COURSE UNIT TITLE

: ECONOMIC GEOGRAPHY AND TRADE MODELS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
IKT 5138 ECONOMIC GEOGRAPHY AND TRADE MODELS ELECTIVE 3 0 0 5

Offered By

Economics

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSOCIATE PROFESSOR AYÇIL YÜCER ARIKAN

Offered to

Economics

Course Objective

The objective of the course is to understand of what a cumulative process is and how it works in an economy and to explain the regional wage and income inequalities with the help of international trade and economic geography models. The course also enriches the knowledge on the empirical literature of the subject.

Learning Outcomes of the Course Unit

1   Be able to understand the basic concepts of Spatial Economics and distinguish the differences among the terms such as agglomeration, concentration, cumulative process etc.
2   Be able to introduce the concept of space in trade theory and discuss the reasons of its lack in the classical theory
3   Be able to interpret the impact of scale economies on trade
4   Be able to understand the importance of Economic Geography Models for the trade theory
5   Be able to state the linkages between wage and income inequalities and globalization while discussing its regional dimension
6   Be able to learn the modeling technics of "New" trade theory
7   Be able to analyze the empirical work in line with the theoretical models of Economic Geography
8   Be able to distinguish between the structure of intra national and international trade and compare their convenience with the theory

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Concept of Space and Agglomeration in the Theory and in Stylized Facts, Relation of Trade with Space
2 Location Theories, Traditional Theory of Trade and New Economic Geography
3 Monopolistic Competition Model of Dixit-Stiglitz and Agglomeration
4 Monopolistic Competition Model of Dixit-Stiglitz and Home Market Effect
5 Core-Periphery Model: Short Term Equilibrium
6 Core-Periphery Model: Long Term Equilibrium
7 Core-Periphery Model: Long Term Equilibrium
8 Place of Empirical Work in Economic Geography Literature
9 Gravity Model of Trade
10 Measures and Determinants of Industrial Clusters and Specialization
11 Regional Wage Inequalities
12 Regional Trade Structure of Turkey and Wage Inequalities
13 Regional Trade Structure of Turkey and Wage Inequalities
14 Regional Trade Structure of Turkey and Wage Inequalities

Recomended or Required Reading


Combes, P. P., Mayer T. and Thisse, J. F. (2008). Economic geography. The integration of regions and nations. Princeton University Press.
Fujita, M., Krugman, P. and Venables, A. J. (1999). The Spatial Economy: Cities, Regions and International Trade. The MIT Press, Cambridge, MA.
Krugman, P. (1995). Development, Geography and Economic Theory. The MIT Press, Cambridge, MA.

Planned Learning Activities and Teaching Methods

During the course, we present the economic geography models with their mathematical basis while we highlight the meanings and the concepts of the model. On this purpose, the active and pro-active participation of the student is necessary and by doing so, a critical regard is demanded. Students are obliged to prepare a term work on an empirical question about the course subject.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 STT TERM WORK (SEMESTER)
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 + STT * 0.30 + FIN* 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + STT * 0.30 + RST* 0.40


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

aycil.yucer@deu.edu.tr
aycily@gmail.com

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Student Presentations 13 1 13
Preparation for midterm exam 1 10 10
Preparations before/after weekly lectures 13 3 39
Preparation for final exam 1 10 10
Preparing assignments 1 10 10
Preparing presentations 1 10 10
Final 1 3 3
Midterm 1 3 3
TOTAL WORKLOAD (hours) 137

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9
LO.15324
LO.253
LO.3435
LO.453453
LO.534
LO.64424
LO.7543
LO.85444