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研究生: 楊紫軒
Zhi Xuan Yang
論文名稱: 地緣政治風險對全球半導體產業之影響:供應鏈與區域視角之實證研究
The Impact of Geopolitical Risk on the Global Semiconductor Industry: An Empirical Analysis from Supply Chain and Regional Perspectives
指導教授: 蔡政憲
Tsai, Cheng-Hsien
口試委員: 周致遠
Chou, Chih-Yuan
黃孝慈
Huang, Hsiao-Tzu
學位類別: 碩士
Master
系所名稱: 商學院 - 國際經營管理英語碩士學位學程(IMBA)
International MBA Program College of Commerce(IMBA)
論文出版年: 2026
畢業學年度: 114
語文別: 英文
論文頁數: 43
中文關鍵詞: 地緣政治風險半導體供應鏈資產定價實現波動率市場韌性
外文關鍵詞: Geopolitical Risk, Semiconductor Supply Chain, Asset Pricing, Realized Volatility, Market Resilience
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  • 在後疫情時代,人工智慧(AI)與數位轉型的快速發展提升了半導體產業的戰略重要性,同時也加劇地緣政治風險(GPR)對全球供應鏈與金融市場的影響。本研究採用固定效果追蹤資料模型,以超額報酬與已實現波動率為指標,分析半導體供應鏈七大環節及七個地區對地緣政治風險的反應。結果顯示,不同供應鏈節點存在顯著異質性:晶片設計、設備與材料產業在地緣政治緊張升溫時出現即時且持續的估值折價,而晶圓製造則因高進入門檻與低替代性展現較強韌性。區域分析發現,台灣與南韓面臨即時估值下跌,美國則呈現延遲反應;日本與中國估值相對穩定,但波動性明顯上升。研究結果有助於理解半導體產業的地緣政治暴露程度,並為企業、投資人及研究者提供決策參考。


    In the post-pandemic era, the rapid growth of artificial intelligence (AI) and digital transformation has increased the strategic importance of semiconductors while intensifying the impact of geopolitical risk (GPR) on global supply chains and financial markets. This study employs fixed-effects panel regressions to examine the effects of GPR across seven semiconductor supply-chain nodes and seven geographic regions, using excess returns and realized volatility as key indicators. The results reveal significant heterogeneity across supply-chain segments. Chip Design, Equipment, and Materials experience immediate and persistent valuation discounting under heightened geopolitical tensions, whereas Wafer Fabrication demonstrates greater resilience due to high entry barriers and limited substitutability. While most segments exhibit volatility contraction following GPR shocks, temporal responses vary across nodes. Regional analysis further shows that Taiwan and South Korea face immediate valuation declines, whereas the United States exhibits delayed pricing effects. Japan and China maintain relatively stable valuations but experience increased volatility. These findings provide a framework for understanding geopolitical exposure within the semiconductor ecosystem and offer insights for researchers, firms, and investors navigating an increasingly uncertain global environment.

