• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site
For visually-impairedFor visually-impairedUser profile (HSE staff only)Search
Advanced search
Menu
HSE University
User profile (HSE staff only)Search
Advanced search

Course Syllabus

Master 2021/2022

Research Seminar "Development of Urban and Industrial Areas"

Category 'Best Course for Career Development'
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Category 'Best Course for New Knowledge and Skills'
Type: Compulsory course (Urban Development and Governance)
Area of studies: Public Administration
Delivered by: Department of Public Administration
Where: Saint-Petersburg School of Social Sciences
When: 1 year, 3, 4 module
Mode of studies: offline
Open to: students of one campus
Instructors: Elizaveta Kolchinskaya, Leonid E. Limonov, Olga Rusetskaya
Master’s programme: Urban Development and Governance
Language: English
ECTS credits: 6
Contact hours: 40

Course Syllabus

Full Syllabus

Abstract

This global class is a joint course of Florida State University (FSU) and Higher School of Economics (HSE), St Petersburg, Russia. It embraces cluster-oriented economic development strategies in a global setting. Industrial clusters are co-location of firms and workers in related industries, with Silicon Valley as a famous example. In recent years, many nations and regions have adopted cluster-promoting strategies to encourage local economic development, create jobs, boost innovation and prompt entrepreneurship. In this course, we take a project-based approach and center around cross-continental joint projects to explore effective ways of cluster development, apply comprehensive methods to track the performance of industrial clusters, and formulate policy recommendations to improve their functionality.
Learning Objectives

Learning Objectives

  • In this course, student will explore effective ways of cluster development, applies comprehensive methods to track the performance of industrial clusters, and formulates policy recommendations to improve their functionality. In this course, we’ll take a project-based approach and center around cross-continental joint projects to explore effective ways of urban economic development, apply comprehensive methods to track the performance of different regions, and formulate policy recommendations to improve local development, create jobs, boost innovation and prompt entrepreneurship.
Expected Learning Outcomes

Expected Learning Outcomes

  • Applies Hot-Spot Analysis
  • Applies location quotient
  • Applies Network Analysis (SNA)
  • Applies Regression Analysis
  • Applies Shift-Share Analysis
  • Applies speaking skills (introdusing project)
  • Evaluates economic development
  • Evaluates industrial clusters
  • Evaluates Industrial development’s support
  • Evaluates urban agglomeration
Course Contents

Course Contents

  • Economic Development
  • Urban Agglomeration Theory
  • Industrial Clusters
  • Land Use Policies to Support Industrial Development
  • Location Quotient
  • Shift-Share Analysis
  • Regression Analysis
  • Hot-Spot Analysis
  • Network Analysis & Development Strategies and Policies
  • Final Project Presentation
Assessment Elements

Assessment Elements

  • non-blocking Activity in the classroom
  • non-blocking Presentation about the article
  • non-blocking Research project
  • non-blocking Collaboration with US students
Interim Assessment

Interim Assessment

  • 2021/2022 4th module
    0.3 * Activity in the classroom + 0.2 * Presentation about the article + 0.2 * Collaboration with US students + 0.3 * Research project
Bibliography

Bibliography

Recommended Core Bibliography

  • Capello, R. (2017). Seminal Studies in Regional and Urban Economics : Contributions From an Impressive Mind. Cham, Switzerland: Springer. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1613464
  • Handbook of Regional Science. (2014). Springer. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsnar&AN=edsnar.oai.research.vu.nl.publications.01612c80.e993.4bc1.be5a.73176f513efa

Recommended Additional Bibliography

  • Beaudry, C., & Breschi, S. (2003). Are firms in clusters really more innovative? Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.D6FA4E7A
  • Brenner, T., & Schlump, C. (2011). Policy Measures and Effects in the Different Phases of the Cluster Life-Cycle. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.43308048
  • Duranton, G., & Overman, H. G. (2005). Testing for Localization Using Micro-Geographic Data. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.DE6541C7
  • Mercedes Delgado, Michael E. Porter, & Scott Stern. (2016). Defining clusters of related industries. Journal of Economic Geography, (1), 1. https://doi.org/10.1093/jeg/lbv017