シラバス情報
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教員名 ： 藤森 梓
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授業科目名
Economic Development
(英語名)
Economic Development
科目区分
専門教育科目
-
対象学生
国際商経学部
学年
2年
ﾅﾝﾊﾞﾘﾝｸﾞｺｰﾄﾞ
KCCBG2MCA1
単位数
2.00単位
ナンバリングコードは授業科目を管理する部局、学科、教養専門の別を表します。詳細は右上の？から別途マニュアルをダウンロードしてご確認ください。
授業の形態
講義 (Lecture)
開講時期
2026年度後期
(Fall semester)
担当教員
藤森 梓
所属
School of Economics and Management
授業での使用言語
英語
関連するＳＤＧｓ目標
目標1／目標2／目標5／目標10／目標16
ｵﾌｨｽｱﾜｰ・場所
By appointment
連絡先
azusa_fujimori@em.u-hyogo.ac.jp
対応するディプロマ・ポリシー(DP)・教職課程の学修目標
二重丸は最も関連するDP番号を、丸は関連するDPを示します。
学部DP
1◎／3〇
研究科DP
ー
全学DP
ー
教職課程の学修目標
ー
講義目的・到達目標
【Course Objectives】
Understanding the current situation of poverty in the world and consider to policy for poverty reduction and economic development 【Learning Outcome】 Students will understand the essence of poverty issue and describe the appropriate strategy for economic development. 授業のサブタイトル・キーワード
【Subtitle】 Exploring Sustainable Economic Development
【Keywords】 Poverty, inequality, Rural Development, Social Development, Industrtialisation 講義内容・授業計画
Development economics is a subject that deal with several issues in the developing countries. Among the problems, this course focuses on “poverty issue” and consider the strategy for economic Development. This course provides topics such as (1)Poverty and Inequality, (2)Economic Growth,(3)Rural Development, (4)Industrialisation, (5)Case Study.
1.Guidance 2 Introductory Development Ecnomics 3 Poverty and Inequality 4 The mechanism of “Poverty Trap” 5 Economic Growth 6 Rural Development 7 Industrialisation1: Import-Substitution Industrialisation 8 Industrialisation 2: Globalisation, Liberalisation and Industrialisation 9 International Cooperation 10 Human development 11 Globalisation and Economic Development 12 Case Study1: Japan’s Industrial Revolution 13 Case Study2: Economic Growth in Japan~Japan’s Miracle~ 14 Case Study3: “The Lost Decades”~Economic Stagnation in Japan~ 15 Summary 対面・遠隔の別
対面
実施方法及び遠隔上限適用対象の別
• In-person classes only
• Not subject to the cap on distance-education credits 生成ＡＩの利用
利用する場面を限定し許可
生成ＡＩ注意点
In this class, the use of generative AI is permitted within the following scope, and use outside of this scope is prohibited. Follow the instructions of the instructor when using generative AI. If it is discovered that generative AI has been used beyond the scope permitted by the instructor, credits may not be awarded or may be revoked. It is important to verify the facts regarding the content output by generative AI, and to confirm and add sources and references. Furthermore, the output results from generative AI should not be submitted as assignments or reports as is.
教科書
Materials will be distributed during classes
参考文献
J. Edward Taylor and Travis J. Lybbert, 2015 “Essentials of Development Economics”, University California Press.
事前・事後学習（予習・復習）の内容・時間の目安
Preparation: Read through relevant literature/reference materials (50h)
Review: Make a review notebook(20h) アクティブ・ラーニングの内容
Discussion, Presentation and Short Essay
成績評価の基準・方法
(Evaluation Criteria)
Credit hours are provide based on the understanding of he course contents and Grades S (90 or higher), A(80-90),B(70-79),C(60-69) and D(59 or lower) (Evaluation Method) Students Contributions to the Classes(20%) Assignments(20%) Essay(60%) 課題・試験結果の開示方法
Feedback for Assigments are provided during classes. Students are required to participate in class discussion.
履修上の注意・履修要件
Lecture will be conducted in English.
実践的教育
Not Applicable
備考
英語版と日本語版との間に内容の相違が生じた場合は、日本語版を優先するものとします。
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