    1. Introduction 1
    1.1. Research Background 1
    1.2. Research Motivation 1
    1.3. Research Objectives 2
    1.4. Organization of the Thesis 3
    2. Literature Review 4
    2.1. Structural Overview of the Global Semiconductor Supply Chain 4
    2.2. The Geographic Distribution of the Semiconductor Supply Chain 7
    2.3. Geopolitical Risks and Financial Markets 11
    2.4. Asset Resilience, Firm Fundamentals and Safe Havens 13
    3. Research Methodology 15
    3.1. Data Selection and Sample Construction 16
    3.2. Sample Composition 18
    3.3. Variable Operationalization 19
    3.4. Econometric Specification 20
    4. Empirical Results and Discussion 22
    4.1. Descriptive Statistics and Variable Properties 22
    4.2. Functional Supply Chain Nodes Analysis 24
    4.3. Geographic HQ Region Analysis 28
    5. Conclusion and Future Research 33
    5.1. Summary of Key Findings 33
    5.2. Limitations 35
    5.3. Future Research Directions and Potential Implications 36
    References 38

    Agarwal, P., Swami, S., & Malhotra, S. K. (2024). Artificial intelligence adoption in the post COVID-19 new-normal and role of smart technologies in transforming business: A review. Journal of Science and Technology Policy Management, 15(3), 506–529. https://doi.org/10.1108/JSTPM-08-2021-0122
    Agoraki, M.-E. K., Kouretas, G. P., & Laopodis, N. T. (2022). Geopolitical risks, uncertainty, and stock market performance. Economic and Political Studies, 10(3), 253–265. https://doi.org/10.1080/20954816.2022.2095749
    Antonakakis, N., Gupta, R., Kollias, C., & Papadamou, S. (2017). Geopolitical risks and the oil-stock nexus over 1899–2016. Finance Research Letters, 23, 165–173. https://doi.org/10.1016/j.frl.2017.07.017
    Aysan, A. F., Demir, E., Gozgor, G., & Lau, C. K. M. (2019). Effects of the geopolitical risks on Bitcoin returns and volatility. Research in International Business and Finance, 47, 511–518. https://doi.org/10.1016/j.ribaf.2018.09.011
    Baele, L. (2005). Volatility spillover effects in European equity markets. Journal of Financial and Quantitative Analysis, 40(2), 373–401. https://doi.org/10.1017/S0022109000002350
    Baker, S. R., Bloom, N., & Davis, S. J. (2016). Measuring economic policy uncertainty. The Quarterly Journal of Economics, 131(4), 1593–1636. https://doi.org/10.1093/qje/qjw024
    Balcilar, M., Bonato, M., Demirer, R., & Gupta, R. (2018). Geopolitical risks and stock market dynamics of the BRICS. Economic Systems, 42(2), 295–306. https://doi.org/10.1016/j.ecosys.2017.05.008
    Balcilar, M., Demirer, R., Gupta, R., & Wohar, M. E. (2020). The effect of global and regional stock market shocks on safe haven assets. Structural Change and Economic Dynamics, 54, 297–308. https://doi.org/10.1016/j.strueco.2020.04.004
    Bartholdy, J., & Peare, P. (2005). Estimation of expected return: CAPM vs. Fama and French. International Review of Financial Analysis, 14(1), 407–427.
    Baur, D. G., & Smales, L. A. (2020). Hedging geopolitical risk with precious metals. Journal of Banking and Finance, 117, 105823. https://doi.org/10.1016/j.jbankfin.2020.105823
    Bekaert, G., & Harvey, C. R. (1997). Emerging equity market volatility. Journal of Financial Economics, 43(1), 29–77.
    Bekaert, G., Harvey, C. R., & Ng, A. (2005). Market integration and contagion. Journal of Business, 78(1), 39–69.
    Bekaert, G., Harvey, C. R., Lundblad, C. T., & Siegel, S. (2014). Political risk spreads. Journal of International Business Studies, 45(4), 471–493.
    Berkman, H., Jacobsen, B., & Lee, J. B. (2011). Time-varying rare disaster risk and stock returns. Journal of Financial Economics, 101(2), 313–332.
    Bhargav, T., & Verma, T. (2021). Application of artificial intelligence against COVID-19 pandemic: A systematic review. IJISET - International Journal of Innovative Science, Engineering & Technology, 8(3).
    Bloomberg L.P. (2026). Bloomberg Terminal [Data set].
    Bloom, N. (2009). The impact of uncertainty shocks. Econometrica, 77(3), 623–685. https://doi.org/10.3982/ECTA6248
    Bollerslev, T., Tauchen, G., & Zhou, H. (2009). Expected stock returns and variance risk premia. The Review of Financial Studies, 22(11), 4463–4492.
