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

Liu, J., Grubler, A. ORCID: https://orcid.org/0000-0002-7814-4990, Ma, T., & Kogler, D.F. (2021). Identifying the technological knowledge depreciation rate using patent citation data: a case study of the solar photovoltaic industry. Scientometrics 126 (1) 93-115. 10.1007/s11192-020-03740-x.

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Abstract

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.

Item Type:	Article
Research Programs:	Energy, Climate, and Environment (ECE) Energy, Climate, and Environment (ECE) > Sustainable Service Systems (S3) Energy, Climate, and Environment (ECE) > Transformative Institutional and Social Solutions (TISS) Young Scientists Summer Program (YSSP)
Depositing User:	Luke Kirwan
Date Deposited:	21 Mar 2022 14:11
Last Modified:	09 Oct 2024 09:30
URI:	https://pure.iiasa.ac.at/17891

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