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A Conceptual Framework to Correlate the Electric Transition and Well-Being and Equity. The Italy Case

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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 macroeconomic indicator of energy efficiency represents the energy performance in spatial terms (nation, region and macro-region) or the amount of energy used to produce a given unit of Gross Domestic Product. However, the electric transition draws attention to the need to pursue combined sustainable objectives, both economic and environmental-well-being.

Through the intermediate spatial dimension-metropolitan city/province, currently the most coherent to represent and support a just energy transition, in this paper it is intended to develop a methodological approach for the com-parative evaluation between electricity energy consumption and the recent equitable and sustainable well-being indicators (BES). In this framework, the objective of the work is the spatial representation of the electricity transition phenomenon in Italy. In particular, the spatial autocorrelation with an intermediate territorial basis in the pre and post-covid period (2017–2021) be-tween electricity consumption and a selected series of BES indicators to recognize spatial equity is investigated.

In order to present the usefulness and effectiveness of the proposed methodology was applied to the case study covering the Italian territory.

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Acknowledgment

This study was supported by Projects Ecosystem of Innovation for Next Generation Sardinia (e.INS) - approved by MUR, prot. n. 1056 of 23/06/2022; also, this publication was produced while attending the PhD programme in Civil Engineering and Architecture at the University of Cagliari, Cycle XXXVIII, with the support of a scholarship co-financed by the Ministerial Decree no. 352 of 9th April 2022, based on the NRRP - funded by the European Union - NextGenerationEU - Mission 4 “Education and Research”, Component 2 “From Research to Business”, Investment 3.3, and by the company MLab srl.

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Authors and Affiliations

  1. DICAAR – Department of Civil and Environmental Engineering and Architecture, University of Cagliari, Via Marengo 2, Cagliari, Italy

    Ginevra Balletto, Martina Sinatra & Alessandra Milesi

  2. DIEE - Department of Electrical and Electronic Engineering, University of Cagliari, Via Marengo 2, Cagliari, Italy

    Emilio Ghiani

  3. DEAMS - Department of Economics, Business, Mathematics and Statistics Sciences “Bruno de Finetti”, University of Trieste, 34127, Trieste, Italy

    Giuseppe Borruso

Authors
  1. Ginevra Balletto
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  2. Martina Sinatra
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  3. Alessandra Milesi
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  4. Emilio Ghiani
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  5. Giuseppe Borruso
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Contributions

Conceptualization, methodology, formal analysis, materials and resources, software and data curation: Balletto, Borruso and Sinatra. Validation: all authors. In particular: Balletto wrote Sect. 1, Sect. 2; Balletto, Sinatra and Ghiani wrote Sect. 2.1; Borruso and Sinatra wrote Sect. 2.2 and Sect. 5; Sinatra and Milesi wrote Sect. 3; Balletto and Borruso Sect. 6.

Corresponding author

Correspondence to Ginevra Balletto .

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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Balletto, G., Sinatra, M., Milesi, A., Ghiani, E., Borruso, G. (2023). A Conceptual Framework to Correlate the Electric Transition and Well-Being and Equity. The Italy Case. 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_5

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  • DOI: https://doi.org/10.1007/978-3-031-37120-2_5

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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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