United Nations Human Development Index (HDI), 2009
Upon successful completion of the course, students will have proven knowledge and understanding of issues related to:
This knowledge is supported by advanced scientific textbooks and includes views arising from modern cutting-edge developments, such as the regional convergence process and social accounting matrices methodology.
Students should also be able:
At the end of the course, the students should fully understand the functioning of the regions as autonomous administrative units as well as functional units of a single national economy.
In addition, the course aims at:
Regional Economics: Introduction. Concept and types of regions. Regional Income and Employment Determination, Export Base Model, Keynsian Model, Regional Multiplier, Regional Multiplier Applications, Econometric Regional Models. Regional Input-Output Models, Input-Output Method, Product and Income Multipliers, Input-Output Applications. Neoclassical Models of Regional Development Inequalities. Regional Export Orientation Models. Interregional Migration, Classic Model of Labor Migration, Alternative Migration Models, Economic Impacts of Immigration.
Quantitative Methods of Regional Analysis: Regional Data. Various types of regional data, Organization of regional data, Regional data acquisition, Presentation of regional data. Descriptive Regional Data Analysis, Central Measures, Dispersion Measures, (Gini, Gini-Hirschman, Theil, Williamson, R), Lorenz Curve, Regional Concentration, Share, Interdependence, Specialization, Concentration Coefficients. Share factors (Location Quotient expressions), Entry factor, export base and export orientation templates, Specialization factor, Spatial Interdependence Coefficient. Shift-Share Analysis. Regional Demographic Models.
Urban Economics: The spatial structure of the urban economy. Concentration and clusters of activities. Globalization: cities, regions and economic policy. Modern analysis of urban and regional economic policy.
Lectures (3 hours per week)
Activity |
Semester workload |
Lectures |
39 hours (3x13) |
Non-guided study |
111 hours |
Total number of hours for the Course (25 hours of work-load per ECTS credit) |
150 hours (total student work-load) |
Use of e-class for storing education material and communicating with students.