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2022 ◽  
Author(s):  
Yuwen Chen ◽  
Jian Ma ◽  
Peihu Zhu ◽  
Xiaoming Huang ◽  
Qin Jin
Keyword(s):  

2021 ◽  
Vol 13 (23) ◽  
pp. 13459
Author(s):  
Jiafeng Gu

The development of a difference-in-differences estimator is a new move in patent policy evaluation research. However, such an estimator neglects the possibility that academic patent activities follow a spatial autoregressive process with respect to the dependent variable. The objective of this study was to propose a spatial difference-in-differences estimator accounting for possible spatial spillover effects. In this study, an empirical analysis of a sample of 31 Chinese provinces from 2010 to 2019 indicates that an incentive patent policy has a positive impact on the output and commercialization of academic patents, with positive effects also spilling over into neighboring provinces. This study further found that incentive patent policies play a placebo role in academic patent activities. Provincial patent policies are merely a proxy for other variables that characterize the systemic differences between provinces that implement patent policies and those that do not. Therefore, the promotion of academic patent activities cannot be attributed to policy incentives.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shu-Hao Chang

Purpose The application of laser and optical technologies in the industry is wide and extensive; the development and application of laser and optical technologies have become a promising research domain. However, most existing studies have focused on the technical aspects or the application aspects; these studies have not highlighted the technology distribution and application development of laser and optical technologies from the big picture. Additionally, the manner in which the research and development (R&D) results of universities correspond to the needs of enterprises and industry has become a topic of concern for the public. Therefore, this study aims to adopt the academic patents as the basis for analysis and to construct a laser and optical technology network. Design/methodology/approach Therefore, in the current study, the researchers have analyzed relevant academic patent technology networks, using academic patents of laser and optical technologies as a basis of analysis. Findings The study results indicated that the key technologies mainly lie in nanostructures, metal-working, material analysis and semiconductor devices. Additionally, these technologies are mainly applied in industries, such as optics, medical technology, pharmaceuticals, biotechnology and organic fine chemistry; this indicated that a large proportion of academia’s R&D outcomes are applied in these industries. Originality/value In this study, the researchers have constructed a technology network model to explore the technical development direction of laser and optical technologies; the results of the current study could serve as a reference for universities and industry for allocation of R&D resources.


Author(s):  
Shu-Hao Chang

Abstract International technology transfer is a determinant of a country’s national revenue and economic growth. Technology exported through international technology transfer can be the factor that gives a country a competitive edge. Therefore, investigation of international technology transfer has become essential. With the role of universities in innovation changing, academic patents have increased significantly over the past 10 years. Thus, this study used academic patents involved in international technology transfer as a basis for analysis and attempted to identify technological hotspots through a technological structure network analysis. The results indicated that key technologies in academic patent–based international technology transfer networks were mainly concentrated on measurement, nanotechnology, medical technology, biotechnology, and electric digital data processing. An academic patent technological hotspot network model was established to serve as a reference for academic technology transfers as well as for governments in their promotion of emerging technologies.


2019 ◽  
Vol 14 (4) ◽  
pp. 66-77
Author(s):  
Rafael Angelo Santos Leite ◽  
Iracema M. de A. Gomes ◽  
Suzana L. Russo ◽  
Cicero C. S. Walter

2017 ◽  
Vol 46 (2) ◽  
pp. 463-474 ◽  
Author(s):  
Joaquín M. Azagra-Caro ◽  
David Barberá-Tomás ◽  
Mónica Edwards-Schachter ◽  
Elena M. Tur

2016 ◽  
Vol 42 (3) ◽  
pp. 538-563 ◽  
Author(s):  
Charlotta Dahlborg ◽  
Danielle Lewensohn ◽  
Rickard Danell ◽  
Carl Johan Sundberg
Keyword(s):  

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