Keio University Syllabus and Timetable

JAPANESE COMPETITION POLICY

SubtitleIntroduction to Japanese Competition Policy
Lecturer(s)YAMADA, HIROSHI
Credit(s)2
Academic Year/Semester2026 Spring
Day/PeriodThu.5
CampusMita
Class FormatFace-to-face classes (conducted mainly in-person)
Registration Number26949
Faculty/Graduate SchoolINTERNATIONAL CENTER
Year Level2, 3, 4
Grade TypeThis item will appear when you log in (Keio ID required).
Course DescriptionA course to aim to learn the introductory knowledge of the competition law which is a basic rule for business activities and the competition policy in Japan.
K-Number CIN-CO-00253-212-05
Course AdministratorFaculty/Graduate SchoolCININTERNATIONAL CENTER
Department/MajorCO
Main Course NumberLevel0Faculty-wide
Major Classification0Other Course
Minor Classification25International Center Course (Social Sciences) - Law
Subject Type3Elective subject
Supplemental Course InformationClass Classification2Lecture
Class Format1Face-to-face classes (conducted mainly in-person)
Language of Instruction2English
Academic Discipline05Law and related fields

Course Contents/Objectives/Teaching Method/Intended Learning Outcome

This course aims to provide students with basic knowledge of competition law and policy, which is essential for doing business in Japan.

Course Taught by Faculty Member with Professional Experience

Applicable

In this course, a lecturer, who worked for over thirty years at Japan's competition law enforcement body (Japan Fair Trade Commission) will explain the Japanese competition law (Antimonopoly Act) and its enforcement policies from both a legal and practical perspective, based on his own professional experience.

Active Learning MethodsDescription

Presentations
Discussions, Debates
Group work
Role-playing

Preparatory Study

Students are encouraged to read the materials uploaded to K-LMS prior to class and prepare for the class based on them. Preparation time usually takes 30-60 minutes.
When writing the attendance report that are required to submit for each class, reflecting on what you have learned is beneficial in deepening your understanding of the class content.

Course Plan

Lesson 1
[Introduction] Significance of studying competition Law and policy
Lesson 2
[Chapter 1] General Remarks
(1) History of Competition Policy in Japan
Lesson 3
[Chapter 1] General Remarks
(2) Purposes, Structure and Terminology of Antimonopoly Act
Lesson 4
[Chapter 2] Unreasonable Restraint of Trade
(1) Legal Interpretation
Lesson 5
[Chapter 2] Unreasonable Restraint of Trade
(2) Case Study
Lesson 6
[Chapter 3] Private Monopolization
(1) Legal Interpretation
Lesson 7
[Chapter 3] Private Monopolization
(2) Case Study
Lesson 8
[Chapter 4] Unfair Trade Paractice
(1) Legal Interpretation -1
Lesson 9
[Chapter 4] Unfair Trade Paractice
(2) Legal Interpretation -2
Lesson 10
[Chapter 4] Unfair Trade Paractice
(3) Case Study
Lesson 11
[Chapter 5] Business Combination Regulation
(1) Legal Interpretation & Procedure
Lesson 12
[Chapter 5] Business Combination Regulation
(2) Analytical Framework -1
Lesson 13
[Chapter 5] Business Combination Regulation
(3) Analytical Framework -2 & Case Study
Lesson 14
[Chapter 6] Enforcement Procedure of Antimonopoly Act
Other
[Conclusion] Course Review

Method of Evaluation

There are no planned exams for this course.
Students will be evaluated based on their motivation to learn (60%) and their contribution to class (40%).
A student's motivation to learn will be evaluated primarily based on their attendance and assignment submissions.
Active communication with the lecturer, such as asking questions or stating opinions during class or in attendance reports, is also considered to be evidence of motivated participation.
Contribution to class will be evaluated based on how much a student's participation improves the quality of the class.
Questions that raise the level of the class and constructive feedback on class content will be evaluated as contribution to the class.

Generative AI Policy for Classes

The use of generative AI is partially permitted in this course. Specifically, students may use generative AI in the following situations:
• Using as a tool for brainstorming and idea generation during the case study discussion
• Drafting the assignment structure
• Assisting with research (students must verify the accuracy of the information themselves).
However, please note the following:
• If the students use AI in producing reports, they must clearly state this in their submission (e.g., "The structure was drafted using Gemini" or "This report was written with assistance of Lucy").
• Copying AI-generated text without citing the source or using unverified sources may be considered academic misconduct.
• Finalizing reports and assignments requires the author's independent thinking, so the use of generative AI is prohibited in this phase.

Textbooks

This course does not use a textbook. All materials used in each class are uploaded to K-LMS in advance.

Reference Books

Not in particular.

Lecturer's Comments to Students

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Question/Comments

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