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Multi-model methods for structural analysis of China's green economy network based on input-output method.
Yigang Guo1, Shaoling Ding1,2, Jingliang Huai1
1School of Mathematics and Statistics, Guilin University of Technology, Guilin, China.
Plos One
|September 5, 2024
Summary
China
Area of Science:
- Environmental Economics
- Industrial Economics
- Economic Geography
Background:
- The green economy is a global strategy for environmental solutions.
- China prioritizes the green economy for national economic development.
Purpose of the Study:
- To analyze the contribution and position of green industries within China's economic development.
- To understand the network structure and community evolution of China's green economy.
Main Methods:
- Industry Network Analysis
- Maximum Spanning Tree (MST) method
- Leiden Community Clustering (LCC) algorithm
- Weaver-Thomas (WT) model
Main Results:
- China's green industry network density shows initial tightening, then loosening, stabilizing.
- The core industrial structure is stable, centered on electricity and heat production.
- Industrial and green industry communities are strengthening, though some green sectors remain peripheral.
- Green industries have a weak pull effect on other sectors, needing improved momentum.
Conclusions:
- Despite current limitations, China's green industry possesses significant growth potential and long-term multiplier effects.
- Increased attention and support are crucial for maximizing the societal and economic contributions of the green economy.
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