The geography of green technology licensing in China
Bibliographic Data
| ID | 7366419 |
|---|---|
| Authors | Sebastian Losacker (0000-0001-8227-7801, corresponding author) |
| Year | 2020 |
| Volume | 7 |
| Issue | 1 |
| Pages | 387-389 |
| Publication date | 2020-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Regional Studies Regional Science (JOURNAL) |
| Journal identifiers | ISSN: 2168-1376 • E-ISSN: 2168-1376 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/21681376.2020.1809507 |
| OpenAlex | W3082220939 |
| Language | EN |
| Citations received | 4 |
| References cited | 7 |
Heatmap techniques are used to visualize the geography of green technology license agreements in China. The map is based on unique patent and licensing data, linking regional technology development (licensors) to regional technology adoption (licensees), thus allowing the study of diffusion patterns of green technologies. It highlights the fact that most green technology license agreements are concluded within the same region, which is often neglected when studying diffusion processes from a network perspective. Heatmaps allow a better interpretation of network data, in particular for networks with many loops when compared with classical network visualizations
China · Data science · Diffusion · Economic geography · Geography · License · Perspective (graphical · Regional science · Computer Science · Energy, Environment, Economic Growth · Innovation and Knowledge Management · Sustainable Industrial Ecology · Artificial Intelligence
| Unique citing works | 4 |
|---|---|
| Citations per year | 1 |
| Citation span | 2022 - 2025 (4) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 4 |