Evaluation of economic green development in Jiangsu Province based on principal component analysis and cluster analysis
基于主成分分析和聚类分析的江苏省经济绿色发展评价研究

摘要

在可持续发展的背景下，作为中国东部沿海的经济大省，江苏省在推动经济高质量发展的同时，也积极探索绿色发展的新模式、新路径。然而，江苏省内部各市在经济发展水平、产业结构、资源环境等方面存在着显著的差异，这直接影响了其绿色发展的进程和成效。本研究运用主成分分析和聚类分析，对江苏省13个市级行政区的经济绿色发展状况进行综合评价，揭示江苏省各市在绿色经济发展方面的优势与不足。结果发现，各区域间的绿色经济发展水平具有显著差异，苏州、南京、无锡在经济、社会、环境方面具有较好的表现，而盐城、泰州、扬州、镇江、连云港、淮安和宿迁表现不佳，并且经济发展、民生社会、资源与环境与绿色经济发展水平具有明显的同向性。基于此，提出促进江苏省绿色经济发展水平的建议，为其他地区提供借鉴和参考，为政府制定绿色发展战略和政策提供科学依据。

Abstract

In the context of sustainable development, as a major economic province along the eastern coast of China, Jiangsu Province actively explores new models and paths for green development while promoting high-quality economic development. However, there are significant differences among cities within Jiangsu Province in terms of economic development level, industrial structure, resource environment, etc., which directly affects the process and effectiveness of their green development. This study uses principal component analysis and cluster analysis to comprehensively evaluate the economic green development status of 13 municipal administrative regions in Jiangsu Province, revealing the advantages and disadvantages of each city in green economic development in Jiangsu Province. The results showed that there were significant differences in the development level of green economy among different regions. Suzhou, Nanjing, and Wuxi performed well in terms of economy, society, and environment, while Yancheng, Taizhou, Yangzhou, Zhenjiang, Lianyungang, Huai'an, and Suqian performed poorly. Moreover, there was a clear similarity between economic development, people's livelihood, society, resources and environment, and the development level of green economy. Based on this, suggestions are proposed to promote the development level of green economy in Jiangsu Province, providing reference and inspiration for other regions, and providing scientific basis for the government to formulate green development strategies and policies.