The agro-environmental policies included in the Rural Development Plans (PSR) are acquiring increasing impor- tance in Communitarian strategies. These policies represent the meeting point between the demand for and supply of positive externalities. The difficulty of assessing the real environmental effectiveness is one of the elements characterizing the agro-environment. This difficulty is essentially due to the problem of identifying suitable parameters with which to evaluate companies according to their impact on the territory. Accordingly, it is through a Multicriteria Geographical Analysis that organic farms will be evaluated and integrated (214a1 measure «Organic Farming» and 214a2 «Integrated Farming») in the PSR 2007-2013 financed by the Tuscany region. Through multidimensional indicators, such farms will be classified according to their impact on the environment.

L’impatto delle misure agroambientali nella regione Toscana / Emanuele, Gabbrielli; Francesco, Riccioli; Leonardo, Casini. - In: SR SCIENZE REGIONALI. - ISSN 1720-3929. - ELETTRONICO. - (2017), pp. 433-462.

L’impatto delle misure agroambientali nella regione Toscana

GABBRIELLI, EMANUELE;RICCIOLI, FRANCESCO;CASINI, LEONARDO
2017

Abstract

The agro-environmental policies included in the Rural Development Plans (PSR) are acquiring increasing impor- tance in Communitarian strategies. These policies represent the meeting point between the demand for and supply of positive externalities. The difficulty of assessing the real environmental effectiveness is one of the elements characterizing the agro-environment. This difficulty is essentially due to the problem of identifying suitable parameters with which to evaluate companies according to their impact on the territory. Accordingly, it is through a Multicriteria Geographical Analysis that organic farms will be evaluated and integrated (214a1 measure «Organic Farming» and 214a2 «Integrated Farming») in the PSR 2007-2013 financed by the Tuscany region. Through multidimensional indicators, such farms will be classified according to their impact on the environment.
2017
433
462
Emanuele, Gabbrielli; Francesco, Riccioli; Leonardo, Casini
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1095430
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