Evidence map›Paper›PMID 40357478›Full record

ArticleFrontiers in psychology2025

A moderated mediation model for explaining residents' environmental and cultural responsible behavior.

Xiufang Jiang, Mollie G Gossage

Abstract read
In one paragraph

Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Xiufang JiangSchool of Law and Sociology, Xihua University, Chengdu, Sichuan, China.
Mollie G GossageDepartment of Anthropology, College of Letters and Science, University of Wisconsin-Madison, Madison, WI, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The sustainable development of tourism in ethnic minority regions critically hinges on local residents' adoption of environmentally and culturally responsible behaviors, yet the mechanisms and boundary conditions of the interplay among these core elements are unclear. Methods: This empirical study integrates the theory of planned behavior (TPB), social capital theory (SCT), place attachment theory (PAT), and relative deprivation theory (RDT) to investigate factors influencing environmentally and culturally responsible behavior (RB) among residents in western Sichuan, China. Data were collected via an online survey of residents. Results: Survey data reveal that environmental and cultural attitudes (ECA), government trust (GT), and place attachment (PA) directly promote RB, with perceived tourism impact (PTI) mediating these relationships. Additionally, relative deprivation (RD) moderates the influence of GT and PA on RB, as well as the mediating effect of PTI on the pathways from ECA and PA to RB. Discussion: This study contributes to the existing literature on tourism sustainability and destination resident behavior by illustrating that improving local responsibility requires strengthening cultural attitudes in addition to environmental attitudes, building local trust in the government, and fostering place attachment. Furthermore, the effectiveness of these goals depends on mitigating communities' relative deprivation. These findings are significant for both theory and practice, and the conclusion contains policy insights and practical strategies for the sustainable development of ethnic minority area tourism communities.

Indexed as

community participationenvironmental and cultural attitudegovernment trustplace attachmentrelative deprivationresponsible behaviorsustainable developmenttourism impact

Identifiers

PMID40357478
PMCPMC12068061

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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.