An integrated quantitative framework propose for sustainability assessment in geographical indication production systems

Abstract

This research aims to propose a comprehensive sustainability quantitative evaluation method capable of dealing within a vast range of dimensions at the same time in geographical indication(GI) production systems. While past studies taken account sociological or environmental aspects, setting aside economic content, the present study takes account production efficiency and profitability, an elementary condition for regional development. The previous work struggled even, by turning such evaluations into actionable information in a micro and macro context of production units, and to tackle the difficult tasks of disseminating findings outside the scientific community. In order to deal with these problems, four papers were written aimed at bringing different viewpoints into the discipline. 18 SUMMARY tion efficiency increment and addition of value by service disposition are emerged general strategies provided by the genetic algorithm model. Finally, the study certainly adds to our understanding of the sustainability assessment in GI's by providing a robust quantitative framework for assessment, classification and communication of the results much abroad to the academy space, leading to easy communication for managers to achieve better sustainability by changing impactful leverages such as technification, maintenance of clusters proportions or following competitive strategies for each farm.