Determinants of highly-cited green patents: The perspective of network characteristics

Chai, Kuang-Cheng; Yang, Yang; Sui, Zhiyong; Chang, Ke-Chiun

doi:10.1371/journal.pone.0240679

Cited by 9 publications

(7 citation statements)

References 36 publications

(48 reference statements)

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“…Additionally, there are also scholars conducting an in-depth analysis of the practical significance of patent citation networks based on the characteristics of topological networks. Some of them focus on studying the network characteristics [21] of patent citation networks such as small-world and scale-free. Some scholars have studied the technology trajectory of a specific industry in combination with the characteristics of the patent citation network [22].…”

Section: Literature Reviewmentioning

confidence: 99%

“…At this stage, most scholars have seen the impact of patent-related attribute characteristics on patent citation [24]. With the deepening of the research on patent citation relationship especially by social network analysis method, some scholars have found that some local or overall structural features of the patent citation network itself or others will have an impact on the citation relationship [21]. At the same time with the research on the influencing factors of patent citation, there is also a heated discussion on the research methods.…”

Section: Literature Reviewmentioning

confidence: 99%

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Research on Evolution Characteristics and Factors of Nordic Green Patent Citation Network

Wang

Deng

2022

Sustainability

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Dealing with the environmental and climate risks caused by global warming has become a global consensus. As a sensitive area with particularly fragile ecological environment, the Nordic countries took the lead in making the commitment of “carbon neutrality” by the middle of this century. The green industry will play an important role during this process. Based on the patent data related to the green industry in Nordic countries, this paper studies the evolution characteristics and dynamic changes of influencing factors of patent citation network from 1980 to 2019 by using the social network analysis method and exponential random graph model. The research results show that: Nordic green technologies have gradually changed from passive development to active innovation from the source, and gradually diversified and subdivided in the development process; the connectivity and transitivity of the patent citation network are good and relatively stable in the evolution process; the connections of Nordic countries with non-Nordic countries are strong and gradually spread to distant regions; the awareness of patent property rights protection has gradually increased, and industry and academia are increasingly integrated, which all promote the formation of patent citation relationship.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Research on Evolution Characteristics and Factors of Nordic Green Patent Citation Network

Wang

Deng

2022

Sustainability

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“…One representative example is patent data produced by the USPTO, and particularly, the current organization of patent data in terms of IPC sections which provides the tools to address central questions of network analysis such as those derived in the study of different technological domains [ 21 ]. Many studies investigate technological and innovation activities by referring to links between nodes and the resulting networks [e.g., 17 , 41 – 43 ]. However, the metrics identified (at both node and network level) are mostly discussed from an economic perspective in only one field of technology or one geographic region.…”

Section: Literature Review and Hypothesesmentioning

confidence: 99%

Exploring the topology and dynamic growth properties of co-invention networks and technology fields

2021

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This study investigates the topology and dynamics of collaboration networks that exist between inventors and their patent co-authors for patents granted by the USPTO from 2007–2019 (2,241,201 patents and 1,879,037 inventors). We study changes in the configurations of different technology fields via the power-law, small-world, preferential attachment, shrinking diameter, densification law, and gelling point hypotheses. Similar to the existing literature, we obtain mixed results. Based on network statistics, we argue that the sudden rise of large networks in six technology sectors can be understood as a phase transition in which small, isolated networks form one giant component. In two other technology sectors, such a transition occurred much later and much less dramatically. The examination of inventor networks over time reveals the increased complexity of all technology sectors, regardless of the individual characteristics of the network. Therefore, we introduce ideas associated with the technological diversification of inventors to complement our analysis, and we find evidence that inventors tend to diversify into new fields that are less mature. This behavior appears to be correlated with the compliance of some of the expected network rules and has implications for the emerging patterns among the different collaboration networks under consideration here.

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“…The general process of the econometric model method is: firstly, several factors related to patent value are selected, and then the coefficients of each factor are determined by qualitative or quantitative methods, and finally the econometric model is formed. Rong Chao [7] and Chai [8] used Logistic regression model to regression the factors related to patent value and determine the coefficients of each factor. Fischer et al [9] applied cox regression method to patent valuation; Lee et al [10] established a negative binomial regression model for analysis.…”

Section: Introductionmentioning

confidence: 99%

Research on Patent Valuation Based on Social Network Analysis Method

You¹,

Zhang²,

Yu³

2022

Atlantis Highlights in Computer Sciences

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In the era of rapid updating of patent technology, it is increasingly important to identify the value of patent. Through the study and selection of the previous patent valuation literature, this paper adopts the social network analysis method to select the patent valuation index, and uses Poisson regression method to analyze the impact of patent valuation index on patent value and determine the patent valuation model. The results show that the results of patent value obtained by the model in this paper are basically consistent with those obtained by Bateng patent database, indicating that the patent value evaluation model obtained by social network analysis method and Poisson regression in this paper can evaluate the value of invention patents more conveniently and accurately.

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Determinants of highly-cited green patents: The perspective of network characteristics

Cited by 9 publications

References 36 publications

Research on Evolution Characteristics and Factors of Nordic Green Patent Citation Network

Research on Evolution Characteristics and Factors of Nordic Green Patent Citation Network

Exploring the topology and dynamic growth properties of co-invention networks and technology fields

Research on Patent Valuation Based on Social Network Analysis Method

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