日本語 English
開講年度/ Academic YearAcademic Year |
20232023 |
科目設置学部/ CollegeCollege |
経営学研究科/Graduate School of BusinessGraduate School of Business |
科目コード等/ Course CodeCourse Code |
KT451/KT451KT451 |
テーマ・サブタイトル等/ Theme・SubtitleTheme・Subtitle |
To provide the full scope of the fundamental topics within urban and regional economics. |
授業形態/ Class FormatClass Format |
対面(一部オンライン)/Face-to-face (partially online)Face-to-face (partially online) |
校地/ CampusCampus |
池袋/IkebukuroIkebukuro |
学期/ SemesterSemester |
秋学期/Fall semesterFall semester |
曜日時限・教室/ DayPeriod・RoomDayPeriod・Room |
水4・6201/Wed.4・6201 Wed.4・6201 |
単位/ CreditCredit |
22 |
科目ナンバリング/ Course NumberCourse Number |
MIB6211 |
使用言語/ LanguageLanguage |
英語/EnglishEnglish |
備考/ NotesNotes |
|
テキスト用コード/ Text CodeText Code |
KT451 |
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.
• In this course, students can develop knowledge to use analytical models to formulate research questions and to apply theoretical concepts to undertake relevant empirical work. This course focuses on the determinants in regional incomes and their spatial distributions. This course also enhances the students’ analytical skills in writing term papers and master dissertations, by developing the students’ quantitative analytical skills through the computer workshop.
※Please refer to Japanese Page for details including evaluations, textbooks and others.
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.
• In this course, students can develop knowledge to use analytical models to formulate research questions and to apply theoretical concepts to undertake relevant empirical work. This course focuses on the determinants in regional incomes and their spatial distributions. This course also enhances the students’ analytical skills in writing term papers and master dissertations, by developing the students’ quantitative analytical skills through the computer workshop.
1 | Principles and concepts of urban and regional economics |
2 | Regional income determination: Neoclassical perspectives (1) |
3 | Regional income determination: Neoclassical perspectives (2) |
4 | Regional income determination: Keynesian approach |
5 | Regional income determination: Input-Output approach (1) |
6 | Regional income determination: Input-Output approach (2) |
7 | Interregional income inequality |
8 | Interregional income inequality decomposition |
9 | Interregional inequality in factor endowment |
10 | Convergence: Traditional framework |
11 | Convergence: Multiple equilibria |
12 | Spatial data analysis: What is Spatial Data? |
13 | Spatial data analysis: Spatial autocorrelation |
14 | Presentations of research assignment and wrap-up session |
It is important to complete the assigned readings prior to each class session.
Weekly homework sets are assigned.
The basic Stata coding skills are required.
The course of Statistics for Economics and Management (KT221) is prerequisite.
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) | ||
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 |
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 |
Note that this course is a graduate level course and some parts are very technical. The students need to have some understanding of basic mathematics and statistics.
The number of face-to-face classes is less than 7 times out of 14 times.