日本語

Course Code etc
Academic Year 2024
College Graduate School of Business
Course Code KT451
Theme・Subtitle To provide a comprehensive overview of key concepts in regional economics and introduce the basic topics of spatial data analysis.
Class Format Face to face (all classes are face-to-face)
Class Format (Supplementary Items)
Campus Lecture
Campus Ikebukuro
Semester Fall semester
DayPeriod・Room Wed.4・9203
Credit 2
Course Number MIB6211
Language English
Class Registration Method Course Code Registration
Grade (Year) Required 配当年次は開講学部のR Guideに掲載している科目表で確認してください。
prerequisite regulations
Acceptance of Other Colleges 履修登録システムの『他学部・他研究科履修不許可科目一覧』で確認してください。
course cancellation -(履修中止制度なし/ No system for cancellation)
Online Classes Subject to 60-Credit Upper Limit
Relationship with Degree Policy 各授業科目は、学部・研究科の定める学位授与方針(DP)や教育課程編成の方針(CP)に基づき、カリキュラム上に配置されています。詳細はカリキュラム・マップで確認することができます。
Notes
Text Code KT451

【Course Objectives】

Regional science consisting of Urban Economics and Regional Economics, emphasizes more the spatial dimensions in analysis than other branches of economics. The former deals with the economic aspects of urban issues such as the location behavior of firms and individuals, agglomeration effects, spatial structures, land use, public policy, and government finance. The latter deals with regional problems such as regional economic growth, regional industrial linkage, interregional inequalities of income and factor endowment, and interregional trade and migration. This course introduces the latter branch’s topics such as regional income growth and its distribution to present a picture of how theory relates to the problems and solutions in regional development.

【Course Contents】

This course provides students with the skills to use analytical models to formulate research questions and to apply theoretical concepts in practical empirical work. The primary focus is on understanding the determinants of regional income and its spatial distribution. In addition, students gain basic skills in empirical analysis through hands-on computer workshops using the statistical analysis software "Stata".

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