Open AccessDeterminants of highly-cited green patents: The perspective of network characteristics
Author(s) -
Kuang-Cheng Chai,
Yang Yang,
Zhiyong Sui,
Ke-Chiun 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) , industrial organization , value creation , position (finance) , network analysis , constraint (computer aided design) , computer science , mathematics , statistics , physics , artificial intelligence , geometry , quantum mechanics , laser , finance , optics
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.