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) |
授業形態(補足事項)/ Class Format (Supplementary Items)Class Format (Supplementary Items) |
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授業形式/ Class StyleCampus |
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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/Wed.4 Wed.4 ログインして教室を表示する(Log in to view the classrooms.) |
単位/ CreditsCredits |
22 |
科目ナンバリング/ Course NumberCourse Number |
MIB6211 |
使用言語/ LanguageLanguage |
英語/EnglishEnglish |
履修登録方法/ Class Registration MethodClass Registration Method |
科目コード登録/Course Code RegistrationCourse Code Registration |
配当年次/ Assigned YearAssigned 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。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。 |
先修規定/ Prerequisite RegulationsPrerequisite Regulations |
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他学部履修可否/ Acceptance of Other CollegesAcceptance of Other Colleges |
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履修中止可否/ Course CancellationCourse Cancellation |
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オンライン授業60単位制限対象科目/ Online Classes Subject to 60-Credit Upper LimitOnline Classes Subject to 60-Credit Upper Limit |
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学位授与方針との関連/ Relationship with Degree PolicyRelationship with Degree Policy |
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備考/ NotesNotes |
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 |
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
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.
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 |
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
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.