Geographical indications (GIs) are a 25 years old European policy instrument which have, among its objectives, to foster rural development. In this respect, very few studies quantitatively investigate to what extent this policy is effective. Literature is in fact mainly focused on specific GIs, studied through case studies, trying to identify which factors are responsible for the success or failure of specific initiatives. The aim of the present study is instead to quantify the impact of such policy instrument on a single indicator of rural development: agricultural value added. In order to assess the impact we firstly built an index measuring the number of GI schemes implemented at NUTS3 level in the Italian regions. Then, following a difference-in-difference evaluation strategy and relying on an explicit theoretical model, a fixed effect estimator was implemented. The choice of the model, as well as the variables to be considered, is specified using a directed acyclic graph. Results show that an overall positive effect of GI protection on agricultural value added could be identified in Italy, thus providing evidence of a positive impact of the European policy on rural development.

Geographical indications: a first assessment of the impact on rural development in Italian NUTS3 Regions

CEI, LEONARDO;DEFRANCESCO, EDI;
2017

Abstract

Geographical indications (GIs) are a 25 years old European policy instrument which have, among its objectives, to foster rural development. In this respect, very few studies quantitatively investigate to what extent this policy is effective. Literature is in fact mainly focused on specific GIs, studied through case studies, trying to identify which factors are responsible for the success or failure of specific initiatives. The aim of the present study is instead to quantify the impact of such policy instrument on a single indicator of rural development: agricultural value added. In order to assess the impact we firstly built an index measuring the number of GI schemes implemented at NUTS3 level in the Italian regions. Then, following a difference-in-difference evaluation strategy and relying on an explicit theoretical model, a fixed effect estimator was implemented. The choice of the model, as well as the variables to be considered, is specified using a directed acyclic graph. Results show that an overall positive effect of GI protection on agricultural value added could be identified in Italy, thus providing evidence of a positive impact of the European policy on rural development.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3241607
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