China Journal of Economics

2025, v.12;No.46(02) 211-229

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Study on the Impact of Information Consumption on the Structural Upgrade of Service Industry: Evidence from the National Information Consumption Pilot

Fei Xue;Jiaqi Liu;Yamei Fu;

Abstract:

As an important emerging consumer sector, information consumption has become a key driver of industrial upgrading and a catalyst for high-quality economic development. Using the “national information consumption pilot” as an exogenous policy shock, this paper evaluates the impact of information consumption pilots on the structural upgrading of the service industry and explores the underlying mechanisms. The analysis is based on panel data from 275 prefecture-level cities in China from 2011 to 2019, employing a staggered difference-in-differences(DID) model. The findings indicate that information consumption pilots significantly enhance the development of productive and modern service industries, thereby promoting the structural upgrading of the service sector. Mechanism analysis reveals that the information consumption pilots primarily foster this structural upgrading through improvements in capital efficiency and technological progress, while the mechanism through which information consumption demand is increased appears to be less significant. Heterogeneity analysis further shows that the pilots have a pronounced positive effect on sectors such as information transmission, computer services and software, real estate, and leasing and business services. Additionally, the pilots have a stronger impact in the eastern regions of China, where more developed information infrastructure amplifies the effect. However, the marginal effect diminishes as the service industry structure improves over time. In light of these findings, this study suggests that effective strategies for developing information consumption should be explored and implemented. The government plays a crucial role in coordinating and unlocking the potential of residential information consumption, ultimately contributing to the creation of a high-quality and efficient service industry system.

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Foundation: 国家自然科学基金青年项目“风险冲击下人工智能产业创新生态系统韧性的时空测度与强化机制研究”(项目批准号:72404224);; 陕西省社会科学基金年度项目“数智化赋能陕西省减污降碳协同治理效应及实现路径研究”(项目批准号:2024D028);陕西省社会科学基金年度项目“基于机器学习的陕西数字经济发展质量监测预警体系构建研究”(项目批准号:2023D042)的资助

Authors: Fei Xue;Jiaqi Liu;Yamei Fu;

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