Wissenstransfer und Innovation im Rahmen der Politik zur Entwicklung des ländlichen Raums
In: EU-Magazin ländlicher Raum Nr. 16.2013
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In: EU-Magazin ländlicher Raum Nr. 16.2013
In: Regional studies: official journal of the Regional Studies Association, Band 42, Heft 3, S. 355-374
ISSN: 1360-0591
In: Local government studies, Band 33, Heft 1, S. 49-76
ISSN: 1743-9388
In: Local government studies, Band 33, Heft 1, S. 49-76
ISSN: 0300-3930
In: Regional Studies, Band 42, Heft 3, S. 355-374
This paper examines the spatial economic behaviour of firms located in and around thirty towns across five European countries. It tests a number of hypotheses regarding the influence of various characteristics on the strength of local economic integration. Findings reveal that the more 'traditional' and less productive rural firms exhibit stronger ties to their locality and the size of the local intermediate goods market influences the extent to which firms source locally. Differences in terms of country, area and town size highlight the importance of local contexts in explaining patterns of spatial economic behaviour.
In: Land use policy: the international journal covering all aspects of land use, Band 31, S. 26-37
ISSN: 0264-8377
In: Land use policy, Band 31
ISSN: 0264-8377
In: Marine policy: the international journal of ocean affairs, Band 37, S. 62-68
ISSN: 0308-597X
In: Marine policy, Band 37, S. 62-68
ISSN: 0308-597X
In: Land use policy: the international journal covering all aspects of land use, Band 134, S. 106901
ISSN: 0264-8377
5.2 Aim of This Chapter While other chapters focus more upon economic and production factors and their contribution to resilience, this chapter focuses on environmental sustainability and its inherent importance to resilience. Using Therond et al.'s farming system classification framework and the theory of lock-in in agricultural systems, we assess the environmental sustainability and therefore resilience of three case studies within Europe. We demonstrate how the challenges they face lock them in to their current systems, despite EU policies geared towards agrienvironment schemes. With multi-stakeholder input, we then show how tackling these lock-in factors can create more sustainable and resilient systems.
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The influence of the policy framework on the resilience of European farming systems cannot be understood without analysing the interplay between the CAP and various other policies across sectors and jurisdictional levels from the perspective of regional farming systems. This report shows a bottom-up evaluation of policy framework for farming systems in five regions: dairy farming in Flanders (Belgium), extensive sheep farming in Hoya de Huesca, Aragon (Spain), arable farming in De Veenkoloniën (The Netherlands), large-scale corporate farms in East England (UK), and family fruit and vegetable farms in the Mazovian and Podlasie regions (Poland). The cases have been selected with a view to the variety of EU farming systems and associated challenges, as well as surrounding policy configurations. ; EU; BE; DE; ES; GB; PL; en; contact: yannick.buitenhuis@wur.nl
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This report presents the results of a participatory sustainability and resilience assessment of 11 farming systems in the European Union (EU). The assessments focused on 1) ranking the importance of functions and selecting representative indicators for these functions, 2) scoring the current performance of the representative indicators, 3) sketching dynamics of main representative indicators of functions, 4) linking these dynamics to challenges and resilience enhancing strategies, 5) assessing level of implementation of identified strategies and their potential contribution to the robustness, adaptability and transformability of the farming system, and 6) assessing level of presence of resilience enhancing system characteristics (resilience attributes) and their potential contribution to the robustness, adaptability and transformability of the farming system. ; EU; en; contact: wim.paas@wur.nl
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For improving sustainability and resilience of EU farming system, the current state needs to be assessed, before being able to move on to future scenarios. Assessing sustainability and resilience of farming systems is a multi-faceted research challenge in terms of the scientific domains and scales of integration (farm, household, farming system level) that need to be covered. Hence, in SURE-Farm, multiple approaches are used to evaluate current sustainability and resilience and its underlying structures and drivers. To maintain consistency across the different approaches, all approaches are connected to a resilience framework which was developed for the unique purposes of SURE-Farm. The resilience framework follows five steps: 1) the farming system (resilience of what?), 2) challenges (resilience to what?), 3) functions (resilience for what purpose?), 4) resilience capacities, 5) resilience attributes (what enhances resilience?). The