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3The 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; and
2. 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 Facebook
2. Building typology regional development
3. Longitudinal causal analysis of mobility
4. Integration of case studies
Finally, this will result in:
• Online atlas of mobility & development typologies
• Report Causal Analysis of mobility development
DOCUMENT
Within PREMIUM_EU we have co-responsibility for developing the Regional Development Effects Module (RDEM). This module 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; and
2. 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 Facebook
2. Building typology regional development
3. Longitudinal causal analysis of mobility
4. Integration of case studies
Finally, this will result in:
• Online atlas of mobility & development typologies
• Report Causal Analysis of mobility development
DOCUMENT
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.
Method
By 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/results
The 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/conclusions
Both 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.
DOCUMENT
Both connectivity and accessibility are important for regional development. Places and communities need to be connected in order to be part of the wider economy, and people need to have access to places, other communities and labour markets to fully participate in society. In contemporary society, not only physical connectivity and accessibility but also digital connectivity plays an important role in the economic and social potential of regions. The relationship between them is also an important issue. This report discusses and assesses the role of physical and digital connectivity in the socioeconomic development of rural regions. In particular, we discuss issues concerning digital connectivity and rural development in remote rural areas within the North Sea Region.
DOCUMENT
We present an economic impacts model based on direct expenditures for European cycle routes, originally designed in 2009 as part of a study commissioned by the European Parliament. At its request, the study was updated in 2012, including a refined version of our model which takes some limitations of the former model into account. Our main findings are that cycle tourists’ daily spending is comparable to that of other tourists, and that cycle tourism can contribute significantly in particular to rural economies that have not previously enjoyed mainstream tourism development. (European) cycle tourism thus proves to be useful as an (additional) tool for regional rural development. We arrived at a total estimated direct expenditures in Europe of almost €44 billion (€35 billion from day trips and €8.94 billion from overnight trips). We applied the model to the routes of EuroVelo, the European cycle route network which is currently being developed, showing their considerable economic potential of over €7 billion in direct expenditures. Furthermore, cycle tourism has a far lower negative impact on the environment (in terms of carbon dioxide emissions) than other forms of tourism. Cycle tourism is therefore a good example of a low carbon tourism product which could be developed as a major slow travel opportunity across (rural) Europe.
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presentation on the WIREX annual congres of the EU Week of innovative Regions in which we discussed the pilots in the Northern Netherlands
DOCUMENT
http://dx.doi.org/10.14261/postit/EF4989E2-2F5F-4E6B-B91D7CFEBE91755DIn 2015 and 2016, Saxion University of Applied Sciences organized the 2nd and 3rd edition of the Regional Innovation and Entrepreneurship Conference (RIEC).This paper is debating the regional implications of Corporate Social Responsibility in three important global economic regions. After an introduction of the concept of Corporate Social Responsibility, some characteristic of each region is presented. Also some good examples are given. In the conclusion it is emphasized that the application of Corporate Social Responsibility can advance both, the international position of Russian Businesses and the attractiveness for high talented experts.
MULTIFILE
Contemporary economical problems require new innovative solutions. The potential role of higher education (HE) as a change agent for regional sustainable development is investigated. Stakeholders from firms, education and government within an R&D Campus form Innovation Teams and Communities of Practices (CoPs) in the domains of building, moving, powering and maintenance. However how to contribute to a safer, cleaner and attractive living environment? Productive, unproductive factors and future needs are analysed from the perspective of HE to enhance regional sustainable development. Several research and data collection methods converged into five main factors that Innovation Teams and CoPs have to tackle in the next period. The followed method for joint problem analysis guarantees highly involved stakeholders. Paper presented at IS2012 – Is Your Responsibility – Innovation for Sustainability, 27-28 September 2012, Universidade Lusíada, Porto, Portugal. http://www.ulusiada.pt/is2012/
DOCUMENT
presentation on the annual Reframe conference of the initiative of the regional cooperative Westerkwartier to built new and next communities in their regional food chain
DOCUMENT
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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