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
ログインして教室を表示する(Log in to view the classrooms.)
Credits 2
Course Number MIB6211
Language English
Class Registration Method Course Code Registration
Assigned Year 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

【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".

Japanese Items

【授業計画 / Course Schedule】

1 Principles and concepts of urban and regional economics
2 Regional income determination: Neoclassical perspectives
3 Regional income determination: Keynesian approach
4 Regional income determination: Input-Output approach (1)
5 Regional income determination: Input-Output approach (2)
6 Interregional income inequality
7 Interregional income inequality decomposition
8 Interregional inequality in factor endowment
9 Convergence: Traditional framework
10 Convergence: Multiple equilibria
11 Spatial data analysis: What is Spatial Data?
12 Spatial data analysis: Spatial autocorrelation
13 Visualizing spatial data: Drawing a choropleth map
14 Presentations of research assignment and wrap-up session

【活用される授業方法 / Teaching Methods Used】

板書 /Writing on the Board
スライド(パワーポイント等)の使用 /Slides (PowerPoint, etc.)
上記以外の視聴覚教材の使用 /Audiovisual Materials Other than Those Listed Above
個人発表 /Individual Presentations
グループ発表 /Group Presentations
ディスカッション・ディベート /Discussion/Debate
実技・実習・実験 /Practicum/Experiments/Practical Training
学内の教室外施設の利用 /Use of On-Campus Facilities Outside the Classroom
校外実習・フィールドワーク /Field Work
上記いずれも用いない予定 /None of the above

【授業時間外(予習・復習等)の学修 / Study Required Outside of Class】

It is important to complete the assigned readings before each class session.
Weekly homework sets are assigned.

【成績評価方法・基準 / Evaluation】

種類 (Kind)割合 (%)基準 (Criteria)
平常点 (In-class Points)100 Class participation(10%)
Homework assignment(40%)
Term paper(30%)
Research presentation(20%)
備考 (Notes)

【テキスト / Textbooks】

No著者名 (Author/Editor)書籍名 (Title)出版社 (Publisher)出版年 (Date)ISBN/ISSN
1 Takahiro Akita and Mitsuhiko Kataoka Regional Inequality and Development: Measurement and Applications in Indonesia Springer 2022 981192967
2 Carlos Mendez Convergence Clubs in Labor Productivity and its Proximate Sources: Evidence from Developed and Developing Countries Springer 2020 9811586284
3 Martin Armstrong and Jim Taylor Regional Economics and Policy Wiley-Blackwell, 2000 0631217134
4 Yoshiki Yamagata, Hajime Seya Spatial Analysis Using Big Data Elsevier 2020 9780128131275

【参考文献 / Readings】

No著者名 (Author/Editor)書籍名 (Title)出版社 (Publisher)出版年 (Date)ISBN/ISSN
1 Jan K. Brueckner Lectures on Urban Economics MIT press 2012. 8120347528
2 Mary E. Edwards Regional and Urban Economics and Economic Development: Theory and Methods Auerbach Publications 2007 084938317

【履修にあたって求められる能力 / Abilities Required to Take the Course】

The basic Stata coding skills are required.
For students who are not familiar with the basic programming of Stata, please learn it through Video tutorials: www.stata.com/links/video-tutorials/

【学生が準備すべき機器等 / Equipment, etc., that Students Should Prepare】

【その他 / Others】

This course is designed specifically for graduate students and includes technical aspects that require a fundamental understanding of mathematics and statistics. Undergraduate exchange students may take this course; however, I regret to inform you that I have observed that struggle to keep up with its demands. I strongly advise those considering it to evaluate their commitment to academic efforts before enrolling.

【注意事項 / Notice】