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Panel data and descriptor for energy econometrics – an efficiency, resilience and innovation analysis

Author

Listed:
  • Luigi Aldieri

    (University of Salerno)

  • Andrea Gatto

    (Wenzhou-Kean University
    University of Greenwich
    Azerbaijan State University of Economics (UNEC))

  • Concetto Paolo Vinci

    (University of Salerno)

Abstract

The work at hand presents a new extensive panel dataset for energy economics, econometrics and policy. The referred dataset is made of 5000 observations circa, including 6 energy economics variables and the majority of the world’s countries (n = 136), extended for 6 years (2009–2014). Data can be used for diverse energy econometrics studies, especially for socioeconomic and environmental aspects of energy innovation and efficiency investigations. The analysed data can be exploited for further analyses to improve our understanding of resilience and vulnerability aspects of the domestic industry, examined at the global scale. To this end, several databases were chosen from the IEA, the World Bank and their partners. Data were collected, cleaned, treated, harmonised and analysed to return a new panel dataset. Both the new data organisation and the descriptor can be used as tools and guidance to perform sustainability, innovation and entrepreneurial inquiries and analyses, focusing on energy economics, econometrics and development policy.

Suggested Citation

  • Luigi Aldieri & Andrea Gatto & Concetto Paolo Vinci, 2023. "Panel data and descriptor for energy econometrics – an efficiency, resilience and innovation analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(2), pages 1649-1656, April.
    • Handle: RePEc:spr:qualqt:v:57:y:2023:i:2:d:10.1007_s11135-022-01420-x
    DOI: 10.1007/s11135-022-01420-x
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    References listed on IDEAS

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    1. Mojtaba Masoudinejad, 2020. "Data-Sets for Indoor Photovoltaic Behavior in Low Lighting Conditions," Data, MDPI, vol. 5(2), pages 1-12, March.
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    5. Gnansounou, Edgard, 2008. "Assessing the energy vulnerability: Case of industrialised countries," Energy Policy, Elsevier, vol. 36(10), pages 3734-3744, October.
    6. Nathan Morrow & Nancy B. Mock & Andrea Gatto & Julia LeMense & Margaret Hudson, 2022. "Protective Pathways: Connecting Environmental and Human Security at Local and Landscape Level with NLP and Geospatial Analysis of a Novel Database of 1500 Project Evaluations," Land, MDPI, vol. 11(1), pages 1-23, January.
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