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A new multidimensional indicator to measure the agrifood sustainability

Author

Listed:
  • Andrea Mecca
  • Emanuele Giordano
  • Francesca Gagliardi

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

Suggested Citation

  • Andrea Mecca & Emanuele Giordano & Francesca Gagliardi, 2024. "A new multidimensional indicator to measure the agrifood sustainability," Department of Economics University of Siena 910, Department of Economics, University of Siena.
    • Handle: RePEc:usi:wpaper:910
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    More about this item

    Keywords

    agrifood; sustainability; measures; fuzzy;
    All these keywords.

    JEL classification:

    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

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