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This is a Quantitative Study study.

September 30, 2025Open Access

Analysis of Spatial Differences and Influential Factors in the Development of China's Rural Cultural Industry Based on Cultural Capital Theory and Machine Learning Methods

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Authors

YCYu ChenNational Taiwan Normal University JXJia XuJiangsu University DZDan ZhouChongqing Dazu District People's Hospital

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Implication

Analysis uncovers regional disparities and factors influencing rural cultural industries, suggesting tailored policies for effective resource distribution.

Key Points

Cultural tourism significantly impacts the growth of China's rural cultural industries, with an average obstacle degree of 47.29.
China's rural cultural industries display regional changes, with stronger development in eastern regions while central and western areas lag.
The study utilizes machine learning techniques, specifically the Gradient Boosting Decision Tree model, for evaluating cultural industry development.
Findings highlight the importance of understanding local characteristics, which can inform revitalization strategies for rural areas.

Cite This Study

Chen et al. (2025) studied this question.

synapsesocial.com/papers/68dc1e308a7d58c25ebb15cb https://doi.org/10.21203/rs.3.rs-6966143/v1

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Implication

Analysis uncovers regional disparities and factors influencing rural cultural industries, suggesting tailored policies for effective resource distribution.

Analysis of Spatial Differences and Influential Factors in the Development of China's Rural Cultural Industry Based on Cultural Capital Theory and Machine Learning Methods

Discussion

Member takes

Implication

Key Points

Cite This Study

Analysis of Spatial Differences and Influential Factors in the Development of China's Rural Cultural Industry Based on Cultural Capital Theory and Machine Learning Methods

Discussion

Member takes

Implication

Key Points

Cite This Study

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