Abstract

ABSTRACT This paper studies the factors affecting the decision of farmers to sell their products directly to consumers using micro-data on the entire farm population in Italy. The empirical setting of the analysis reflects a focus on the geographical determinants of farmers’ choices as the model is estimated by adopting a multilevel approach and also including spatially lagged variables. The results support the idea that the diffusion of direct sale is a localized process of social innovation, based on knowledge sharing among actors. Policy design should consider the nature of this process in supporting more sustainable forms of supply chain.

Highlights

  • The adoption of direct selling to consumers as a marketing strategy is a typical feature of farms joining the creation of alternative food networks (AFNs)

  • We use the micro-data on the entire farm population which is available from the Census of Agriculture carried out by Istat (Istituto Nazionale di Statistica) in 2010, which means that we have information on every single farm in Italy

  • The analysis of the entire farm population allows us to go beyond the dichotomy between conventional and alternative because if it is true that direct sale continues to be described by many scholars as a typical feature of AFNs (Sonnino and Marsden, 2006; Donald et al, 2010), it true that it often takes place in very conventional farms

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Summary

Introduction

The adoption of direct selling to consumers as a marketing strategy is a typical feature of farms joining the creation of alternative food networks (AFNs). The analysis of the entire farm population allows us to go beyond the dichotomy between conventional and alternative because if it is true that direct sale continues to be described by many scholars as a typical feature of AFNs (Sonnino and Marsden, 2006; Donald et al, 2010), it true that it often takes place in very conventional farms. Today it is no longer a niche farm strategy but rather a possible marketing option within the evolving agri-food system. We use this information to study the determinants of direct sale

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