Details
| Original language | English |
|---|---|
| Pages (from-to) | 41-61 |
| Number of pages | 21 |
| Journal | Innovation and Development |
| Volume | 15 |
| Issue number | 1 |
| Early online date | 7 Jul 2023 |
| Publication status | Published - 2025 |
Abstract
In the transition to more sustainable regional economies, the widespread adoption of green technologies is crucial. However, little is known about the geography of green technology adoption and the relationship between regional demand and supply of green technologies. In this paper, we shed light on the (regional) factors explaining whether innovation adopters use green technologies that have been developed locally or green technologies that have been developed in other places. We analyze a unique data set of 8825 licensing agreements for Chinese patents in green technologies, which we use as an indicator to measure innovation diffusion. Our results suggest that the regional context plays a key role in predicting whether innovation adopters use local or non-local green technologies. We show, among other things, that the use of locally developed green technologies is more likely in regions characterized by green technology specializations and high innovation capacity than in less innovative regions.
Keywords
- China, environmental innovation, green technology, Innovation diffusion, patent licensing
ASJC Scopus subject areas
- Social Sciences(all)
- Geography, Planning and Development
- Social Sciences(all)
- Cultural Studies
- Social Sciences(all)
- Education
- Social Sciences(all)
- Development
- Social Sciences(all)
- Sociology and Political Science
- Social Sciences(all)
- Political Science and International Relations
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In: Innovation and Development, Vol. 15, No. 1, 2025, p. 41-61.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - A spatial perspective on green technology adoption in China
T2 - insights from patent licensing data
AU - Losacker, Sebastian
AU - Horbach, Jens
AU - Liefner, Ingo
N1 - Publisher Copyright: © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
PY - 2025
Y1 - 2025
N2 - In the transition to more sustainable regional economies, the widespread adoption of green technologies is crucial. However, little is known about the geography of green technology adoption and the relationship between regional demand and supply of green technologies. In this paper, we shed light on the (regional) factors explaining whether innovation adopters use green technologies that have been developed locally or green technologies that have been developed in other places. We analyze a unique data set of 8825 licensing agreements for Chinese patents in green technologies, which we use as an indicator to measure innovation diffusion. Our results suggest that the regional context plays a key role in predicting whether innovation adopters use local or non-local green technologies. We show, among other things, that the use of locally developed green technologies is more likely in regions characterized by green technology specializations and high innovation capacity than in less innovative regions.
AB - In the transition to more sustainable regional economies, the widespread adoption of green technologies is crucial. However, little is known about the geography of green technology adoption and the relationship between regional demand and supply of green technologies. In this paper, we shed light on the (regional) factors explaining whether innovation adopters use green technologies that have been developed locally or green technologies that have been developed in other places. We analyze a unique data set of 8825 licensing agreements for Chinese patents in green technologies, which we use as an indicator to measure innovation diffusion. Our results suggest that the regional context plays a key role in predicting whether innovation adopters use local or non-local green technologies. We show, among other things, that the use of locally developed green technologies is more likely in regions characterized by green technology specializations and high innovation capacity than in less innovative regions.
KW - China
KW - environmental innovation
KW - green technology
KW - Innovation diffusion
KW - patent licensing
UR - http://www.scopus.com/inward/record.url?scp=105001307264&partnerID=8YFLogxK
U2 - 10.1080/2157930X.2023.2233199
DO - 10.1080/2157930X.2023.2233199
M3 - Article
VL - 15
SP - 41
EP - 61
JO - Innovation and Development
JF - Innovation and Development
SN - 2157-930X
IS - 1
ER -