Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/99672
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dc.contributor.advisor吳玲君<br>林月雲zh_TW
dc.contributor.advisorWu, Lin Jun<br>Lin, Yeh Yunen_US
dc.contributor.author談仲光zh_TW
dc.creator談仲光zh_TW
dc.date2016en_US
dc.date.accessioned2016-08-03T03:38:45Z-
dc.date.available2016-08-03T03:38:45Z-
dc.date.issued2016-08-03T03:38:45Z-
dc.identifierG0972655031en_US
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/99672-
dc.description博士zh_TW
dc.description國立政治大學zh_TW
dc.description亞太研究英語博士學位學程(IDAS)zh_TW
dc.description97265503zh_TW
dc.description.abstractEconomic 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.tableofcontentsTable of Contents\n1. Introduction 1\n2. Research Flow 3\n3. Contributions 5\n4. Literature Review 12\n4.1. Economic Growth 14\n4.2. Economic Landscape 14\n4.3. Agglomeration 15\n4.4. Economic Clusters 16\n4.5. Cluster Mapping 17\n4.6. Spillovers 18\n4.7. Location 19\n4.8. Productivity – wage importance 20\n4.9. Cluster Initiatives 21\n4.10. Defining Regions 22\n4.11. Diamond Analysis 23\n4.12. The Demand for Uniting Policy Makers and Practitioners in Asia 24\n4.13. A Versatile Tool for Effective Cluster Initiatives 25\n5. Methodology and Framework 27\n5.1. Qualitative Analysis 27\n5.2. Quantitative Analyses 27\n5.2.1. Data 28\n5.2.2. Taiwan’s Districts 28\n5.2.3. Analytical Framework 29\n5.2.4. Clusters’ Dynamics with the Desired Presentations 30\n5.2.5. Details of Growth Analysis 31\n5.2.6. Location Quotient – Specialization Calculation 32\n5.3. Statistic Correlations 34\n5.4. Types of Clusters – Analyzing the Growth: 37\n5.4.1. Dominated Clusters 38\n5.4.2. Highly Specialized Clusters 38\n5.4.3. Strong Clusters 39\n5.5. Setting up a Web Tool for Users 43\n5.6. Taiwan’s Cluster Definitions 45\n6. Policy Decision Models – Taiwan, Europe, US 46\n7. Taiwan’s Economic Landscape 53\n7.1. About Taiwan 53\n7.1.1. Taiwan’s Demographics 57\n7.1.2. Taiwan’s Geography 58\n7.1.3. Taiwan’ Economics 60\n7.2. Taiwan’s Specializations 65\n7.3. Evaluation Factors on Dynamics 67\n7.3.1. Employment Factor 67\n7.3.2. Revenue Factor 77\n7.3.3. Wage Factor 81\n8. Taiwan’s Economic Dynamics 86\n8.1. Taiwan’s Cluster Shares 86\n8.1.1. The Traded Clusters 89\n8.1.2. Local Clusters 99\n8.2. Clusters Compared to the US 102\n8.3. Can Taiwan Brand? 104\n8.4. Learning from Successful Cluster Initiatives 107\n8.5. Can Hsinchu Become Another Silicon Valley? 110\n9. Regional Analyses 111\n9.1. North District –Pei-Pei-Kee 112\n9.2. Northwest District Region – Tao-Chu-Miao 114\n9.3. Middle District Region – Chung-Chang-Tou 115\n9.4. Southwest District – Yun-Chia-Nan 117\n9.5. South District – Kao-Ping 119\n9.6. East District - Yilan, Hualien, Taitung 122\n9.7. Outer Island District – Penghu, Kinmen, Lienchiang 123\n10. Cluster Analyses and Case Studies 125\n10.1. Two Taiwan’s Agglomeration Models 126\n10.1.1. Spillovers Model - IT Cluster 126\n10.1.2. Supply-Chain Migration Model - Production Technology and Heavy Equipment Cluster 134\n10.2. Taiwan’s Biotech Initiative – a case study 139\n10.3. Business Service Cluster Development Potential 146\n11. Research Summary 148\n12. Conclusion 151\nReferences 162\nAppendix 1. - Research Background 166\nAppendix 2. - Data Preparation 168\nAppendix 3. - The US Clusters Code Definitions 172\nAppendix 4. - Taiwan Clusters Code Definitions 180\nAppendix 5. - Taiwan’s Population Density 180\nAppendix 6. - Propositions and Variable Relations 181\nAppendix 7. - District Cluster ID Scores 183\nAppendix 8. - Regional Level Economic Analysis 184\nThe North District – Pei-Pei-Kee 184\nNorthwest – Tao-Chu-Miao District 192\nMiddle – Chung-Chang-Tou District 200\nSouthwest –Yun-Chia-Nan District 208\nSouth – Kao-Ping District 217\nEast District – Yilan, Hualien, Taitung 223\nOuter Islands District 230\nAppendix 9. - Other Cluster Analyses 237\nDistribution and Electronic Commerce 237\nConstruction Products and Services 241\nHospitality and Tourism 243\nDownstream Metal Products 246\nTransportation and Logistics 247\nTaiwan’s Dynamic Analysis 248zh_TW
dc.format.extent3735125 bytes-
dc.format.mimetypeapplication/pdf-
dc.source.urihttp://thesis.lib.nccu.edu.tw/record/#G0972655031en_US
dc.subject經濟發展zh_TW
dc.subject經濟地貌zh_TW
dc.subject產業特色zh_TW
dc.subject擴散效應zh_TW
dc.subject產業鏈外移zh_TW
dc.subject動態zh_TW
dc.subject成長分析zh_TW
dc.subjectEconomic Developmenten_US
dc.subjectCluster Mappingen_US
dc.subjectEconomic Landscapeen_US
dc.subjectSpecializationsen_US
dc.subjectAgglomerationen_US
dc.subjectSpilloversen_US
dc.subjectSupply-Chain Migrationen_US
dc.subjectDynamismen_US
dc.subjectGrowth Analysesen_US
dc.title台灣經濟形貌: 增進公共政策效益之動態群聚模式zh_TW
dc.titleEconomic Landscape of Taiwan: Dynamic Cluster Models for Public Policy Effectivenessen_US
dc.typethesisen_US
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