In this study 18 industries in the manufacturing sector in Taiwan are taken as the research object to explore the relationship between the degree of industrial spatial agglomeration and regional economy and population characteristics This paper reviews the theoretical and empirical studies of industrial clusters and proposes an analytical framework suitable for this study based on the viewpoint of industrial spatial clusters We use Getis and Ord Gi* statistic index to calculate dependent variable Location Quotient DIV index input-output method and Pearson correlation analysis to calculate or identify independent variables and finally establish a spatial regression model In such a research framework we find that the spatial regression analysis can really clarify the relationship between industrial spatial agglomeration and regional economy and population characteristics but it should be noted that the spatial regression analysis may neglect some of the independent variables which have less relationship with dependent variables In the empirical results we clarify the relationship between the degree of industrial spatial agglomeration and the following factors including Dynamic Localization Economies Dynamic Urbanization Economies employee number average wage vertical related industries total regional population regional population growth rate Future research may include other important independent variables It can also continue to discuss the following topics for example the choice of research methods and spatial units the difference between spatial centralization location and spatial agglomeration location and whether LQ index represent Knowledge Spillovers (specialization) and so on
| Date of Award | 2019 |
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| Original language | English |
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| Supervisor | Shiann-Far Kung (Supervisor) |
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Regional Economy Characteristics on Degree of Industrial Spatial Agglomeration - Taiwan's Manufacturing Sector as an Example
華柔, 周. (Author). 2019
Student thesis: Doctoral Thesis