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研究生: 張浩偉
Chang, Hao Wei
論文名稱: 臺灣服務部門產業共同群聚之實證研究
An Empirical Study on Industrial Coagglomeration of Taiwan Service Sectors
指導教授: 祁玉蘭
Chyi, Yih Luan
口試委員: 祁玉蘭
李宜
劉文獻
學位類別: 碩士
Master
系所名稱: 科技管理學院 - 經濟學系
Department of Economics
論文出版年: 2015
畢業學年度: 103
語文別: 中文
論文頁數: 40
中文關鍵詞: 服務產業產業共同群聚
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  • 本文旨在針對臺灣服務業之共同群聚現象進行研究與分析。首先,本文利用Ellison and Glaeser(1997)提出之產業共同群聚指標衡量臺灣服務產業之共同群聚程度,發現臺灣地區約有七成以上之兩兩配對產業屬於低度的共同群聚程度,顯示出臺灣服務產業整體而言,共同群聚現象並不算是非常的明顯。接著,進行臺灣服務產業之共同群聚現象的相關實證分析與探討。在實證結果的部分,本文發現在影響臺灣服務產業共同群聚現象的原因之中,Marshall(1920)提出之「投入產出關係」與「勞動市場匯集」的確對於產業之間共同群聚的現象存在著出正向且顯著的影響。然而,在「知識外溢效果」的部分,則呈現不顯著的結果。再者,考量Kolko(2010)提出之「資訊技術的程度」會影響到服務產業共同群聚現象的部分,本文亦得到了與文獻中一致的結果。


    This thesis discusses the industrial coagglomeration of Taiwan service sectors, and provides an empirical analysis to test Marshall's theories of industrial agglomeration. First, we measure the level of industrial coagglomeration for Taiwan service sectors by adopting the index developed by Ellison and Glaeser, and find that there are more than seventy percent service industry pairs fall in the "not very coagglomerated" ranges. Next, we construct an empirical framework to exam Marshall's theories of industrial agglomeration. The results show that input-output linkage and labor market pooling both have positive and significant effects, while knowledge spillover has no significant effect on the industrial coagglomeration of Taiwan service sectors. Finally, we consider the impact of information technology on industrial coagglomeration, and we find a consistent result with the theory and empirical result developed by Kolko.

    摘要 Abstract 誌謝 目錄 表目錄 圖目錄 第一章:緒論 第二章:文獻回顧 第三章:服務業共同群聚現象 第四章:實證分析 第五章:結論與建議 參考文獻

    Combes, Pierre-Philippe, and Gilles Duranton. 2006. “Labour Pooling, Labour Poaching, and Spatial Clustering.” Regional Science and Urban Economics, 36(1): 1–28.
    Dahl, Michael S., and Steven Klepper. 2007. “Who Do New Firms Hire?” Unpublished.
    Ellison, Glenn, and Edward L. Glaeser. 1997. “Geographic Concentration in U.S. Manufacturing Industries: A Dartboard Approach.” Journal of Political Economy, 105(5): 889–927.
    Ellison, Glenn, Edward L. Glaeser, and William R. Kerr. 2010. “What causes industry agglomeration? Evidence from coagglomeration patterns.” American Economic Review, 100(3):1195-1213.
    Gallagher, Ryan M. 2013. “Shipping Costs, Information Costs, and the Sources of Industrial Coagglomeration.” Journal of Regional Science, 53(2): 304-331
    Hausman, Jerry A. 1978. “Specification Tests in Econometrics”. Econometrica, 46(6), 1251-1271
    Helsley, Robert W., and William C. Strange. 1990. “Matching and Agglomeration Economies in a System of Cities.” Regional Science and Urban Economics, 20(2): 189–212.
    Kolko, Jed. 2010. “Urbanization, Agglomeration, and Coagglomeration of Service Industries.” Chapter 5 in Glaeser, E.L. (ed), Agglomeration Economics,Chicago: University of Chicago Press for the NBER, 151-180.
    Krugman, Paul. 1991a. geography and Trade. Cambridge, MA: MIT Press.
    Krugman, Paul. 1991b. “Increasing Returns and Economic Geography.” Journal of Political Economy, 99(3): 483–99.
    Lu, Jiangyong, and Zhigang Tao. 2009. “Trends and Determinants of China's Industrial agglomeration.” Journal of Urban Economics, 65, 167-180.
    Marshall, Alfred. 1920. Principles of Economics. London: MacMillan.
    Rosenthal, Stuart S., and William C. Strange. 2001. “The Determinants of Agglomeration.” Journal of Urban Economics, 50(2): 191–229.
    Rosenthal, Stuart S., and William C. Strange. 2003. “Geography, Industrial Organization, and Agglomeration.” Review of Economics and Statistics, 85(2): 377–93.
    Richardson, Harry W. 1995. “Economies and diseconomies of agglomeration.” in Urban Agglomeration and Economic Growth Ed. H Giersch (Springer, Berlin), 123- 155
    Saxenian, AnnaLee. 1996. Regional Advantage: Culture and Competition in Silicon Valley and Route 128. Cambridge, MA: Harvard University Press.
    Saxenian, AnnaLee. 2006. The New Argonauts: Regional Advantage in a Global Economy. Cambridge, MA: Harvard University Press.
    Scherer, Frederic M. 1984. “Using Linked Patent and R&D Data to Measure Interindustry Technology Flows.” In R&d, Patents, and Productivity, ed. Zvi Griliches, 417–61. Chicago: University of Chicago Press.

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