| Area: 28200 km2 | |
| Population: 2235752 | |
| GDP at current prices (M EUR): 40977.6 | |
| GDP per capita at current prices (EUR): 21500 | |
| % of National GDP: No information available. | |
| % of Unemployment: 5.1% | |
| Regional GERD (%): 1.36 % |
| Name of strategy | Regional Strategy for Smart Specialisation of Lisbon 2021-2027 |
| Type of strategy | Regional |
| Languages | PT |
| Strategy approved | Yes |
| Name | Position | Contact |
|---|---|---|
| Sophie Patrício | CCDRC | ris3centropt@ccdtc.pt |
Support to the regional innovation system by identifying measures to target the less-developed inland territories
The Targeted Assignment of the Centro region in Portugal is focused on addressing urgent challenges related to the uneven diffusion of innovation across its subregions. Certain areas, such as Aveiro, Coimbra, and Leiria, are outperforming others, highlighting the need for targeted interventions. This initiative aims to support the Regional Coordination and Development Committee of Centro (CCDRC) in designing a mix of strategies to strengthen the innovation ecosystem in less developed inland territories. The key objectives include analyzing territorial challenges and strengths, evaluating current initiatives, and identifying best practices from other EU regions. The final deliverable will be a comprehensive report with recommendations for a tailored set of measures to foster innovation and bridge existing disparities, contributing to sustainable growth in the region.
| 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 |
|---|---|---|
| Natural Resources and Bioeconomy | : | undefined |
| Materials, Tooling, and Production Technologies | : | undefined |
| Digital Technologies and Space | : | undefined |
| Energy and Climate | : | undefined |
| Health and Well-being | : | undefined |
| Culture, Creativity, and Tourism | : | undefined |
| Economic classification (NACE section & division) | Scientific classification (NABS digit 1 & 2) | |
|---|---|---|
| Natural Resources and Bioeconomy |
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| Materials, Tooling, and Production Technologies |
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| Digital Technologies and Space |
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| Energy and Climate |
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| Health and Well-being |
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| Culture, Creativity, and Tourism |
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| Document type | Link |
|---|---|
| Webpage | No information available. |
| Webpage | No information available. |
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No information available.