Understanding the Influencing Factors of Enterprise Transformation and Upgrading Capability: A Case Study of the National Innovation Demonstration Zones, China

被引:4
作者
Ma, Zongguo [1 ]
Fan, Xueai [1 ]
Zhang, Yanli [1 ]
Hu, Beibei [1 ]
机构
[1] Shandong Normal Univ, Sch Business, Jinan 250358, Peoples R China
关键词
transformation; upgrading capability; influencing factors; National Innovation Demonstration Zone; MEDIUM-SIZED ENTERPRISES; DIGITAL TRANSFORMATION; STRATEGY; POLICY; SYSTEM; SMES;
D O I
10.3390/su15032711
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Being at the forefront of China's regional innovation and development, enterprises in the National Innovation Demonstration Zones must take the lead in completing high-quality transformation and upgrading. In this study, we use data from 1770 manufacturing companies from China's 21 National Innovation Demonstration Zones. Based on the multi-factor influence model, we quantitatively study a series of factors that affect enterprise transformation and upgrading capability in terms of innovation-driven input, economically beneficial output, regional high-quality development, and the enterprise's basic environment. The research results show a good trend in enterprise transformation and upgrading capability, and 45% of the enterprises have higher capabilities than the average of these zones. There are significant differences in these capabilities across the different National Innovation Demonstration Zones. Economically beneficial output has a relatively large impact on enterprise transformation and upgrading capability, while innovation-driven input, regional high-quality development, and the enterprise's basic environment all have a relatively small impact. We suggest that the National Innovation Demonstration Zones and relevant departments should provide policy guarantees for enterprise transformation and upgrading in terms of regional systems, industrial chain layout, and soft environment optimization, so as to fully enable policy benefits from top-level design.
引用
收藏
页数:25
相关论文
共 54 条
[11]   Behavioral DEA model and its application to the efficiency evaluation of manufacturing transformation and upgrading in the Yangtze River Delta [J].
Chen, Xiaoqing ;
Liu, Xinwang ;
Wang, Weizhong ;
Gong, Zaiwu .
SOFT COMPUTING, 2020, 24 (14) :10721-10738
[12]  
Dong T., 2021, EVALUATION SYSTEM PU
[13]   An overview of "Energy plus Internet" in China [J].
Feng, Chao ;
Liao, Xia .
JOURNAL OF CLEANER PRODUCTION, 2020, 258
[14]   The effects of digital transformation on innovation and productivity: Firm-level evidence of South African manufacturing micro and small enterprises [J].
Gaglio, Cyrielle ;
Kraemer-Mbula, Erika ;
Lorenz, Edward .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2022, 182
[15]   International trade and industrial upgrading in the apparel commodity chain [J].
Gereffi, G .
JOURNAL OF INTERNATIONAL ECONOMICS, 1999, 48 (01) :37-70
[16]   Driving Elements of Enterprise Digital Transformation Based on the Perspective of Dynamic Evolution [J].
Han, Xiao ;
Zheng, Yang .
SUSTAINABILITY, 2022, 14 (16)
[17]   Technology upgrading of Small-and-Medium-sized Enterprises (SMEs) through a manpower secondment strategy A mixed-methods study of Singapore's T-Up program [J].
Ho, Yuen-Ping ;
Ruan, Yi ;
Hang, Chang-Chieh ;
Wong, Poh-Kam .
TECHNOVATION, 2016, 57-58 :21-29
[18]   Energy transition in Germany and regional spill-overs: The diffusion of renewable energy in firms [J].
Horbach, Jens ;
Rammer, Christian .
ENERGY POLICY, 2018, 121 :404-414
[19]   Equipment upgrade service provision in the context of servitization: drivers, capabilities, and resources [J].
Khan, Muztoba Ahmad ;
Stoll, Oliver ;
West, Shaun ;
Wuest, Thorsten .
PRODUCTION PLANNING & CONTROL, 2024, 35 (02) :187-205
[20]   A multiple transmitter and receiver electromagnetic system for improved target detection [J].
Kolaj, Michal ;
Smith, Richard S. .
GEOPHYSICS, 2015, 80 (04) :E247-E255