Vollständiger Abstract
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Introduction Using panel data for 282 Chinese cities from 2011 to 2023, this study examines whether AIoriented place-based policy promotes urban green development. Methods We exploit the staggered rollout of China’s National New Generation Artificial Intelligence Innovation and Development Pilot Zones (AIIDPZ) as a quasi-natural experiment and estimate its causal effect on urban green total factor productivity (GTFP) using a staggered difference-in-differences approach. Results The results show that AIIDPZ significantly improves urban GTFP. Mechanism analyses suggest that this effect mainly operates through industrial structure upgrading and green technological innovation. Heterogeneity tests further show that the effect is stronger in eastern cities, non-resource-based cities, and cities with better digital infrastructure. Discussion Overall, this study provides new evidence that AI-oriented public policy can contribute to green development and offers implications for the design of regional innovation policy.
Bibliografischer Nachweis
Publikationsdaten
- Autor:innen
- Chuanbo Zhou, Hansha Gu, Zhusan Yang
- Quelle
- Frontiers in Environmental Science
- Publikation
- 2026-01-01
- Band / Ausgabe
- Nicht angegeben
- Seiten
- Nicht angegeben
- ISSN / ISBN
- 2296-665X
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Zitierfähiger Nachweis
Chuanbo Zhou, Hansha Gu, Zhusan Yang (2026). Can artificial intelligence be the answer to green development? evidence from China’s artificial intelligence innovation and development pilot zones. Frontiers in Environmental Science. https://doi.org/10.3389/fenvs.2026.1808785
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