| By: |
Marco Cucculelli (Universita' Politecnica delle Marche, Dipartimento di Scienze economiche e sociali);
Noemi Giampaoli (Polytechnic University of Marche, Department of Economics and Social Sciences,);
Matteo Renghini (LUISS "Guido Carli" University, Department of Economics and Finance) |
| Abstract: |
Assessing the presence and distribution of strategic and net-zero technologies
in companies is crucial for European competitiveness. However, due to the
complexity and evolving nature of these technology areas, this is a
challenging task. This paper presents a process for identifying and mapping
strategic and net-zero technologies (as described in the Strategic
Technologies for Europe Platform (STEP) and the Net-Zero Industry Act (NZIA))
in European companies. STEP and NZIA technologies are identified using text
mining techniques based on the titles and abstracts of patents filed with the
EPO and retrieved in PATSTAT for the years 2002 to 2022. The paper describes
the classification process of STEP and NZIA technologies based on IPC codes of
file patents. The IPC codes were then matched with the patent portfolio of
almost 100, 000 European companies to determine the company's technological
profile and the distribution of these technologies by sector, geographic area,
and company characteristics in the European panorama. |
| Keywords: |
PATSTAT, Orbis, Patents, Text mining, Innovation, STEP, NZIA, Unconventional data |
| Date: |
2024–10 |
| URL: |
https://d.repec.org/n?u=RePEc:anc:wmofir:188 |