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.
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The in-depth assessment of the situation of the European textile and clothing sector is composed by six independent reports with a close focus on key aspects useful to understand the dynamics and the development of the textile and clothing industry, drivers of change – most notably the impact of the financial crisis – and identification of policy responses and best practices. This has been done in six specific tasks leading to the six reports: Task 1 Survey on the situation of the EU textile and clothing sector Task 2 Report on research and development Task 3 Report on SME situation Task 4 Report on restructuring Task 5 Report on training and Education Task 6 Report on innovation practices Task 6 focused on understanding how European textile & clothing companies are engaged into innovation practices. Hence key questions regard what is critical to transform knowledge and Research and Development (R&D) into good selling marketable products and which are the driving forces and relationships towards a better competitive performance through innovation. The analysis was carried out and the trends were then verified in selected regional cases: Lombardia Piemonte, Baden Württemberg, North Portugal and Galicia, Slovenia and Romania.
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Background: Cardiovascular risk factors are associated with physical fitness and, to a lesser extent, physical activity. Lifestyle interventions directed at enhancing physical fitness in order to decrease the risk of cardiovascular diseases should be extended. To enable the development of effective lifestyle interventions for people with cardiovascular risk factors, we investigated motivational, social-cognitive determinants derived from the Theory of Planned Behavior (TPB) and other relevant social psychological theories, next to physical activity and physical fitness. Methods: In the cross-sectional Utrecht Police Lifestyle Intervention Fitness and Training (UP-LIFT) study, 1298 employees (aged 18 to 62) were asked to complete online questionnaires regarding social-cognitive variables and physical activity. Cardiovascular risk factors and physical fitness (peak VO2) were measured. Results: For people with one or more cardiovascular risk factors (78.7% of the total population), social-cognitive variables accounted for 39% (p < .001) of the variance in the intention to engage in physical activity for 60 minutes every day. Important correlates of intention to engage in physical activity were attitude (beta = .225, p < .001), self-efficacy (beta = .271, p < .001), descriptive norm (beta = .172, p < .001) and barriers (beta = -.169, p < .01). Social-cognitive variables accounted for 52% (p < .001) of the variance in physical active behaviour (being physical active for 60 minutes every day). The intention to engage in physical activity (beta = .469, p < .001) and self-efficacy (beta = .243, p < .001) were, in turn, important correlates of physical active behavior. In addition to the prediction of intention to engage in physical activity and physical active behavior, we explored the impact of the intensity of physical activity. The intentsity of physical activity was only significantly related to physical active behavior (beta = .253, p < .01, R2 = .06, p < .001). An important goal of our study was to investigate the relationship between physical fitness, the intensity of physical activity and social-cognitive variables. Physical fitness (R2 = .23, p < .001) was positively associated with physical active behavior (beta = .180, p < .01), self-efficacy (beta = .180, p < .01) and the intensity of physical activity (beta = .238, p < .01). For people with one or more cardiovascular risk factors, 39.9% had positive intentions to engage in physical activity and were also physically active, and 10.5% had a low intentions but were physically active. 37.7% had low intentions and were physically inactive, and about 11.9% had high intentions but were physically inactive. Conclusions: This study contributes to our ability to optimize cardiovascular risk profiles by demonstrating an important association between physical fitness and social-cognitive variables. Physical fitness can be predicted by physical active behavior as well as by self-efficacy and the intensity of physical activity, and the latter by physical active behavior. Physical active behavior can be predicted by intention, self-efficacy, descriptive norms and barriers. Intention to engage in physical activity by attitude, self-efficacy, descriptive norms and barriers. An important input for lifestyle
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In the Netherlands the business community is pretty active in the biobased economy because it offers plenty of economic opportunities. Innovation and chain development are stimulated towards the development of the bi-obased economy, bioenergy and to biobased materials. The Netherlands is strongly investing on improving inno-vative business and development, developing business cases and removing obstacles of non-technical origin. Importantly, the Dutch business community have recognised that many activities will depend on biomass imports as domestic production is mostly limited. In the Netherlands there is a large demand for biobased biomass, and it is estimated that in the year 2030 about 60-70% of the required biomass will have to be imported. The Dutch Platform Biobased Raw Materials has emphasised the importance of the imports of biomass, and has focused on developing guidelines for transition paths, where international cooperation with biomass-producing countries is essential. The Netherlands has identified Spain as an important provider of biomass resources (19 million ktoe), Spain holds the third position in European ranking of biomass potential. The autonomous community Galicia is the most important forest region in Spain, where the agroforestry sector has been considered as an alternative to yield economic benefits as well as to bring ecological advantages. However, the potential of Galicia as a pro-ducer and supplier of (waste flow) biomass is underdeveloped and underutilised. There is a need for a better un-derstanding of the potential business models that Dutch companies and Spanish stakeholders can apply to devel-op a biobased value chains that lead to the triple bottom line of People, Planet and Profit. To realise this goal, our project focuses on identifying the linkages between the Galicia agroforestry sector and the Dutch biobased industries, and explore the potential business opportunities towards the strengthening of both the local and the Dutch biobased markets. To achieve the latter we centred on the following questions: I. What are the potential new business models that can be applied for a profitable and sustainable biobased chain from the waste flows of the agroforestry sector of Galicia for a steady production and supply to the local and the Dutch markets, leading to a sustainable transition path? II. What are the institutional frameworks required to develop new and profitable biobased value chains within the agroforestry sector in Galicia?
