ENVIRONMENTAL ECONOMICS

Once you log in, you can use the following functions (Keio ID required).
Affiliation information (faculty, department/major, year level, etc.) is set in the search criteria (available to new students after enrollment).
Favorite (Bookmark)
View syllabus details

Subtitle	Fundamental Theory and Application of Environmental and Natural Resource Economics
Lecturer(s)	ABE, KEITA
Credit(s)	2
Academic Year/Semester	2026 Spring
Day/Period	Fri.3
Campus	Mita
Class Format	Face-to-face classes (conducted mainly in-person)
Registration Number	16827
Faculty/Graduate School	[MASTER'S] ECONOMICS
Department/Major	ECONOMICS
Year Level	1, 2
Field	MASTER'S PROGRAM(10) MASTER'S PROGRAM SPECIALIZED COURSES(23)
Grade Type	This item will appear when you log in (Keio ID required).
Course Description	In this course, students learn the theories of environmental economics as well as related topics and analytical methods.
K-Number	GEC-EC-67282-211-07

Course Administrator	Faculty/Graduate School	GEC	ECONOMICS
Course Administrator	Department/Major	EC	ECONOMICS
Main Course Number	Level	6	Master's level coursework
	Major Classification	7	Master's Program Prescribed Course
	Minor Classification	28	Specialized Course - Environment
	Subject Type	2	Elective required subject
Supplemental Course Information	Class Classification	2	Lecture
	Class Format	1	Face-to-face classes (conducted mainly in-person)
	Language of Instruction	1	Japanese
Academic Discipline		07	Economics, business administration, and related fields

Course Contents/Objectives/Teaching Method/Intended Learning Outcome

This course provides graduate students with a comprehensive understanding of resource economics theory and its applications to contemporary resource management challenges. Students will develop analytical skills to evaluate the economic efficiency and sustainability of natural resource use, with particular emphasis on renewable resources such as fisheries and forests, as well as non-renewable resources including minerals and fossil fuels. The course integrates microeconomic theory, dynamic optimization methods, and empirical techniques to analyze resource allocation problems across spatial and temporal dimensions.

By the end of this course, students will be able to:

1. Apply economic theory to resource management problems: Use fundamental economic concepts to analyze real-world resource allocation issues.
2. Employ dynamic optimization techniques: Apply intertemporal optimization methods to resource extraction and conservation problems.
3. Evaluate policy interventions: Assess the effectiveness of policy instruments in achieving sustainable resource management.
4. Analyze empirical resource economics problems: Apply econometric methods and interpret empirical studies in resource economics.

Course Taught by Faculty Member with Professional Experience

Not applicable

Active Learning MethodsDescription

Not applicable

Preparatory Study

Students are expected to read assigned readings before class and review lecture materials afterward.

Course Plan

Lesson 1

Guidance: History and policy of natural resources

Lesson 2

Basic method: optimization 1

Lesson 3

Basic method: optimization 2

Lesson 4

Basic method: optimization 3

Lesson 5

Theory of common property resources

Lesson 6

Management of common property resources 1

Lesson 7

Management of common property resources 2

Lesson 8

Forestry use and deforestation

Lesson 9

Non-renewable resources 1

Lesson 10

Non-renewable resources 2

Lesson 11

Non-renewable resources 3

Lesson 12

Energy economics

Lesson 13

Energy and climate change

Lesson 14

Sustainability

Other

Examples and practice exercises

Method of Evaluation

Evaluation based on examination and/or report

Generative AI Policy for Classes

Generative AI tools (such as ChatGPT, Claude, Gemini, etc.) are permitted in this course only as assistive tools for your academic work. Please observe the following guidelines:

Literature review: You may use AI to summarize papers or identify key points, but you must read the original sources yourself to develop a thorough understanding of the content.

Report writing: AI may be used to assist with writing mechanics (e.g., grammar checking, sentence restructuring, translation), but not for generating substantive content. All arguments, analysis, and interpretations must be your own work.

General principle: AI should support your learning process, not replace your critical thinking and intellectual engagement with the material.

Any work that inappropriately relies on AI-generated content may be considered academic misconduct. When in doubt, please consult with the instructor.

Lab / Skill-development / On-site training	An educational approach in which students deepen their understanding of educational content through first-hand experience and trial-and-error by initiating their own activities at facilities and accommodations both on and off campus.
Fieldwork	An educational approach in which students conduct surveys and observations on their own to collect information both on and off campus.
Presentations	An educational approach in which students deepen their understanding of educational content by preparing materials and delivering presentations in class.
Discussions, Debates	An educational approach in which students deepen their understanding of educational content through sharing and discussing their opinions on designated topics.
Group work	An educational approach in which students are divided into small groups and assigned tasks on issues related to educational content.
Role-playing	An educational approach in which students deepen their understanding of educational content by being assigned specific roles to play, thus allowing them to experience different viewpoints.
Flipped classroom	An educational approach in which students study the course lecture in advance, and questions and discussions relating to that content are then held in class.
Problem-based learning	An educational approach in which students acquire knowledge and skills related to educational content by attempting to tackle specific projects or problems posed to them.

Keio University Syllabus and Timetable