| 研究生: |
洪加臻 Hung, Chia-Chen |
|---|---|
| 論文名稱: |
十大半導體廠資本支出與景氣擴張期之關聯性 Exploring the Correlation between the Top Ten Semiconductor Capital Expenditures and Economic Expansion Periods |
| 指導教授: |
王澤世
Wang, Tse-Shih |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 財務金融研究所 Graduate Institute of Finance |
| 論文出版年: | 2024 |
| 畢業學年度: | 112 |
| 語文別: | 中文 |
| 論文頁數: | 41 |
| 中文關鍵詞: | 半導體資本支出 、景氣循環 、向量自我迴歸模型 |
| 外文關鍵詞: | Semiconductor Capital Expenditure, Business Cycle, Vector Autoregressive Model |
| 相關次數: | 點閱:76 下載:10 |
| 分享至: |
| 查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
本研究以向量自我迴歸模型(VAR模型)探究全球十大半導體之資本支出比率與景氣擴張期之關聯,研究期間包括2002年第1季至2007年第4季及2009年第3季至2019年第4季兩區間,控制變數則加入聯邦基金利率、政府支出、生產力、投資、S&P 500股價指數、失業率、貿易開放程度、採購經理人指數及個人消費支出物價指數。
研究結果顯示,在第一階段景氣擴張期中,資本支出比率與景氣擴張期不具有Granger因果關係及顯著關聯性;在第二階段景氣擴張期中,資本支出比率與景氣擴張期則具有單向之Granger因果關係,且在VAR模型結果分析中,景氣受資本支出比率落後一期及二期之顯著正面影響,部分證據顯示資本支出比率現今可做為景氣擴張期之領先指標。控制變數當中,政府支出、投資及失業率與景氣擴張期具有顯著關聯。研究結果提供景氣擴張期之產業預測指標,並探討影響景氣擴張期之重要因子。
This study explores the correlation between capital expenditure ratio of the top ten global semiconductor firms and economic expansion periods using the Vector Autoregression model (VAR model). The research period spans from the first quarter of 2002 to the fourth quarter of 2007 and from the third quarter of 2009 to the fourth quarter of 2019. Control variables include the federal funds rate, government spending, productivity, investment, S&P 500 index, unemployment rate, trade openness, purchasing managers' index, and personal consumption expenditure price index.
Results indicate that during the first phase of economic expansion, there is neither Granger causality nor significant correlation between the capital expenditure ratio and economic expansion. However, during the second phase of economic expansion, there is a unidirectional causal connection between the capital expenditure ratio and economic expansion. Some evidence, based on VAR analysis, suggests that the capital expenditure ratio, which positively affects economic expansion with one and two periods lag, can now serve as a leading indicator of economic expansion periods.
Among the control variables, government spending, investment, and unemployment rate show significant correlations with economic expansion periods. These findings offer predictive indicators for economic expansion periods in the semiconductor industry and explore factors influencing economic expansion periods.
中文文獻
李承璟 (2004)。台股趨勢與景氣指標之分析。碩士論文。國立臺灣大學經濟學研究所。
林木滄 (2015)。先進半導體生產設備投資成本降低的可能性策略研究。碩士論文。國立清華大學科技管理學院。
林煜恩、池祥萱、鄭家興及魏麗榕 (2015) 。產業結構對資本支出的影響:台灣實證。兩岸金融季刊,第3卷第1期,47-66。
苗坤齡與林利真 (2012)。生產力與景氣循環-臺灣的實證研究。主計月刊,第682期,70-75。
洪進朝、李耕年與蔡佑宣 (2013)。資本支出宣告對股價的影響-以台灣半導體產業為例」。管理資訊計算,第2卷第1期,187-198。
胡振國、廖建舜 (2017)。半導體元件電晶體的演進。科學發展,第540期,48-55。
張清溪、許嘉棟、劉鶯釧與吳聰敏 (1987)。經濟學-理論與實際。新陸書局。
張清溪、許嘉棟、劉鶯釧與吳聰敏 (1998)。經濟學。翰蘆圖書。
張世龍 (2004),資本支出及研發支出與公司治理對企業市場評價關聯性之實證研究 -以台灣上市電子公司為例。碩士論文。朝陽科技大學財務金融系。
國際半導體產業協會 (2021年12月14日)。全球半導體設備銷售總額 2021年可望首次突破千億美元大關。https://www.semi.org/zh/press_release/Year_end_total_semiconductor_equipment_forecast_oem_perspective
國際半導體產業協會 (2023年4月13日)。2022年全球半導體設備出貨金額達1,076 億美元再創新高。
https://www.semi.org/zh/2022_semi_worldwide_semiconductor_equipment_market_statistics_reports
顧鴻壽 (2020)。全球半導體相關產業發展趨勢。兩岸經貿,第345期,4-8。
外文文獻
Adizes, I. (1988). Corporate Lifecycles. Prentice-Hall.
Adams, R. B., Almeida, H., & Ferreira, D. (2005). Powerful CEOs and their impact on corporate performance. Review of Financial Studies, 18(4), 1403–1432.
Afonso, A., & Sousa, R. M. (2012). The macroeconomic effects of fiscal policy. Applied Economics, 44(34), 4439-4454.
Arias, J. E., Caldara, D., & Rubio-Ramírez, J. F. (2019). The systematic component of monetary policy in SVARs: An agnostic identification procedure. Journal of Monetary Economics, 101, 1-13.
