2021 Modeling of Global Environment and Economic Growth

Font size  SML

Register update notification mail Add to favorite lecture list
Academic unit or major
Graduate major in Industrial Engineering and Economics
Kanamori Yuko  Takakura Junya  Hirayama Tomoki  Hiruta Yuki 
Class Format
Media-enhanced courses
Day/Period(Room No.)
Mon1-2()  Thr1-2()  
Course number
Academic year
Offered quarter
Syllabus updated
Lecture notes updated
Language used
Access Index

Course description and aims

This cource focuses on modeling on global environmental issue such as global warming and economic growth. Topics include IAM (Integrated Assessment Model), its component models such as bottom-up model, top-down model, population projection, demand estimation), and future scenario. The course enables students to understand the characteristics of models through lectures. The models introduced in this cource have been used in discussion such as future CO2 emission target and corbon tax. Students will be interested in global environmental issue and think about the issue by themselves after this cource.  Lectures will be given by class teacher (Kanamori) and three external lecturers.

Student learning outcomes

By the end of this course, students will be able to:
1) Understand characteristics of the models which are used in global environemental issues.
2) Think and propose about appropriate model framework.
3) Have a appropriate presentation about 2).


Global environmental issue, economic grouwth, model analysis, IAM (Integrated Assessment Model)

Competencies that will be developed

Specialist skills Intercultural skills Communication skills Critical thinking skills Practical and/or problem-solving skills

Class flow

Class 1 - Class 14: Each topics are explained.

Course schedule/Required learning

  Course schedule Required learning
Class 1 Intoroduction of IAM Understand the cource aims
Class 2 Introduction of future scenarios Understand future scenarios
Class 3 Introduction of AIM/ExSS Understand AIM/ExSS (Accounting model)
Class 4 Introduction of population and household projection Understand popuplation and household projection
Class 5 Introduction of models in household sector (1) Understand various models in household sector
Class 6 Introduction of AIM/Enduse Understand AIM/Enduse (bottom-up model)
Class 7 Introduction of AIM/CGE Understand AIM/CGE structure
Class 8 Use of AIM/Enduse Understand how AIM / Enduse was used in environmental policy
Class 9 Impact assessment model 1 (Introduction of various impact assessment model) Understand various impact assessment model
Class 10 Impact assessment 2 (Example of impact assessment) the latest findings of ​​impact assessment on climate change issues
Class 11 Power demand analysis at regional-scale Understand power demand analysis at regional-scale
Class 12 Introduction of models in household sector (2) Understand various models in household sector
Class 13 Machine learning analysis in the energy field Understand the advantages of the machine learning algorithms in the energy analysis
Class 14 Setting challenge to solve global environmental issue and collection of data for modeling Understand how to collect data for modeling

Out-of-Class Study Time (Preparation and Review)

To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to course material.


Cource matereals are distributed in each class.

Reference books, course materials, etc.

Reference books are shown in each class.

Assessment criteria and methods

Main report (50%)
Evaluation by 3 external lecturers (mainly mini-report) (total 50%)

Related courses

  • IEE.B331 : Applied Microeconomics
  • IEE.B531 : Frontier of Environmental Economics and Policy Studies
  • IEE.B333 : Environmental Economics

Prerequisites (i.e., required knowledge, skills, courses, etc.)

There is no prerequisite for this course.

Page Top