ArticleScientific data2026
China's carbon peaking policy intensity dataset across national, provincial, municipal to county-level over 2021 to 2025.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Policy texts serve as the carriers of policy content and hold unique value in the research of policy differences, policy diffusion, and inter-governmental relations. Carbon peaking is a key strategic goal for China to address global climate change. The carbon peaking implementation plan provides a carrier for exploring China's carbon peaking path and actions. However, at present, there is relatively little research on the policy text of the carbon peaking implementation plan. In this study, for the first time, a systematic collection of publicly available carbon peaking implementation plans in China was conducted, and the policy intensity was quantified by applying a combination of natural language processing and machine learning methods. This dataset includes 316 national, provincial, municipal and county-level policies during the period from 2021 to 2025, and quantifies the policy intensity from the dimensions of three policy instruments: legal, market and supervision, as well as three policy targets: precise, general and vague. This dataset can help researchers further understand China's carbon peaking policy system and provide basic information for subsequent policy comparative studies and policy evaluations.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.