A Systemic Analysis of Green Finance, Renewable Energy Investment, and Regional Economic Growth in China: The Role of Social Technical Interactions and Behavioral Factors

Systemic interaction mechanisms exist in the impact of renewable energy investment on regional economic growth, yet most existing research adopts fragmented analytical perspectives. This study integrates behavioral variables—environmental cognition and risk perception, typically treated as exogenous moderators—as endogenous components within a socio-technical systems framework, examining investment effects and transmission mechanisms across economic, behavioral, and spatial dimensions based on data from 31 Chinese provinces from 2010 to 2022. Findings reveal that investment significantly promotes regional economic growth, with environmental cognition exerting moderating effects and spatial spillover effects being notably significant. Transmission pathways encompass industrial upgrading, technological innovation, green finance, and cognition enhancement, with effects exhibiting pronounced regional heterogeneity. The findings are consistent with the presence of non-additive interaction effects across subsystems, providing empirical foundations for formulating differentiated energy transition policies.

Authors

Institutions

Publication Details

Journal
Systems
Published
2026-04-01
DOI
https://doi.org/10.3390/systems14040384
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Systemic Analysis of Green Finance, Renewable Energy Investment, and Regional Economic Growth in China: The Role of Social Technical Interactions and Behavioral Factors

Christopher Gan, Lei Li, Baihua Dong, Xiaowen Zhuang
Systems
Energy, Environment, Economic Growth
article

A Systemic Analysis of Green Finance, Renewable Energy Investment, and Regional Economic Growth in China: The Role of Social Technical Interactions and Behavioral Factors

Christopher Gan, Lei Li, Baihua Dong, Xiaowen Zhuang
article en

Abstract

Systemic interaction mechanisms exist in the impact of renewable energy investment on regional economic growth, yet most existing research adopts fragmented analytical perspectives. This study integrates behavioral variables—environmental cognition and risk perception, typically treated as exogenous moderators—as endogenous components within a socio-technical systems framework, examining investment effects and transmission mechanisms across economic, behavioral, and spatial dimensions based on data from 31 Chinese provinces from 2010 to 2022. Findings reveal that investment significantly promotes regional economic growth, with environmental cognition exerting moderating effects and spatial spillover effects being notably significant. Transmission pathways encompass industrial upgrading, technological innovation, green finance, and cognition enhancement, with effects exhibiting pronounced regional heterogeneity. The findings are consistent with the presence of non-additive interaction effects across subsystems, providing empirical foundations for formulating differentiated energy transition policies.

SystemsVol. 14(4)
Lincoln University (NZ), Institute of Economics (CN), University College London (GB), Fujian Agriculture and Forestry University (CN), Fuzhou University (CN)
Openalex Percentile: Top 36%
Energy, Environment, Economic Growth
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Systemic Analysis of Green Finance, Renewable Energy Investment, and Regional Economic Growth in China: The Role of Social Technical Interactions and Behavioral Factors — Christopher Gan, Lei Li, et al. · Systems (2026) | TGRS Research Map | TGRS