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

Kuang-Cheng Chai | Zendy; Yang Yang | Zendy; Zhiyong Sui | Zendy; KeChiun Chang | Zendy

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

Author(s) -

Kuang-Cheng Chai,

Yang Yang,

Zhiyong Sui,

KeChiun Chang

Publication year - 2020

Publication title -

plos one

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.99

H-Index - 332

ISSN - 1932-6203

DOI - 10.1371/journal.pone.0240679

Subject(s) - centrality , value (mathematics) , green laser , business , perspective (graphical) , order (exchange) , value creation , industrial organization , network analysis , computer science , mathematics , statistics , engineering , physics , artificial intelligence , laser , finance , optics , electrical engineering

With the rise of green technology, green patent value evaluation has become critical for enterprises. In order to explore the influencing factors of green patent value, this study takes the light-emitting diode (LED) industry as an example and then utilizes highly-cited green patents as the proxy of green patent value. The study aims to explore the influencing factors of green patent value with network position and structure from the perspective of network characteristics. The results indicate that out-degree centrality and network constraint have a significantly positive effect on green patent value.

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