| Area: 5687 km2 | |
| Population: 340243 | |
| GDP at current prices (M EUR): 11707 | |
| GDP per capita at current prices (EUR): 37000 | |
| % of National GDP: No information available. | |
| % of Unemployment: 4.6 % | |
| Regional GERD (%): : |
| Name of strategy | Smart specialisation Halland |
| Type of strategy | Regional |
| Languages | SE |
| Strategy approved | Yes |
| Name | Position | Contact |
|---|---|---|
| No information available. | No information available. | No information available. |
No information available.
| 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 |
|---|---|---|
| R&D for the care and health of the future | AI, healthcare, self-care platforms, patient data, decision support | health, health research and innovation, medical innovation, digital health, health informatics |
| R&D for sustainable communities | infrastructure, eco-friendly, urban planning, renewable energy, carbon footprint | community and society, community engagement |
| FoodTech | innovation, sustainability, agriculture, digitalization, production | agrifood, food systems, food supply chain, food safety, food safety technology, food quality enhancement, nutrition & health, functional food, nutraceutical food |
| Durable materials | recycling, circular economy, wood-based, eco-design, carbon-neutral | advanced manufacturing and materials, advanced manufacturing, additive manufacturing, advanced materials, advanced materials tool, circular economy, circular industry model, circular material |
| R&D for intelligent systems | IoT, AI, automation, smart cities, embedded systems | digital transformation, computing and data management, artificial intelligence (ai), data science, data and technology solutions, decision support system, vehicle robotics, intelligent systems and automation, intelligent manufacturing, smart energy system, smart home, home automation system, automation and digital transformation, industrial automation |
| Innovative business development | entrepreneurship, digitalization, export, collaboration, growth | horizontal priority |
| Economic classification (NACE section & division) | Scientific classification (NABS digit 1 & 2) | |
|---|---|---|
| R&D for the care and health of the future |
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| R&D for sustainable communities |
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| FoodTech |
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| Durable materials |
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| R&D for intelligent systems |
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| Innovative business development |
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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.