Spatial economic modeling with endogenous agglomeration: A stochastic learning dynamics approach

2022 Fiscal Year Final Research Report

• Project/Area Number: 19K15108
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 22050:Civil engineering plan and transportation engineering-related
• Research Institution: Kyoto University (2020-2022); Tohoku University (2019)
• Principal Investigator: Osawa Minoru 京都大学, 経済研究所, 助教 (50793709)
• Project Period (FY): 2019-04-01 – 2023-03-31
• Keywords: 都市・地域経済学 / ポテンシャルゲーム / 確率安定性 / 均衡選択

Outline of Final Research Achievements

Theoretical understanding of the behavior of spatial economic models with agglomeration economies is the foundation for the evaluation of regional policies by computable general equilibrium models. The purpose of this research is to establish an analytical method to study the characteristics of equilibrium states of various spatial economic models in a unified manner, and to systematize the knowledge that has been accumulated in the field of spatial economics. For this purpose, we applied a stochastic stability approach developed in the theory of stochastic evolutionary dynamics to urban and regional models and clarified the behavior of several representative models. Specifically, we analyzed models with multiple types of transportation costs and models with knowledge spillovers, with an eye on coupling analysis at intra- and inter-city scales, and clarified the differences in the properties of locally and globally stable solutions.

Free Research Field

都市・地域経済学

Academic Significance and Societal Importance of the Research Achievements

交通基盤整備・用途地域見直し・交易制度改訂など，地域・都市政策の実施は人口・経済活動の空間配置に多大な影響を及ぼすため，経済的影響の評価には事後的な空間配置の変化を考慮する必要がある．複数空間スケールにわたる人口・経済集積の空間的秩序が自律的に形成される経済集積現象に関する基本メカニズムの理解およびその表現は，そうした政策評価の前提条件である．本研究では，空間経済モデルの分析に進化ゲーム理論の先端的結果を導入し，体系的に分析することを通じて空間経済分析の信頼性を担保に資するものである．また，確率的進化ダイナミクスと確率安定性概念の実応用を目指した分析は従来研究が少なく，学術的意義が大きい．