详细信息

Identifying the technological knowledge depreciation rate using patent citation data: a case study of the solar photovoltaic industry  ( SCI-EXPANDED收录)  

文献类型:期刊文献

英文题名:Identifying the technological knowledge depreciation rate using patent citation data: a case study of the solar photovoltaic industry

作者:Liu, Jie[1];Grubler, Arnulf[2];Ma, Tieju[1,2];Kogler, Dieter F.[3]

机构:[1]East China Univ Sci & Technol, Sch Business, Meilong Rd 130, Shanghai 200237, Peoples R China;[2]Int Inst Appl Syst Anal, Transit New Technol Program, Schlosspl 1, A-2361 Laxenburg, Austria;[3]Univ Coll Dublin, Spatial Dynam Lab, Richview Campus, Dublin D04 V1W8 4, Ireland

年份:2021

卷号:126

期号:1

起止页码:93

外文期刊名:SCIENTOMETRICS

收录:;WOS:【SSCI(收录号:WOS:000579442800002),SCI-EXPANDED(收录号:WOS:000579442800002)】;

基金:We are grateful to the two anonymous referees for comments and suggestions. This research was sponsored by the National Nature Science Foundation of China (Nos. 71571069 and 71811540350). The paper was developed based on the work in the Young Scientists Summer Program at the International Institute for Applied Systems Analysis, Laxenburg (Austria). We would like to acknowledge the technical assistance of Dieter F. Kogler (dieter.kogler@ucd.ie) via his TechEvo patent database that has been funded by the European Research Council under the European Union's Horizon 2020 research and innovation programme (grant agreement No 715631, TechEvo) and by the Science Foundation Ireland (SFI) under the SFI Science Policy Research Programme (grant agreement No. 17/SPR/5324, SciTechSpace).

语种:英文

外文关键词:Knowledge depreciation; Patent citation; Solar PV

摘要:Technological knowledge can be created via R&D investments, but it can also be eroded through depreciation. Knowing how fast knowledge depreciates is important for various reasons for practitioners and decision makers alike; especially if it comes to questions regarding how to "recharge" knowledge production processes within an ever changing global system. In this study, we use patent citation data to identify technological knowledge depreciation rates by adjusting for exogenous citation inflation and by disentangling the preferential-attachment dynamics of citation growth. Solar photovoltaic (PV) technology is employed as a case study. The rates calculated with our method are comparable to the few available estimates on technology depreciation rates in the PV industry. One of the advantages of the proposed method is that its underlying data are more readily available, and thus more replicable for the study of the knowledge depreciation rates in other relevant technology fields.

参考文献:

正在载入数据...

版权所有©华东理工大学 重庆维普资讯有限公司 渝B2-20050021-7 
渝公网安备 50019002500408号 违法和不良信息举报中心