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題名 台灣經濟形貌: 增進公共政策效益之動態群聚模式
Economic Landscape of Taiwan: Dynamic Cluster Models for Public Policy Effectiveness
作者 談仲光
貢獻者 吳玲君<br>林月雲
Wu, Lin Jun<br>Lin, Yeh Yun
談仲光
關鍵詞 經濟發展
經濟地貌
產業特色
擴散效應
產業鏈外移
動態
成長分析
Economic Development
Cluster Mapping
Economic Landscape
Specializations
Agglomeration
Spillovers
Supply-Chain Migration
Dynamism
Growth Analyses
日期 2016
上傳時間 3-Aug-2016 11:38:45 (UTC+8)
摘要 Economic dynamics have been driven in a high pace, and understanding the trajectory of the economics is important. Technology advancement and globalization have triggered a paradigm shift in the recent economic growths from a supply-driven to demand-driven market. The change greatly impacted the policy makers’ decision flow to make effective policies in a timely base. Three economic policy decision models: top-down, bottom-up, and interactive, are researched and compared in this paper to reflect the differences. This research utilizes cluster mapping framework and growth dynamics to derive Taiwan’s economic landscape and agglomeration models. Through the analyses of cluster dynamism, challenges and potentials are pointed out, and a graphical tool is designed to unite policy makers, practitioners, and researchers for effective economic development initiatives. Finally, a conclusion is made with recommendations on Taiwan’s cluster initiatives.
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Audretsch, D. B., & Feldman, M. P. (2004). Knowledge spillovers and the geography of innovation. Handbook of regional and urban economics, 4, 2713-2739.
Bathelt, H. (2008). Clusters and regional development: Critical reflections and explorations. Economic Geography, 84(1), 109-112.
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台灣金融論壇系列-後金融海嘯時代金融發展現況與展望
引言報告. Retrieved from Taipei: http://www.tfsr.org.tw/Uploads/uploads/%E5%BE%8C%E9%87%91%E8%9E%8D%E6%B5%B7%E5%98%AF%E6%99%82%E4%BB%A3%E9%87%91%E8%9E%8D%E7%99%BC%E5%B1%95%E7%8F%BE%E6%B3%81%E8%88%87%E5%B1%95%E6%9C%9B_%E7%A0%94%E7%A9%B6%E5%A0%B1%E5%91%8A.pdf
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描述 博士
國立政治大學
亞太研究英語博士學位學程(IDAS)
97265503
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0972655031
資料類型 thesis
dc.contributor.advisor 吳玲君<br>林月雲zh_TW
dc.contributor.advisor Wu, Lin Jun<br>Lin, Yeh Yunen_US
dc.contributor.author (Authors) 談仲光zh_TW
dc.creator (作者) 談仲光zh_TW
dc.date (日期) 2016en_US
dc.date.accessioned 3-Aug-2016 11:38:45 (UTC+8)-
dc.date.available 3-Aug-2016 11:38:45 (UTC+8)-
dc.date.issued (上傳時間) 3-Aug-2016 11:38:45 (UTC+8)-
dc.identifier (Other Identifiers) G0972655031en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/99672-
dc.description (描述) 博士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 亞太研究英語博士學位學程(IDAS)zh_TW
dc.description (描述) 97265503zh_TW
dc.description.abstract (摘要) Economic dynamics have been driven in a high pace, and understanding the trajectory of the economics is important. Technology advancement and globalization have triggered a paradigm shift in the recent economic growths from a supply-driven to demand-driven market. The change greatly impacted the policy makers’ decision flow to make effective policies in a timely base. Three economic policy decision models: top-down, bottom-up, and interactive, are researched and compared in this paper to reflect the differences. This research utilizes cluster mapping framework and growth dynamics to derive Taiwan’s economic landscape and agglomeration models. Through the analyses of cluster dynamism, challenges and potentials are pointed out, and a graphical tool is designed to unite policy makers, practitioners, and researchers for effective economic development initiatives. Finally, a conclusion is made with recommendations on Taiwan’s cluster initiatives.zh_TW
