Assessing Sustainable Food Systems Governance in EU’s Outermost Regions—The Case of the Azores in Portugal

• Autor(a) principal: Hernández, Paola
• Data de Publicação: 2018
• Outros Autores: Guimaraes, Helena, Rivera, Maria, Silva, Emiliana
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10174/28447; https://doi.org/10.3390/su10093057
• topic: Azores; European Outermost Regions; Food Systems; Holistic Management; Sustainable landscape Governance

The European Union’s (EU) remote rural areas undergo unique organizational challenges to counteract geopolitical, economic, and environmental constraints and engage in a competitive global food market. A one size fits all recipe to mend specific issues has also proven inefficient and led policy-makers to acknowledge the importance of implementing sustainable landscape governance to promote rural development. This paper inquires what are the challenges and opportunities food systems must adopt in a sustainable landscape governance approach, based on a qualitative research work carried out in the Azores Region (Portugal) in 2016. Data was gathered via eleven semi-structured interviews to key stakeholders and participatory observation in six events related to the management of the Azores’ food system. A grounded theory method structured qualitatively research participants’ perceptions about the Region’s food regime. This analysis is hereby furthered according to the four criteria proposed by the sustainable landscape governance assessment method. Our results indicate the lack of coordination among actors, institutions and policies in the Azores Region could be counteracted by promoting inclusive participation and integrated knowledge to attain cohesive, sustainable, and efficient outcomes at the landscape level. The methodology has proven to be adequate and instrumental in identifying sustainable landscape governance issues in other food systems.