Spatial Dynamics of Intercity Technology Transfer Networks in China’s Three Urban Agglomerations: A Patent Transaction Perspective

Liu, Chengliang; Niu, Caicheng; Han, Ji

doi:10.3390/su11061647

Cited by 38 publications

(24 citation statements)

References 75 publications

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“…The innovation value chain of patents research funding and human resource input significantly increased the number of SCI papers in universities [12].…”

Section: Plos Onementioning

confidence: 99%

The innovation value chain of patents: Breakthrough in the patent commercialization trap in Chinese universities

et al. 2020

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The innovation value chain is an effective tool for analysing innovation activities and reflects the process of value creation and increase in innovation activities. From the perspective of innovation value chains, we divided patent innovation activities into three stages: knowledge innovation stage, applied research stage and patent commercialization stage. The panel data from 64 universities directly managed by the Ministry of Education from 2009 to 2017 were used and several conclusions were drawn: 1) In the initial stage of knowledge innovation, the fundamental research fund plays a crucial promoting role, and knowledge innovation achievements are mainly published academic papers. 2) In the applied research stage, the knowledge innovation in the early stage and the fund investment in R&D activities have a significant positive effect on the patent output of universities, but the personnel investment has a negative effect. 3) In the final stage of patent commercialization, preliminary research results have a positive impact on patent commercialization, whose marginal effect depends on the industry-university-research relationship, external competition and reputation of the university. The evidence showed that there is a feedback channel between university patent commercialization and knowledge innovation, and new knowledge generated by the interaction with the outside world in the process of patent commercialization was transmitted to the subject of knowledge innovation through this channel, forming a virtuous dynamic cycle. By analysing the driving factors of the value chain of patent innovation in colleges and universities, we provided empirical evidence for the operation mechanism and policy formulation of college patents in China. PLOS ONEPLOS ONE | https://doi.org/10.1371/journal.pone.

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“…The innovation value chain of patents research funding and human resource input significantly increased the number of SCI papers in universities [12].…”

Section: Plos Onementioning

confidence: 99%

The innovation value chain of patents: Breakthrough in the patent commercialization trap in Chinese universities

et al. 2020

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“…Based on the patent transfer data of the State Intellectual Property Office from 2000 to 2015, Zhang et al [42] constructed China's inter-city technology transfer network, and the results showed that there was a certain geographical differentiation in China's inter-city technology transfer. Based on the patent transaction data of China's three major urban agglomerations from 2008 to 2015, Liu et al [43] analyzed the spatial structure and the temporal evolution of the three major urban agglomeration intercity network technology.…”

Section: Literature Reviewmentioning

confidence: 99%

“…They occupied five seats, and they belong to the Beijing-Tianjin-Hebei and Yangtze River Delta regions of China. The three major urban agglomerations of Beijing-Tianjin-Hebei, the Yangtze River Delta, and the GBA are the most dynamic and innovative regions in China with technological proximity [43]. Fujian, Guangxi, Jiangxi, and Hunan are all at the forefront of technical exchanges with the GBA, and these four regions border Guangdong province, showing geographical proximity.…”

Section: Network Node Strength Analysismentioning

confidence: 99%

Structural Characteristics and Spatial Patterns of the Technology Transfer Network in the Guangdong–Hong Kong–Macao Greater Bay Area

2020

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Recently, the Chinese government released the Outline of the Development Plan for the Guangdong–Hong Kong–Macao Greater Bay Area (GBA), raising the development of the GBA urban agglomeration to a national strategy. An efficient technology transfer network is conducive to promoting the integrated and coordinated development and enhancing the scientific and technological innovation capabilities of the GBA urban agglomeration. Therefore, this study uses the patent transaction data for three years (2010, 2014, and 2018), integrates data mining, and uses complex network analysis, based on full-flow and net-flow networks, from the overall characteristics, network node strength, network association, network node importance, and network communities to reveal the structural characteristics and spatial patterns of the technology transfer network in the GBA. The results revealed that: (1) Technology transfer networks (full-flow and net-flow) in the GBA show heterogeneity. (2) Full-flow network presents a clear hierarchy within the GBA, showing a “two poles and two strong” pattern, and technology transfer has the same city preference; outside the GBA, there are close technology transfer regions that have technical and geographical proximity characteristics; the net-flow network presents a “one pole, two strong” pattern, and Guangzhou has become the core region of the net-flow network. (3) Connection objects of the technology transfer network have path dependence and spatial preference. Coexistence of concentration and decentralization characterizes the spatial flow. (4) Spatial distribution of the hub and authority of the technology transfer network is heterogeneous and hierarchical. Each city in the GBA has its own technological advantages. (5) Spatial clustering characteristics of the community within the technology transfer network are obvious. (6) The GBA is dominated by the transfer of patented technology in the high-tech industry, while the transfer of patented technology in the traditional manufacturing industry also plays an important role.

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“…A city with a more competitive market structure or one that is not too large (a population less than 1 million) will also show a higher patent intensity. Liu et al (2019) analyzed the spatial dynamics of intercity technology transfer networks in China's three urban agglomerations based on patent right transaction data in 2008-2015 [26]. They found that Beijing, Shanghai, and Shenzhen are emerging as hubs in the three urban agglomerations.…”

Section: Introductionmentioning

confidence: 99%

Study on the Spatial Pattern of Innovation Output and Influencing Factors in Guangdong-Hong Kong-Macao Greater Bay Area

Yang¹,

Li²

2019

Preprint

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The advantageous location, port clusters, strong economic strength, developed financial system, rational and orderly urban division of labor and modern industrial system of Guangdong-Hong Kong-Macao greater bay area provide sustainable driving force for innovation activities in this region. This paper selected the Gini-coefficient, first degree index and concentration index to measure the spatial pattern characteristics of innovation output in Guangdong-Hong Kong-Macao greater bay area. The results show that the innovation output presented a spatial pattern of center-periphery in the study region with Shenzhen and Guangzhou as the dual centers and engines of innovation and Dongguan and Foshan as the main innovative areas. Further empirical analysis of the impact of various factors on innovation output in the study region found that R&D expenditure, the number of R&D personnel, the level of economic development and industrial structure all have significant promoting effects on innovation output. Accordingly, this paper put forward countermeasures and suggestions to promote the innovative development of Guangdong-Hong Kong-Macao greater bay area and build a world-class scientific and technological innovation bay area.

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Spatial Dynamics of Intercity Technology Transfer Networks in China’s Three Urban Agglomerations: A Patent Transaction Perspective

Cited by 38 publications

References 75 publications

The innovation value chain of patents: Breakthrough in the patent commercialization trap in Chinese universities

The innovation value chain of patents: Breakthrough in the patent commercialization trap in Chinese universities

Structural Characteristics and Spatial Patterns of the Technology Transfer Network in the Guangdong–Hong Kong–Macao Greater Bay Area

Study on the Spatial Pattern of Innovation Output and Influencing Factors in Guangdong-Hong Kong-Macao Greater Bay Area

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