The spatial correlation between green investment and energy-structure optimization: Evidence from China

As the world's largest energy consumer, China seeks ways to optimize its energy structure. Using a sample of 30 Chinese provinces, this study develops an indicator system to measure provincial-level energy-structure optimization from 2004 to 2021. We also explore the spatial spillovers of green...

Full description

Saved in:
Bibliographic Details
Published in:Energy strategy reviews 2024-05, Vol.53, p.101391, Article 101391
Main Authors: Chen, Zhizhi, Zhang, Shuxian
Format: Article
Language:English
Subjects:
Energy structure
Green investment
Nonlinear effect
Spatial spillover effect
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:As the world's largest energy consumer, China seeks ways to optimize its energy structure. Using a sample of 30 Chinese provinces, this study develops an indicator system to measure provincial-level energy-structure optimization from 2004 to 2021. We also explore the spatial spillovers of green investment and its nonlinear effects on energy-structure optimization. We find that (1) energy-structure optimization has a significant positive spatial dependence and spatial lag; (2) green investment contributes to local energy-structure optimization but inhibits it in the surrounding regions; and (3) there is regional heterogeneity in spatial spillover effects. Finally, green investment and energy-structure optimization present an M-shaped nonlinear relationship. These findings can provide a reference for the government to further develop green investment policies to optimize energy structure. •Study examines green investment and energy structure across 30 provinces in China.•Green investment promotes the energy-structure optimization.•Green investment has spillover effects on energy-structure optimization.•The spatial spillover effect has regional heterogeneity.•Green investment shows an "M" type relationship on energy-structure optimization.
ISSN:2211-467X
DOI:10.1016/j.esr.2024.101391