Björn Hårsman

On occupation structure and location pattern in the stockholm region

Abstract An entropy model is used to decompose employment changes into effects of industry, occupation and region. The results from an application to Sweden indicate that metropolitan areas in general, and Stockholm in particular, have locational-advantages in knowledge-oriented activities. The location of employment and firms in the Stockholm region is analyzed by using both an entropy model and a logit model. The results demonstrate the importance of introducing different measures of accessibility. The location of knowledge-oriented activities is shown to be significantly influenced by the location pattern of the labour force.

Worker and Workplace Heterogeneity and Residential Location: A Historical Perspective on Stockholm

Most studies of the role of transportation in residential location assume that an individual’s human capital and labor force experience are of no relevance to the location of his or her worksite and to the tradeoff between commuting and housing costs. Recent models often assume a polycentric metropolitan area and do recognize non-central workplace concentrations, but concentrations are undifferentiated by industry or occupation. Traditional traffic models rely upon the number of jobs and workers in different subareas, distance costs, income and sometimes age and family type to explain an observed commuting pattern. It is implicitly assumed that all workers are equally attracted to all kinds of jobs and that, moreover, all workers have the same chance of getting any job.

Complexity, scientific creativity and clustering

Contents:PART I URBAN CREATIVITY AND GROWTH1. Complexity, Scientific Creativity and ClusteringAke E. Andersson, David Emanuel Andersson, Bjorn Harsman and Zara Daghbashyan2. Agglomeration Economies and Smart CitiesAna Maria Bonomi Barufi and Karima Kourtit3. Smart Specialization Strategies and Smart Cities: An Evidence-Based Assessment of EU policies Andrea Caragliu and Chiara F. Del Bo4. Agglomeration Economies in Large vs. Small Cities: Similar Laws, High SpecifitiesRoberto Camagni, Roberta Capello and Andrea CaragliuPART II CITIES, INNOVATION AND PRODUCTIVITY5. Multi-Actor Analysis of Metropolitan Performance AnalysisKarima Kourtit, Miruna Mazurencu and Peter Nijkamp6. Entrepreneurial Governance for Local GrowthAmy Rader Olsson, Hans Westlund and Johan P. Larsson7. Cities as Seedbeds of Responsible InnovationMarina van Geenhuizen and Qing Ye8. Innovation Capacity, Workforce Diversity and Intra-industrial Externalities: A Study on German EstablishmentsStephan Brunow and Valentina Nafts PART III URBAN SYSTEMS, INFRASTRUCTURE AND SUSTAINABLE DEVELOPMENT9. Exploring Surface Transportation Impact on Economic Output: A Panel Granger Causality Test Zhenhua Chen and Kingsley Haynes10. An Accessibility Index for the Metropolitan Region of Sao PauloRenato S. Vieira and Eduardo A. Haddad11. Urbanization and Quality of Life: An Overview of Health Impacts of Urban and Rural Residential PatternsNoriko Ishikawa, Karima Kourtit and Peter Nijkamp12. Dynamic Analysis on Energy Rebound Effects in Megacities: Evidence from Beijing and Shanghai, China (1990-2011) Yuyuan Wen13. How Should Cities Manage Economic Development? Highlights from Theory and PracticeMarlon G. Boarnet and Richard K. GreenIndex

High Technology Worker Mobility

The most important institution and the driving force of Francis Bacon’s utopian society Bensalem was a scientific foundation called Salomo’s house. Hopefully, science will never become as dominant as Bacon prophesied. However, the ongoing structural transformation of the world economy certainly indicates a strongly increasing knowledge orientation.