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; 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
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
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.
Cycling booms in many Dutch cities. While smart cycling innovations promise to increase cycling’s modal share in the (peri-)urban transport system even further, little is understood of their impact or cost and benefit. The “Smart Cycling Futures (SCF)” program investigates how smart cycling innovations ─ including ICT-enabled cycling innovations, infrastructures, and social innovations like new business models ─ contribute to more resilient and liveable Dutch urban regions. Cycling innovations benefit urban regions in terms of accessibility, equality, health, liveability, and decreasing CO2-emissions when socially well embedded. To facilitate a transition to a sustainable future that respond to pressing issues, the SCF research project runs urban living labs in close collaboration with key stakeholders to develop transdisciplinary insights in the conditions needed for upscaling smart-cycling initiatives. Each living lab involving real-world experiments responds to the urgent challenges that urban regions and their stakeholders face today. The proposed research sub-programs focus on institutional dynamics, entrepreneurial strategies, governance and the socio-spatial conditions for smart cycling. Going beyond analysis, we also assess the economic, social, and spatial impacts of cycling on urban regions. The research program brings together four Dutch regions through academic institutions (three general and one applied-science universities); governmental authorities (urban and regional); and market players (innovative entrepreneurs). Together, they answer practice-based questions in a transdisciplinary and problem-oriented fashion. Research in the four regions generates both region-specific and universally applicable findings. Finally, SCF uses its strong research-practice network around cycling to co-create the research and run an outreach program.
The project ‘Towards resilient leisure, tourism and hospitality (LTH) ecosystems in Europe’ addresses the critical problem of unsustainable practices in the tourism and travel industry. The LTH industry is ‘back on track’ after recovering from the global Covid-19 crisis. Destinations show increased numbers of international arrivals and rapid growth of tourism-related revenues. It is foreseen that cities like Amsterdam, but also vulnerable natural areas, will receive record numbers of visitors in the coming decade. The dominant economic model operating within the industry nonetheless prioritizes short-term gains, resulting in extreme exploitation of resources, labour, and local communities, evidenced by negative impacts in European destinations like Venice and the Canary Islands. The project aims to shift the industry’s focus to long-term sustainability, addressing systemic constraints and facilitating a transition that aligns with European priorities for a sustainable and just future. It builds vital connections between regional, national, and European research priorities by addressing and advocating for climate and social justice. Regionally, it investigates best practices across diverse tourism environments in Finland, Spain, Sweden, the UK, Scotland, and The Netherlands. Nationally, it challenges the status quo by proposing alternative governance frameworks that individual countries could adopt to encourage sustainable tourism practices. On a European scale, the project aligns with EU goals of climate action and sustainable development, supporting objectives of the European Green Deal and the United Nations Sustainable Development Goals (SDGs). It aims to build solid theoretical foundations necessary for a transition towards more resilient and environmentally and socially inclusive LTH ecosystems. Through integrating insights from multiple regions, the project transcends local boundaries and offers scalable solutions that can influence policy and industry standards at both national and European levels. The project's transdisciplinary nature ensures that proposed solutions are grounded in diverse eco-socioeconomic contexts, making them robust and adaptable.
