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The Role of Renewable Energy Consumption in Promoting Sustainability and Circular Economy. A Data-Driven Analysis

Author

Listed:
  • Laureti, Lucio
  • Costantiello, Alberto
  • Leogrande, Angelo

Abstract

In this article we investigate the role of “Renewable Energy Consumption” in the context of Circular Economy. We use data from the World Bank for 193 countries in the period 2011-2020. We perform several econometric techniques i.e., Panel Data with Fixed Effects, Panel Data with Random Effects, Pooled OLS, WLS. Our results show that “Renewable Energy Consumption” is positively associated among others to “Cooling Degree Days” and “Adjusted savings: net forest depletion” and negatively associated among others to “GHG net emissions/removals by LUCF” and “Mean Drought Index”. Furthermore, we perform a cluster analysis with the application of the k-Means algorithm optimized with the Silhouette Coefficient and we find the presence of two clusters. Finally, we compare eight different machine learning algorithms to predict the value of Renewable Energy Consumption. Our results show that the Polynomial Regression is the best algorithm in the sense of prediction and that on average the renewable energy consumption is expected to growth of 2.61%.

Suggested Citation

  • Laureti, Lucio & Costantiello, Alberto & Leogrande, Angelo, 2022. "The Role of Renewable Energy Consumption in Promoting Sustainability and Circular Economy. A Data-Driven Analysis," MPRA Paper 115763, University Library of Munich, Germany, revised 25 Dec 2022.
    • Handle: RePEc:pra:mprapa:115763
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    References listed on IDEAS

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    1. Zhang, Mingming & Zhang, Shichang & Lee, Chien-Chiang & Zhou, Dequn, 2021. "Effects of trade openness on renewable energy consumption in OECD countries: New insights from panel smooth transition regression modelling," Energy Economics, Elsevier, vol. 104(C).
    2. Atif, Muhammad & Hossain, Mohammed & Alam, Md Samsul & Goergen, Marc, 2021. "Does board gender diversity affect renewable energy consumption?," Journal of Corporate Finance, Elsevier, vol. 66(C).
    3. Radmehr, Riza & Henneberry, Shida Rastegari & Shayanmehr, Samira, 2021. "Renewable Energy Consumption, CO2 Emissions, and Economic Growth Nexus: A Simultaneity Spatial Modeling Analysis of EU Countries," Structural Change and Economic Dynamics, Elsevier, vol. 57(C), pages 13-27.
    4. Bangake, Chrysost & Eggoh, Jude C., 2012. "Pooled Mean Group estimation on international capital mobility in African countries," Research in Economics, Elsevier, vol. 66(1), pages 7-17.
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    Cited by:

    1. Leogrande, Angelo & Costantiello, Alberto, 2023. "The Role of GDP Growth in the ESG Approach at World Level," MPRA Paper 117206, University Library of Munich, Germany.
    2. repec:osf:socarx:r56hu_v1 is not listed on IDEAS

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    JEL classification:

    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
    • Q50 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - General
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • Q52 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Pollution Control Adoption and Costs; Distributional Effects; Employment Effects
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

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