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 monetary means and should instead concentrate on improving quality of life, especially stressing environmental cleanness. This should increase the source, which knowledge-based companies really look for in a knowledge based market place, highly educated professionals.
Table of Contents
1. Introduction
1.1. Background
1.2. Goal of the study - Hypothesis
1.3. Research concept
1.4. Report structure
2. Human Capital Attraction Theory
2.1. Knowledge – Raw material of the 21st century
2.1.1. Defining knowledge
2.1.2. The central role of human capital
2.1.3. The war for talent
2.2. Connecting attractiveness of location and the knowledge base
2.3. Connecting knowledge base of population and the knowledge intensity of industry
2.3.1. Attracting high-tech companies
2.3.2. Increasing the chance of innovative start-up companies
2.4. Further competitiveness through knowledge spillovers
2.4.1. The concept of knowledge spillovers
2.4.2. Geographical impact of knowledge spillovers
2.4.3. Types of knowledge spillovers
2.4.4. Consequences
2.5. Connecting knowledge-intensity of industry and innovation
3. Research and Study Design
3.1. Theoretical concept
3.2. Evidence from US cities
3.3. Data collection and sources
3.4. Independent variables
3.4.1. Quality of Living Index 2002
3.4.2. Environment Index 2002
3.4.3. Other quality of life indicators
3.5. Dependent variable
3.5.1. Patents per million workers 1999
3.5.2. Science Citations Index (SCI)
3.6. Intermediary variables
3.6.1. Knowledge base of population – Education Index
3.6.2. Knowledge intensity of local industry – Business R&D expenditure
3.6.3. Percentage of employment in technology oriented sectors
3.7. Interfering variable
3.8. The model
3.9. Statistical tools
4. Findings
4.1. Summary
4.2. Quality of life, R&D, and the innovativeness of cities
4.2.1. Explaining the number of scientific citations
4.2.2. Explaining the number of patents
4.3. Quality of life, income and knowledge workers
4.4. Quality of life, knowledge workers, and the high-tech industry
4.5. Quality of life and R&D productivity
5. Conclusion
5.1. Quality of life and innovativeness are connected
5.2. Validity of study
5.2.1. Sample size
5.2.2. Regional vs. city level data
5.2.3. Quality of life - subjective vs. objective criteria
5.2.4. Educational level
5.2.5. Research and development spending
5.2.6. Direction of causality
5.3. Implications and Recommendations
5.3.1. Stop attracting companies by monetary means
5.3.2. Invest in quality of life
5.3.3. Create a learning environment
5.4. Areas for further research
Objectives and Research Themes
The primary goal of this study is to investigate whether there is empirical evidence for the hypothesis that European cities with a high quality of life are more innovative. The research explores the complex relationships between quality of life, the attraction of human capital, and the subsequent innovative performance of regional economies.
- The impact of quality of life on attracting highly educated professionals.
- The link between a high concentration of skilled workers and the accumulation of knowledge-based companies.
- The connection between research intensity and regional innovative performance.
- The role of "knowledge spillovers" in regional competitiveness.
- The shift in economic development strategies from monetary incentives to quality-of-life investments.
Excerpt from the Book
1.1. Background
Instead of offering tax brakes to attract new companies farsighted cities now invest in environmental protection and the local music scene. Cars are being banned from inner cities and street artists are explicitly welcome in order to create a nice and entertaining atmosphere.
Times and rules have changed in the transition from an industrial to a knowledge-based economy; a shift that has not only led to huge layoffs in the production sector and gains for high-tech companies and the new economy. In this respect, it also changed the rules for economic growth of cities and regions. The emphasis is now on the creation of new ideas produced by highly educated professionals. It is the time of creative knowledge workers that stir economic growth by finding groundbreaking new solutions rather than improving existing technologies. A high quality of life has become critical for a region to attract human capital, the new engine of economic growth.
Summary of Chapters
1. Introduction: Presents the background of the shift toward knowledge-based economies and outlines the study's central hypothesis regarding the innovativeness of European cities.
2. Human Capital Attraction Theory: Explains the theoretical framework connecting urban attractiveness, human capital accumulation, and the formation of knowledge-intensive industries.
3. Research and Study Design: Describes the statistical model, the variables used (such as the Quality of Living Index), and the methodology for analyzing European city performance.
4. Findings: Details the empirical results, confirming the connection between quality of life, environment, and innovative output like patents and scientific citations.
5. Conclusion: Summarizes the study's insights, validates the results, and offers actionable recommendations for policy makers to foster competitive learning environments.
Keywords
Human Capital, Quality of Life, Innovativeness, European Cities, Knowledge-based Economy, Knowledge Spillovers, R&D Expenditure, Patents, Scientific Citations, Regional Competitiveness, Education Index, Agglomeration Effects, Urban Development, Intellectual Capital, Talent Attraction.
Frequently Asked Questions
What is the core focus of this research?
The research examines the correlation between a high quality of life in European cities and their innovative performance, positing that amenities and environmental factors are key drivers of economic growth.
What are the primary themes discussed?
Central themes include the attraction of "knowledge workers," the importance of high-tech company agglomeration, the role of education, and the shift away from monetary-based corporate attraction strategies.
What is the main hypothesis of the study?
The study tests the hypothesis that European cities offering a high quality of life are inherently more innovative because they successfully attract the human capital required for a knowledge-based economy.
Which research methodology does the author use?
The author utilizes quantitative statistical analysis, employing correlation models and linear regressions to test data collected from various European cities across several variables.
What topics are covered in the main body?
The main body covers the Human Capital Attraction Theory, the statistical design, the impact of environmental quality on R&D efficiency, and the role of patent production and scientific citations as innovation indicators.
Which keywords best describe this work?
Key terms include Human Capital, Quality of Life, Innovativeness, Knowledge-based Economy, and Regional Competitiveness.
How does the "Environment Index" affect city innovation?
The study finds a strong, significant positive correlation between environmental quality and scientific output, suggesting that a clean and pleasant environment is essential for scientific innovation.
Is income level more important than quality of life for innovation?
No, the findings indicate that income level (GDP) has a limited role compared to quality of life. Soft factors like cultural amenities and environment are more significant predictors of regional innovation.
- Citar trabajo
- Roland Spitzlinger (Autor), 2003, Quality of Life, Human Capital and the Innovativeness of European Cities, Múnich, GRIN Verlag, https://www.grin.com/document/151236
