Building Evaluation Model for Low-Carbon Transformation of Power Systems Based on Ecological Modernization Theory

Under the dual carbon goals, evaluating and optimizing low-carbon transformation pathways for power systems, the largest carbon-emitting sector, is crucial for sustainability. Based on ecological modernization theory, this paper develops an evaluation framework integrating ecological, climatic, and industrial structural dimensions. Analysis of provincial transformation from 2018 to 2022 shows accelerated low-carbon progress, with scores rising from 0.15 to 0.81, transitioning from improvement status to innovation leadership. Grey correlation analysis reveals technological innovation (0.892), funding (0.857), and institutional barriers (0.823) as key limiting factors. This paper proposes recommendations focusing on technological innovation, resource allocation, institutional reform, and collaborative governance, providing theoretical and policy guidance for power systems’ low-carbon transformation.

Authors

Institutions

Publication Details

Published
2025-04-25
DOI
https://doi.org/10.1109/aaiee64965.2025.11101001
Citations
1
Primary Topic
Environmental Impact and Sustainability
Type
article
Field-Weighted Citation Impact
0.80
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Building Evaluation Model for Low-Carbon Transformation of Power Systems Based on Ecological Modernization Theory

Liang Zhao, Wenting Wu
1 citations
Environmental Impact and Sustainability
0.80
article

Building Evaluation Model for Low-Carbon Transformation of Power Systems Based on Ecological Modernization Theory

Liang Zhao, Wenting Wu
article en
1 citations

Abstract

Under the dual carbon goals, evaluating and optimizing low-carbon transformation pathways for power systems, the largest carbon-emitting sector, is crucial for sustainability. Based on ecological modernization theory, this paper develops an evaluation framework integrating ecological, climatic, and industrial structural dimensions. Analysis of provincial transformation from 2018 to 2022 shows accelerated low-carbon progress, with scores rising from 0.15 to 0.81, transitioning from improvement status to innovation leadership. Grey correlation analysis reveals technological innovation (0.892), funding (0.857), and institutional barriers (0.823) as key limiting factors. This paper proposes recommendations focusing on technological innovation, resource allocation, institutional reform, and collaborative governance, providing theoretical and policy guidance for power systems’ low-carbon transformation.

Lanzhou University of Technology (CN), Gansu Great Wall Electrical and Electronics Engineering Research Institute (CN), Gansu Institute of Mechanical and Electrical Technology (CN), Lanzhou University (CN)
Openalex Percentile: Top 26%
Environmental Impact and Sustainability
0.80
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.