Atems, B. (2019). The effects of government spending shocks: Evidence from U.S. states. Regional Science and Urban Economics, 74(C), 65-80.
Ball, L., Leigh, D., & Loungani, P. (2017). Okun’s Law: Fit at 50?. Journal of Money, Credit and Banking, 49(7), 1413-1441.
Bernanke, B. S. (1983). Irreversibility, Uncertainty, and Cyclical Investment. The Quarterly Journal of Economics, 98(1), 85-106.
Bernanke, B. S., & Blinder, A. S. (1992). The Federal Funds Rate and the Channels of Monetary Transmission. The American Economic Review, 82(4), 901-921.
Burns, A. F., & Mitchell, W. C. (1946). Measuring Business Cycles. NBER.
Caballero, R. J. (1991). On the Sign of the Investment-Uncertainty Relationship. The American Economic Review, 81(1), 279-288.
Cooper, R., Haltiwanger, J., & Power, L. (1999). Machine replacement and the business cycle: lumps and bumps. The American Economic Review, 89(4), 921-946.
Crucini, M. J., Kose, M. A., & Otrok, C. (2011). What are the driving forces of international business cycles?. Review of Economic Dynamics, 14(1), 156-175.
Fama, E. F. (1990). Stock Returns, Expected Returns, and Real Activity. The Journal of Finance, 45(4), 1089-1108.
Fabrizio, K. R., & Tsolmon, U. (2014). An Empirical Examination of the Procyclicality of R&D Investment and Innovation. The Review of Economics and Statistics, 96(4), 662-675.
Galí, J., López-Salido, J. D., & Vallés, J. (2007). Can Government Purchases Stimulate the Economy?. Journal of the European Economic Association, 5(1), 227-270.
Haye, E. M. (1997). Corporate Control Effects and Managerial Remuneration in Commercial Banking. Journal of Economics and Business, 49 (3): 239-252.
Hicks, J. (1950). A Contribution to the Theory of the Trade Cycle. Clarendon Press.
IC Insights. (Dec 14, 2021). Semi Capex on Pace for 34% Growth in 2021 to Record $152.0 Billion. https://www.design-reuse.com/news/51109/2021-semiconductor-capex.html
IC Insights. (Aug 23, 2022). Semi Capex On Pace For 21% Growth to $185.5B This Year. https://www.design-reuse.com/news/52520/2022-semi-capex.html
Jensen, M. C. (1986). Agency costs of free cash flow, corporate finance, and takeovers. American Economic Review, 76(2), 323-329.
Justiniano, A., & Primiceri, G. E. (2008). The Time-Varying Volatility of Macroeconomic Fluctuations. The American Economic Review, 98(3), 57-62.
Kauffman, R. G. (1999). Indicator Qualities of the NAPM Report On Business. The Journal of Supply Chain Management, 35(2), 29-37.
Kim, H., & Kung, H. (2017). The Asset Redeployability Channel: How Uncertainty Affects Corporate Investment. The Review of Financial Studies, 30(1), 245–280.
Kim, S., & Lee, B. B. (2018). The value relevance of capital expenditures and the business cycle. Studies in Economics and Finance, 35(3), 386-406.
Kose, M. A., Prasad, E. S., & Terrones, M. E. (2003). How Does Globalization Affect the Synchronization of Business Cycles?. The American Economic Review, 93(2), 57-62.
Kuh, E., & Meyer, J. R. (1957). The investment decision. Harvard University Press.
Lucas, R. E. Jr. (1977). Understanding Business Cycles. Carnegie Rochester Conference Series on Public Policy, 5, 7-29.
Malik, S., Abbas, A., Shabbir, M. S., & Ramos-Meza, C. S. (2023). Business Cycle Fluctuations, Foreign Direct Investment, and Real Effective Exchange Rate Nexus Among Asian Countries. Journal of the Knowledge Economy.
Maestas, N., Mullen, K. J., & Powell, D. (2016). The Effect of Population Aging on Economic Growth, the Labor Force and Productivity. NBER Working Paper No. 22452.
Murdick, R. G., & Deming, D. D. (1968). The Management of Capital Expenditures. McGraw-Hill.
Okun, A. M. (1962). Potential GNP: Its Measurement and Significance. Proceedings of the Business and Economic Statistics Section of the American Statistical Association, 98–104.
Öller, L.-E. (1990). Forecasting the Business Cycle Using Survey Data. International Journal of Forecasting, 6(4), 453-461.
Papanikolaou, D., & Panousi, V. (2012). Investment, Idiosyncratic Risk, and Ownership. Journal of Finance, 67(3), 1113-1148.
Ramey, V. A. (2011). Can Government Purchases Stimulate the Economy? Journal of Economic Literature, 49(3), 673-685.
Samuelson, P. A. (1939). Interactions between the Multiplier Analysis and the Principle of Acceleration. The Review of Economics and Statistics, 21(2), 75-78.
Schwert, G. W. (1990). Stock Returns and Real Activity: A Century of Evidence. Journal of Finance, 45(4), 1237-1257.
Smets, F., & Wouters, R. (2007). Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach. The American Economic Review, 97(3), 586-606.
Semiconductor Industry Association & Oxford Economics. (2021). Chipping in: The positive impact of the semiconductor industry on the American workforce and how federal industry incentives will increase domestic jobs. https://www.semiconductors.org/chipping-in-sia-jobs-report/
The World Semiconductor Trade Statistics. (Nov 28, 2023). WSTS Semiconductor Market Forecast Fall 2023. https://www.wsts.org/76/Recent-News-Release