收藏切换
The Structural Transition and Policy Response Mechanism of China's Short-term Cross-border Capital Flows under the Impact of Global Taxation: Embedding Analysis Based on Generative Artificial Intelligence Semantic Index
收藏切换
Haochen Guo1, Huihui Zhou2, Lun Gao3, Minfeng Lu4
Journal of Technology Economics | 2026, 45(1) : 30 - 42
Less
收藏切换
Journal of Technology Economics | 2026, 45(1): 30-42
• Macro Technology Economics •
The Structural Transition and Policy Response Mechanism of China's Short-term Cross-border Capital Flows under the Impact of Global Taxation: Embedding Analysis Based on Generative Artificial Intelligence Semantic Index
Full
Haochen Guo1, Huihui Zhou2, Lun Gao3, Minfeng Lu4
Affiliations
  • 1.School of Economics and Management, Southeast University, Nanjing 210096, China
  • 2.School of Business and Law, Sanjiang University, Nanjing 210012, China
  • 3.Postdoctoral Research Station of Applied Economics, Nanjing University, Nanjing 210093, China
  • 4.Shanghai Institute of Science and Technology Finance, Shanghai University, Shanghai 200444, China
Published: 2026-01-25 doi: 10.12404/j.issn.1002-980X.J25051006
Outline
收藏切换

In April 2025, the United States launched a new round of global tax restructuring, promoting a "reciprocal taxation" mechanism toward multiple trading partners, which quickly triggered countermeasures from China. The institutional reshaping of global tax rules has thus emerged as a novel external shock, intensifying international capital's arbitrage incentives and profit-seeking behavior in the short term and inducing cyclical mismatches and structural shifts in cross-border capital flows. Compared with traditional analytical frameworks based on interest rate differentials and exchange rate fluctuations, such institutional shocks are more likely to generate nonlinear responses through changes in policy expectations and amplified market sentiment, making their dynamic evolution difficult to capture using conventional methods. Against this background, the asymmetric adjustment mechanisms of China's short-term cross-border capital flows under global tax competition was examined. Using quarterly data from 2008 to 2024, a multiple-threshold regression model and introduce generative artificial intelligence was constructed to perform semantic modeling of policy texts, thereby developing a tax policy semantic intensity index (TPSI). The results show that global tax shocks significantly alter the response structure of capital flows to interest rate and exchange rate expectations, exhibiting clear regime shifts and asymmetric effects. The TPSI demonstrates strong leading properties in identifying the direction of capital sentiment and flow dynamics, effectively compensating for the lag of traditional variables in capturing policy expectation changes. Moreover, under high semantic intensity regimes, the marginal effectiveness of existing macroprudential tools weakens, increasing the risk of "high-frequency decoupling" in short-term capital flows. Accordingly, it proposes establishing a cross-border capital early-warning system based on semantic expectation identification, proactively enhancing capital flow governance, and actively participating in the reconstruction of global tax rules to strengthen China's institutional resilience and safeguard its tax sovereignty within the international financial system.

global tax game  /  short-term capital flows  /  structural transition  /  generative artificial intelligence  /  macroprudential policy
郭皓晨, 周慧蕙, 高伦, 陆岷峰. 全球税收冲击下中国短期跨境资本流动的结构跃迁与政策响应机制——基于生成式人工智能语义指数的嵌入分析. 技术经济, 2026 , 45 (1) : 30 -42 . DOI: 10.12404/j.issn.1002-980X.J25051006
Haochen Guo, Huihui Zhou, Lun Gao, Minfeng Lu. The Structural Transition and Policy Response Mechanism of China's Short-term Cross-border Capital Flows under the Impact of Global Taxation: Embedding Analysis Based on Generative Artificial Intelligence Semantic Index[J]. Journal of Technology Economics, 2026 , 45 (1) : 30 -42 . DOI: 10.12404/j.issn.1002-980X.J25051006
Year 2026 volume 45 Issue 1
20
4
Cite this Article
BibTeX
Article Info
doi: 10.12404/j.issn.1002-980X.J25051006
  • Receive Date:2025-05-10
  • Online Date:2026-10-27
  • Published:2026-01-25
Article Data
Affiliations
History
  • Received:2025-05-10
Funding
Affiliations
    1.School of Economics and Management, Southeast University, Nanjing 210096, China
    2.School of Business and Law, Sanjiang University, Nanjing 210012, China
    3.Postdoctoral Research Station of Applied Economics, Nanjing University, Nanjing 210093, China
    4.Shanghai Institute of Science and Technology Finance, Shanghai University, Shanghai 200444, China
References
Share
https://castjournals.cast.org.cn/joweb/jsyjj/EN/10.12404/j.issn.1002-980X.J25051006
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT