Does climate adaptation policy deliver a health dividend? Exposure, modeled health burden, and defensive capacity in China's climate-adaptive city pilots
- 1School of Economics and Management, Nanchang Vocational University
Abstract
Climate policy is widely expected to yield a health dividend: cleaner air can improve health without a simultaneous expansion of defensive capacity. We distinguish exposure reduction from defensive adaptation in China's 2017 climate-adaptive city pilot, using a 2011–2022 panel of 264 cities, including 21 treated units. A difference-in-differences design examines fine particulate matter (PM2.5) exposure, while the Global Exposure Mortality Model translates exposure into modeled pollution-related health burden. Physicians, hospital beds, and employee-insurance enrolment measure selected defensive inputs. The pilot is associated with a 3.87 μg/m ³ lower PM2.5 (95% confidence interval −6.49 to −1.25; wild-bootstrap P = 0.0067). The estimate remains negative after pollution-convergence adjustments but is smaller and imprecise in the matched sample. The central accounting model implies an approximately 8.10% lower burden (conditional 95% confidence interval −11.32 to −4.76%), not an observed mortality reduction. Average capacity estimates are imprecise and cannot establish the absence of defensive adaptation. A physician-based coupling calibration admits positive and negative contributions and cannot bound the total defensive response. Among nine pre-policy capacity interactions, telecommunications intensity is positively associated with bed expansion (+4.40 per 10,000 residents; pointwise 95% confidence interval 2.47–6.32; adjusted P = 0.021), although pre-trend concerns limit causal interpretation. Other interactions remain uncertain. The main estimate is close to an illustrative detection threshold, warranting caution with non-significant findings. The results support an exposure-related health co-benefit under explicit accounting assumptions. Assessment incentives, coordination, and financing are possible explanations for uneven responses, but their roles are not identified by these estimates.
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BibTeX
@article{wang2026does,
title = {{Does climate adaptation policy deliver a health dividend? Exposure, modeled health burden, and defensive capacity in China's climate-adaptive city pilots}},
author = {Cun Wang and Hantao Gong},
journal = {Frontiers in Public Health},
year = {2026},
month = oct,
doi = {10.3389/fpubh.2026.1987084},
url = {https://www.frontiersin.org/articles/10.3389/fpubh.2026.1987084/full},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Does climate adaptation policy deliver a health dividend? Exposure, modeled health burden, and defensive capacity in China's climate-adaptive city pilots
AU - Cun Wang
AU - Hantao Gong
PY - 2026
DA - 2026/10/14
JO - Frontiers in Public Health
DO - 10.3389/fpubh.2026.1987084
UR - https://www.frontiersin.org/articles/10.3389/fpubh.2026.1987084/full
AB - Climate policy is widely expected to yield a health dividend: cleaner air can improve health without a simultaneous expansion of defensive capacity. We distinguish exposure reduction from defensive adaptation in China's 2017 climate-adaptive city pilot, using a 2011–2022 panel of 264 cities, including 21 treated units. A difference-in-differences design examines fine particulate matter (PM2.5) exposure, while the Global Exposure Mortality Model translates exposure into modeled pollution-related health burden. Physicians, hospital beds, and employee-insurance enrolment measure selected defensive inputs. The pilot is associated with a 3.87 μg/m ³ lower PM2.5 (95% confidence interval −6.49 to −1.25; wild-bootstrap P = 0.0067). The estimate remains negative after pollution-convergence adjustments but is smaller and imprecise in the matched sample. The central accounting model implies an approximately 8.10% lower burden (conditional 95% confidence interval −11.32 to −4.76%), not an observed mortality reduction. Average capacity estimates are imprecise and cannot establish the absence of defensive adaptation. A physician-based coupling calibration admits positive and negative contributions and cannot bound the total defensive response. Among nine pre-policy capacity interactions, telecommunications intensity is positively associated with bed expansion (+4.40 per 10,000 residents; pointwise 95% confidence interval 2.47–6.32; adjusted P = 0.021), although pre-trend concerns limit causal interpretation. Other interactions remain uncertain. The main estimate is close to an illustrative detection threshold, warranting caution with non-significant findings. The results support an exposure-related health co-benefit under explicit accounting assumptions. Assessment incentives, coordination, and financing are possible explanations for uneven responses, but their roles are not identified by these estimates.
SN - 2296-2565
ER -