|
Research on Mechanism of Building Synergistic Competitive Advantages of Industries in Guangdong-Hong Kong-Macao Greater Bay Area
Chiou-Wen Chen1*
1Department of Economics, Zhaoqing University, China
|
Abstract:
The Guangdong-Hong Kong-Macao Greater Bay Area is positioned as the most active bay with a high technological level and the strongest innovation capabilities in the global market. As the cities in the Greater Bay Area are pursuing the integration of management, technology, and enterprise innovation, and emphasizing the development of collaborative innovation, it is important at present to effectively promote the high-quality development of the regional economy and industry. Thus, we apply the basic concepts of industrial theories in the methods of research and summarize four aspects to explore the research topic. We find that leading companies need to be given the responsibility of building an industrial ecosystem and realizing self-evolution through digital transformation in creating a niche for disruptive innovation and development. Furthermore, enterprises need to form industrial chain clusters through the extensional development method of investment and M&A. In addition, enterprises need to build a new industrial aircraft carrier through collaborative competition to realize the expansion of the industrial ecology of the Greater Bay Area in the future.
|
|
Keywords: Greater Bay Area, Disruptive Innovation, Synergistic Competition, Driving Factors, Industry Chains
|
Download PDF
Received:N/A; Revised:N/A; Accepted:N/A; Published:March 30, 2022
|
|
*Corresponding author; e-mail: moea16838@gmail.com
|
|
Citation:Chen, C.W.(2022). Research on Mechanism of Building Synergistic Competitive Advantages of Industries in Guangdong-Hong Kong-Macao Greater Bay Area. International Journal of Business Studies and Innovation, 2(1), 18-30. https://doi.org/10.35745/ijbsi2022v02.01.0002
98 Views 104 Downloads |
Copyright: ©
2022
The Author(s). Published with license by IIKII, Singapore. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
|