Multi-model methods for structural analysis of China's green economy network based on input-output method.
PLoS One
; 19(9): e0309916, 2024.
Article
em En
| MEDLINE
| ID: mdl-39236012
ABSTRACT
The green economy has been advocated globally as a solution to environmental issues. In China, it is considered a national strategy for future economic development. This study utilizes methods such as Industry Network, Maximum Spanning Tree (MST) method, Leiden Community Clustering (LCC) algorithm, and Weaver-Thomas (WT) model to explore the contribution and position of the green economy and industries in China's economic development. The findings are as follows (1) The density of China's green industry network has experienced a process of initially tightening and then loosening, ultimately tending towards stability. (2) The trunk structure of China's industrial network remains relatively stable, forming an industrial structure with electricity, heat production and supply as the core. (3) China's industrial and green industry communities continue to improve and become more cohesive, but some green industries are still on the periphery of communities. (4) The ability of green industries to pull other industries is weak, and the subsequent promotion momentum needs to be improved. However, the green industry still has enormous room for growth and potential to unleash its long-term positive multiplier effects. More attention and support need to be given by managers and decision-makers, so that it can make better contributions to society and the economy.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Desenvolvimento Econômico
/
Indústrias
Limite:
Humans
País/Região como assunto:
Asia
Idioma:
En
Revista:
PLoS One
Assunto da revista:
CIENCIA
/
MEDICINA
Ano de publicação:
2024
Tipo de documento:
Article
País de afiliação:
China
País de publicação:
Estados Unidos