IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v57y2023i2d10.1007_s11135-022-01420-x.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11135-022-01420-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11135-022-01420-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Aldieri, Luigi & Gatto, Andrea & Vinci, Concetto Paolo, 2021. "Evaluation of energy resilience and adaptation policies: An energy efficiency analysis," Energy Policy, Elsevier, vol. 157(C).
    2. Sadik-Zada, Elkhan Richard & Gatto, Andrea, 2021. "The puzzle of greenhouse gas footprints of oil abundance," Socio-Economic Planning Sciences, Elsevier, vol. 75(C).
    3. Mojtaba Masoudinejad, 2020. "Data-Sets for Indoor Photovoltaic Behavior in Low Lighting Conditions," Data, MDPI, vol. 5(2), pages 1-12, March.
    4. Gianluigi Cisco & Andrea Gatto, 2021. "Climate Justice in an Intergenerational Sustainability Framework: A Stochastic OLG Model," Economies, MDPI, vol. 9(2), pages 1-13, April.
    5. Farinha, Luís & Lopes, João & Bagchi-Sen, Sharmistha & Sebastião, João Renato & Oliveira, José, 2020. "Entrepreneurial dynamics and government policies to boost entrepreneurship performance," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
    6. Gnansounou, Edgard, 2008. "Assessing the energy vulnerability: Case of industrialised countries," Energy Policy, Elsevier, vol. 36(10), pages 3734-3744, October.
    7. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Drago, Carlo & Gatto, Andrea, 2022. "Policy, regulation effectiveness, and sustainability in the energy sector: A worldwide interval-based composite indicator," Energy Policy, Elsevier, vol. 167(C).
    2. Sadik-Zada, Elkhan Richard & Gatto, Andrea, 2023. "Civic engagement and energy transition in the Nordic-Baltic Sea Region: Parametric and nonparametric inquiries," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    3. Carlo Drago & Andrea Gatto, 2022. "An interval‐valued composite indicator for energy efficiency and green entrepreneurship," Business Strategy and the Environment, Wiley Blackwell, vol. 31(5), pages 2107-2126, July.
    4. Dong, Kangyin & Jiang, Qingzhe & Liu, Yang & Shen, Zhiyang & Vardanyan, Michael, 2024. "Is energy aid allocated fairly? A global energy vulnerability perspective," World Development, Elsevier, vol. 173(C).
    5. Gennaro Civero & Vincenzo Rusciano & Debora Scarpato & Mariarosaria Simeone, 2021. "Food: Not Only Safety, but Also Sustainability. The Emerging Trend of New Social Consumers," Sustainability, MDPI, vol. 13(23), pages 1-15, November.
    6. Karasoy, Alper, 2022. "Is innovative technology a solution to Japan's long-run energy insecurity? Dynamic evidence from the linear and nonlinear methods," Technology in Society, Elsevier, vol. 70(C).
    7. Mehmet Balcilar & Daberechi Chikezie Ekwueme & Hakki Ciftci, 2023. "Assessing the Effects of Natural Resource Extraction on Carbon Emissions and Energy Consumption in Sub-Saharan Africa: A STIRPAT Model Approach," Sustainability, MDPI, vol. 15(12), pages 1-23, June.
    8. 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.
    9. Jungmin An & Dong-Kwan Kim & Jinyeong Lee & Sung-Kwan Joo, 2021. "Least Squares Monte Carlo Simulation-Based Decision-Making Method for Photovoltaic Investment in Korea," Sustainability, MDPI, vol. 13(19), pages 1-14, September.
    10. Yuan, Mei-Hua & Lo, Shang-Lien, 2020. "Developing indicators for the monitoring of the sustainability of food, energy, and water," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    11. Carvallo, Juan Pablo & Frick, Natalie Mims & Schwartz, Lisa, 2022. "A review of examples and opportunities to quantify the grid reliability and resilience impacts of energy efficiency," Energy Policy, Elsevier, vol. 169(C).
    12. Mirosław Biczkowski & Aleksandra Jezierska-Thöle & Roman Rudnicki, 2021. "The Impact of RDP Measures on the Diversification of Agriculture and Rural Development—Seeking Additional Livelihoods: The Case of Poland," Agriculture, MDPI, vol. 11(3), pages 1-26, March.
    13. Da Gao & Chang Liu & Xinyan Wei & Yang Liu, 2023. "Can River Chief System Policy Improve Enterprises’ Energy Efficiency? Evidence from China," IJERPH, MDPI, vol. 20(4), pages 1-17, February.
    14. Lan-Cui Liu & Gang Wu, 2015. "Assessment of energy supply vulnerability between China and USA," 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. 75(2), pages 127-138, February.
    15. Lean, Hooi Hooi & Smyth, Russell, 2013. "Are fluctuations in US production of renewable energy permanent or transitory?," Applied Energy, Elsevier, vol. 101(C), pages 483-488.
    16. Lingling Zhou & Tao Shi & Qian Zhou, 2023. "Is ICT Development Conducive to Reducing the Vulnerability of Low-Carbon Energy? Evidence from OECD Countries," IJERPH, MDPI, vol. 20(3), pages 1-22, January.
    17. Elkhan Richard Sadik-Zada & Wilhelm Loewenstein, 2020. "Drivers of CO 2 -Emissions in Fossil Fuel Abundant Settings: (Pooled) Mean Group and Nonparametric Panel Analyses," Energies, MDPI, vol. 13(15), pages 1-24, August.
    18. Richard Heinberg & Timothy Crownshaw, 2018. "Energy Decline and Authoritarianism," Biophysical Economics and Resource Quality, Springer, vol. 3(3), pages 1-11, September.
    19. Yun, Na, 2023. "Nexus among carbon intensity and natural resources utilization on economic development: Econometric analysis from China," Resources Policy, Elsevier, vol. 83(C).
    20. Böhringer, Christoph & Bortolamedi, Markus, 2015. "Sense and no(n)-sense of energy security indicators," Ecological Economics, Elsevier, vol. 119(C), pages 359-371.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:qualqt:v:57:y:2023:i:2:d:10.1007_s11135-022-01420-x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.