As the first order of business in the RIGHT project, each region produced and published its own regional report, using an underlying format developed in work package 3 in this project (Manickam & van Lieshout, 2018). The format and the regional work consisted of three parts. Part 1 is the Regional Innovation Ecosystems (RIE) mapping to provide a qualitative understanding of the region’s innovation ecosystem with regards to its Smart Specialisation Strategies (S3). This part is divided into a socio-economic and R&D profile mapping and a SWOT analysis. The RIE is an adaptation of a methodology and tool used by the eDIGIREGION Project. This part is to be filled in by desk research and consulting regional experts (through interviews and/or focus groups). This part is used for mapping the own regional ecosystems, information for the partners to get to know the other regions and to be able to identify relevant similarities and differences across the regions, which in turn, will be reported in part 1 of this trans-regional report. Regions themselves chose their own sector focus. One could focus on either energy of the blue sector, or both. Part 2 focuses on the innovation capacity and needs of SMEs from the chosen sector(s). The questions are adapted from a systemic study on cluster developments, in which an analysis model was developed (Manickam, 2018). It is based on (on average) six face-to-face interviews with SMEs from the sector. The outputs of these interviews were summarised into one template, in English, by each partner region to allow for joint analysis and comparison that is in turn reported in part 2 of this report Part 3 introduced the Job Forecasting and Skills Gaps mapping using the JOES templates as developed by van Lieshout et al. (2017). To gain an appreciation of the extent and nature of skills gap, each region was asked to analyse current and potential future labour demand, workforce, and discrepancies between the two, in up to 2 businesses. For obvious reasons (confidentiality and privacy), the JOEs will not be published separately, nor will their information be used in the report in a way that would be traceable to specific businesses. We will use exemplary information from them for illustrative purposes in Parts 1 and 2 of this report where relevant.
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The Regional Development Effects Module (RDEM) will map the impact of migration on regional development seen on different variables. To construct the RDEM we have to:1. develop a typology of regions, based on the impact that mobility has on its economic, social and cultural development; and2. detect the causal linkages between regional mobility on the one hand and regional development on the other.In our presentation we will focus on the process to determine relevant regional development indicators that will help in the collection and analysis of relevant data for the period 2010-2022 on NUTS 2 and 3 level. Partners in our project will additionally focus on:1. Analysis of regional networks estimated from Facebook2. Building typology regional development3. Longitudinal causal analysis of mobility4. Integration of case studiesFinally, this will result in:• Online atlas of mobility & development typologies• Report Causal Analysis of mobility development
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Regional development has often been described in economic terms, using economic indicators such as growth in GDP or demographic indicators such as net migration or employment. Some researchers argued that regional development should be understood broader, by including for example social indicators and living environment indicators . Recently, researchers have shown that policies directed towards regional development have broadened as well , but are also still evaluated within specific narratives or frameworks that often constitute the goals of the policy, for example the Keynesian framework favours increasing demand and favours the evaluation of policies aimed at exactly this. This self-constituting practice of an amalgam of related policies has also been referred to by Hall as a policy paradigm. Because policies are often evaluated within these policy paradigms it becomes difficult to decontextualise them, disentangle them and compare policies with each other.In this paper we propose to use a different, more quantitative and comparative method. By applying the above mentioned work from Andy Pike on numerous data sources from EUROSTAT and OECD, researchers from the PREMIUM_EU project developed a new framework that is measuring Regional Development (dubbed “R”) using economic, social and living environment indicators.MethodBy regarding this “R” (and individual indicators) as an outcome of public policies on the local, regional, national and international level and by analysing regional development policies on different levels from 2010 and onwards we believe it is possible to understand the impact of these policies in a more evidenced based sense, regardless of the above mentioned different types of narratives or frameworks.We started our research with an analysis from the OECD on the different types of regional development policies and the relations between different levels of government within countries. Based on this and literature research, we developed a framework with relevant topics for regional development policies and different levels of government.Based on the work of Moritz Schütz presented during the ERSA 2024 conference, we developed and employed a webcrawler to automatically download and summarise policies from municipalities, regional and national authorities and analyse the results of this exercise.Findings/resultsThe webcrawling and -mining exercise in combination with the new set of indicators will offer a much broader and more comprehensive view of the use and necessity of regional development policies. The findings will be discussed in dedicated policy labs with policymakers and researchers from the respective regions.Discussion/conclusionsBoth the new set of indicators and the analysis of the policies are not only innovative, but will also be viewed as speculative. Although we believe that a direct causal relationship between policies and the regional development will be hard to uncover, we do believe that this research will move the field of policy analysis forward, because it is more focused on evidence-based indicators and is based on larger sets of policies.
