This research aims to analyse the specialization and geographical patterns of green innovation in Italy. The study utilises patent application data from 2019 to map green-related technologies by integrating three different approaches to identify green patents using their code classification: the IPC Green Inventory, the ENV-TECH and the Y02/Y04S Tagging scheme. Data is aggregated at the Local Labour Systems level and includes mapping green innovations along the urban gradient and examining spatial dependence using measures of global and local spatial autocorrelation. Results emphasize significant disparities in regional green innovation within Italy, in terms of the “North-South” divide and “urban non-urban” gradient.
The Geography of Green Innovation in Italy
Adriana Carolina Pinate
;Martina Dal Molin;Maria Giovanna Brandano
2024-01-01
Abstract
This research aims to analyse the specialization and geographical patterns of green innovation in Italy. The study utilises patent application data from 2019 to map green-related technologies by integrating three different approaches to identify green patents using their code classification: the IPC Green Inventory, the ENV-TECH and the Y02/Y04S Tagging scheme. Data is aggregated at the Local Labour Systems level and includes mapping green innovations along the urban gradient and examining spatial dependence using measures of global and local spatial autocorrelation. Results emphasize significant disparities in regional green innovation within Italy, in terms of the “North-South” divide and “urban non-urban” gradient.| File | Dimensione | Formato | |
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2024_BookChapter_Pinate.pdf
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