共 50 条
Digital transformation, productive services agglomeration and innovation performance
被引:2
|作者:
Ding, Yingying
[1
]
Shi, Ziyi
[2
]
Xi, Ruichao
[3
]
Diao, Yanxia
[4
]
Hu, Yu
[5
]
机构:
[1] Weifang Univ Sci & Technol, Ctr Agr Sage Culture Studies, Weifang 262700, Shandong, Peoples R China
[2] Harbin Engn Univ, Sch Econ & Management, Harbin 150000, Heilongjiang, Peoples R China
[3] Shandong Univ Technol, Sch Econ, Zibo 255000, Shandong, Peoples R China
[4] Shandong Univ Technol, Management Sch, Zibo 255000, Shandong, Peoples R China
[5] China Inst Marine Technol & Econ, Educ Training & Management Res Ctr, Beijing 100081, Peoples R China
来源:
关键词:
Digital transformation;
Productive services agglomeration;
Innovation performance;
Dynamic threshold model;
Machine learning;
KOLMOGOROV-SMIRNOV TEST;
D O I:
10.1016/j.heliyon.2024.e25534
中图分类号:
O [数理科学和化学];
P [天文学、地球科学];
Q [生物科学];
N [自然科学总论];
学科分类号:
07 ;
0710 ;
09 ;
摘要:
Innovation is a necessary guarantee for sustainable development. Stepping into the digital age, digital transformation has triggered the innovation revolution. This paper takes 30 provinces in China from 2012 to 2022 as the research sample, we verify whether digital transformation has improved innovation performance. Based on the Solow growth model and agglomeration economics theory, we also explore the moderating role and threshold effect of agglomeration in productive service industry between digital transformation and innovation performance. To achieve this, we apply the methods of machine learning and text analysis to construct an evaluation index of regional digital transformation and measure it. The paper finds that China's digital transformation index is increasing, but there is a digital divide between regions. We also determine that digital transformation significantly and positively contributes to the level of innovation performance. Considering the threshold effect of agglomeration in productive service industry, the impact of digital transformation on innovation performance exhibits non-linear characteristics, As the level of agglomeration continues to exceed the threshold, the innovation-driven effect of digital transformation increases. The research results help clarify the relationship between digital transformation and innovation performance, and provide favorable policy directions for regional governments to identify digital divides and make reasonable industrial layouts. Thus, it can promote the construction of digital China and innovation power, injecting strong innovation force into the realization of SDGs.
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页数:22
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