The impact of the U.S. Inflation reduction act on the restructuring of the Asia-Pacific energy industry Chain and China’s response strategies
Bibliographic record
Abstract
The development of the energy industry holds a crucial position in the industrial layout of countries worldwide. The Inflation Reduction Act intends to exclude China and other Asian countries from the clean energy industry supply chain, which will have a significant impact on the Asia-Pacific energy industry chain layout. This paper constructs a GTAP-GVC model to simulate and analyze the impact of the act on the layout of the PV and EV industry chains in the Asia Pacific region through GVC participation, location, and industry chain elasticity. The study finds that the implementation of the act will drive the ascent of the international division of labor in the U.S. clean energy industry, while worsening the trade environment for other Asia-Pacific countries. Canada, Mexico, and other ‘allies’ of the U. S. cannot benefit from the subsidy conditions of the act. China should strengthen the development of its domestic clean energy industry, enhance its independent research and development capabilities, and promote industrial technological upgrades to cope with the impact of the act.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".