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    Title: 台灣晶圓代工廠商效率分析:與國際大型廠商比較之全球化視角
    Efficiency Analysis of Taiwan’s Wafer Foundries: A Comparison with the World’s Leading Firms from a Global Perspective
    Authors: 鄭安晴
    Cheng, An-Ching
    Contributors: 鄭士卿
    Jeng, Shih-Ching
    鄭安晴
    Cheng, An-Ching
    Keywords: 晶圓代工
    效率分析
    資料包絡分析法
    全球化
    規模差異
    Foundry
    Efficiency Analysis
    Data Envelopment Analysis
    International Comparison
    Firm Size
    Date: 2025
    Issue Date: 2025-09-01 16:02:46 (UTC+8)
    Abstract: 近年來隨著科技應用快速發展,全球對晶片需求持續攀升,進一步凸顯半導體供應鏈之重要性。台灣晶圓代工產業在全球半導體供應鏈中占有關鍵地位,長年維持市佔第一,為我國科技與經濟發展之重要支柱。隨著全球市場需求與技術演進,我國廠商面臨來自國際大型業者的激烈競爭,如何提升生產效率與營運表現,已成為產業永續發展之關鍵課題。本文聚焦於2014年至2023年間我國晶圓代工廠商與國際間大型晶圓代工廠商,採用資料包絡分析法(DEA),探討其在總技術效率、純技術效率與規模效率之表現,並進一步分析樣本組成與規模差異對效率評估的影響。
    實證結果顯示,我國廠商在納入國際樣本後,總技術效率與純技術效率表現僅呈現小幅下滑,反映出我國晶圓代工產業具備穩健之運作基礎與生產條件,規模效率甚至略有提升。此外,不同規模廠商間存在顯著效率差異,大型廠商間效率差異顯著,整體表現易因個別廠商波動所影響;中型廠商效率水準易受景氣波動影響;小型廠商則相對穩定,整體表現波動最小。研究結果有助於理解我國晶圓代工廠商在全球競爭環境中的效率表現,並為未來政策與企業資源配置提供實證參考。
    In recent years, the rapid development of technology has increased global chip demand, highlighting the importance of the semiconductor supply chain. Taiwan’s foundry industry, holding the largest market share, plays a crucial role in the global semiconductor ecosystem and serves as a pillar of the nation’s technological and economic development. As demand rises and technologies evolve, Taiwanese foundries face intense competition from global leaders. Thus, enhancing production efficiency and operational performance has become vital for maintaining competitiveness. This study evaluates the efficiency of Taiwanese foundries and the world’s leading foundries from 2014 to 2023 using Data Envelopment Analysis (DEA). It examines technical, pure technical, and scale efficiencies, and explores how firm size and sample composition affect efficiency outcomes.
    The results show that, despite the inclusion of global competitors, Taiwanese firms’ total and pure technical efficiency declined only slightly, whale scale efficiency showed a slight improvement. Efficiency differences across firm sizes are evident: large firms are affected by performance volatility due to individual firm fluctuations, medium-sized firms are more sensitive to economic cycles, and small firms maintain the most stable overall performance. These findings provide valuable insights for understanding Taiwan’s foundry industry in the global competitive environment and support future policy-making and resource allocation.
    Reference: 中文文獻:
    李至欣. (2013). 晶圓代工生產效率比較研究 [碩博士論文,國立交通大學]。
    李揚, & 鐘棠祺. (2015). 半導體產業之績效評估-跨國分析與比較. Soochow Journal of Economics & Business(89).
    林宜君. (2021). 台灣半導體上市櫃公司績效-以隨機邊界法分析. 台灣策略與績效管理論壇, 1(1), 33-46.
    林宜玫. (2011). 台灣半導體產業經營績效分析- 一般DEA與SBM DEA模式 [碩博士論文,國立臺北大學]。
    林逸銘. (2012). 應用DEA方法評估台灣半導體產業經營績效之研究 [碩博士論文,義守大學]。
    許鎦響, & 許蕙心. (2009). 台灣 IC 設計產業生產效率評估/SFA 之應用. 嶺東學報(6), 93-114.
    郭于賢. (2006). 全球前十五大IC設計公司經營績效之研究---DEA方法之應用 [碩博士論文,東吳大學]。
    黃台心, 林嘉偉, & 胡聚男. (2019). 考慮單調性與曲度於貝氏隨機方向距離函數以衡量生產效率 [Imposing Monotonicity and Curvature Conditions on the Bayesian Stochastic Directional Distance Function to Measure Efficiencies]. 經濟論文叢刊, 47(2), 273-320. https://doi.org/10.6277/ter.201906_47(2).0004
    詹子侃. (2018). 應用資料包絡分析法衡量全球主要半導體公司之經營績效 [碩博士論文,國立交通大學]。
    臺灣經濟論衡編輯部(2024)。穩固臺灣半導體國際領先地位。《臺灣經濟論衡》,22(3),17–25。
    賴宏彬, 黃鏡如, 傅祖壇, 黃美瑛, 游明敏, 楊永列, &賴宏彬 (2021). 績效評估:效率與生產力之理論與應用. 新陸書局.

    英文文獻:
    Bayar, T., Cornett, M. M., Erhemjamts, O., Leverty, T., & Tehranian, H. (2018). An examination of the relation between strategic interaction among industry firms and firm performance. Journal of Banking & Finance, 87, 248-263.
    Chen, Y.-S., & Chen, B.-Y. (2011). Applying DEA, MPI, and grey model to explore the operation performance of the Taiwanese wafer fabrication industry. Technological forecasting and social change, 78(3), 536-546.
    Chu, M.-T., Shyu, J. Z., & Khosla, R. (2008). Measuring the relative performance for leading fabless firms by using data envelopment analysis. Journal of Intelligent Manufacturing, 19, 257-272.
    Demerjian, P., Lev, B., & McVay, S. (2012). Quantifying managerial ability: A new measure and validity tests. Management science, 58(7), 1229-1248.
    Kim, I., & Kim, C. (2018). Supply chain efficiency measurement to maintain sustainable performance in the automobile industry. Sustainability, 10(8), 2852.
    Kozmetsky, G., & Yue, P. (1998). Comparative Performance of Global Semi-conductor Companies. OMEGA-OXFORD-PERGAMON PRESS-, 26, 153-176.
    Liu, J., Ding, F. Y., & Lall, V. (2000). Using data envelopment analysis to compare suppliers for supplier selection and performance improvement. Supply Chain Management: An International Journal, 5(3), 143-150.
    Lu, W.-M., & Hung, S.-W. (2010). Assessing the performance of a vertically disintegrated chain by the DEA approach–a case study of Taiwanese semiconductor firms. International Journal of Production Research, 48(4), 1155-1170.
    Moreno, P., & Lozano, S. (2014). A network DEA assessment of team efficiency in the NBA. Annals of Operations Research, 214, 99-124.
    Yang, C.-H., & Chen, K.-H. (2009). Are small firms less efficient? Small Business Economics, 32(4), 375-395.
    Description: 碩士
    國立政治大學
    風險管理與保險學系
    112358013
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0112358013
    Data Type: thesis
    Appears in Collections:[風險管理與保險學系] 學位論文

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