    Boston Consulting Group, & Semiconductor Industry Association. (2021). Strengthening the global semiconductor supply chain in an uncertain era. https://www.semiconductors.org/wp-content/uploads/2021/05/BCG-x-SIA-Strengthening-the-Global-Semiconductor-Value-Chain-April-2021_1.pdf
    Brandt, M. W., & Gao, L. (2019). Macro fundamentals or geopolitical events? A textual analysis of news events for crude oil. Journal of Empirical Finance, 51, 64–94. https://doi.org/10.1016/j.jempfin.2019.01.007
    Brogaard, J., Dai, L., Ngo, P. T. H., & Zhang, B. (2020). Global political uncertainty and asset prices. The Review of Financial Studies, 33(4), 1737–1780. https://doi.org/10.1093/rfs/hhz087
    Brounen, D., & Derwall, J. (2010). The impact of terrorist attacks on international stock markets. European Financial Management, 16(4), 585–598. https://doi.org/10.1111/j.1468-036X.2009.00502.x
    Caldara, D., & Iacoviello, M. (2022). Measuring geopolitical risk. American Economic Review, 112(4), 1194–1225. https://doi.org/10.1257/AER.20191823
    Caldara, D., & Iacoviello, M. (2026). Geopolitical Risk (GPR) Index Database [Data set]. https://www.matteoiacoviello.com/gpr.htm
    CHIPS and Science Act, H.R. 4346, 117th Cong. (2022). https://www.congress.gov/bill/117th-congress/house-bill/4346
    Drakos, K. (2010). Terrorism activity, investor sentiment, and stock returns. Review of Financial Economics, 19(3), 128–135.
    Engle, R. F., Ghysels, E., & Sohn, B. (2013). Stock market volatility and macroeconomic fundamentals. The Review of Economics and Statistics, 95(3), 776–797.
    Fama, E. F., & French, K. R. (2015). A five-factor asset pricing model. Journal of Financial Economics, 116(1), 1–22.
    Farrell, H., & Newman, A. L. (2019). Weaponized interdependence: How global economic networks shape state coercion. International Security, 44(1), 42–79. https://doi.org/10.1162/ISEC_a_00351
    French, K. R. (2026). Kenneth R. French data library (Fama/French 5 Factors) [Data set]. https://mba.tuck.dartmouth.edu/pages/faculty/ken.french/data_library.html
    Giannetti, M., & Laeven, L. (2012). The flight home effect: Evidence from the syndicated loan market during financial crises. Journal of Financial Economics, 104(1), 23–43.
    Gkillas, K., Gupta, R., & Wohar, M. E. (2018). Volatility jumps: The role of geopolitical risks. Finance Research Letters, 27, 247–258. https://doi.org/10.1016/j.frl.2018.03.014
    Griffin, J. M. (2002). Are the Fama and French factors global or country specific? The Review of Financial Studies, 15(3), 783–803.
    Grimes, S., & Du, D. (2022). China's emerging role in the global semiconductor value chain. Telecommunications Policy, 46(2), 101959. https://doi.org/10.1016/j.telpol.2020.101959
    Haramboure, A., Lalanne, G., Schwellnus, C., & Guilhoto, J. (2023). Vulnerabilities in the semiconductor supply chain (OECD Science, Technology and Industry Working Papers No. 2023/05). OECD Publishing. https://doi.org/10.1787/6bed616f-en
    Hoque, M. E., & Zaidi, M. A. S. (2020). Global and country-specific geopolitical risk uncertainty and stock return of fragile emerging economies. Borsa Istanbul Review, 20(3), 197–213.
    Huang, P.-J. (2021). Does exchange rate volatility affect stock returns? An analysis based on augmented Fama-French model [Master’s thesis, National Taiwan University]. https://doi.org/10.6342/NTU202102922
    Julio, B., & Yook, Y. (2012). Political uncertainty and corporate investment cycles. The Journal of Finance, 67(1), 45–83. https://doi.org/10.1111/j.1540-6261.2011.01707.x
    Kannadhasan, M., & Das, D. (2020). Do Asian emerging stock markets react to international economic policy uncertainty and geopolitical risk alike? A quantile regression approach. Finance Research Letters, 34, 101276.
    Karagozoglu, A. K., Wang, N., & Zhou, T. (2022). Comparing geopolitical risk measures. The Journal of Portfolio Management, 49(1), 227–258.
    Kleinhans, J.-P., Nieves, M. A., Sancho, S. R., & van de Put, C.-É. (2025). Mapping the semiconductor value chain (OECD Science, Technology and Industry Policy Papers No. 182). OECD Publishing. https://www.stiftung-nv.de/sites/default/files/the_global_semiconductor_value_chain.pdf
    Kocabiyik, O. (2023). Time-varying impact of economic policy uncertainty and geopolitical risk on stock market returns: Evidence from Türkiye [Master’s thesis, National Chengchi University].
