Empirical analysis of regional technological innovation efficiency under the background of talent sharing based on SAF model

被引：0
|
作者：
Ji W. [1 ]
Chen B. [1 ]
Gan H. [1 ]
Zhang X. [1 ]
机构：
[1] Guangdong University of Science and Technology, Dongguan
来源：
International Journal of Sustainable Development | 2024年 / 27卷 / 1-2期
关键词：
Empirical analysis; Guangdong Hong Kong Macao Greater Bay Area; regional technological innovation efficiency; SAF model; talent sharing background;
D O I：
10.1504/IJSD.2024.136616
中图分类号：
学科分类号：
摘要：
Regional technological innovation is an important driving force for promoting rapid economic growth. Therefore, this article proposes an empirical study on the efficiency of regional technological innovation in the context of talent sharing based on the SAF model. Taking the Guangdong Hong Kong Macao Greater Bay Area as the research object, determine the evolution process of regional technological innovation in the Greater Bay Area, set principles for selecting efficiency measurement data, select regional technological innovation input and output data from five key cities in the past 20 years, design a regional technological innovation efficiency analysis model based on the SAF model, and empirically verify the technological innovation efficiency of the Greater Bay Area. The empirical results indicate that the innovation efficiency of the Greater Bay Area region is relatively good, with Shenzhen and Hong Kong increasing their technological innovation efficiency to 1.00 and 0.93 respectively. Copyright © 2024 Inderscience Enterprises Ltd.
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页码：93 / 108
页数：15
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