Skip to content
DraconiticResearch
Search Sources API
181,713 studies31 sourcesUpdated 16 min ago
Peer-reviewedCC BYBMC health services research

Mismatch between urban eco-sanitation improvement and health service supply capacity: evidence from Chinese city panel data and interpretable machine learning.

  1. 1School of Architecture and Urban Planning, Qingdao University of Technology, Qingdao, 266033, China. [email protected].
  2. 2School of Architecture and Urban Planning, Qingdao University of Technology, Qingdao, 266033, China.

Abstract

Background

Health service supply capacity depends not only on medical resource stocks but also on urban eco-sanitation conditions and resource-allocation mechanisms. Existing studies focus mainly on environmental exposure and health outcomes, with limited attention to whether eco-sanitation improvements can be converted into health service supply capacity.Methods

This study constructed a panel of Chinese prefecture-level and above cities for 2002-2024, using the health service supply capacity index as the dependent variable and the eco-sanitation environment index as the core explanatory variable. Two-way fixed effects models, dimension-specific analysis, mechanism tests, heterogeneity analysis, robustness checks, and interpretable machine learning identified mismatch mechanisms and boundary conditions. The mechanism analysis was extended to two- and three-year ESE lags and one- and two-year lagged investment variables. Carbon-emission comparability was reassessed on exact CEADs-matched samples for 2002-2019. Hu Huanyong line subgroup models were additionally estimated with city and province-year fixed effects.Results

The eco-sanitation environment, green infrastructure, and municipal sanitation facilities improved continuously, whereas health service supply capacity increased more slowly. The baseline model does not support a stable positive conversion from eco-sanitation improvement to stronger supply capacity. Dimension-specific results reveal differentiated roles. The positive PPI coefficient must not be read as a pollution benefit; it is consistent with a demand-induced or compensatory resource-allocation response. Neither two- to three-year ESE lags nor one- to two-year lagged investment variables produced a stable urban construction investment transmission chain. The positive CEADs interaction was confirmed only within the 2002-2019 matched sample and therefore represents pre-pandemic evidence. The southeastern Hu-line coefficient attenuated and lost conventional significance after province-year policy shocks were absorbed. Machine learning indicates the relationship is shaped by development stage, population size, fiscal capacity, and nonlinear boundaries.Conclusions

Eco-sanitation improvement is not a sufficient condition for enhancing health service supply capacity. Healthy city development should integrate eco-sanitation governance, infrastructure investment, workforce allocation, and fiscal arrangements into a unified governance framework. Because HSC is a supply-side proxy based on resource counts, these implications concern resource availability and network density rather than quality of care, realized utilization, accessibility, or overall health-system performance.

Related

  1. Stunting among Under‐Five Children in Semarang Regency: Evidence from a Case–Control Study on Maternal KAP, Sanitation, and Early Feeding
    Sigit Ambar Widyawati, Yuliaji Siswanto, Kustiyono +2
    KEMAS: Jurnal Kesehatan MasyarakatPeer-reviewedCC BYFull textObstetrics, gynaecology & paediatricsDOAJ
  2. Water, sanitation, and hygiene in soil-transmitted helminth control: A scoping review of evidence gaps across transmission pathways
    Yael Velleman, Anne Straily, W Evan Secor +2
    PLOS Global Public HealthPeer-reviewedCC BY 4.0Full textZoology & animal behaviourEpidemiology & public healthPLOSEurope PMC
  3. Where is the evidence? A global systematic review of sanitation system resilience to climate hazards
    J. L. Wallace, M. K. Wright, M. A. Camargo-Valero +14
    PLOS WaterPeer-reviewedCC BY 4.0Full textClimate scienceHydrology & soilsPLOS
  4. Refined anatomy-based fitting reduces interaural place mismatch and improves speech outcomes, with preliminary evidence for reduced listening effort
    Anja Kurz, Giovanna Castillo, Kristen Rak +2
    PLOS OnePeer-reviewedCC BY 4.0Full textNeurosciencePhysiologyPLOS
  5. Functional capacity improvement and cardiovascular events after lower extremity revascularization
    Sean P. Heffron, Yuhe Xia, Crystalann Rodriguez +2
    PLOS OnePeer-reviewedCC BY 4.0Full textCardiovascular medicineEpidemiology & public healthPLOS
BibTeX
@article{peng2026mismatch,
  title = {{Mismatch between urban eco-sanitation improvement and health service supply capacity: evidence from Chinese city panel data and interpretable machine learning.}},
  author = {Zhen Peng and Lin Wang},
  journal = {BMC health services research},
  year = {2026},
  month = aug,
  doi = {10.1186/s12913-026-15444-8},
  url = {https://europepmc.org/article/MED/42875776},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Mismatch between urban eco-sanitation improvement and health service supply capacity: evidence from Chinese city panel data and interpretable machine learning.
AU  - Zhen Peng
AU  - Lin Wang
PY  - 2026
DA  - 2026/08/25
JO  - BMC health services research
DO  - 10.1186/s12913-026-15444-8
UR  - https://europepmc.org/article/MED/42875776
AB  - Background  Health service supply capacity depends not only on medical resource stocks but also on urban eco-sanitation conditions and resource-allocation mechanisms. Existing studies focus mainly on environmental exposure and health outcomes, with limited attention to whether eco-sanitation improvements can be converted into health service supply capacity.Methods  This study constructed a panel of Chinese prefecture-level and above cities for 2002-2024, using the health service supply capacity index as the dependent variable and the eco-sanitation environment index as the core explanatory variable. Two-way fixed effects models, dimension-specific analysis, mechanism tests, heterogeneity analysis, robustness checks, and interpretable machine learning identified mismatch mechanisms and boundary conditions. The mechanism analysis was extended to two- and three-year ESE lags and one- and two-year lagged investment variables. Carbon-emission comparability was reassessed on exact CEADs-matched samples for 2002-2019. Hu Huanyong line subgroup models were additionally estimated with city and province-year fixed effects.Results  The eco-sanitation environment, green infrastructure, and municipal sanitation facilities improved continuously, whereas health service supply capacity increased more slowly. The baseline model does not support a stable positive conversion from eco-sanitation improvement to stronger supply capacity. Dimension-specific results reveal differentiated roles. The positive PPI coefficient must not be read as a pollution benefit; it is consistent with a demand-induced or compensatory resource-allocation response. Neither two- to three-year ESE lags nor one- to two-year lagged investment variables produced a stable urban construction investment transmission chain. The positive CEADs interaction was confirmed only within the 2002-2019 matched sample and therefore represents pre-pandemic evidence. The southeastern Hu-line coefficient attenuated and lost conventional significance after province-year policy shocks were absorbed. Machine learning indicates the relationship is shaped by development stage, population size, fiscal capacity, and nonlinear boundaries.Conclusions  Eco-sanitation improvement is not a sufficient condition for enhancing health service supply capacity. Healthy city development should integrate eco-sanitation governance, infrastructure investment, workforce allocation, and fiscal arrangements into a unified governance framework. Because HSC is a supply-side proxy based on resource counts, these implications concern resource availability and network density rather than quality of care, realized utilization, accessibility, or overall health-system performance.
SN  - 1472-6963
ER  -