Intelligent revolution of educational resources: AI-driven reallocation effects and economic consequences

IF 7.1 2区经济学 Q1 BUSINESS, FINANCE

Finance Research Letters Pub Date : 2026-03-01 Epub Date: 2025-12-26 DOI:10.1016/j.frl.2025.109431

Bo Yang , Hao Hu , Yixuan Li

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引用次数: 0

Abstract

Because artificial intelligence (AI) is deeply integrated into urban governance systems, educational resource allocation is undergoing profound structural transformation. Using panel data from Chinese prefecture-level cities spanning 2000–2023, this study systematically and empirically explores the multidimensional impacts, inherent mechanisms, and economic consequences of AI development on educational resource allocation. Notably, AI development has a significant structural effect on educational resource allocation, substantially increasing the scale of urban fiscal expenditure on education and the number of full-time teachers and promoting rational reductions in the number of schools, which drives the education system toward centralization and digital platforming. This is primarily achieved by enhancing local fiscal coordination capacity and attracting highly educated populations. Furthermore, this AI-driven restructuring of educational resources increases urban per capita GDP. This study underscores the pivotal role of AI in reshaping public resource allocation. Our findings provide significant theoretical support and practical references for resource-constrained regions to develop accurate, AI-enabled education policies, address imbalanced educational development, and promote educational equity and coordinated, sustainable regional development.

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教育资源的智能革命：人工智能驱动的再配置效应与经济后果

随着人工智能深度融入城市治理体系，教育资源配置正在发生深刻的结构性变革。本文利用2000-2023年中国地级市的面板数据，系统、实证地探讨了人工智能发展对教育资源配置的多维影响、内在机制和经济后果。值得注意的是，人工智能的发展对教育资源配置具有显著的结构性影响，大幅增加了城市财政教育支出规模和专任教师数量，促进了学校数量的合理缩减，推动了教育系统的集中化和数字化平台化。这主要是通过提高地方财政协调能力和吸引高学历人口来实现的。此外，这种人工智能驱动的教育资源重组提高了城市人均GDP。这项研究强调了人工智能在重塑公共资源配置中的关键作用。研究结果为资源受限地区制定准确的人工智能教育政策，解决教育发展不平衡问题，促进教育公平和区域协调可持续发展提供了重要的理论支持和实践参考。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Finance Research Letters BUSINESS, FINANCE-

CiteScore

11.10

自引率

14.40%

发文量

863

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