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題名 人工智慧投資與組織資本對租稅規避的影響
The Impact of Artificial Intelligence Investment and Organizational Capital on Corporate Tax Avoidance作者 陳立穎
Chen, Li-Ying貢獻者 何怡澄<br>郭振雄
Ho, Yi-Cheng<br>Kuo, Jenn-Shyong
陳立穎
Chen, Li-Ying關鍵詞 租稅規避
組織資本
人工智慧投資
Corporate tax avoidance
Organizational capital
Artificial intelligence investment日期 2025 上傳時間 4-Aug-2025 14:22:25 (UTC+8) 摘要 本研究探討AI投資(Artificial Intelligence Investment)與組織資本(Organizational Capital, OC)的交互作用對企業租稅規避行為的影響。組織資本反映企業內部文化與商業流程的價值，提升營運與生產效率。AI投資輔助處理大量數據與模擬預測，降低資訊處理成本。本文認為企業依賴組織資本達到租稅規避的目標，若同時投資於AI技術將可進一步提高租稅規避的效果。本研究以2010年至2018年美國上市公司為樣本，實證結果顯示AI投資增強組織資本與租稅規避的正向關係。敏感性分析以不同租稅規避指標、組織資本指標、加入其他控制變數與不同的有效稅率極端值處理方式進行，均與主要測試一致。另以兩階段工具變數法、Lewbel(2012)方法、熵平衡與傾向分數配對四種方法，處理內生性疑慮。此外，AI投資增強組織資本與租稅規避正向關係的效果，於高經理人能力、高研發支出與高內部資訊品質的企業，更為顯著。額外測試發現對於公司價值亦有正向影響。
This study investigates the impact of the interaction between Artificial Intelligence (AI) investment and Organizational Capital (OC) on corporate tax avoidance. OC reflects a firm's internal culture and business processes, enhancing operational and production efficiency. AI investment facilitates data processing and predictive simulations, thereby reducing information processing costs. This paper argue that firms rely on OC to achieve tax avoidance objectives, and that concurrent investment in AI technology can further enhance this effect. Using a sample of U.S. publicly listed firms from 2010 to 2018, our empirical findings reveal that AI investment strengthens the positive relationship between OC and tax avoidance. This result remains robust under various sensitivity analyses and endogeneity checks. Moreover, the moderating effect of AI investment is more pronounced in firms with high managerial ability, high R&D expenditures, and high internal information quality. Finally, additional test shows positive effect on firm value. This study contributes to the literature on off-balance-sheet intangible assets and tax avoidance, and provides empirical evidence suggesting that firms should consider the potential tax implications of AI investment.參考文獻 Acemoglu, D., Autor, D., Hazell, J., & Restrepo, P. (2022). Artificial intelligence and jobs: Evidence from online vacancies. Journal of Labor Economics, 40(S1), S293–S340. Agrawal, A., Gans, J. S., & Goldfarb, A. (2019). Artificial intelligence: The ambiguous labor market impact of automating prediction. Journal of Economic Perspectives, 33(2), 31–50. Argilés-Bosch, J. M., Somoza, A., Ravenda, D., & García-Blandón, J. (2020). An empirical examination of the influence of e-commerce on tax avoidance in Europe. Journal of International Accounting, Auditing and Taxation, 41, 100339. Armstrong, C. S., Blouin, J. L., & Larcker, D. F. (2012). The incentives for tax planning. Journal of Accounting and Economics, 53(1–2), 391–411. Attig, N., & Cleary, S. (2014). Organizational capital and investment-cash flow sensitivity: The effect of management quality practices. Financial Management, 43(3), 473–504. Austin, P. C. (2011). Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies. Pharmaceutical Statistics, 10(2), 150–161. Austin, P. C., & Stuart, E. A. (2015). Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies. Statistics in Medicine, 34(28), 3661–3679. Ayers, B. C., Laplante, S. K., & McGuire, S. T. (2010). Credit ratings and taxes: The effect of book–tax differences on ratings changes. Contemporary Accounting Research, 27(2), 359–402. Babina, T., Fedyk, A., He, A., & Hodson, J. (2024). Artificial intelligence, firm growth, and product innovation. Journal of Financial Economics, 101, 103745. Badertscher, B. A., Katz, S. P., & Rego, S. O. (2013). The separation of ownership and control and corporate tax avoidance. Journal of Accounting and Economics, 56(2-3), 228–250. Barney, J. B. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17, 99–120. Bughin, J., Seong, J., Manyika, J., Chui, M., & Joshi, R. (2018, September). Notes from the AI Frontier: Modeling the Impact of AI on the World Economy. McKinsey Global Institute. Cen, L., Maydew, E. L., Zhang, L., & Zuo, L. (2017). Customer–supplier relationships and corporate tax avoidance. Journal of Financial Economics, 123(2), 377–394. Chen, S., Chen, X., Cheng, Q., & Shevlin, T. (2010). Are family firms more tax aggressive than non-family firms? Journal of Financial Economics, 95(1), 41–61. Chen, J. Z., Hong, H. A., Kim, J.-B. & Ryou, J. W. (2021). 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國立政治大學
