杨雪晴,谢朝阳.基于GPCA模型的城市信用环境评价研究——以京津冀、长三角、珠三角城市群为例[J].唐山学院学报,2023,36(6):79-86,97 |
基于GPCA模型的城市信用环境评价研究——以京津冀、长三角、珠三角城市群为例 |
Research on Urban Credit Environment Evaluation Based on GPCA Model: With the Urban Agglomerations in Beijing-Tianjin-Hebei, Yangtze River and Pear River Delta as Examples |
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DOI:10.16160/j.cnki.tsxyxb.2023.06.014 |
中文关键词: 信用环境 评价指标体系 GPCA模型 城市群 |
英文关键词: credit environment evaluation system GPCA model urban agglomeration |
基金项目:北京市社会科学基金项目(17YJB019) |
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中文摘要: |
文章在构建城市信用环境评价指标体系的基础上,运用GPCA模型对京津冀、长三角和珠三角城市群中54个地级市2000-2019年的信用环境进行了评价。研究发现,三大城市群信用环境水平提升显著,呈现出阶段性发展的特征;珠三角城市群信用环境优于京津冀、长三角城市群,三者分别在经济与通信、行政与教育、企业发展与对外开放方面突显优势;各城市群内部的信用环境发展不平衡现象日益凸显。 |
英文摘要: |
Based on the establishment of the urban credit environment evaluation index system,this paper uses the GPCA model to evaluate the credit environment of 54 prefecture-level cities in Beijing-Tianjin-Hebei, Yangtze River and Pearl River Delta from 2000 to 2019. It is found that the credit environment of the three major urban agglomerations has improved significantly,which is characterized by phased development. The credit environment of the Pearl River Delta is better than that of the Beijing-Tianjin-Hebei and the Yangtze River Delta. The three agglomerations have outstanding advantages in economy and communication, administration and education, enterprises development and opening-up. The uneven development of the credit environment within each urban agglomeration is becoming increasingly prominent. |
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