirical studies such as the structural estimation of spatial economic models with spatial data
Messages to Students
The Graduate School of Frontier Studies has many excellent researchers and students from a wide variety of fields. Please take full advantage of these great human resources!