摘要
通过运用主成分分析和聚类分析方法,综合工业经济基础、经济效益竞争力、市场竞争力、技术创新竞争力、生态竞争力等五个方面的因素,构建工业竞争力评价指标体系,结合我国31个省市自治区2020年的工业发展数据,对我国省域工业竞争力水平进行比较分析,结果表明,我国各省域间工业竞争力差异明显,广东、江苏、浙江、山东四省的工业竞争力优势明显;在影响工业竞争力的因素中,工业经济效益和技术创新水平有待提升。
Through the use of principal component analysis and cluster analysis,the industrial competitiveness evaluation index system was constructed by integrating five factors,including industrial economic foundation,economic efficiency competitiveness,market competitiveness,technological innovation competitiveness and ecological competitiveness,etc.,and the industrial development data of 31 provinces,cities and autonomous regions in China in 2020 were combined to conduct a comparative analysis of the level of industrial competitiveness of China's provinces and regions,and the results showed that The differences in industrial competitiveness among provinces and regions are obvious,and the industrial competitiveness of Guangdong,Jiangsu,Zhejiang and Shandong provinces has obvious advantages;among the factors affecting industrial competitiveness,the level of industrial economic efficiency and technological innovation needs to be improved.
作者
马际博
Ma Jibo(Institute of Economics,Hebei University of Economics and Business,Shijiazhuang Hebei 050062,China)
出处
《现代工业经济和信息化》
2023年第7期1-4,共4页
Modern Industrial Economy and Informationization
基金
2023年河北经贸大学硕士研究生创新计划项目(XYCX202347)。
关键词
省域工业竞争力
指标体系
主成分分析
聚类分析
provincial industrial competitiveness
index system
principal component analysis
cluster analysis
