Research on the Correlation and Influencing Factors of Digital Technology Innovation in the Guangdong-Hong Kong-Macao Greater Bay Area

被引:3
作者
Chen, Diexin [1 ]
Xiao, Yuxiang [2 ]
Huang, Kaicheng [1 ]
Li, Xiumin [1 ]
机构
[1] Guangdong Univ Technol, Dept Econ & Trade, 161 St Yin Longs St, Guangzhou 510630, Peoples R China
[2] Guangdong Univ Technol, Dept Management, 161 St Yin Longs St, Guangzhou 510630, Peoples R China
基金
中国国家自然科学基金;
关键词
Guangdong-Hong Kong-Macao Greater Bay Area; digital technology; innovation linkage; proximity;
D O I
10.3390/su142214864
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
We investigated the digital technology innovation association's spatial distribution characteristics and influencing factors using social network analysis and a negative binomial gravity regression model. The model was based on the transfer of digital technology patent rights among cities in the Guangdong-Hong Kong-Macao Greater Bay Area from 2010 to 2020. The following are the paper's main findings: First, the digital technology innovation association among cities in the Guangdong-Hong Kong-Macao Greater Bay Area is strengthening, and the accessibility and agglomeration of each city node are improving, as are small-world characteristics. Second, for a long time, the four cities of Guangzhou, Shenzhen, Dongguan, and Foshan have been at the epicenter of digital technology innovation. Third, in a more peripheral position, Zhongshan, Huizhou, and Zhaoqing have gradually increased the number of digital technology innovation linkages with other cities. Fourth, technological and institutional proximity positively impact digital technology innovation associations in the Greater Bay Area, whereas geographical distance has a negative impact. The study's findings can be used to help promote digital technology innovation linkages and develop policies for innovation development in the Greater Bay Area.
引用
收藏
页数:18
相关论文
共 56 条
[1]   Mapping the potentials of regions in Europe to contribute to new knowledge production in Industry 4.0 technologies [J].
Balland, Pierre-Alexandre ;
Boschma, Ron .
REGIONAL STUDIES, 2021, 55 (10-11) :1652-1666
[2]   REGIONAL INNOVATION SYSTEMS - COMPETITIVE REGULATION IN THE NEW EUROPE [J].
COOKE, P .
GEOFORUM, 1992, 23 (03) :365-382
[3]  
Cui X.S., 2020, J BEIJING TECHNOL BU, V35, P37
[4]  
Dang X., 2013, Stud Sci Sci, V31, P1590, DOI [10.16192/j.cnki.1003-2053.2013.10.024, DOI 10.16192/J.CNKI.1003-2053.2013.10.024]
[5]  
[段德忠 Duan Dezhong], 2018, [地理科学, Scientia Geographica Sinica], V38, P1759
[6]  
Eigen-Zucchi C., 2001, THESIS GEORGE MASON
[7]   Structural Characteristics and Spatial Patterns of the Technology Transfer Network in the Guangdong-Hong Kong-Macao Greater Bay Area [J].
Feng, Zhijun ;
Cai, Hechang ;
Zhou, Wen .
SUSTAINABILITY, 2020, 12 (06)
[8]  
[高爽 Gao Shuang], 2019, [热带地理, Tropical Geography], V39, P678
[9]  
Guo H., 2021, Foreign Economics and Management, V9, P3
[10]   Measuring innovative performance: is there an advantage in using multiple indicators? [J].
Hagedoorn, J ;
Cloodt, M .
RESEARCH POLICY, 2003, 32 (08) :1365-1379