Multi-Dimensional Effect Analysis of Policy Synergy Degree of China’s Coal Capacity Governance Based on the Hierarchical Linear Model

Achieving a secure and stable energy supply while steadily advancing the dual-carbon goals constitutes a dual strategic task for China’s sustainable development. Capacity governance policies serve as an effective tool for the government to regulate industrial capacity, facilitating a balance between supply and demand through interventions on both the production and consumption sides. As a fundamental energy source in China, coal capacity governance policies involve complexity and span multiple domains, with their effectiveness relying on synergy across different levels and departments. Using a hierarchical linear model, this study examines the specific impacts of policy synergy in capacity governance—from both the central and local government perspectives—on local economic, environmental, and social outcomes. The findings indicate that policy synergy at the central level yields significant economic and social benefits, while its environmental benefits remain less evident. In contrast, policy synergy at the local level demonstrates significant positive effects across all three dimensions: economic, environmental, and social. By quantitatively assessing the tiered differences in the multidimensional benefits of policy synergy, this study provides a scientific basis and theoretical support for both central and local governments to pursue maximized economic, environmental, and social benefits.

Authors

Institutions

Publication Details

Journal
Energies
Published
2026-02-09
DOI
https://doi.org/10.3390/en19040902
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multi-Dimensional Effect Analysis of Policy Synergy Degree of China’s Coal Capacity Governance Based on the Hierarchical Linear Model

Fangming Xie, Jieyun Wei, Wenwen Chen, Dandan Liu et al.
Energies
Energy, Environment, Economic Growth
article

Multi-Dimensional Effect Analysis of Policy Synergy Degree of China’s Coal Capacity Governance Based on the Hierarchical Linear Model

Fangming Xie, Jieyun Wei, Wenwen Chen, Dandan Liu, Huimin Ma
article en

Abstract

Achieving a secure and stable energy supply while steadily advancing the dual-carbon goals constitutes a dual strategic task for China’s sustainable development. Capacity governance policies serve as an effective tool for the government to regulate industrial capacity, facilitating a balance between supply and demand through interventions on both the production and consumption sides. As a fundamental energy source in China, coal capacity governance policies involve complexity and span multiple domains, with their effectiveness relying on synergy across different levels and departments. Using a hierarchical linear model, this study examines the specific impacts of policy synergy in capacity governance—from both the central and local government perspectives—on local economic, environmental, and social outcomes. The findings indicate that policy synergy at the central level yields significant economic and social benefits, while its environmental benefits remain less evident. In contrast, policy synergy at the local level demonstrates significant positive effects across all three dimensions: economic, environmental, and social. By quantitatively assessing the tiered differences in the multidimensional benefits of policy synergy, this study provides a scientific basis and theoretical support for both central and local governments to pursue maximized economic, environmental, and social benefits.

EnergiesVol. 19(4)
Xuzhou University of Technology (CN), China University of Mining and Technology (CN)
Xuzhou Science and Technology Program
Openalex Percentile: Top 66%
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.

Multi-Dimensional Effect Analysis of Policy Synergy Degree of China’s Coal Capacity Governance Based on the Hierarchical Linear Model — Fangming Xie, Jieyun Wei, et al. · Energies (2026) | TGRS Research Map | TGRS