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Defining, measuring and ranking energy vulnerability

Author

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  • Andrea Gatto

    (University of Naples “Parthenope”)

  • Francesco Busato

    (University of Naples “Parthenope”)

Abstract

Vulnerability is reaching an increasing attention from both academia, international community and industry, being detected as a pillar of the development agenda. If the formal definition of overall vulnerability and resilience is still flawed in the economic literature, the measurement and mainstreaming of outlying characteristics and sound policies for energy vulnerability results almost uncovered, often overlapping with other energy issues. Energy vulnerability also results poorly enforced by regulatory, governmental, and legislative systems. After reviewing and furnishing a univocal ambient merging the multiple interpretations on such concepts, this work: i) defines energy vulnerability; ii) builds a composite indicator to measure energy vulnerability; and iii) analyzes and ranks OECD and non-OECD countries in terms of energy vulnerability. The regulatory framework, SDGs and the development agenda are examined, selected indicators from the WB’s WDI are analyzed. The indicator is weighted by a multivariate analysis and its robustness is checked through different techniques.

Suggested Citation

  • Andrea Gatto & Francesco Busato, 2019. "Defining, measuring and ranking energy vulnerability," CREATES Research Papers 2019-01, Department of Economics and Business Economics, Aarhus University.
    • Handle: RePEc:aah:create:2019-01
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    File URL: https://repec.econ.au.dk/repec/creates/rp/19/rp19_01.pdf
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    References listed on IDEAS

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    Cited by:

    1. Yi Ge & Guangfei Yang & Yi Chen & Wen Dou, 2019. "Examining Social Vulnerability and Inequality: A Joint Analysis through a Connectivity Lens in the Urban Agglomerations of China," Sustainability, MDPI, vol. 11(4), pages 1-19, February.
    2. Yi Ge & Wen Dou & Xiaotao Wang & Yi Chen & Ziyuan Zhang, 2021. "Identifying urban–rural differences in social vulnerability to natural hazards: a case study of China," 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. 108(3), pages 2629-2651, September.

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    More about this item

    Keywords

    energy vulnerability; composite indicators; PCA;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

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