framework was operationalized in 11 case studies across the EU. Applied approaches differ in disciplinary orientation and the farming system process they focus on. Three approaches focus on risk management: 1) a farm survey with a main focus on risk management and risk management strategies, 2) interviews on farmers' learning capacity and networks of influence, and 3) Focus Groups on risk management. Two approaches address farm demographics: 4) interviews on farm demographics, and 5) AgriPoliS Focus Group workshops on structural change of farming systems from a (farm) demographics perspective. One approach applied so far addresses governance: 6) the Resilience Assessment Tool that evaluates how policies and legislation support resilience of farming systems. Two methods address agricultural production and delivery of public and private goods: 7) the Framework of Participatory Impact Assessment for sustainable and resilient farming systems (FoPIA-SURE-Farm), aiming to integrate multiple perspectives at farming system level, and 8) the Ecosystem Services assessment that evaluates the delivery of public and private goods. In a few case studies, additional methods were applied. Specifically, in the Italian case study, additional statistical approaches were used to increase the support for risk management options (Appendix A and Appendix B). Results of the different methods were compared and synthesized per step of the resilience framework. Synthesized results were used to determine the position of the farming system in the adaptive cycle, i.e. in the exploitation, conservation, release, or reorganization phase. Dependent on the current phase of the farming system, strategies for improving sustainability and resilience were developed. Results were synthesized around the three aspects characterizing the SURE-Farm framework, i.e. (i) it studies resilience at the farming system level, (ii) considers three resilience capacities, and (iii) assesses resilience in the context of the (changing) functions of the system. (i) Many actors are part of the farming system. However, resilience-enhancing strategies are mostly defined at the farm level. In each farming system multiple actors are considered to be part of the system, such as consultants, neighbors, local selling networks and nature organizations. The number of different farming system actors beyond the focal farmers varies between 4 (in French beef and Italian hazelnut systems) and 14 (large-scale arable systems in the UK). These large numbers of actors illustrate the relevance of looking at farming system level rather than at farm level. It also suggests that discussions about resilience and future strategies need to embrace all of these actors. (ii) At system level there is a low perceived capacity to transform. Yet, most systems appear to be at the start of a period in which (incremental) transformation is required. At system level, the capacity to transform is perceived to be relatively low, except in the Romanian mixed farming system. The latter may reflect a combination of ample room to grow and a relatively stable environment (especially when compared to the past 30 to 50 years). The relatively low capacity to transform in the majority of systems is not in line with the suggestion that most systems are at the start of (incremental) transformation, or, at least, reached a situation in which they can no longer grow. Further growth is only deemed possible in the Belgium dairy, Italian hazelnut, Polish fruit and Romanian mixed farming systems. (iii) System functions score well with regard to the delivery of high-quality and safe food but face problems with quality of rural life and protecting biodiversity. Resilience capacities can only be understood in the context of the functions to be delivered by a farming system. We find that across all systems required functions are a mix of private and public goods. With regard to the capacity to deliver private goods, all systems perform well with respect to high-quality and safe food. Viability of farm income is regarded moderate or low in the livestock systems in Belgium (dairy), France (beef) and Sweden (broilers), and the fruit farming system in Poland. Across all functions, attention is especially needed for the delivery of public goods. More specifically the quality of rural life and infrastructure are frequently classified as being important, but currently performing bad. Despite the concerns about the delivery of public goods, many future strategies still focus on improving the delivery of private goods. Suggestions in the area of public goods include among others the implementation of conservation farming in the UK arable system, improved water management in the Italian hazelnut system, and introduction of technologies which reduce the use of herbicides in Polish fruit systems. It is questionable whether these are sufficient to address the need to improve the maintenance of natural resources, biodiversity and attractiveness of rural areas. With regard to the changing of functions over time, we did not find evidence for this in our farming systems.
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