Multivariate Calculation of Psychological Carrying Capacity of Ecotourism Community Residents Based on Interactive Emotional Cognitive Framework

As one of the important stakeholders in ecotourism, community residents play a crucial role in ecotourism development.This study takes interactive emotional cognition, social exchange theory and the concept of psychological carrying capacity as the guiding theories, and designs the community residents' questionnaire from the aspects of emotional cognition and psychological carrying capacity, respectively.Correlation analysis and regression modeling were used to test the influence of interactive emotional cognition on the psychological carrying capacity of ecotourism community residents.The calculation results show that the psychological carrying capacity of ecotourism community residents is positively correlated with positive interactive emotional cognition (r>0) and negatively correlated with negative interactive emotional cognition (r<0).It was also found that community residents' proud emotional perception of tourism development had the highest degree of influence on the psychological adjustment capacity variable (R=0.299).This study verifies the mechanism of community residents' interactive emotional cognition on their psychological carrying capacity and enriches the theoretical research on promoting ecotourism development.

Publication Details

Journal
Journal of Combinatorial Mathematics and Combinatorial Computing
Published
2025-04-16
DOI
https://doi.org/10.61091/jcmcc127a-353
Primary Topic
Advanced Technologies in Various Fields
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multivariate Calculation of Psychological Carrying Capacity of Ecotourism Community Residents Based on Interactive Emotional Cognitive Framework

Journal of Combinatorial Mathematics and Combinatorial Computing
Advanced Technologies in Various Fields
article

Multivariate Calculation of Psychological Carrying Capacity of Ecotourism Community Residents Based on Interactive Emotional Cognitive Framework

article en

Abstract

As one of the important stakeholders in ecotourism, community residents play a crucial role in ecotourism development.This study takes interactive emotional cognition, social exchange theory and the concept of psychological carrying capacity as the guiding theories, and designs the community residents' questionnaire from the aspects of emotional cognition and psychological carrying capacity, respectively.Correlation analysis and regression modeling were used to test the influence of interactive emotional cognition on the psychological carrying capacity of ecotourism community residents.The calculation results show that the psychological carrying capacity of ecotourism community residents is positively correlated with positive interactive emotional cognition (r>0) and negatively correlated with negative interactive emotional cognition (r<0).It was also found that community residents' proud emotional perception of tourism development had the highest degree of influence on the psychological adjustment capacity variable (R=0.299).This study verifies the mechanism of community residents' interactive emotional cognition on their psychological carrying capacity and enriches the theoretical research on promoting ecotourism development.

Journal of Combinatorial Mathematics and Combinatorial ComputingVol. 127a
Shanxi Scholarship Council of China, Jilin Office of Philosophy and Social Science
Openalex Percentile: Top 96%
Advanced Technologies in Various Fields
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.