Quality of Life, Human Capital and the Innovativeness of European Cities
GRIN Verlag, 2010 - 80 pages
Diploma Thesis from the year 2003 in the subject Business economics - Business Management, Corporate Governance, grade: Sehr Gut, University of Applied Sciences Kufstein Tirol (International Business Studies), language: English, abstract: On the turn from an industrial to a knowledge based economy the rules of economic geography have changed significantly. Human capital and a high quality of life which attracts it have become the most important factors for urban economic growth. The goal of the study was to find out whether there is evidence for the hypothesis that European cities with a high quality of life are more innovative. The reasoning is that a nice living environment attracts educated people, which in the next step lures knowledge-based companies and stirs innovative activity. The results of the statistical analysis carried out by the author prove the hypothesis that quality of life and innovativeness are connected. Specifically a good environmental quality directly supports the production of scientific articles. Together with a high-educated labor force it also attracts innovative high-tech companies, which increase the production of patents. An overall high quality of life and a high income level attract educated people and increase the knowledge base of a city. However, a city does not necessarily have to be rich in monetary resources to achieve a good innovative performance. In fact, the quality of life predicts the innovativeness of European cities better than the income level. Despite these findings the author also found evidence that a good environmental condition as well as learning effects through industry agglomeration increase the efficiency of knowledge workers. Cities that are home to a big number of high-tech companies and offer a nice environment produce considerably more patents per invested R&D money than other cities. The results of the study suggest that city officials should turn away from attracting high-tech companies by mo
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amenities Arthur Andersen attract educated attract knowledge workers Attracting high-tech companies Audit EU Urban Austrian economic base of population business R&D expenditure calculation Carnegie Mellon University city’s competitiveness Cushman & Wakefield dependent variables economic growth educated labor educated professionals educated workers education index educational level environmental condition environmental quality EU regions European cities European Patent Office European Union EUROSTAT expenditure on R&D Figure high number high quality high-educated higher highly educated hypothesis important factors income level indicators Innovation Scoreboard Jane Jacobs knowledge base knowledge economy knowledge intensive companies knowledge spillovers knowledge-based companies Koeffizientena Standardf Kufstein latest data available Living Index low educated measure Mercer International million workers number of educated number of patents number of scientific OECD P-value patent activity patents per million pool of educated Quality of Living R&D efficiency regions research and development scientific articles scientific citations score high sectors significant Source Urban Audit WIFO