Bibliographic record
Abstract
Chinese tax law affects corporations engaged in cross-border transactions with China. It may also impact the development of the international tax regime as China is increasingly engaged in international tax reform efforts, such as the G20/OECD BEPS Project. Chinese tax law is thus important to taxpayers, tax professionals and policymakers worldwide. However, it is a challenge to find comprehensive information and insightful analysis of Chinese tax law in English. International Taxation in China: A Contextualized Analysis meets that challenge. This book deals with the Chinese international tax regime, focusing on the enterprise income tax and tax treaties. First, it covers the standard topics: inbound and outbound rules, withholding taxes, transfer pricing, tax avoidance, and base erosion and profit shifting. It then sets forth the technical tax rules in their specific Chinese legal and institutional context, for example, the approach of Chinese courts to the interpretation and application of tax law and the crucial role played by the State Administration of Taxation, which are significantly different from the role of their counterparts in Western countries. Examples, tables and detailed footnotes are used to help explain the rules in the legislation and the law in practice. Throughout the work, the author seeks to shed light on the Chinese way of thinking about international taxation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.009 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".