A Literature Review of Factors Influencing the Development of the Digital Culture Chain
Article Sidebar
Main Article Content
Abstract
The rapid development of the global digital economy has pushed the digital culture industry chain to become an important support for national economic growth and the enhancement of cultural soft power, and its sustainable development depends on the optimization and efficient operation of the industry chain. However, existing studies mostly focus on content creation, technological innovation, and market expansion, and the systematic research on the development of the industry chain is still insufficient, especially in the gaps in the compilation and comprehensive analysis of key influencing factors. This study adopted the literature review method to integrate the research results on the digital culture industry chain at home and abroad and focused on analyzing the core factors, such as policy support, technological innovation, market demand, human resources, and internationalization. The study indicated that policy incentives and technological progress were the main external driving forces for the rapid development of the industry chain, while market diversity and cultural innovation capacity enhance its resilience and sustainability. In addition, there were significant differences in the impacts of the institutional environment, digital infrastructure, and cross-disciplinary collaboration on the optimization and upgrading of the industry chain in different countries and regions. Future research should strengthen interdisciplinary integration, explore the dynamic evolution of the industry chain under the interaction mechanism of policy, technology, and market, provide theoretical support and empirical evidence for policy formulation and industrial practice, and promote the high-quality development of the digital culture industry chain.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Views and opinions appearing in the Journal it is the responsibility of the author of the article, and does not constitute the view and responsibility of the editorial team.
References
Barro, R. J., & Xavier, I. S. (2004). Economic growth. (2nd ed.). Massachusetts: MIT Press.
Bin, W. (2023). Generation Z and the digital culture industry. Journal of Digital Media Studies, 12(2), 45-60.
Cai, Y., & Tong, X. (2014). The upgrading path of cultural industries under global economic change: A case of Dafen Village. Cultural Industry Studies, 6(1), 25-33.
Chen, N., & Shi, Z. (2020). The transformation and application of cultural technology innovation. Technology and Culture, 8(3), 112-123.
Dunn, W. N. (2018). Public policy: An introduction to the theory and practice of policy analysis. (5th ed.). New York: Routledge.
Flew, T. (2012). The creative industries: Culture and policy. California: SAGE Publications.
Gao, F., Dai, Z., & Zhang, F. (2024). Digital cultural consumption patterns among Generation Z in China. Cultural Economics Review, 16(1), 33-48.
Jeong, S., & Lee, J. (2021). Effects of cultural background on consumer perception and acceptability of foods and drinks: a review of latest cross-cultural studies. Current Opinion in Food Science, 42, 248-256. https://doi.org/10.1016/j.cofs.2021.07.004
Kang, W., & Jiang, B. (2018). Challenges in AI innovation in China’s digital culture. Technology & Society, 19(2), 34-49.
Lee, R., & Mason, A. (2017). Population aging and the economy. Cheltenham: Edward Elgar.
Mankiw, N. G. (2021). Principles of economics. (9th ed.). Massachusetts: Cengage Learning.
Mao, L. (2020). Research on the development path of cultural and creative industries in the digital economy era. American Journal of Industrial and Business Management, 10, 1237-1249. https://doi.org/10.4236/ajibm.2020.107082.
Ministry of Industry and Information Technology. (2023). Annual Report on China’s Digital Economy Development. Retrieved December 20, 2024, from https://www.miit.gov.cn
National Bureau of Statistics. (2023). Statistical communiqué of the people’s republic of China on the 2022 national economic and social development. Retrieved December 20, 2024, from http://www.stats.gov.cn
Porter, M. E. (1990). The competitive advantage of nations. New York: Free Press.
Shen, G., & Zhu, K. (2023). AI-driven heritage preservation in the digital age. Journal of Cultural Informatics, 10(3), 113-125.
Shuai, Y. (2024). Research on the current situation and countermeasures for the development of the digital culture industry in Shiyan City. Academic Journal of Management and Social Sciences, 7(3), 58-62. https://doi.org/10.54097/5a948b52
Song, L., & Wen, Y. (2023). Financial subsidies, tax incentives and technological innovation in China's integrated circuit industry. Journal of Innovation & Knowledge, 8(3), 100406. https://doi.org/10.1016/j.jik.2023.100406
Luo, Q., & Zhao, X. (2024). Intellectual property protection intensity and regional technological innovation structure: Based on the perspective of economic complexity theory. Heliyon, 10(21), e39964. https://doi.org/10.1016/j.heliyon.2024.e39964
Wang, Y. (2024). Financial and technological bottlenecks in SMEs’ digital transition. Journal of Digital Business Transformation, 9(1), 52-66.
Xiaojuan, J. (2023). Technology and culture in the digital era. Social Sciences in China, 44(1), 4-24. https://doi.org/10.1080/02529203.2023.2192080
Xu, J. (2024). Algorithmic ethics and social justice in digital society. Information Ethics Review, 15(2), 70-87.
Xu, Z., Elomri, A., Baldacci, R., Kerbache, L., & Wu, Z. (2024). Frontiers and trends of supply chain optimization in the age of industry 4.0: An operations research perspective. Annals of Operations Research, 338, 1359-1401. https://doi.org/10.1007/s10479-024-05879-9
Yano, C. R. (2021). Cool Japan: Media, culture and nation branding. North Carolina: Duke University Press.
Yuan, S., Yang, W., Tian, X., & Tang, W. (2024). A blockchain-based privacy preserving intellectual property authentication method. Symmetry, 16(5), 622. https://doi.org/10.3390/sym16050622
Yuan, Y. (2024). NFT and meta-universe development in China. Technology and Culture Journal, 8(1), 66–81.
Zhan, R., Wu, J., & Wang, S. (2024). Influence factors and implementation pathways for the green transformation of private enterprises in Guangdong based on grounded theory and AHP analysis method. Journal of Innovation and Development, 7(2), 47-52. https://doi.org/10.54097/n2khk904
Zheng, S., & Zheng, J. (2024). Visual storytelling in cross-cultural communication. Media and Culture, 19(1), 40-55.
