Measuring China's new energy vehicle patents: A social network analysis approach

Sun, Huaping; Geng, Yong; Hu, Lili; Shi, Longyu; Xu, Tong

doi:10.1016/j.energy.2018.04.077

Cited by 117 publications

(47 citation statements)

References 23 publications

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“…The value of social network analysis lies in its ability to map landscapes and illuminate linkages, interactions, and behavioral patterns [65,66]. It is an interdisciplinary academic method used in psychology, sociology, statistics [48], etc. So far, the method has been widely used in various perspectives of social sciences.…”

Section: Methodsmentioning

confidence: 99%

“…Social network analysis (SNA) is an interdisciplinary academic method used in social psychology, sociology, statistics, and graph theory [48]. Regarding collaborative innovation research, SNA is a major method because of its interdisciplinary nature [49].…”

Section: Social Network Analysismentioning

confidence: 99%

“…[53,54]. Moreover, SNA is extensively used in examining the trend of cross-border and international patent collaboration network [48,55,56], illustrating collaboration networks between inventors and applicants [57,58]. Also, there are many scholars employed SNA to analyze citation networks [59][60][61][62].…”

Section: Social Network Analysismentioning

confidence: 99%

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Exploring and Visualizing the Patent Collaboration Network: A Case Study of Smart Grid Field in China

et al. 2019

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Smart grids (SGs) have been widely recognized as an enabling technology for delivering sustainable energy transitions. SGs have a positive effect on the development of the world economy and society. SG construction plays an important role in responding to global climate change and promoting the sustainable development of the world economy and society. Under such a background, this paper attempts to investigate patent collaborations of the SG field in China. Based on the application data of collaborative patents from State Intellectual Property Office (SIPO) in China, this study employs complex network theory and social network analysis (SNA) method and conducts in-depth research on the patent collaboration network of SG field in China. The trend of patent collaboration was examined, the collaboration network of SG-related patents was investigated, the network characteristics, and the network structure were also explored. The results show that the proportion of enterprises participating in patent collaboration is relatively large for SG field in China, the percentage of collaboration relationships formed by different patent applicants varies greatly, and that the State Grid Corporation of China (SGCC) plays an important role in patent collaboration in SG field currently. It can also be found that patent collaboration is an effective form of cooperative innovation among different entities. Finally, three suggestions are provided in response to the existing problems.

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Section: Methodsmentioning

confidence: 99%

Section: Social Network Analysismentioning

confidence: 99%

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Exploring and Visualizing the Patent Collaboration Network: A Case Study of Smart Grid Field in China

et al. 2019

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“…Although government subsidies can stimulate the purchase intention of EVs to a certain extent, the effect is relatively weak; the effect of government subsidies is more obvious for the consumers with lower annual household income, higher preferential policies and environmental awareness [7]. The reduction of monetary cost and purchase tax and the emission of low emission are the main factors to stimulate the consumption demand of EVs [8,9]. Increasing the maximum travel distance, reducing charging time, and improving charging convenience can help to stimulate consumers' purchase intention [10].…”

Section: Introductionmentioning

confidence: 99%

Market Cultivation of Electric Vehicles in China: A Survey Based on Consumer Behavior

Yang

Zhang

et al. 2018

Sustainability

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Faced with increasingly serious environmental problems, promoting EVs (electric vehicles) has become an important means of sustainable development. In 2017, EV sales accounted for more than half of the world's total. Although the speed of development is fast, the ownership remains low. In 2017, the market share of EVs in China was only 2.7%. At present, there are few studies on the promotion of EVs. This study seeks to contribute to the organic combination of consumer behavioral characteristics and EV market cultivation. Based on the analysis of relevant research at home and abroad, the consumer behavior of EVs is investigated and the factor analysis is used to simplify the feature categories, in order to obtain consumers' behavior characteristics of EVs. According to the characteristics of consumer behavior of EVs, suggestions are put forward to cultivate EV market from the aspects of existent technology and potential future technology of EVs.

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“…Sun et al took the top 38 organizations with the greatest number of NEV-related patents as study targets and analyzed the cooperative networks based on social network analysis. They thought that the network developed well with a growing density of the network, stable structure and many subgroups [19]. Liu et al provided a multidimensional evaluation model for selecting the developing direction of new energy vehicles, and they found that China should obey the line of "oil-electric hybrid, pure electric, improved hybrid hydrogen fuel cell (hydrogen power), rechargeable hybrid" [20].…”

mentioning

confidence: 99%

Network Position Advantage and Technological Innovation of China’s New Energy Vehicle Based on the Perspective of Network Theory

et al. 2019

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This paper attempts to explore the role of innovation networks in the new energy vehicle industry from the perspective of evolution, by integrating of the overall network and the entities' microscopic features and designing relative variables. Based on market orientation theory social network analysis, the relationship between network location and technological niche and the role of the network relationship strength was examined through empirical data of China's 2009-2017 patents for new energy vehicles. The results show that: (1) There is an inverted U-shaped relationship between the central position and the technological niche "state" and "potential"; (2) There is an inverted U-shaped relationship between the brokerage position and the entities' technological niche "state", and the inverted U-shaped relationship with the technological niche "potential" is not significant;(3) The overall relationship strength of the network modulates the inverted U relationship between the central location and the technological niche. This paper opens up new ideas for the research of the role of innovation networks. The research conclusions have important implications for the management practice of new energy vehicle industries in China through collaborative networks to achieve technological innovation. entities in the market to broaden their own advantages [3]. It can be said that the close relationship between market orientation and multi-entity collaboration is the main driving factor for technological innovation [4]. Actually, entities have developed innovation networks comprising formal and informal links [5], and taken advantage of the network effect to lead and drive the sustainable development, transformation, and upgrading of the industry. China has formed a variety of innovation networks, such as the National New Energy Vehicle Technological Innovation Collaborating Center, the Intelligent New Energy Vehicle Collaborative Innovation Center, the Beijing-Tianjin-Hebei New Energy Vehicle, and the Intelligent Network Alliance Automotive Collaborative Innovation Alliance. Compared with the innovation networks of traditional industries, the new energy vehicle innovation networks realize the integration of economic network, social network and innovation network. These networks consist of diverse entities whose technical and economic relationships are closer and more complex [6], and the technology transfer within networks is more frequent and the models are flexible [7]. Meanwhile, they can form the basis of resource and knowledge interactions among multiple innovation entities with mutually beneficial effects for technological integration and optimization, thus accelerating the speed and efficiency of innovation for dealing with uncertainty and complexity [8].However, there are many problems in the development of many innovation networks, especially network failure caused by the lack of effective management. Therefore, regardless of the stage in which innovation networks are, it is important to manage them effectively, and t...

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Measuring China's new energy vehicle patents: A social network analysis approach

Cited by 117 publications

References 23 publications

Exploring and Visualizing the Patent Collaboration Network: A Case Study of Smart Grid Field in China

Exploring and Visualizing the Patent Collaboration Network: A Case Study of Smart Grid Field in China

Market Cultivation of Electric Vehicles in China: A Survey Based on Consumer Behavior

Network Position Advantage and Technological Innovation of China’s New Energy Vehicle Based on the Perspective of Network Theory

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