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Measuring and modeling energy resilience


  • Gatto, Andrea
  • Drago, Carlo


Resilience is a hot topic within the international development agenda and Sustainable Development Goals. Nowadays, resilience plays a crucial role in improving the quality of life of vulnerable categories and is designed as a major strategy to face the diverse dimensions and dynamics of vulnerability. Energy results among the most relevant fields of applications of resilience policies, especially when it comes to electricity. As a multidimensional concept, energy resilience policies must relate to the dimensions of sustainability – here considered as the interplay between the economic, social, environmental and governance dimensions. Due to the complexity of the phenomenon, energy resilience can be effectively outlined making use of composite indicators techniques. This paper presents the following new results: i) energy resilience is defined and ranked, strengthening a composite indicator for both OECD and non-OECD countries; the determinants of energy resilience are investigated; ii) an innovation on the construction of the World Bank's Regulatory Indicators on Sustainable Energy is operated. Our exercise makes use of an approach based on interval data to assess the sensitivity of the measure from different specifications. For the same scope, the robustness of the ranks obtained is analyzed through an uncertainty analysis. These choices aim to enhance the soundness and the validity of the composite indicator. The methodology provides a more reliable baseline to validate the results and the conceptual assumptions undertaken. It is found that, according to the diverse theoretical frameworks and methodologies applied, some countries vary considerably both in the pillars that aggregate the variables and within the minima, the centers, and the maxima of the intervals.

Suggested Citation

  • Gatto, Andrea & Drago, Carlo, 2020. "Measuring and modeling energy resilience," Ecological Economics, Elsevier, vol. 172(C).
  • Handle: RePEc:eee:ecolec:v:172:y:2020:i:c:s0921800919301570
    DOI: 10.1016/j.ecolecon.2019.106527

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    References listed on IDEAS

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    Cited by:

    1. Andrea Gatto, 2020. "A pluralistic approach to economic and business sustainability: A critical meta‐synthesis of foundations, metrics, and evidence of human and local development," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 27(4), pages 1525-1539, July.
    2. Pilar Murias & Beatriz Valcárcel-Aguiar & Rosa María Regueiro-Ferreira, 2020. "A Territorial Estimate for Household Energy Vulnerability: An Application for Spain," Sustainability, MDPI, Open Access Journal, vol. 12(15), pages 1-22, July.
    3. Agnieszka Kozera & Aldona Standar & Łukasz Satoła, 2020. "Managing Rural Areas in the Context of the Growing Debt of Polish Local Government Units," Agriculture, MDPI, Open Access Journal, vol. 10(9), pages 1-25, August.
    4. Arshian Sharif & Eyup Dogan & Ameenullah Aman & Hafizah Hammad Ahmad Khan & Isma Zaighum, 2020. "Rare disaster and renewable energy in the USA: new insights from wavelet coherence and rolling-window analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(3), pages 2731-2755, September.
    5. Arshian Sharif & Eyup Dogan & Ameenullah Aman & Hafizah Hammad Ahmad Khan & Isma Zaighum, 0. "Rare disaster and renewable energy in the USA: new insights from wavelet coherence and rolling-window analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 0, pages 1-25.

    More about this item


    Energy resilience; Energy access; Energy efficiency; Renewable energy; Composite indicators; Interval-based composite indicators;

    JEL classification:

    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics


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