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A Logical-Perequative Methodology to Define the Social Discount Rate for the Cost-Benefit Analysis Application

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Computational Science and Its Applications – ICCSA 2023 Workshops (ICCSA 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14109))

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Abstract

The need to define effective interventions for the urban sustainable development goals is always growing and recognized by the central governments. In the current economic situation, the adequate use of EU-funds for the investments to be carried out on the territory requires a targeted and valid implementation of the economic evaluations of the projects. In this framework, in the Cost- Benefit Analysis the Social Discount Rate (SDR) is ordinarily assessed by empirical approaches that neglect the main environmental, social and economic aspects of the nation in which the intervention will be realized. In this sense, in the present research an innovative logical-perequative methodology is proposed, able to take into account the specificities of the country through the detection of the main indicators related to the environmental, social and economic sustainability issues. The main advantage of the proposed methodology is the ability to determine the adequate corrective coefficient able to adjust the official SDR values, according to the real current sustainability levels of each country.

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Authors and Affiliations

  1. Department of Civil, Environmental, Land, Building Engineering and Chemistry (DICATECh), Polytechnic University of Bari, 70126, Bari, Italy

    Felicia Di Liddo, Debora Anelli, Pierluigi Morano & Carmelo Maria Torre

  2. Department of Architecture and Design, “Sapienza” University of Rome, 00196, Rome, Italy

    Francesco Tajani

Authors
  1. Felicia Di Liddo
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  2. Debora Anelli
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  3. Pierluigi Morano
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  4. Francesco Tajani
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  5. Carmelo Maria Torre
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Corresponding author

Correspondence to Debora Anelli .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. University of Minho, Braga, Portugal

    Ana Maria A. C. Rocha

  4. University of Cagliari, Cagliari, Italy

    Chiara Garau

  5. University of Basilicata, Potenza, Italy

    Francesco Scorza

  6. University of Massachusetts Medical School, Worcester, MA, USA

    Yeliz Karaca

  7. Polytechnic University of Bari, Bari, Italy

    Carmelo M. Torre

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Di Liddo, F., Anelli, D., Morano, P., Tajani, F., Torre, C.M. (2023). A Logical-Perequative Methodology to Define the Social Discount Rate for the Cost-Benefit Analysis Application. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2023 Workshops. ICCSA 2023. Lecture Notes in Computer Science, vol 14109. Springer, Cham. https://doi.org/10.1007/978-3-031-37120-2_26

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  • DOI: https://doi.org/10.1007/978-3-031-37120-2_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-37119-6

  • Online ISBN: 978-3-031-37120-2

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