How Does Green Location-Oriented Policy Enhance New Energy Technology Innovation? Evidence from Green Industrial Parks

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:Scholars studying green industrial policy and energy innovation should note the robust causal evidence from a large-scale quasi-experiment.

🏢実務担当者:Corporate sustainability teams in renewable energy sectors can use the findings to understand how locating in green parks may enhance innovation capacity.

🏛政策担当者:Policymakers can learn from China's GIP model for designing place-based policies to accelerate clean energy innovation.

Against the backdrop of China’s “dual carbon” goals and rising global uncertainties, new energy technology innovation plays a critical role in advancing low-carbon transitions and ensuring energy security. However, existing studies mainly focus on single policy instruments, with limited attention to the causal effects of comprehensive, location-based policies. This study treats the establishment of National Green Industrial Parks (GIPs) as a quasi-natural experiment and employs a multi-period difference-in-differences (DID) approach based on panel data from 289 Chinese cities over 2008–2023. The results show that GIPs significantly increase local new energy innovation by approximately 19.1%, and this effect remains robust across multiple tests. Mechanism analysis indicates that fiscal support, green innovation, and industrial agglomeration are the main driving channels. Heterogeneity analysis further reveals stronger effects in the biomass (ρ = 0.243, p < 0.01) and wind energy (ρ = 0.179, p < 0.01) sectors, as well as in cities located southeast of the Hu Huanyong Line, with higher fiscal expenditure, and in non-resource-based cities. These findings provide empirical evidence for optimizing industrial park policies and promoting energy transition through localized policy diffusion.

• openalex https://doi.org/10.3390/su18084076first seen 2026-05-15 17:02:19