统计与决策2024，Vol.40Issue(18)：97-102,6.DOI:10.13546/j.cnki.tjyjc.2024.18.017
产业链高质量发展水平测度、动态演进及障碍因子识别
Measurement,Dynamic Evolution and Obstacle Factor Identification of High-quality Development Level of Industrial Chain
摘要
Abstract
This paper constructs an evaluation index system for high-quality development level of industrial chains from the five dimensions of innovation,coordination,green,openness,and sharing,then uses panel data of 30 provinces in China from 2011 to 2022,and adopts CRITIC-TOPSIS model,kernel density estimation,and obstacle degree model to analyze the high-quality de-velopment level of industrial chains and obstacle factors.The research shows that the overall high-quality development level of the industrial chain is increasing year by year,but the southern region is ahead of the northern region both in terms of both develop-ment level and development speed.The kernel density curve of high-quality development level of the industrial chain shows a sig-nificant right-trailing feature.The kernel density curve in the southern region shows a trend of extension and convergence,while in the northern region,it changes from extension and convergence to extension and broadening.关键词
产业链/高质量发展/动态演进/障碍因子Key words
industrial chain/high-quality development/dynamic evolution/obstacle factors分类
管理科学引用本文复制引用
潘红玉,潘为华..产业链高质量发展水平测度、动态演进及障碍因子识别[J].统计与决策,2024,40(18):97-102,6.基金项目
教育部人文社会科学研究项目(23YJC790102) （23YJC790102）
湖南省社会科学基金资助项目(23YBA288) （23YBA288）
湖南财政经济学院校级教改课题 （）
