Evidence map›Paper›PMID 42221642›Full record

ArticleFrontiers in public health2026

The impact of low-carbon city pilot policies on urban energy intensity.

Yuren Qian, Jiahan Hu, Bingnan Guo, Tangfa Liu, Hao Hu

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yuren QianSchool of Humanities and Social Sciences, Jiangsu University of Science and Technology, Zhenjiang, China.
Jiahan HuCollege of Engineering, University of Perpetual Help System Laguna, Laguna, Philippines.
Bingnan GuoSchool of Humanities and Social Sciences, Jiangsu University of Science and Technology, Zhenjiang, China.
Tangfa LiuSchool of Economics and Management, Gannan University of Science and Technology, Ganzhou, China.
Hao HuSchool of Economics, Shanghai University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urban energy intensity measures the energy required per unit of economic output and is closely linked to energy-related emissions that shape air quality and climate-related health risks. Using panel data from 273 prefecture-level Chinese cities (2006-2021), we estimate the causal impact of China's Low-Carbon City Pilot Scheme (LCCPS) on urban energy intensity. We apply a partially linear double/debiased machine learning framework with city and year fixed effects, enabling flexible adjustment for high-dimensional confounders. The LCCPS lowers urban energy intensity by about 0.11 units, and the result is robust to alternative specifications. Channel analyses suggest that pilot designation strengthens fiscal support intensity and stimulates enterprise green innovation, which together contribute to reduced energy intensity. Effects are strongest in large and coastal cities and in resource-scarce regions, but weaker in small and medium-sized cities, inland areas, and resource-rich regions. By reducing the energy required for economic activity, low-carbon pilots may also generate public-health co-benefits through cleaner urban environments.

Indexed as

Air PollutionCarbonChinaCitiesHumansCarboncausal inferencefiscal supportgreen technological innovationlow-carbon city pilot policyurban energy intensity

Identifiers

PMID42221642
PMCPMC13218860

What OpenQuestion holds

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Registered trials

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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.