dc.description.tableofcontents Table of Contents
1. Introduction 1
2. Research Flow 3
3. Contributions 5
4. Literature Review 12
4.1. Economic Growth 14
4.2. Economic Landscape 14
4.3. Agglomeration 15
4.4. Economic Clusters 16
4.5. Cluster Mapping 17
4.6. Spillovers 18
4.7. Location 19
4.8. Productivity – wage importance 20
4.9. Cluster Initiatives 21
4.10. Defining Regions 22
4.11. Diamond Analysis 23
4.12. The Demand for Uniting Policy Makers and Practitioners in Asia 24
4.13. A Versatile Tool for Effective Cluster Initiatives 25
5. Methodology and Framework 27
5.1. Qualitative Analysis 27
5.2. Quantitative Analyses 27
5.2.1. Data 28
5.2.2. Taiwan’s Districts 28
5.2.3. Analytical Framework 29
5.2.4. Clusters’ Dynamics with the Desired Presentations 30
5.2.5. Details of Growth Analysis 31
5.2.6. Location Quotient – Specialization Calculation 32
5.3. Statistic Correlations 34
5.4. Types of Clusters – Analyzing the Growth: 37
5.4.1. Dominated Clusters 38
5.4.2. Highly Specialized Clusters 38
5.4.3. Strong Clusters 39
5.5. Setting up a Web Tool for Users 43
5.6. Taiwan’s Cluster Definitions 45
6. Policy Decision Models – Taiwan, Europe, US 46
7. Taiwan’s Economic Landscape 53
7.1. About Taiwan 53
7.1.1. Taiwan’s Demographics 57
7.1.2. Taiwan’s Geography 58
7.1.3. Taiwan’ Economics 60
7.2. Taiwan’s Specializations 65
7.3. Evaluation Factors on Dynamics 67
7.3.1. Employment Factor 67
7.3.2. Revenue Factor 77
7.3.3. Wage Factor 81
8. Taiwan’s Economic Dynamics 86
8.1. Taiwan’s Cluster Shares 86
8.1.1. The Traded Clusters 89
8.1.2. Local Clusters 99
8.2. Clusters Compared to the US 102
8.3. Can Taiwan Brand? 104
8.4. Learning from Successful Cluster Initiatives 107
8.5. Can Hsinchu Become Another Silicon Valley? 110
9. Regional Analyses 111
9.1. North District –Pei-Pei-Kee 112
9.2. Northwest District Region – Tao-Chu-Miao 114
9.3. Middle District Region – Chung-Chang-Tou 115
9.4. Southwest District – Yun-Chia-Nan 117
9.5. South District – Kao-Ping 119
9.6. East District - Yilan, Hualien, Taitung 122
9.7. Outer Island District – Penghu, Kinmen, Lienchiang 123
10. Cluster Analyses and Case Studies 125
10.1. Two Taiwan’s Agglomeration Models 126
10.1.1. Spillovers Model - IT Cluster 126
10.1.2. Supply-Chain Migration Model - Production Technology and Heavy Equipment Cluster 134
10.2. Taiwan’s Biotech Initiative – a case study 139
10.3. Business Service Cluster Development Potential 146
11. Research Summary 148
12. Conclusion 151
References 162
Appendix 1. - Research Background 166
Appendix 2. - Data Preparation 168
Appendix 3. - The US Clusters Code Definitions 172
Appendix 4. - Taiwan Clusters Code Definitions 180
Appendix 5. - Taiwan’s Population Density 180
Appendix 6. - Propositions and Variable Relations 181
Appendix 7. - District Cluster ID Scores 183
Appendix 8. - Regional Level Economic Analysis 184
The North District – Pei-Pei-Kee 184
Northwest – Tao-Chu-Miao District 192
Middle – Chung-Chang-Tou District 200
Southwest –Yun-Chia-Nan District 208
South – Kao-Ping District 217
East District – Yilan, Hualien, Taitung 223
