Study on the Construction of Multilevel Regression Model for the Integration of Sichuan Rural Music and Cultural Tourism Industry under the Rural Revitalization Strategy

The integration and development of Sichuan's rural music and cultural tourism industry is of great signi icance in the context of rural revitalization strategy.The purpose of this paper is to construct a multilevel regression model to deeply explore the in luencing factors and role mechanisms of the integration of the two.Through theoretical analysis and empirical research, the research variables are clari ied, and the null model, random effect model and complete model are constructed and data validation and analysis are carried out.The results show that the richness of rural music resources, the level of cultural and tourism industry, policy guidance and support, market demand and human resources have a signi icant positive impact on the integration of rural music and cultural and tourism industry in Sichuan.The results of the full multilevel regression model show that the same level of rural music resource abundance has different impacts on the integration of rural music and cultural and tourism industries due to regional differences.The results of the study provide theoretical support for the development of cultural tourism industry in Sichuan Province, and deeply help the implementation of rural revitalization strategy in Sichuan Province.

Publication Details

Journal
Journal of Combinatorial Mathematics and Combinatorial Computing
Published
2025-04-16
DOI
https://doi.org/10.61091/jcmcc127a-382
Primary Topic
Regional Development and Environment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Study on the Construction of Multilevel Regression Model for the Integration of Sichuan Rural Music and Cultural Tourism Industry under the Rural Revitalization Strategy

Journal of Combinatorial Mathematics and Combinatorial Computing
Regional Development and Environment
article

Study on the Construction of Multilevel Regression Model for the Integration of Sichuan Rural Music and Cultural Tourism Industry under the Rural Revitalization Strategy

article en

Abstract

The integration and development of Sichuan's rural music and cultural tourism industry is of great signi icance in the context of rural revitalization strategy.The purpose of this paper is to construct a multilevel regression model to deeply explore the in luencing factors and role mechanisms of the integration of the two.Through theoretical analysis and empirical research, the research variables are clari ied, and the null model, random effect model and complete model are constructed and data validation and analysis are carried out.The results show that the richness of rural music resources, the level of cultural and tourism industry, policy guidance and support, market demand and human resources have a signi icant positive impact on the integration of rural music and cultural and tourism industry in Sichuan.The results of the full multilevel regression model show that the same level of rural music resource abundance has different impacts on the integration of rural music and cultural and tourism industries due to regional differences.The results of the study provide theoretical support for the development of cultural tourism industry in Sichuan Province, and deeply help the implementation of rural revitalization strategy in Sichuan Province.

Journal of Combinatorial Mathematics and Combinatorial ComputingVol. 127a
Decent work and economic growth
Openalex Percentile: Top 89%
Regional Development and Environment
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.