Research on the Inner Logic, Dynamic Mechanism, and Evolutionary Path of Digital Economy Development
DOI:
https://doi.org/10.61173/b72aqk44Keywords:
Digital Economy, Internal Logic, Driving Mechanism, Evolution Path, Intelligent DevelopmentAbstract
As a significant driving force of the world economy, the digital economy takes on an extremely important role in the economic development of all countries. This paper discusses the internal logic, motivation and evolution of digital economy. Based on the understanding of the concept of digital economy, this paper explains the differences between the digital economy and the traditional economy and the role played by digital technology. Analyzing the inherent development patterns of digital economy from the perspectives of technological factors, economic factors, social factors, etc., this paper examines influencing factors such as technological innovation, market demand, policy support, and industrial convergence on the digital economy. Furthermore, it categorizes the development stages of the digital economy, proposes corresponding evolutionary models, and predicts future development trends. Finally, it suggests that the government improve data governance and social supervision to provide a foundation for the sustainable development of the digital economy.
References
[1] D. Dan, The impact of establishing pilot free trade zones on integration into the digital global value chain, Contemp. Soc. Sci. 10 (2025) 103–118.
[2] Z. Wen, H. Wenlong, L. Xuemei, Digital wealth creation, distribution and common prosperity, Soc. Sci. China 45 (2024) 38–56.
[3] G. Chaoxian, H. Wei, Industrial organization in the digital economy era: Evolution and effects, China Econ. 19 (2024) 15–36.
[4] X. Yihan, L. Zhenlin, Digital transformation and the frontier of China’s state governance, Soc. Sci. China 45 (2024) 70–91.
[5] H. Yanghua, L. Cunna, A theory of digital economy development: An examination of the practice of Chinese platforms, Soc. Sci. China 45 (2024) 36–53.
[6] Z. Yurong, L. Ziling, Research on pathways of how digital transformation affects the business performance of MEEC enterprises in Chengdu, Contemp. Soc. Sci. 9 (2024) 99–121.
[7] X. Zhao, X. Wang, H. Chen, et al., Technology innovation management: Topic evolutions and research trends from 1968 to 2022, Innov. Dev. Policy 5 (2023) 100–122.
[8] Q. Shi, J. Tang, M. Chu, Key issues and progress of industrial big data-based intelligent blast furnace ironmaking technology, Int. J. Miner. Metall. Mater. 30 (2023) 1651–1666.
[9] W. Cungang, Science and technology innovation and the reshaping of the international landscape, Contemp. World (2023) 8–12.
[10] Q. Yongyi, Digital innovation: Organizational foundation and Chinese heterogeneity, China Econ. 18 (2023) 2–22.
[11] Z. Wu, J. Wang, H. Zhong, et al., Sharing economy in local energy markets, J. Mod. Power Syst. Clean Energy 11 (2023) 714–726.
[12] G. Cunbao, Research on smart manufacturing and digital twin technology in manufacturing industry, Int. J. Plant Eng. Manag. 30 (2025) 28–38.
[13] C. Ying, P. Yajie, On the digital transformation of the automobile manufacturing industry in the Chengdu-Chongqing economic circle: Mechanism of action and feasible paths, Contemp. Soc. Sci. 8 (2023) 17–43.
[14] Technical textiles market outlook from 2025 to 2035, China Text. (2025) 33–39.
[15] X. Liu, Z. Liu, X. Dong, Research on countermeasures for the governance of virtual currency crimes in the digital economy era, J. Syst. Sci. Inf. 13 (2025) 61–81.
[16] Z. Wenge, R. Tingyu, Adopting inclusive legal regulation for digital finance in the context of generative AI, Contemp. Soc. Sci. 9 (2025) 120–141.
[17] Z. Xinlin, Q. Fangdao, L. Jibin, Digital economy’s impact on carbon emission performance: Evidence from the Yangtze River Delta, China, Chin. Geogr. Sci. 35 (2025) 217–233.
[18] C. Qiangyuan, Z. Haoyun, L. Sitong, et al., China’s high-quality technology innovation: Scenario narrative and measurement system, China Econ. 20 (2025) 2–28.
[19] C. Jie, L. Wenbo, Regional collaborative innovation advances the development of new quality productive forces: The theoretical basis and paths to realization, Contemp. Soc. Sci. 9 (2024) 1–16.
[20] D. Kang, The impact of the digital economy on financial regulatory costs: An empirical analysis based on the Solow growth model, Contemp. Soc. Sci. 9 (2024) 70–94.
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