School of Mathematics and Statistics, Guilin University of Technology, Guilin, China.
Guangxi Colleges and Universities Key Laboratory of Applied Statistics, Guilin, China.
PLoS One. 2024 Sep 5;19(9):e0309916. doi: 10.1371/journal.pone.0309916. eCollection 2024.
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.
绿色经济已在全球范围内被倡导为解决环境问题的方案。在中国，它被视为未来经济发展的国家战略。本研究采用产业网络、最大生成树（MST）方法、莱顿社区聚类（LCC）算法和韦弗-托马斯（WT）模型等方法，探讨了绿色经济和产业在中国经济发展中的贡献和地位。研究结果如下：（1）中国绿色产业网络的密度经历了一个先紧后松的过程，最终趋于稳定。（2）中国产业网络的主干结构仍然相对稳定，形成了以电力、热力生产和供应为核心的产业结构。（3）中国产业和绿色产业社区不断提高，凝聚力增强，但一些绿色产业仍处于社区边缘。（4）绿色产业拉动其他产业的能力较弱，后续的推动势头有待提高。然而，绿色产业仍有巨大的增长空间和潜力，可以释放其长期的积极乘数效应。管理者和决策者需要给予更多关注和支持，使绿色产业能够为社会和经济做出更好的贡献。