    Lee, J. (2025). America's semiconductor future in the shadow of geopolitical conflict [Senior honors thesis, Georgetown University].
    Li, Y.-T., Huang, M.-H., & Chen, D.-Z. (2011). Semiconductor industry value chain: Characteristics and technology evolution. Industrial Management & Data Systems, 111(3), 370–389. https://doi.org/10.1108/02635571111118260
    Liu, P. Y. (2025). Global expansion strategy under geopolitical and supply chain pressure: The case of TSMC [Master’s thesis, Waseda University / National Chengchi University].
    Mensi, W., Hammoudeh, S., Reboredo, J. C., & Nguyen, D. K. (2014). Do global factors impact BRICS stock markets? A quantile regression approach. Emerging Markets Review, 19, 1–17.
    Mohammad, W., Elomri, A., & Kerbache, L. (2022). The global semiconductor chip shortage: Causes, implications, and potential remedies. IFAC-PapersOnLine, 55(10), 476–483. https://doi.org/10.1016/j.ifacol.2022.09.439
    Namdar, J., Li, X., Sawhney, R., & Pradhan, N. (2018). Supply chain resilience for single and multiple sourcing in the presence of disruption risks. International Journal of Production Research, 56(6), 2339–2360. https://doi.org/10.1080/00207543.2017.1370149
    Pástor, Ľ., & Veronesi, P. (2012). Uncertainty about government policy and stock prices. The Journal of Finance, 67(4), 1219–1266. https://doi.org/10.1111/j.1540-6261.2012.01746.x
    Pástor, Ľ., & Veronesi, P. (2013). Political uncertainty and risk premia. Journal of Financial Economics, 110(3), 520–545.
    Rahman, M. A., & Hassan, M. K. (2013). Firm fundamentals and stock prices in emerging Asian stock markets: Some panel data evidence. Review of Quantitative Finance and Accounting, 41(3), 463–487.
    Ramani, V., Ghosh, D., & Sodhi, M. S. (2022). Understanding systemic disruption from the Covid-19-induced semiconductor shortage for the auto industry. Omega, 113, 102720. https://doi.org/10.1016/j.omega.2022.102720
    Semiconductor Industry Association. (2020). From microchips to medical devices: Semiconductors as an essential industry during the COVID-19 pandemic. https://www.semiconductors.org/wp-content/uploads/2020/10/From-Microchips-to-Medical-Devices-SIA-White-Paper.pdf
    Snarska, M., Frydrych, S., Łukowski, M., Czech, M., & Perez, K. (2025). Semiconductor game of thrones: A comprehensive study of geopolitical and equity market uncertainty transmission. International Review of Financial Analysis, 106, 104457. https://doi.org/10.1016/j.irfa.2025.104457
    Tetlock, P. C. (2007). Giving content to investor sentiment: The role of media in the stock market. The Journal of Finance, 62(3), 1139–1166. https://doi.org/10.1111/j.1540-6261.2007.01232.x
    Varadarajan, R., Koch-Weser, I., Richard, C., Fitzgerald, J., Singh, J., Thornton, M., Casanova, R., & Isaacs, D. (2024). Emerging resilience in the semiconductor supply chain. Boston Consulting Group & Semiconductor Industry Association.
    Yahoo Finance. (2026). Yahoo Finance data API [Data set]. https://finance.yahoo.com/
    Yang, M., Zhang, Q., Yi, A., & Peng, P. (2021). Geopolitical risk and stock market volatility in emerging economies: Evidence from GARCH-MIDAS model. Discrete Dynamics in Nature and Society, 2021, 1159358. https://doi.org/10.1155/2021/1159358
    Yu, Y., Ma, D., & Wang, Y. (2024). Structural resilience evolution and vulnerability assessment of semiconductor materials supply network in the global semiconductor industry. International Journal of Production Economics, 270, 109172. https://doi.org/10.1016/j.ijpe.2024.109172
    Zhang, Y., He, J., He, M., & Li, S. (2023). Geopolitical risk and stock market volatility: A global perspective. Finance Research Letters, 53, 103620. https://doi.org/10.1016/j.frl.2023.103620

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