ArticlePloS one2026
Carbon emission governance and public health efficiency in transitional China: Regional differences and spatial aggregation.
Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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
No grant is acknowledged in the PubMed record.
Abstract
backgroundWith the coordinated advancement of China's "dual carbon" goals and the Healthy China strategy, the harmonious development of carbon emission governance and public health service efficiency has emerged as a central issue in China's sustainable transition.
methodsThis study takes 31 provincial-level administrative units in China over the period 2012-2023 as the unit of analysis, and constructs a systematic analytical framework encompassing "measurement-coupling-inequality decomposition-determinant identification." Specifically, the entropy weight method is employed to assess the composite level of carbon emission governance; the DEA-SBM model is applied to evaluate public health service efficiency; the coupling coordination degree model is used to quantify the coordinated development level of the two systems; the Dagum Gini coefficient decomposition is then utilized to identify the sources of regional disparities; the Global Moran's Index is adopted to track the evolution of spatial agglomeration; and a two-way fixed effects Tobit model is constructed to identify associated factors.
resultsThe national coupling coordination degree (CCD) exhibited an overall trajectory of initial fluctuation followed by a sustained upward trend. During 2012-2017, the CCD of most provinces remained within the range of 0.44-0.63, rising broadly to the 0.54-0.72 interval after 2018. Inter-regional inequality consistently constituted the dominant source of total disparity throughout the study period. After 2018, the coordination gap between eastern and western regions continued to widen, while intra-regional disparities among western provinces simultaneously intensified, with both trends jointly driving an increasingly pronounced pattern of regional divergence. The Global Moran's Index rose from 0.227 to 0.497, indicating a continuous strengthening of spatial agglomeration. The associated factors exhibited significant regional heterogeneity: R&D investment intensity demonstrated a significant positive association with CCD in central and western regions; urban population density exerted a significant inhibitory effect on coordination degree in western provinces; and the direction of the association between economic development level and CCD was opposite in eastern and central regions.
conclusionsInstitutional time lags, factor endowment disparities, and spatial polarization mechanisms constitute the core structural barriers constraining the coordinated development of the two systems. There is an urgent need to establish a differentiated, region-specific, and phase-based policy intervention framework to promote balanced and coordinated regional development.
Indexed as
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.