The aim of this paper is to investigate the agri-environmental sustainability whereas statistical improvements provide a considerable backbone for understanding the three E’s balance rule, environment, equity, economy. Then, access data to key resources such as food and water are still not fully available and comparable between countries. This opens several questions in terms of what kind of policy measures we effectively need and where to support climate smart agriculture and build resilience to climate change. By analysing food data, we identify gaps and bottlenecks which may affect the understanding of the magnitude of the food security challenge. We study a post-transition country, Serbia, chosen for the relevance of the agricultural sector on the living conditions of rural population, and the opportunities for the transition to sustainable farming and food production. Finally, we give insights for optimisation of the use of statistical info by highlighting informative power and limits of available statistical sources.

Understanding limits to data informative power for sustainable food policies in transition and post-transition countries

FIORE, MARIANTONIETTA;CONTO', FRANCESCO
2015-01-01

Abstract

The aim of this paper is to investigate the agri-environmental sustainability whereas statistical improvements provide a considerable backbone for understanding the three E’s balance rule, environment, equity, economy. Then, access data to key resources such as food and water are still not fully available and comparable between countries. This opens several questions in terms of what kind of policy measures we effectively need and where to support climate smart agriculture and build resilience to climate change. By analysing food data, we identify gaps and bottlenecks which may affect the understanding of the magnitude of the food security challenge. We study a post-transition country, Serbia, chosen for the relevance of the agricultural sector on the living conditions of rural population, and the opportunities for the transition to sustainable farming and food production. Finally, we give insights for optimisation of the use of statistical info by highlighting informative power and limits of available statistical sources.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11369/332501
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