<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>As an emerging industry with high growth, the cultural industry plays an increasingly prominent role in boosting national economic construction and enriching people’s lives. This paper utilizes the relevant statistical data of the culture industry in 2022, selects the indicators of input-output variables, and adopts the three-stage DEA method to measure the efficiency level of the culture industry in Western China and explore the development trend of the culture industry in western China after eliminating the influence of external environment and random variables on the analysis results. In addition, the level of cultural industry efficiency in West China is taken as an explanatory variable. Relevant explanatory variables are selected to derive the influence of each variable on cultural industry efficiency by the partial least squares method, and regional heterogeneity is detected. The overall cultural industry efficiency in the western region is low; more than 30% of the inputs do not create value, and 50% of the provinces and municipalities have a low level of cultural industry operation and management and low development of industry scale. Except for Chongqing and Shaanxi, all other provinces and cities are in the stage of increasing returns to scale. The selected explanatory variables all positively contribute to the comprehensive technical efficiency of the cultural industry, with the most significant effect of the urbanization level, with a regression effect of 0.387. Focusing on improving the operation and management levels and the scale of the cultural industry is the key to enhancing the efficiency of the overall cultural industry in the West.</p>
</abstract>

As an emerging industry with high growth, the cultural industry plays an increasingly prominent role in boosting national economic construction and enriching people’s lives. This paper utilizes the relevant statistical data of the culture industry in 2022, selects the indicators of input-output variables, and adopts the three-stage DEA method to measure the efficiency level of the culture industry in Western China and explore the development trend of the culture industry in western China after eliminating the influence of external environment and random variables on the analysis results. In addition, the level of cultural industry efficiency in West China is taken as an explanatory variable. Relevant explanatory variables are selected to derive the influence of each variable on cultural industry efficiency by the partial least squares method, and regional heterogeneity is detected. The overall cultural industry efficiency in the western region is low; more than 30% of the inputs do not create value, and 50% of the provinces and municipalities have a low level of cultural industry operation and management and low development of industry scale. Except for Chongqing and Shaanxi, all other provinces and cities are in the stage of increasing returns to scale. The selected explanatory variables all positively contribute to the comprehensive technical efficiency of the cultural industry, with the most significant effect of the urbanization level, with a regression effect of 0.387. Focusing on improving the operation and management levels and the scale of the cultural industry is the key to enhancing the efficiency of the overall cultural industry in the West.

A Study on the Development Trend and Mechanism Perfection of Cultural Industry in Western China Based on Variable Model

Chongqing Technology and Business University

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

As an emerging industry with high growth, the cultural industry plays an increasingly prominent role in boosting national economic construction and enriching...

A Study on the Development Trend and Mechanism Perfection of Cultural Industry in Western China Based on Variable Model

Data publikacji: 22 maj 2024

Zakres stron: -

Otrzymano: 19 lut 2024

Przyjęty: 22 kwi 2024

DOI: https://doi.org/10.2478/amns-2024-1189

Słowa kluczowe
Three-stage DEA, Partial least squares, Cultural industry efficiency, Influencing factors, Western region

© 2024 Jing Luo et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

A Study on the Development Trend and Mechanism Perfection of Cultural Industry in Western China Based on Variable Model

Data publikacji: 22 maj 2024

Zakres stron: -

Otrzymano: 19 lut 2024

Przyjęty: 22 kwi 2024

DOI: https://doi.org/10.2478/amns-2024-1189

Słowa kluczoweThree-stage DEA, Partial least squares, Cultural industry efficiency, Influencing factors, Western region

© 2024 Jing Luo et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Słowa kluczowe
Three-stage DEA, Partial least squares, Cultural industry efficiency, Influencing factors, Western region