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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. 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.pdfAghion, 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. Collier, C., Fruscio, H., Lee, H., & Tan, J. (2015). New York Apparel Cluster. Retrieved from Cambridge MA: Cortright, J. (2006). Making sense of clusters: Regional competitiveness and economic development: Brookings Institution, Metropolitan Policy Program.Datta, D. K., Guthrie, J. P., & Wright, P. M. (2005). Human resource management and labor productivity: does industry matter? Academy of management Journal, 48(1), 135-145. Delgado, M., Bryden, R., & Zyontz, S. (2015). Categorization of Traded and Local Industries in the US Economy. Harvard Business School, Institute for Strategy and Competitiveness. Delgado, M., Porter, M. E., & Stern, S. (2010). Clusters and entrepreneurship. Journal of Economic Geography, lbq010. Delgado, M., Porter, M. E., & Stern, S. (2014). Clusters, convergence, and economic performance. Research Policy, 43(10), 1785-1799. doi:http://dx.doi.org/10.1016/j.respol.2014.05.007Delgado, M., Porter, M. E., & Stern, S. (2015). Defining clusters of related industries. Journal of Economic Geography, lbv017. Ding, S. (2015). Taiwan Biotech Industry Development臺灣生物科技產業發展. Taiwan: Taiwan Executive Yuan Retrieved from 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.Dong, R. (2009). Post Financial Crisis Finaical Development and Future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. 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Taiwan Machine Tool Cluster. Retrieved from National Chengchi UniversityThe Goldman Sachs Group, I. (2011). Goldman Sachs Compensation Practices. 16. Todrin, D. (2011). Successfully Navigating the Downturn: Entrepreneur Press.Tsai, P.-J., Lin, M.-L., Chu, C.-M., & Perng, C.-H. (2009). Spatial autocorrelation analysis of health care hotspots in Taiwan in 2006. BMC Public Health, 9(1), 1. Yu, M., Hsu, C., Chen, H., Chen, J., Kuan, C., Tsai, Y., & Tsei, M. (2011). Taiwan`s industrial Development Plan台灣產業發展的規劃藍圖. Retrieved from Taipei: http://www.president.gov.tw/Portals/0/images/IntroductionROC/constitution/%E7%B8%BD%E7%B5%B1%E5%BA%9C%E8%A8%88%E7%95%AB_%E5%8F%B0%E7%81%A3%E7%94%A2%E6%A5%AD%E7%99%BC%E5%B1%95%E7%9A%84%E8%A6%8F%E5%8A%83%E8%97%8D%E5%9C%96.pdf 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 Yun en_US dc.contributor.author (Authors) 談仲光 zh_TW dc.creator (作者) 談仲光 zh_TW dc.date (日期) 2016 en_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) G0972655031 en_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) 97265503 zh_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 Contents1. Introduction 12. Research Flow 33. Contributions 54. Literature Review 124.1. Economic Growth 144.2. Economic Landscape 144.3. Agglomeration 154.4. Economic Clusters 164.5. Cluster Mapping 174.6. Spillovers 184.7. Location 194.8. Productivity – wage importance 204.9. Cluster Initiatives 214.10. Defining Regions 224.11. Diamond Analysis 234.12. The Demand for Uniting Policy Makers and Practitioners in Asia 244.13. A Versatile Tool for Effective Cluster Initiatives 255. Methodology and Framework 275.1. Qualitative Analysis 275.2. Quantitative Analyses 275.2.1. Data 285.2.2. Taiwan’s Districts 285.2.3. Analytical Framework 295.2.4. Clusters’ Dynamics with the Desired Presentations 305.2.5. Details of Growth Analysis 315.2.6. Location Quotient – Specialization Calculation 325.3. Statistic Correlations 345.4. Types of Clusters – Analyzing the Growth: 375.4.1. Dominated Clusters 385.4.2. Highly Specialized Clusters 385.4.3. Strong Clusters 395.5. Setting up a Web Tool for Users 435.6. Taiwan’s Cluster Definitions 456. Policy Decision Models – Taiwan, Europe, US 467. Taiwan’s Economic Landscape 537.1. About Taiwan 537.1.1. Taiwan’s Demographics 577.1.2. Taiwan’s Geography 587.1.3. Taiwan’ Economics 607.2. Taiwan’s Specializations 657.3. Evaluation Factors on Dynamics 677.3.1. Employment Factor 677.3.2. Revenue Factor 777.3.3. Wage Factor 818. Taiwan’s Economic Dynamics 868.1. Taiwan’s Cluster Shares 868.1.1. The Traded Clusters 898.1.2. Local Clusters 998.2. Clusters Compared to the US 1028.3. Can Taiwan Brand? 1048.4. Learning from Successful Cluster Initiatives 1078.5. Can Hsinchu Become Another Silicon Valley? 1109. Regional Analyses 1119.1. North District –Pei-Pei-Kee 1129.2. Northwest District Region – Tao-Chu-Miao 1149.3. Middle District Region – Chung-Chang-Tou 1159.4. Southwest District – Yun-Chia-Nan 1179.5. South District – Kao-Ping 1199.6. East District - Yilan, Hualien, Taitung 1229.7. Outer Island District – Penghu, Kinmen, Lienchiang 12310. Cluster Analyses and Case Studies 12510.1. Two Taiwan’s Agglomeration Models 12610.1.1. Spillovers Model - IT Cluster 12610.1.2. Supply-Chain Migration Model - Production Technology and Heavy Equipment Cluster 13410.2. Taiwan’s Biotech Initiative – a case study 13910.3. Business Service Cluster Development Potential 14611. Research Summary 14812. Conclusion 151References 162Appendix 1. - Research Background 166Appendix 2. - Data Preparation 168Appendix 3. - The US Clusters Code Definitions 172Appendix 4. - Taiwan Clusters Code Definitions 180Appendix 5. - Taiwan’s Population Density 180Appendix 6. - Propositions and Variable Relations 181Appendix 7. - District Cluster ID Scores 183Appendix 8. - Regional Level Economic Analysis 184The North District – Pei-Pei-Kee 184Northwest – Tao-Chu-Miao District 192Middle – Chung-Chang-Tou District 200Southwest –Yun-Chia-Nan District 208South – Kao-Ping District 217East District – Yilan, Hualien, Taitung 223Outer Islands District 230Appendix 9. - Other Cluster Analyses 237Distribution and Electronic Commerce 237Construction Products and Services 241Hospitality and Tourism 243Downstream Metal Products 246Transportation and Logistics 247Taiwan’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/#G0972655031 en_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 Development en_US dc.subject (關鍵詞) Cluster Mapping en_US dc.subject (關鍵詞) Economic Landscape en_US dc.subject (關鍵詞) Specializations en_US dc.subject (關鍵詞) Agglomeration en_US dc.subject (關鍵詞) Spillovers en_US dc.subject (關鍵詞) Supply-Chain Migration en_US dc.subject (關鍵詞) Dynamism en_US dc.subject (關鍵詞) Growth Analyses en_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 Effectiveness en_US dc.type (資料類型) thesis en_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.pdfAghion, 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. 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