Details
| Original language | English |
|---|---|
| Pages (from-to) | 531-555 |
| Number of pages | 25 |
| Journal | Industry and innovation |
| Volume | 30 |
| Issue number | 5 |
| Early online date | 1 May 2022 |
| Publication status | Published - 2023 |
Abstract
A fast adoption and diffusion of green technologies will be essential for a successful transition of the world’s economies towards more sustainable modes of production and consumption. This article investigates the speed of green technology diffusion in China using a unique data set, which lists geocoded patent licence agreements for green technologies from 2000–2019. We focus on the relation between spatial determinants, including geographic proximity and regional technological specialisation, and the time-to-adoption, thus analysing the factors explaining the time between technology development (patent application) and technology adoption (licencing). The main finding is that geographic proximity to the innovator is associated with an accelerated time-to-adoption. Moreover, we find that the more a region specialises in green technologies, the faster a patent is licenced within that region.
Keywords
- China, environmental innovation, green technology, Innovation diffusion, patent licencing
ASJC Scopus subject areas
- Business, Management and Accounting(all)
- Business, Management and Accounting(all)
- Management of Technology and Innovation
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In: Industry and innovation, Vol. 30, No. 5, 2023, p. 531-555.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Geography and the speed of green technology diffusion
AU - Losacker, Sebastian
AU - Horbach, Jens
AU - Liefner, Ingo
N1 - Funding Information: Previous versions of this article were presented at the 6 NEST Conference in April 2021, at the RSA Regions in Recovery Global e-Festival in June 2021 and at the 12 IST Conference in October 2021. An earlier version of this article received the best paper award at the RSAI-GSSI Workshop on “Regions in-between the green transition and the digital transformation” in June 2021. The authors have benefited greatly from feedback received from the participants of these events, in particular from comments by Hendrik Hansmeier, Claudia Ghisetti and Alberto Marzucchi. Also, we appreciate the reference to the source of licensing data by researchers at the School of Urban & Regional Science, East China Normal University in Shanghai during a research visit in September 2019. Thanks go to Charlotte Lobensteiner and Boshu Li for their excellent research assistance. We acknowledge financial support by the German Research Foundation (DFG). th th
PY - 2023
Y1 - 2023
N2 - A fast adoption and diffusion of green technologies will be essential for a successful transition of the world’s economies towards more sustainable modes of production and consumption. This article investigates the speed of green technology diffusion in China using a unique data set, which lists geocoded patent licence agreements for green technologies from 2000–2019. We focus on the relation between spatial determinants, including geographic proximity and regional technological specialisation, and the time-to-adoption, thus analysing the factors explaining the time between technology development (patent application) and technology adoption (licencing). The main finding is that geographic proximity to the innovator is associated with an accelerated time-to-adoption. Moreover, we find that the more a region specialises in green technologies, the faster a patent is licenced within that region.
AB - A fast adoption and diffusion of green technologies will be essential for a successful transition of the world’s economies towards more sustainable modes of production and consumption. This article investigates the speed of green technology diffusion in China using a unique data set, which lists geocoded patent licence agreements for green technologies from 2000–2019. We focus on the relation between spatial determinants, including geographic proximity and regional technological specialisation, and the time-to-adoption, thus analysing the factors explaining the time between technology development (patent application) and technology adoption (licencing). The main finding is that geographic proximity to the innovator is associated with an accelerated time-to-adoption. Moreover, we find that the more a region specialises in green technologies, the faster a patent is licenced within that region.
KW - China
KW - environmental innovation
KW - green technology
KW - Innovation diffusion
KW - patent licencing
UR - http://www.scopus.com/inward/record.url?scp=85132659651&partnerID=8YFLogxK
U2 - 10.1080/13662716.2022.2071237
DO - 10.1080/13662716.2022.2071237
M3 - Article
AN - SCOPUS:85132659651
VL - 30
SP - 531
EP - 555
JO - Industry and innovation
JF - Industry and innovation
SN - 1366-2716
IS - 5
ER -