A new multidimensional indicator to measure the agrifood sustainability
Andrea Mecca (),
Emanuele Giordano () and
Francesca Gagliardi ()
Department of Economics University of Siena from Department of Economics, University of Siena
Abstract:
The main objective of the paper is to provide a step-by-step procedure for the construction of a multidimensional indicator for measuring the sustainability of businesses and food chains. We first propose a short review of the literature on composite sustainability indicators and a theoretical overview of the statistical methods used in the various phases of their construction, such as topic-modelling techniques and multivariate methods for identifying latent dimensions and defining appropriate weights for aggregation. We adopt a multidimensional double fuzzy set approach, widely used in poverty measurement. The indicator is then applied to the 20 Italian regions with reference to a special data set of 2021, which is the last available survey year
Keywords: agrifood; sustainability; measures; fuzzy (search for similar items in EconPapers)
JEL-codes: C83 Q01 R11 (search for similar items in EconPapers)
Date: 2024-04
New Economics Papers: this item is included in nep-agr and nep-env
References: Add references at CitEc
Citations:
Downloads: (external link)
http://repec.deps.unisi.it/quaderni/910.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:usi:wpaper:910
Access Statistics for this paper
More papers in Department of Economics University of Siena from Department of Economics, University of Siena Contact information at EDIRC.
Bibliographic data for series maintained by Fabrizio Becatti ().