Abstract
Declaration
Acknowledgements
1
Introduction
1.1
Background and Motivation
1.2
Research Question and Objectives
1.3
Report Structure
2
Literature Review
2.1
Industrial Cluster and Tech Cluster
2.2
Industry and Cluster Dynamics
2.3
Industry Concentration
2.4
Other Factors and Dynamics Pattern
2.5
Conclusion
3
Methodology
3.1
Research Framework
3.2
Data Source and Processing
3.3
Identifying Tech Clusters
3.4
Data Selection
3.4.1
Time Range (Temporal Dimension)
3.4.2
Cluster Boundary (Spatial Dimension)
3.5
Quatitative Analysis and Methods
3.5.1
Dynamics Measuring Index
3.5.2
Industry Mix Measuring Index
3.5.3
Regression
3.5.4
Global Autocorrelation (Moran’s I)
3.5.5
Hot-Spot Analysis (Getis-Ord Gi*)
3.6
Limitations
3.7
Ethical Statement
4
Results
4.1
Spatial and Temporal Distribution
4.1.1
Tech Cluster Dynamics
4.1.2
Tech Industry Concentration
4.2
Regression Analysis
4.3
Spatial Autocorrelation
4.3.1
LISA Analysis of Firms Dynamics
4.3.2
Hot-Spot Analysis of Firms Dynamics
5
Discussion
5.1
Reflection on Results
5.1.1
Spatio-Temporal Distribution
5.1.2
Firm Dynamics and Influence Factors
5.1.3
Spatio-Temporal Cluster Analysis for Two Indicators
5.2
Limitations and Transferability
5.3
Recommendations
5.3.1
Corporate Decision-Making and Investment
5.3.2
Government Policy and Strategy
6
Conclusion
References
Appendix A Data Source
Appendix B Research Log
Spatial Pattern Mining of Tech Clusters of Dynamics and Industry Mix Based on Quantitative Methods in England Area, UK
Abbreviations
Term
Abbreviation
Travel to Work Area
TTWA
Herfindahl-Hirschman Index
HHI
Local Indicators of Spatial Association
LISA
Ordinary Least Squares
OLS