Can green finance policy reduce energy consumption: quasi-natural experimental evidence from green finance reform and innovations pilot zone DOI Creative Commons

Lu Lv,

Bingnan Guo

Frontiers in Environmental Science, Год журнала: 2025, Номер 13

Опубликована: Фев. 24, 2025

Introduction The Green Finance Pilot Policy is a crucial initiative in China’s green finance reform, playing significant role reducing energy consumption and achieving carbon neutrality goals. This study examines whether the establishment of reform innovation pilot zones effectively reduces explores underlying mechanisms its impact. Methods Using panel data from 30 provincial-level administrative regions China 2013 to 2021, this employs staggered Difference-in-Differences (DID) model as quasi-natural experiment. analysis evaluates effect policy on investigates mediating effects industrial structure optimization innovation. Results results indicate that significantly reduce levels, conclusion remains robust after series robustness tests. Mechanism reveals primarily by optimizing promoting Discussion These findings provide new evidence for understanding impact offer insights further unlocking energy-saving potential policy. suggests deepening institutional frameworks, establishing long-term support mechanisms, implementation strategies enhance effectiveness conservation emissions reduction.

Язык: Английский

Can green finance policy reduce energy consumption: quasi-natural experimental evidence from green finance reform and innovations pilot zone DOI Creative Commons

Lu Lv,

Bingnan Guo

Frontiers in Environmental Science, Год журнала: 2025, Номер 13

Опубликована: Фев. 24, 2025

Introduction The Green Finance Pilot Policy is a crucial initiative in China’s green finance reform, playing significant role reducing energy consumption and achieving carbon neutrality goals. This study examines whether the establishment of reform innovation pilot zones effectively reduces explores underlying mechanisms its impact. Methods Using panel data from 30 provincial-level administrative regions China 2013 to 2021, this employs staggered Difference-in-Differences (DID) model as quasi-natural experiment. analysis evaluates effect policy on investigates mediating effects industrial structure optimization innovation. Results results indicate that significantly reduce levels, conclusion remains robust after series robustness tests. Mechanism reveals primarily by optimizing promoting Discussion These findings provide new evidence for understanding impact offer insights further unlocking energy-saving potential policy. suggests deepening institutional frameworks, establishing long-term support mechanisms, implementation strategies enhance effectiveness conservation emissions reduction.

Язык: Английский

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