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Measuring and modeling energy resilience

Author

Listed:
  • Gatto, Andrea
  • Drago, Carlo
Abstract
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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    1. Ron Martin, 2012. "Regional economic resilience, hysteresis and recessionary shocks," Journal of Economic Geography, Oxford University Press, vol. 12(1), pages 1-32, January.
    2. Brand, Fridolin, 2009. "Critical natural capital revisited: Ecological resilience and sustainable development," Ecological Economics, Elsevier, vol. 68(3), pages 605-612, January.
    3. Sudeshna Ghosh Banerjee & Francisco Alejandro Moreno & Jonathan Sinton & Tanya Primiani & Joonkyung Seong, "undated". "Regulatory Indicators for Sustainable Energy," World Bank Publications - Reports 26099, The World Bank Group.
    4. United Nations UN, 2015. "Transforming our World: the 2030 Agenda for Sustainable Development," Working Papers id:7559, eSocialSciences.
    5. 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.
    6. Gnansounou, Edgard, 2008. "Assessing the energy vulnerability: Case of industrialised countries," Energy Policy, Elsevier, vol. 36(10), pages 3734-3744, October.
    7. Sharifi, Ayyoob & Yamagata, Yoshiki, 2016. "Principles and criteria for assessing urban energy resilience: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1654-1677.
    8. Derissen, Sandra & Quaas, Martin F. & Baumgärtner, Stefan, 2011. "The relationship between resilience and sustainability of ecological-economic systems," Ecological Economics, Elsevier, vol. 70(6), pages 1121-1128, April.
    9. Sircar, Indraneel & Sage, Daniel & Goodier, Chris & Fussey, Pete & Dainty, Andrew, 2013. "Constructing resilient futures: integrating UK multi-stakeholder transport and energy resilience for 2050," LSE Research Online Documents on Economics 69768, London School of Economics and Political Science, LSE Library.
    10. Luzzati, T. & Gucciardi, G., 2015. "A non-simplistic approach to composite indicators and rankings: an illustration by comparing the sustainability of the EU Countries," Ecological Economics, Elsevier, vol. 113(C), pages 25-38.
    11. Roege, Paul E. & Collier, Zachary A. & Mancillas, James & McDonagh, John A. & Linkov, Igor, 2014. "Metrics for energy resilience," Energy Policy, Elsevier, vol. 72(C), pages 249-256.
    12. He, Peijun & Ng, Tsan Sheng & Su, Bin, 2015. "Energy import resilience with input–output linear programming models," Energy Economics, Elsevier, vol. 50(C), pages 215-226.
    13. Saha, Mithun & Eckelman, Matthew J., 2015. "Geospatial assessment of potential bioenergy crop production on urban marginal land," Applied Energy, Elsevier, vol. 159(C), pages 540-547.
    14. He, Peijun & Ng, Tsan Sheng & Su, Bin, 2017. "Energy-economic recovery resilience with Input-Output linear programming models," Energy Economics, Elsevier, vol. 68(C), pages 177-191.
    15. Strunz, Sebastian, 2014. "The German energy transition as a regime shift," Ecological Economics, Elsevier, vol. 100(C), pages 150-158.
    16. M. Saisana & A. Saltelli & S. Tarantola, 2005. "Uncertainty and sensitivity analysis techniques as tools for the quality assessment of composite indicators," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(2), pages 307-323, March.
    17. Gatto, Andrea & Drago, Carlo, 2020. "A taxonomy of energy resilience," Energy Policy, Elsevier, vol. 136(C).
    18. Benjamin McLellan & Qi Zhang & Hooman Farzaneh & N. Agya Utama & Keiichi N. Ishihara, 2012. "Resilience, Sustainability and Risk Management: A Focus on Energy," Challenges, MDPI, vol. 3(2), pages 1-30, August.
    19. Perrings, Charles, 2006. "Resilience and sustainable development," Environment and Development Economics, Cambridge University Press, vol. 11(4), pages 417-427, August.
    20. Andrea Gatto, 2018. "Historical Roots of Microcredit and Usury: The Role of Monti di Pietà in Italy and in the Kingdom of Naples in XV–XX Centuries," Journal of International Development, John Wiley & Sons, Ltd., vol. 30(5), pages 911-914, July.
    21. Gnansounou, Edgard & Dong, Jun, 2010. "Vulnerability of the economy to the potential disturbances of energy supply: A logic-based model with application to the case of China," Energy Policy, Elsevier, vol. 38(6), pages 2846-2857, June.
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    More about this item

    Keywords

    Energy resilience; Energy access; Energy efficiency; Renewable energy; Composite indicators; Interval-based composite indicators;
    All these keywords.

    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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