The high-quality development in Beijing-Tianjin-Hebei regions: Based on the perspective of comparison

被引:11
作者
Li, Weihong [1 ]
Song, Hongfang [2 ]
Dong, Fan [2 ]
Li, Fengfeng [2 ]
机构
[1] Hebei Univ Econ & Business, Sch Business Adm, Shijiazhuang 050061, Hebei, Peoples R China
[2] Hebei Univ Econ & Business, Sch Management Sci & Engn, Shijiazhuang 050061, Hebei, Peoples R China
来源
8TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT (ITQM 2020 & 2021): DEVELOPING GLOBAL DIGITAL ECONOMY AFTER COVID-19 | 2022年 / 199卷
关键词
High-quality development; Entropy weight method; Beijing-Tianjin-Hebei region;
D O I
10.1016/j.procs.2022.01.158
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Chinese economy has changed from high-speed growth stage to high-quality development stage. Beijing-Tianjin-Hebei region is an essential part of economic development in China, where high-quality development and realize innovation-driven development need to be achieved urgently. In this paper, an index system is constructed to measure the high-quality development of Beijing-Tianjin-Hebei region, and the entropy weight method is used to measure the high-quality development of Beijing-Tianjin-Hebei region. The results indicate that from the perspective of vertical development, the high-quality development of Beijing-Tianjin-Hebei region from 2009 to 2018 is on the rise year by year. Besides, Hebei has presented a rebound development recent years due to the weak development foundation in the early stage. Tianjin develops evenly with an annual growth rate of 10%, and Beijing has also been growing steadily. From the perspective of horizontal development, the high-quality development of Beijing-Tianjin-Hebei region is significantly unbalanced, and the comprehensive index of high-quality development in Beijing is significantly higher than that in Tianjin and Hebei, demonstrating a large gap in high-quality development among Beijing and the other two regions. The innovation contribution of the target layer to the criterion layer is the largest. (C) 2021 The Authors. Published by Elsevier B.V.
引用
收藏
页码:1244 / 1251
页数:8
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