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Analyzing the Shift in China’s Cultural Industries: From Economic Growth to Social Enrichment

Author

Listed:
  • Jiayao Li

    (College of Humanities and Arts, Suncheon National University, Student Living Hall, 255, Jungang-ro, Jeollanam-do, Suncheon-si 57922, Republic of Korea)

  • Rong Zhang

    (Future Front Interdisciplinary Research Institute, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Yuntao Zou

    (School of Computer of Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China)

Abstract

Cultural industries constitute a crucial part of the sustainable economy. In accordance with the principles of socialist public ownership nations, the economic benefits of cultural industries should be ultimately transformed into more significant social benefits. Guided by the policies and requirements of the Chinese government concerning the social benefits of cultural industries, this paper innovatively integrates Data Envelopment Analysis (DEA) and Tobit models to empirically analyze the social benefits and their influencing factors within China’s cultural industries. The findings indicate that the social benefits of China’s cultural industries are currently in a state of diminishing returns to scale, with fiscal support and educational levels significantly enhancing the industry’s social benefits. This paper recommends that policymakers aiming to convert the economic benefits of cultural industries into social benefits more systematically and effectively should focus on enhancing the quality of industry outputs.

Suggested Citation

  • Jiayao Li & Rong Zhang & Yuntao Zou, 2024. "Analyzing the Shift in China’s Cultural Industries: From Economic Growth to Social Enrichment," Sustainability, MDPI, vol. 16(10), pages 1-21, May.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:10:p:4194-:d:1396080
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    References listed on IDEAS

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    1. Junli Gao & Chaofeng Shao & Sihan Chen, 2022. "Evolution and Driving Factors of the Spatiotemporal Pattern of Tourism Efficiency at the Provincial Level in China Based on SBM–DEA Model," IJERPH, MDPI, vol. 19(16), pages 1-17, August.
    2. Golany, B & Roll, Y, 1989. "An application procedure for DEA," Omega, Elsevier, vol. 17(3), pages 237-250.
    3. Kirjavainen, Tanja & Loikkanent, Heikki A., 1998. "Efficiency differences of finnish senior secondary schools: An application of DEA and Tobit analysis," Economics of Education Review, Elsevier, vol. 17(4), pages 377-394, October.
    4. Basu, Susanto & Fernald, John G, 1997. "Returns to Scale in U.S. Production: Estimates and Implications," Journal of Political Economy, University of Chicago Press, vol. 105(2), pages 249-283, April.
    5. C Serrano Cinca & C Mar Molinero, 2004. "Selecting DEA specifications and ranking units via PCA," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(5), pages 521-528, May.
    6. Rasha Istaiteyeh & Maysa’a Munir Milhem & Ahmed Elsayed, 2024. "Efficiency Assessment and Determinants of Performance: A Study of Jordan’s Banks Using DEA and Tobit Regression," Economies, MDPI, vol. 12(2), pages 1-18, February.
    7. Yang, Chengyu & Wang, Xupeng, 2023. "Income and cultural consumption in China: A theoretical analysis and a regional empirical evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 216(C), pages 102-123.
    8. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    9. Jacob Mincer, 1958. "Investment in Human Capital and Personal Income Distribution," Journal of Political Economy, University of Chicago Press, vol. 66(4), pages 281-281.
    10. Adler, Nicole & Yazhemsky, Ekaterina, 2010. "Improving discrimination in data envelopment analysis: PCA-DEA or variable reduction," European Journal of Operational Research, Elsevier, vol. 202(1), pages 273-284, April.
    11. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    12. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
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