In this article, we calculate the economic impact of pilgrimage to Santiago de Compostela in the NUTS 2 region Galicia (Spain) in 2010. This economic impact is relevant to policymakers and other stakeholders dealing with religious tourism in Galicia. The analysis is based on the Input-Output model. Location Quotient formulas are used to derive the regional Input-Output table from the national Input-Output table of Spain. Both the Simple Location Quotient formula and Flegg's Location Quotient formula are applied. Furthermore, a sensitivity analysis is carried out. We found that pilgrimage expenditures in 2010 created between 59.750 million and 99.575 million in Gross Value Added and between 1, 362 and 2, 162 jobs. Most of the impact is generated within the 'Retail and Travel Services' industry, but also the 'Industry and Manufacturing', 'Services' and 'Financial and Real Estate Services' industries benefit from pilgrimage expenditures. This research indicates that in even in the most conservative scenario, the impact of pilgrimage is significant on the local economy of Galicia.
MULTIFILE
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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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
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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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For the Dam tot damloop, a running event with 36,757 participants and 115,000 visitors, both an economic impact analysis (IEA) and a social cost benefit analysis (SCBA) are made to study the (broader) economic effects. Three overlapping geographical regions are studied and two new estimates of non-market goods are used. For the hosting cities the net social gain from the SCBA is at least three times the EIA’s economic impact. The larger the geographical area studied, the larger the differences between EIA and SCBA, because the EIA outcome falls and the SCBA outcome increases. A lower multiplier than 1 lowers the EIA much more than it lowers the SCBA. This study shows that an EIA is not suited for evaluating the welfare effects of public support for a sport event. The difference in outcome between EIA and SCBA is substantial. Valuing non-market effects is done infrequently but is crucial for understanding the welfare effects of policies supporting sport events. Organizing an event for social and city marketing benefits can be a better reason than organizing for the direct economic gains.
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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.
LINK
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.
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Diet related non-communicable diseases (NCDs), as well as micronutrient deficiencies, are of widespread and growing importance to public health. Authorities are developing programs to improve nutrient intakes via foods. To estimate the potential health andeconomic impact of these programs there is a wide variety of models. The aim of this review is to evaluate existing models to estimate the health and/or economic impact of nutrition interventions with a focus on reducing salt and sugar intake andincreasing vitamin D, iron, and folate/folic acid intake. The protocol of this systematic review has been registered with the International Prospective Register of Systematic Reviews (PROSPERO: CRD42016050873). The final search was conducted onPubMed and Scopus electronic databases and search strings were developed for salt/sodium, sugar, vitamin D, iron, and folic acid intake. Predefined criteria related to scientific quality, applicability, and funding/interest were used to evaluate the publications. In total 122 publications were included for a critical appraisal: 45 for salt/sodium, 61 for sugar, 4 for vitamin D, 9 for folic acid, and 3 for iron. The complexity of modelling the health and economic impact of nutrition interventions is dependent on the purpose and data availability. Although most of the models have the potential to provide projections of future impact, the methodological challenges are considerable. There is a substantial need for more guidance and standardization for future modelling, to compare results ofdifferent studies and draw conclusions about the health and economic impact of nutrition interventions.
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In tourism management, traditional input-output models are often applied to calculate economic impacts, including employment impacts. These models imply that increases in output are translated into proportional increases in labour, indicating constant labour productivity. In non-linear input- output (NLIO) models, final demand changes lead to substitution. This causes changes in labour productivity, even though one unit of labour ceteris paribus still produces the same output. Final demand changes can, however, also lead to employees working longer, harder and/or more efficiently. The goal of this article is to include this type of 'real' labour productivity change into an NLIO model. To do this, the authors introduce factor augmenting technical change (FATC) and a differentiation between core and peripheral labour. An NLIO model with and without FATC is used to calculate the regional economic impacts of a 10% final demand increase in tourism in the province of Zeeland in the Netherlands. Accounting for real productivity changes leads to smaller increase in the use of labour, as productivity increases allow output to be produced using fewer inputs.
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De NLsportraad heeft zich gebogen over de maatschappelijke en economische impact van grote sportevenementen. De NLsportraad heeft bezien welke doelen en effecten sportevenementen kunnen hebben en hoe deze het best kunnen worden gemeten. In een reeks van vier essays staat de NLsportraad stil bij de wetenschappelijke stand van zaken over de impact van sportevenementen, in de vorm van bijdragen van experts. In opdracht van de NLsportraad hebben verschillende experts een essay geschreven over (1) de economische impact van sportevenementen, (2) de sociale impact van sportevenementen, (3) de mediawaarde en (4) de maatschappelijke kosten-batenanalyse voor sportevenementen
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