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The focus of this project is on improving the resilience of hospitality Small and Medium Enterprises (SMEs) by enabling them to take advantage of digitalization tools and data analytics in particular. Hospitality SMEs play an important role in their local community but are vulnerable to shifts in demand. Due to a lack of resources (time, finance, and sometimes knowledge), they do not have sufficient access to data analytics tools that are typically available to larger organizations. The purpose of this project is therefore to develop a prototype infrastructure or ecosystem showcasing how Dutch hospitality SMEs can develop their data analytic capability in such a way that they increase their resilience to shifts in demand. The one year exploration period will be used to assess the feasibility of such an infrastructure and will address technological aspects (e.g. kind of technological platform), process aspects (e.g. prerequisites for collaboration such as confidentiality and safety of data), knowledge aspects (e.g. what knowledge of data analytics do SMEs need and through what medium), and organizational aspects (what kind of cooperation form is necessary and how should it be financed).Societal issueIn the Netherlands, hospitality SMEs such as hotels play an important role in local communities, providing employment opportunities, supporting financially or otherwise local social activities and sports teams (Panteia, 2023). Nevertheless, due to their high fixed cost / low variable business model, hospitality SMEs are vulnerable to shifts in consumer demand (Kokkinou, Mitas, et al., 2023; Koninklijke Horeca Nederland, 2023). This risk could be partially mitigated by using data analytics, to gain visibility over demand, and make data-driven decisions regarding allocation of marketing resources, pricing, procurement, etc…. However, this requires investments in technology, processes, and training that are oftentimes (financially) inaccessible to these small SMEs.Benefit for societyThe proposed study touches upon several key enabling technologies First, key enabling technology participation and co-creation lies at the center of this proposal. The premise is that regional hospitality SMEs can achieve more by combining their knowledge and resources. The proposed project therefore aims to give diverse stakeholders the means and opportunity to collaborate, learn from each other, and work together on a prototype collaboration. The proposed study thereby also contributes to developing knowledge with and for entrepreneurs and to digitalization of the tourism and hospitality sector.Collaborative partnersHZ University of Applied Sciences, Hotel Hulst, Hotel/Restaurant de Belgische Loodsensociëteit, Hotel Zilt, DM Hotels, Hotel Charley's, Juyo Analytics, Impuls Zeeland.
Onze huidige voedselvoorziening wordt gekenmerkt door overmatig gebruik van bestrijdingsmiddelen zoals antibiotica, genetische manipulatie, overdadig veel transport, water en andere grondstoffen worden gebruikt en productieprocessen gebaseerd op fossiele brandstoffen. Ook wordt veel landbouwgrond dusdanig uitgeput dat de kwaliteit van de grond en de diversiteit sterk achteruit gaan. Gezonde en duurzaam geproduceerde voeding zou voor iedereen bereikbaar moeten zijn. Bovendien is er veel leegstand in verschillende regio’s, deze leegstand kan door middel van aquacultuur systemen zeer waardevol worden benut. Dit is de aanleiding geweest om te zoeken naar alternatieve mogelijkheden voor duurzame productie van voedsel binnen de agrifoodsector. Geïntegreerde aquacultuur systemen worden verwacht goed toepasbaar te zijn voor duurzame voedingsproductie. Deze systemen verminderen de afhankelijkheid van de huidige voedselvoorziening van chemie, olie en gas. Bovendien stimuleert het de lokale en regionale economie en schept het duurzame werkgelegenheid. De doelstelling is het sluiten van de materiaalstroomketen, het voorkomen van afvalstoffen en het stimuleren van grondstof besparing. De aanpak van dit project is daarom gericht op de transitie naar circulaire materiaalstromen waarbij hoogwaardig hergebruik van de materialen mogelijk is op een manier waarbij waarde wordt toegevoegd. Hierbij worden mogelijkheden verkent in het kader van de biobased economy en nieuwe business- en verdienmodellen van dergelijke geïntegreerde aquaculturen. De onderzoeksvraag voor A2FISH is welke circulaire business- en verdienmodellen er realiseerbaar zijn voor kansrijke geïntegreerde aquacultuursystemen binnen de agrifoodsector. Om die onderzoeksvraag uiteindelijk te kunnen beantwoorden, zijn een aantal deelvragen geformuleerd: • Welke aquacultuursystemen zijn kansrijk toepasbaar binnen de agrifoodsector? • Aan welke technische en economische aspecten moet een aquacultuursysteem voldoen om te komen tot kansrijke business- en verdienmodellen? • Welke soorten planten kunnen worden met waardevolle inhoudsstoffen kunnen worden gekweekt met de aquacultuursystemen? • Welke soorten gangbaar industrieel visvoer kan worden gefabriceerd uit reststromen uit de voedingsmiddelenindustrie en welke invloed heeft dit voer als bemesting op de waterkwaliteit? • Hoe ziet een vervolgtraject voor een geïntegreerd circulair aquacultuursysteem eruit en in hoeverre is dit anders dan voor gangbare alternatieven?
Het project “Aanloopactiviteiten learning communities” is erop gericht om in de projectperiode (2022-2023) in grote lijnen twee met elkaar verweven hoofdactiviteiten uit te voeren, namelijk activiteiten die in de tweede fase zorgen voor daadwerkelijke opschaling én activiteiten die zorgen voor leren en kennisontwikkeling óver leren, werken en innoveren in learning communities. De projectperiode is een voorbereidingsjaar waarin in 6 regio’s gebouwd wordt aan een ecosysteem waarmee de HCA GroenvermogenNL gerealiseerd kan worden. Naast de regionale ontwikkeling zijn er 2 landelijke projecten, het onderhavige rond learning community-ontwikkeling en een project waarin gebouwd wordt aan een kennisplatform.
