AI-Driven Big Data Policy Systems and Agentic Governance: Evidence from Regional Economic Development in China
Keywords:
Big data policy; regional economic development; digital economy; China; data governance; industrial upgrading; economic disparity; digital transformationAbstract
This study examines how AI-driven big data policy systems and agentic governance frameworks influence regional economic development in China. It explores how data governance, digital infrastructure, and AI agent architectures collectively shape productivity, innovation, and spatial economic disparities. Positioning big data policy as part of China’s digital transformation strategy, the study evaluates its role in industrial upgrading, resource allocation efficiency, and the development of regional innovation ecosystems. It further considers how AI governance mechanisms and agent-based decision systems improve policy execution, transparency, and trust in digital public infrastructure. At the same time, the analysis addresses structural challenges such as uneven technological adoption, labor market segmentation, and regional digital inequality. By integrating perspectives from the digital economy, AI agent architectures, and trustworthy AI governance, the study provides a unified framework for understanding how intelligent policy systems reshape regional development in China
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