Abstract
Regional studies show that regions develop new technologies related to their existing knowledge base. R&D expenditure targeting sectors related to this knowledge base is, therefore, more promising to create innovative output. Using global patent data, we investigate whether path-dependency of innovation in climate-change mitigation and adaptation technologies (CCMTs) holds at the country level and depends on the country's development level. We study 197 countries during 2005–2018 and find that relatedness is a significant determinant of innovation in CCMTs, with stronger effects for developing countries. We construct a two-mode network linking countries to technological classes based on patenting activity to identify each country's existing knowledge and those CCMTs where they are most likely to innovate. This is valuable for decision-making on R&D spending and especially important for developing countries, which face stringent financial and human capital constraints in technology creation and thus require more targeted investments.
| Lingua originale | Inglese |
|---|---|
| pagine (da-a) | N/A-N/A |
| Rivista | Environmental Innovation and Societal Transitions |
| Volume | 55 |
| Numero di pubblicazione | June |
| DOI | |
| Stato di pubblicazione | Pubblicato - 2025 |
OSS delle Nazioni Unite
Questo processo contribuisce al raggiungimento dei seguenti obiettivi di sviluppo sostenibile
-
SDG 13 Lotta contro il cambiamento climatico
All Science Journal Classification (ASJC) codes
- Energia Rinnovabile, Sostenibilità e Ambiente
- Scienze Ambientali (varie)
- Scienze Sociali (varie)
Keywords
- Economic geography
- Green innovation
- Smart specialisation
- Technological relatedness
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