| Area: 32110 km2 | |
| Population: 7679192 | |
| GDP at current prices (M EUR): 229417.94 | |
| GDP per capita at current prices (EUR): 31700 | |
| % of National GDP: No information available. | |
| % of Unemployment: 9.7% | |
| Regional GERD (%): 1.51 % |
| Name of strategy | Strategy for Smart Specialisation of Catalonia 2030 |
| Type of strategy | Regional |
| Languages | ES |
| Strategy approved | Yes |
| Name | Position | Contact |
|---|---|---|
| Juan Luis Aparicio Romero | Generalitat de Catalunya | aee@gencat.cat |
Support on the engagement of clusters in Shared Agendas
The Targeted Assignment for Catalonia focuses on enhancing the involvement of clusters in the RIS3CAT strategy, which aims to drive green and just transitions through transformative innovation. The strategy promotes the concept of Shared Agendas, which foster collaborative approaches to addressing complex societal and territorial challenges by bringing together stakeholders from various sectors.
This assignment will develop strategies to boost cluster participation in these Shared Agendas. Key objectives include analyzing the benefits of cluster involvement, providing tools and recommendations for engagement, and sharing insights from a case study focused on the Catalan forest and wood sector. The final deliverable will provide Catalonia with practical recommendations and best practices to strengthen cluster participation in Shared Agendas, furthering the broader goals of the RIS3CAT strategy and advancing the region’s innovation objectives.
| Aerospace & Defence ➝ | ||
| Agri-food ➝ | ||
| Construction ➝ | ||
| Creative & Cultural Industries ➝ | ||
| Digital ➝ | ||
| Electronics ➝ | ||
| Energy/Renewable Energy ➝ | ||
| Energy Intensive Industries ➝ |
| Healthcare ➝ | ||
| Mobility, Transport & Automotive ➝ | ||
| Proximity Economy ➝ | ||
| Retail ➝ | ||
| Social Economy ➝ | ||
| Textiles ➝ | ||
| Tourism ➝ |
These keywords, identified using AI and manually verified, highlight the key elements of each strategic priority as reflected in individual strategies.
These keywords, identified and associated through semantic AI algorithms and manually reviewed, support the search function by identifying topics related to each strategic priority. While a priority may not explicitly focus on these keywords, they provide meaningful connections. For exxample, agricultural terms might relate to circular economy priorities, such as biofuels or agricultural waste valorisation. Semantically associated keywords enable users to find regions with similar or related priorities, offering a starting point for deeper exploration of each specific strategy.
| Priority | Descriptive keywords | Semantic keywords |
|---|---|---|
| Sustainable, fair, equitable and healthy food system | : | undefined |
| Emission-neutral and environmentally friendly energy and resource system | : | undefined |
| Sustainable mobility and logistics system | : | undefined |
| Universal, sustainable and resilient social and health system | : | undefined |
| Reflective, anticipatory, inclusive and responsive educational and knowledge generation system | : | undefined |
| Sustainable and competitive industrial system | : | undefined |
| A cultural system that integrates people, territory and history | : | undefined |
| Economic classification (NACE section & division) | Scientific classification (NABS digit 1 & 2) | |
|---|---|---|
| Sustainable, fair, equitable and healthy food system |
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| Emission-neutral and environmentally friendly energy and resource system |
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| Sustainable mobility and logistics system |
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| Universal, sustainable and resilient social and health system |
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| Reflective, anticipatory, inclusive and responsive educational and knowledge generation system |
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| Sustainable and competitive industrial system |
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| A cultural system that integrates people, territory and history |
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| Document type | Link |
|---|---|
| Webpage | Kohesio: Region/Member State |
| Webpage | Link to ERDF programmes database |
No information available.
No information available.
No information available.