1,721,086 research outputs found
Regional paths towards Europe 2020 targets: a spatial approach
No full textEurope 2020 is a 10-year EU strategy, promoting smart, sustainable and inclusive growth. Despite ambitious goals, its spatially blinded approach might seriously threaten its success. Actually, large territorial disparities still affect the EU, being the basis for a strong EU-wide cohesion policy and suggesting a general re-framing of sectoral policies on a regional basis. In this respect, the paper tackles the issue of regional disparities in achieving Europe 2020 Strategy targets. As the Strategy involves different targets, principal component analysis is applied to disentangle Europe 2020 domains and to describe major differences in EU-27 NUTS 2 regional performances. In particular, two components are returned: high-employment inclusive growth and smart growth. Territorial patterns of both components are analysed, by jointly considering some geographical features that may affect them. Both a rural and a spatial effect occur: rural and remote regions show poor performances whilst the presence of spatial autocorrelation may actually lock-in negative outcomes. When considering urban rural divides, also within-regions disparities matter. Results strengthen the idea that Europe 2020, as other sectoral policies, should be translated into a regional setting according to a place-based approach: although requiring large efforts, this represents the only way to fully achieve its own targets
Measuring EU Urban-Rural Continuum Through Fuzzy Logic
No full textThis paper aims to provide a multidimensional and continuous indicator of rurality by means of fuzzy logic. A nuanced urban-rural continuum actually occurs in an enlarged Europe. Thus, the introduction of a fuzzy rurality indicator (FRI) can improve conventional urban-rural classifications. FRI takes into account about 1,300 NUTS 3 regions throughout the EU 27. Being a continuous indicator, it highlights those nuances, in a multidimensional perspective: it covers complementary drivers, such as role of agriculture, population density and land use characteristics. The paper also stresses geographical differences among EU Countries and groups of them. In this respect, replacing Eurostat urban-rural typologies, FRI improves both accuracy of further socio-economic analyses and policy evaluations
Misurare le relazioni urbano-rurali: la prospettiva geografica a supporto della politica di sviluppo rurale
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Reconstruction after an Earthquake: Learning from the Past. The Case Study of Emilia-Romagna
No full textThe earthquake that in 2012 hit the Emilian plain - on the border with Veneto and Lombardy - was one of the biggest in the recent history of Italy. In Emilia, the reconstruction was able to reconnect people and places, mobilizing resources that in that territory, in ordinary times, were in fact latent. Moreover, such an extraordinary action was able to orient the system along new trajectories of development, accelerating those very processes of transformation that were already in motion before the occurrence of the 2012 earthquake. Both the case of the biomedical sector in the Mirandola area, which was the closest to the epicentres and the case of the agri-food sector represent leading examples of such a local capacity. Yet, the process of reconstruction in Emilia was also marked by light and shadow: some of the organizational innovations, which have represented the distinctive feature of that experience, could have had an even more disruptive effect on the national scene. The paper highlights the characteristics of these important innovations, also pointing out what potential seems not yet to have been exploited
Expenditure allocation for Rural Development interventions: main trends and patterns in the choices of the Italian Regions under the CAP 2023-2027
No full textThe introduction of the new delivery model in the 2023-2027 Common Agricultural Policy increased the decision-making and management autonomy of Member States and their regions when implementing Rural Development policies. Thus, understanding the drivers behind allocation choices for rural development funds is crucial. This study analyses the allocation of rural development funds across Italian regions, considering ex-ante share allocation for different types of Rural Development interventions. A cluster analysis is then performed. Different groups of Italian regions are characterised using the indicators developed within the common monitoring and evaluation framework, the allocation of spending in the previous programming period, and other variables. Four clusters of Italian regions are identified: cluster 1 includes rural regions with low urbanisation, prioritising supporting interventions in disadvan taged areas and “environmental” ones; cluster 2 shows large allocation for cooperation interventions; cluster 3 includes regions funding primarily agricultural investments; cluster 4 shows no distinct or unique characteristics. This study is the first one address ing expenditure allocation of the 2023-2027 Common Agricultural Policy. It confirms that expenditure patterns partially couple with geographical and historical similarities, although two main spending priorities (i.e. “environment” and “investments”) persist
Territorial hotspots of exposure to climate disaster risk. The case of agri-food geographical indications in the Veneto Region
No full textGeographical indications (GIs) represent a quality label attributed to those agri-food products whose quality reputation is grounded on a given 'terroir' (i.e., its area of production). Climate change can alter terroir features. While several studies already addressed the effects of climate change on wine terroirs, little attention has been paid to agri-food GIs so far. Taking Veneto Region (Italy) as a case study and based on the Disaster Risk Reduction framework, this work aims to highlight the territorial hotspots of agri-food GIs exposure to climate disaster risk. The adopted approach combines two strategies: first, a cluster analysis on municipality level data (covering physical, social and production characteristics) is performed; second, the returned clusters are analysed under the light of climate change hazards, adopting nonparametric tests (Kruskal-Wallis and Dunn tests) to pinpoint significant differences. The study elucidates region heterogeneity in terms of GI systems and the territories where they couple with local-level climate change hazards. Thus, a need for a greater focus on these territorial hotspots is required within climate adaptation policies. Also more-tailored measures, which consider both specific characteristics of the GI systems and the extension of their production areas, are crucial
Adapting to climate change: what really drives the choices of the producers of Geographical Indications?
Full text linkIn an era of rapid climate change, there is an increasing call for the efforts directed at detecting best practices of climate change adaptation in agriculture and understanding the factors behind producers' willingness to implement adaptation strategies. Many studies consider solely traditional agriculture and specific sectors (e.g., wine), while little attention has been paid to certified and high-quality products, as a whole. To fill this knowledge gap, in 2022 a questionnaire-based online survey was administered to 137 producers of agri-food Geographical Indications in the Veneto Region (north-eastern Italy). Using a multinomial logit model, this study highlights the factors explaining adaptation strategies distinguishing three cases: (i) farmers who have implemented adaptation strategies; (ii) farmers intending to implement them in the future; (iii) farmers neither having implemented nor willing to do so. Results suggest that socio-demographic characteristics, particularly education, matter, with producers holding a high school degree in agriculture showing a greater willingness to adapt. Also, being full-time farmer couples with higher probability of having already implemented adaptation strategies. Lastly, also a direct observation of climate change in the production area affects farmers' adaptation decisions
The impact of climate change on land productivity. A micro-level assessment for Italian farms
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