Outer Islands District 230
Appendix 9. - Other Cluster Analyses 237
Distribution and Electronic Commerce 237
Construction Products and Services 241
Hospitality and Tourism 243
Downstream Metal Products 246
Transportation and Logistics 247
Taiwan’s Dynamic Analysis 248
zh_TW
dc.format.extent 3735125 bytes-
dc.format.mimetype application/pdf-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0972655031en_US
dc.subject (關鍵詞) 經濟發展zh_TW
dc.subject (關鍵詞) 經濟地貌zh_TW
dc.subject (關鍵詞) 產業特色zh_TW
dc.subject (關鍵詞) 擴散效應zh_TW
dc.subject (關鍵詞) 產業鏈外移zh_TW
dc.subject (關鍵詞) 動態zh_TW
dc.subject (關鍵詞) 成長分析zh_TW
dc.subject (關鍵詞) Economic Developmenten_US
dc.subject (關鍵詞) Cluster Mappingen_US
dc.subject (關鍵詞) Economic Landscapeen_US
dc.subject (關鍵詞) Specializationsen_US
dc.subject (關鍵詞) Agglomerationen_US
dc.subject (關鍵詞) Spilloversen_US
dc.subject (關鍵詞) Supply-Chain Migrationen_US
dc.subject (關鍵詞) Dynamismen_US
dc.subject (關鍵詞) Growth Analysesen_US
dc.title (題名) 台灣經濟形貌: 增進公共政策效益之動態群聚模式zh_TW
dc.title (題名) Economic Landscape of Taiwan: Dynamic Cluster Models for Public Policy Effectivenessen_US
dc.type (資料類型) thesisen_US
dc.relation.reference (參考文獻) Acemoglu, D., Akcigit, U., Bloom, N., & Kerr, W. R. (2013). Innovation, reallocation and growth. Retrieved from http://www.nber.org/papers/w18993.pdf
Aghion, P., & Howitt, P. (1998). Market structure and the growth process. Review of Economic Dynamics, 1(1), 276-305.
Asheim, B., Cooke, P., & Martin, R. (2006). The rise of the cluster concept in regional analysis and policy. Clusters and regional development: critical reflections and explorations, 1-29.
Audretsch, D. B., & Aldridge, T. T. (2008). 4 The knowledge spillover theory of entrepreneurship and spatial clusters. Handbook of Research on Cluster Theory, 1, 67.
Audretsch, D. B., & Feldman, M. P. (1996). R&D spillovers and the geography of innovation and production. The American economic review, 86(3), 630-640.
Audretsch, D. B., & Feldman, M. P. (2004). Knowledge spillovers and the geography of innovation. Handbook of regional and urban economics, 4, 2713-2739.
Bathelt, H. (2008). Clusters and regional development: Critical reflections and explorations. Economic Geography, 84(1), 109-112.
Belussi, F. (2006). In search of a useful theory of spatial clustering. Clusters and Regional Development, 69-89.
Blundell, D. (2012). Taiwan Since Martial Law: Society, Culture, Politics, Economy: UC Berkeley, Taiwan University Press.
Bracker, J., & Pearson, J. N. (1986). Planning and financial performance of small, mature firms. Strategic Management Journal, 7(6), 503-522.
Canina, L., Enz, C. A., & Harrison, J. S. (2005). Agglomeration efects and strategic orientations: Evidence from the US lodging industry. Academy of management Journal, 48(4), 565-581.
Chen, C. (2014). 2014Taiwan Cluster Mapping (2014台灣產業群聚發展地圖(). Hsingchu: ITRI IEK.
Chen, C. (2015) Cosmetic Facial Product in Tainan/Interviewer: J. Tan.
Christensen, C., Horn, M. B., & Johnson, C. W. (2008). Disrupting Class: How Disruptive Innovation Will Change the Way the World Learns. PW Review Annex, 4-4.
Christensen, C. M. (1997). The innovator`s dilemma : when new technologies cause great firms to fail. Boston, Mass.: Harvard Business School Press.
Chyi, Y.-L., Lai, Y.-M., & Liu, W.-H. (2012). Knowledge spillovers and firm performance in the high-technology industrial cluster. Research Policy, 41(3), 556-564.
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