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The role of the Common Agricultural Policy in the spatial location of agricultural activities AgEcon
Viaggi, Davide; Bartolini, Fabio; Raggi, Meri; Sardonini, Laura.
The objective of this paper is to analyse and quantify the spatial dimension of the CAP effects in an area of Northern Italy. The analysis is based on survey information about stated intentions of farm-household in two CAP scenarios, treated through statistical analysis intended to identify the potential determinants of different farm reactions, focusing on explicit spatial variables (altitude, LFA, agrarian regions) among explanatory variables. Altogether, the study shows the relevance of explicitly addressing the spatial effects of policies and also the differentiated spatial effect of policy on different dimensions of agricultural activities. However, the work also highlights the limitation of the location-based representation of the spatial dimension...
Tipo: Conference Paper or Presentation Palavras-chave: Common Agricultural Policy; Spatial effects; Emilia-Romagna.; Agribusiness; Agricultural and Food Policy; Community/Rural/Urban Development; Food Consumption/Nutrition/Food Safety; Labor and Human Capital.
Ano: 2010 URL: http://purl.umn.edu/95242
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Accounting for multiple impacts of the Common agricultural policies in rural areas: an analysis using a Bayesian networks approach AgEcon
Viaggi, Davide; Raggi, Meri; Sardonini, Laura.
In evaluating the potential effects of the reforms of the Common Agricultural Policy, a particularly challenging issue is the representation of the complexity of rural systems either in a static or dynamic framework. In this paper we use Bayesian networks, to the best knowledge of the authors, basically ignored by the literature on rural development. The objective of this paper is to discuss the potential use of Bayesian Networks tools to represent the multiple determinants and impacts of the Common Agricultural Policies in rural areas across Europe. The analysis shows the potential use of BNs in terms of representation of the multiple linkages between different components of rural areas and farming systems, though its use as a simulation tool still...
Tipo: Conference Paper or Presentation Palavras-chave: Bayesian Networks (BNs); Farm-household; Multiple outcomes; Agricultural and Food Policy; Q1; Q18.
Ano: 2011 URL: http://purl.umn.edu/99592
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Bayesian networks as a tool to assess the multiple effects of agricultural policies in rural areas AgEcon
Raggi, Meri; Sardonini, Laura; Viaggi, Davide.
Many economic analysis tools are used to evaluate the effects of policies on rural development. However, a number of unexplored options are still available from the literature about policy analysis and biophysical systems representations. A particularly important need concerns the representation of the complexity of rural systems either in a static or dynamic framework In this paper we use Bayesian networks, to the best knowledge of the authors, basically ignored by the literature on rural development. The objective of this paper is to discuss the potential use of Bayesian Networks tools to represent the impact of the Common Agricultural Policies in rural areas.
Tipo: Conference Paper or Presentation Palavras-chave: Bayesian Networks (BNs); Farm-household; Exit; Community/Rural/Urban Development; Q1; Q18.
Ano: 2010 URL: http://purl.umn.edu/94911
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