Evidence map›Paper›PMID 40599539›Full record

ArticleFrontiers in psychology2025

Dynamic mechanisms and spatial spillover effects of cultural tourism development in the China-Pakistan Economic Corridor.

Zuhaib, Gang Liu, Jingyao Chen, Shuaib Ali, Zhang Rui, Dawood, Huan Chen

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. 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

7 authors.

ZuhaibCollege of International Tourism and Public Administration, Hainan University, Haikou, China.
Gang LiuCollege of International Tourism and Public Administration, Hainan University, Haikou, China.
Jingyao ChenSchool of Business, Macau University of Science and Technology, Taipa, Macao SAR, China.
Shuaib AliSchool of Management, Guangzhou University, Guangzhou, China.
Zhang RuiQiongtai Teachers College, Qiongtai Normal University, Hainan, China.
DawoodCollege of International Tourism and Public Administration, Hainan University, Haikou, China.
Huan ChenCollege of International Tourism and Public Administration, Hainan University, Haikou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study explores the spatial spillover effects (SSE) and dynamic mechanisms of cultural tourism in the China-Pakistan Economic Corridor (CPEC). This study examines how infrastructure development, cultural integration, and spatial connectivity affect cultural tourism in Pakistan's CPEC and non-CPEC regions using spatial spillover and Hofstede's cultural dimensions theory. Methods: Data were collected from 1,387 respondents in both regions, analyzed using the spatial Durbin model and structural equation modeling, and visualized using ArcMap and Geoda. Results: The results indicate that the growth of cultural tourism is strongly influenced by dynamic processes, including better infrastructure, more cultural interchange, and easier accessibility, particularly in CPEC regions. Furthermore, non-CPEC regions exhibit minor advantages in terms of indirect economic gains and increased accessibility, highlighting the ongoing inequalities. Discussion: These findings provide empirical insights into the regional impacts of large-scale initiatives, such as CPEC, and draw attention to government intervention, equitable resource allocation, and stakeholder collaboration to achieve long-term cultural tourism.

Indexed as

CPECcultural tourismdynamic mechanismHofstede’s cultural dimensions theoryregional developmentSDMspatial spillover effects theory

Identifiers

PMID40599539
PMCPMC12212113

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.