財政學系
112255017資料來源 http://thesis.lib.nccu.edu.tw/record/#G0112255017 資料類型 thesis dc.contributor.advisor 何怡澄<br>郭振雄 zh_TW dc.contributor.advisor Ho, Yi-Cheng<br>Kuo, Jenn-Shyong en_US dc.contributor.author (Authors) 陳立穎 zh_TW dc.contributor.author (Authors) Chen, Li-Ying en_US dc.creator (作者) 陳立穎 zh_TW dc.creator (作者) Chen, Li-Ying en_US dc.date (日期) 2025 en_US dc.date.accessioned 4-Aug-2025 14:22:25 (UTC+8) - dc.date.available 4-Aug-2025 14:22:25 (UTC+8) - dc.date.issued (上傳時間) 4-Aug-2025 14:22:25 (UTC+8) - dc.identifier (Other Identifiers) G0112255017 en_US dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/158554 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 財政學系 zh_TW dc.description (描述) 112255017 zh_TW dc.description.abstract (摘要) 本研究探討AI投資(Artificial Intelligence Investment)與組織資本(Organizational Capital, OC)的交互作用對企業租稅規避行為的影響。組織資本反映企業內部文化與商業流程的價值，提升營運與生產效率。AI投資輔助處理大量數據與模擬預測，降低資訊處理成本。本文認為企業依賴組織資本達到租稅規避的目標，若同時投資於AI技術將可進一步提高租稅規避的效果。本研究以2010年至2018年美國上市公司為樣本，實證結果顯示AI投資增強組織資本與租稅規避的正向關係。敏感性分析以不同租稅規避指標、組織資本指標、加入其他控制變數與不同的有效稅率極端值處理方式進行，均與主要測試一致。另以兩階段工具變數法、Lewbel(2012)方法、熵平衡與傾向分數配對四種方法，處理內生性疑慮。此外，AI投資增強組織資本與租稅規避正向關係的效果，於高經理人能力、高研發支出與高內部資訊品質的企業，更為顯著。額外測試發現對於公司價值亦有正向影響。 zh_TW dc.description.abstract (摘要) This study investigates the impact of the interaction between Artificial Intelligence (AI) investment and Organizational Capital (OC) on corporate tax avoidance. OC reflects a firm's internal culture and business processes, enhancing operational and production efficiency. AI investment facilitates data processing and predictive simulations, thereby reducing information processing costs. This paper argue that firms rely on OC to achieve tax avoidance objectives, and that concurrent investment in AI technology can further enhance this effect. Using a sample of U.S. publicly listed firms from 2010 to 2018, our empirical findings reveal that AI investment strengthens the positive relationship between OC and tax avoidance. This result remains robust under various sensitivity analyses and endogeneity checks. Moreover, the moderating effect of AI investment is more pronounced in firms with high managerial ability, high R&D expenditures, and high internal information quality. Finally, additional test shows positive effect on firm value. This study contributes to the literature on off-balance-sheet intangible assets and tax avoidance, and provides empirical evidence suggesting that firms should consider the potential tax implications of AI investment. en_US dc.description.tableofcontents 第壹章 緒論 1 第一節 研究背景與動機 1 第二節 研究流程 4 第貳章 文獻探討與假說 5 第一節 租稅規避 6 第二節 組織資本 8 第三節 人工智慧投資 11 第四節 組織資本與人工智慧投資 14 第五節 假說建立 15 第參章 研究方法 16 第一節 資料來源與樣本篩選 16 第二節 變數定義 17 第三節 實證模型 25 第肆章 實證結果與分析 26 第一節 樣本敘述統計 26 第二節 實證結果 30 第三節 敏感性分析 32 第四節 內生性處理 39 第五節 橫斷面分析 47 第六節 額外測試 51 第伍章 研究結論與限制 53 第一節 研究結論 53 第二節 研究限制 54 參考文獻 55 zh_TW dc.format.extent 1142480 bytes - dc.format.mimetype application/pdf - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0112255017 en_US dc.subject (關鍵詞) 租稅規避 zh_TW dc.subject (關鍵詞) 組織資本 zh_TW dc.subject (關鍵詞) 人工智慧投資 zh_TW dc.subject (關鍵詞) Corporate tax avoidance en_US dc.subject (關鍵詞) Organizational capital en_US dc.subject (關鍵詞) Artificial intelligence investment en_US dc.title (題名) 人工智慧投資與組織資本對租稅規避的影響 zh_TW dc.title (題名) The Impact of Artificial Intelligence Investment and Organizational Capital on Corporate Tax Avoidance en_US dc.type (資料類型) thesis en_US dc.relation.reference (參考文獻) Acemoglu, D., Autor, D., Hazell, J., & Restrepo, P. (2022). Artificial intelligence and jobs: Evidence from online vacancies. Journal of Labor Economics, 40(S1), S293–S340. Agrawal, A., Gans, J. S., & Goldfarb, A. (2019). Artificial intelligence: The ambiguous labor market impact of automating prediction. Journal of Economic Perspectives, 33(2), 31–50. Argilés-Bosch, J. M., Somoza, A., Ravenda, D., & García-Blandón, J. (2020). An empirical examination of the influence of e-commerce on tax avoidance in Europe. Journal of International Accounting, Auditing and Taxation, 41, 100339. Armstrong, C. S., Blouin, J. L., & Larcker, D. F. (2012). The incentives for tax planning. Journal of Accounting and Economics, 53(1–2), 391–411. Attig, N., & Cleary, S. (2014). Organizational capital and investment-cash flow sensitivity: The effect of management quality practices. Financial Management, 43(3), 473–504. Austin, P. C. (2011). 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