Cultural industry development and regional economic performance in China

a management perspective based on data envelopment analysis (2016-2022)

Authors

DOI:

https://doi.org/10.23925/2179-3565.2025v16i3p26-40

Keywords:

Cultural industry, Management effectiveness, Data Envelopment Analysis, Regional development, China, Economic performance

Abstract

This study examines the relationship between cultural industry development and regional economic performance in China from a management effectiveness perspective, utilizing Data Envelopment Analysis (DEA) to assess efficiency patterns across 31 provinces from 2016 to 2022. Building on Porter's diamond framework, this article constructs a cultural industry management effectiveness index using DEA-SBM (Slacks-Based Measure) model combined with Tobit regression analysis. The study incorporates multiple dimensions including resource allocation efficiency, innovation capacity, and governance quality to evaluate cultural industry management performance and its impact on regional development. Results reveal significant regional disparities in cultural industry management effectiveness, with eastern provinces consistently outperforming other regions. The DEA analysis shows an average technical efficiency of 0.67 across all provinces, indicating substantial room for improvement. Tobit regression results demonstrate that management effectiveness, measured through the composite index, has a significant positive impact on regional GDP growth. Key determinants include human capital quality, technological innovation, and institutional support. Findings suggest that improving management practices in cultural industries can significantly contribute to regional economic development. Policy recommendations include strengthening institutional frameworks, enhancing human capital development, and promoting technological integration in cultural enterprises. This study provides the first comprehensive application of DEA methodology to assess cultural industry management effectiveness in China, offering new insights into the management-performance nexus in cultural sectors and contributing to the understanding of cultural economics in emerging economies.

Author Biography

Mutian Hou, Lyuliang University

Faculty of History and Culture

References

China National Bureau of Statistics. (2020). China statistical yearbook 2020. China Statistics Press.

Ding, Y., Zhang, R., & Zou, Y. (2024). An integrative study on the green cultural industry and its determinants in Jiangsu province, China under the cultural revitalization initiative: A global perspective. Frontiers in Psychology, 15, 1328121.

Dong, K., & Liu, Y. (2010). Cross‐cultural management in China. Cross Cultural Management: An International Journal, 17(3), 223-243.

Li, J., Zhang, R., & Zou, Y. (2024). Analyzing the shift in China's cultural industries: From economic growth to social enrichment. Sustainability, 16(10), 4194.

Liang, S., & Wang, Q. (2020). Cultural and creative industries and urban (re)development in China. SAGE Open, 10(2), 2158244020912874.

Porter, M. E. (1990). The competitive advantage of nations. Harvard Business Review, 68(2), 73-93.

Shan, S. (2014). Chinese cultural policy and the cultural industries. City, Culture and Society, 5(3), 115-121.

State Council of China. (2021). Cultural development plan for the 14th five-year plan period. Government Publishing House.

Tsai, P. H., Chen, C. J., & Yang, H. C. (2021). Using Porter's diamond model to assess the competitiveness of Taiwan's solar photovoltaic industry. SAGE Open, 11(1), 2158244020988286.

Tone, K. (2001). A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research, 130(3), 498-509.

Zhang, W., Zhang, R., & Zou, Y. (2024). Urbanization and cultural industry correlation: An empirical analysis from China. Sustainability, 16(16), 7041.

Zhao, L. (2018). Determinants of food industry competitiveness in China from the perspectives of Porter's diamond model. International Journal of Business and Management, 13(6), 104-116.

Downloads

Published

2025-10-22