Resilience is a necessary condition for industries to withstand shocks and achieve sustainable development. Cultural industry is a vital sector of the national economy, and it is crucial to enhance its resilience against external shocks. To quantitatively assess cultural industry resilience (CIR), a multidimensional indicator system comprising three dimensions, resistance, robustness and recovery, was built. The framework integrates 18 secondary indicators and 41 tertiary indicators to capture the dynamic adaptive capacity of the cultural industry under external perturbations. The data are collected from official statistical yearbooks from 2013 to 2024 to analyze the CIR of 30 provinces and seven regions in China. The weight of each indicator was determined using the entropy value method, and the cluster analysis method and the Dagum Gini coefficient were used to analyze the temporal-spatial differences of CIR at provincial and regional levels. On this basis, a panel regression model was applied to measure the factors influencing the CIR. The results show that China’s CIR exhibits pronounced regional disparities, with eastern coastal provinces consistently leading in growth and stability, while the central, western and border regions lag significantly. There are also noticeable differences among the three dimensions of CIR. The spatial-temporal differences show an obvious cluster distribution. Inter-regional differences are the main source of CIR differences in China. This imbalance correlates with economic development, educational investment, technological investment, government support and population density, while urban-rural gaps exert negative impacts.
Spatial-Temporal Differences and Influencing Factors of Cultural Industry Resilience: A Study Based on China
Tong Wu,Rui Sun,Haiying Yu,Jian Yu
Published 2025 in SAGE Open
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2025
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SAGE Open
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2025-10-01
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