Evidence map›Paper›PMID 40106469›Full record

ArticlePloS one2025

Comparing public willingness-to-pay for different low-carbon measures: A case study of Shenzhen, China.

Haiyan Hao, Jiaying Lin, Shiyong Qiu, Li Liu, Jiahuan Dai

Abstract readComparative Study
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Haiyan HaoSchool of Humanities and Social Science, The Chinese University of Hong Kong, Shenzhen, Shenzhen, China.ORCID https://orcid.org/0000-0001-6509-3103
Jiaying LinWorld Resources Institute (USA) Beijing Representative Office, Beijing, China.ORCID https://orcid.org/0009-0005-7605-4034
Shiyong QiuWorld Resources Institute (USA) Beijing Representative Office, Beijing, China.
Li LiuSchool of Humanities and Social Science, The Chinese University of Hong Kong, Shenzhen, Shenzhen, China.
Jiahuan DaiSchool of Humanities and Social Science, The Chinese University of Hong Kong, Shenzhen, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cities in China have made progressive strides in developing low-carbon societies and experimenting with various low-carbon measures. The successful implementation of these low-carbon measures and the subsequent maintenance of relevant amenities rely on the support of local residents. However, there is limited understanding of residents' awareness and support for the different types of low-carbon measures, which can involve different trade-offs. This research addressed this research gap by surveying residents' willingness-to-pay for five representative low-carbon measures implemented in Shenzhen, a pioneering low-carbon city in China. Surveys were collected from 14 distinct residential areas in Shenzhen, and the analysis results revealed that Shenzhen residents were more inclined to pay for low-carbon measures that directly benefit them personally, as opposed to those serving the collective good. This trend was particularly evident among educated elites. Other notable findings include: 1) respondents aware of the different low-carbon measures in effect were more likely to pay for them; 2) male respondents, new Shenzhen residents (relocated within the last 5 years), high-income individuals, and residents in aging residential areas tended to contribute higher amounts towards low-carbon measures; 3) providing detailed information on carbon mitigation effects significantly increased both the likelihood and the amount of respondents' WTP; 4) the adoption of new-energy vehicles (NEVs) is especially controversial between NEV owners and gasoline vehicle owners. These findings hold implications, such as developing targeted policies and educational interventions, to enhance public awareness and support for low-carbon initiatives, thus fostering sustainability in rapidly growing urban centers like Shenzhen.

Indexed as

Air PollutionCarbonPublic OpinionAdultChinaCitiesFemaleHumansMaleMiddle AgedSurveys and QuestionnairesCarbon

Identifiers

PMID40106469
PMCPMC11922221

What OpenQuestion holds

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LicenceCC BY
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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.