China's strategic response to climate change: policies, challenges, and pathways to carbon neutrality
Bibliographic record
Abstract
Climate change, driven by greenhouse gas (GHG) emissions, poses a significant threat to China's environment, economy, and society. This review paper examines China's evolving response to this challenge. It explores China's international commitments, including the Paris Agreement and its Nationally Determined Contributions (NDCs) aiming for carbon neutrality by 2060. Additionally, the paper analyzes domestic policies like the 1+N Climate Policy framework, the 14th Five-Year Plan (FYP) for Energy, and the National Emissions Trading Scheme. These policies highlight China's multi-pronged approach, focusing on GHG reduction and a comprehensive energy sector transformation. The paper emphasizes the importance of evaluating these policies for effectiveness and acknowledges the challenges China faces, such as balancing climate goals with economic growth. Ultimately, the paper argues that China's strategic approach signifies a growing recognition of the need for climate action. The success of this approach, coupled with continued advancements in clean energy technologies and international collaboration, will be paramount in achieving carbon neutrality and securing a sustainable future.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".