ArticleScientific data2025
Multi-level Supportive Policy Dataset for China's Resource-Based Cities (2003 to 2023).
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- China's carbon peaking policy intensity dataset across national, provincial, municipal to county-level over 2021 to 2025.Scientific data · 2026Article
- Multi-level Supportive Policy Dataset for China's Resource-Based Cities (2003 to 2023).Scientific data · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
In China's hierarchical governance system, the central government formulates overarching strategies and targets, while provincial, municipal, and county authorities implement them after making appropriate adjustments based on local resource endowments, administrative capabilities, and development priorities. However, existing research often uses proxy variables for policy factors, and current policy intensity indices predominantly focus on policy objectives and instruments, lacking direct, comprehensive quantification methods. To bridge this gap, this study expands the policy intensity concept to incorporate policy levels, objectives, and instruments, quantified through word frequency analysis. Using 3788 government work reports (2003-2023) across national, provincial, and prefectural levels, we construct a multidimensional supportive policy intensity index. The dataset, available in.dta and.xlsx formats, includes individual policy report inventory and intensity, and aggregated policy intensity across four administrative levels, four objectives, and five policy instruments. When integrated with micro- and macro-level data on green transformation performance and environmental pollution, this dataset offers substantial potential for interdisciplinary research.
Identifiers
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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.