Evidence map›Paper›PMID 33027899›Full record

ArticleInternational journal of environmental research and public health2020

Explaining Local Residents' Attitudes toward Shale Gas Exploitation: The Mediating Roles of Risk and Benefit Perceptions.

Liuyang Yao, Qian Zhang, Kin Keung Lai, Xianyu Cao

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. 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
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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

4 authors.

Liuyang YaoInternational Business School, Shaanxi Normal University, Xi'an 710119, China.ORCID 0000-0003-4526-3333
Qian ZhangInternational Business School, Shaanxi Normal University, Xi'an 710119, China.ORCID 0000-0003-4267-1833
Kin Keung LaiInternational Business School, Shaanxi Normal University, Xi'an 710119, China.
Xianyu CaoInternational Business School, Shaanxi Normal University, Xi'an 710119, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using Fishbein's multi-attribute model, this paper proposes that the impact of socio-demographic and psychosocial factors on local residents' overall attitude toward shale gas exploitation (SGE) is mediated by their risk and benefit perceptions. The proposition has been validated with the generalized structural equation modeling approach with a cross-sectional dataset of 825 residents from China's Fuling shale gas field. Results indicate that the influence of benefit perception on residents' overall attitude outweighs that of risk perception. Moreover, residents' perceived fairness, affective feeling, and trust in regulatory agencies have positive influences on their overall attitude, primarily via their risk and benefit perceptions, in decreasing order of influences. Finally, we also find that residents' attitudes have been significantly influenced by their socio-demographic factors, including age, residential area, and political ideology. Thus, our study extends the literature with theoretical and empirical models by exploring the influences factors of local residents' attitudes toward SGE, and results from our empirical survey provide insight into policy design to promote the acceptance of SGE.

Indexed as

AttitudeNatural GasOil and Gas IndustryBayes TheoremCross-Sectional StudiesFemaleHumansMalePerceptionSurveys and QuestionnairesNatural Gasbenefit perceptiongeneralized structural equation modelingmediation analysismulti-attribute modelrisk perceptionshale gas exploitation

Identifiers

PMID33027899
PMCPMC7579172

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.