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Designing Smart Energy Systems in an Industry 4.0 Paradigm towards Sustainable Environment

Author

Listed:
  • Giovanna Morelli

    (Faculty of Political Sciences, University of Teramo, 64100 Teramo, Italy)

  • Cosimo Magazzino

    (Department of Political Sciences, Roma Tre University, 00145 Rome, Italy)

  • Antonia Rosa Gurrieri

    (Department of Law, University of Foggia, 71121 Foggia, Italy)

  • Cesare Pozzi

    (Department of Economics, University of Foggia, 71122 Foggia, Italy)

  • Marco Mele

    (Department of Political Sciences, Roma Tre University, 00145 Rome, Italy)

Abstract

Among the Sustainable Development Goals, ‘Green Issues’ have attracted significant research on sustainability transitions and regional diversification. The introduction of green environmental technologies within the frame of the Fourth Industrial Revolution is crucial for the diversification of local, sustainable activities to protect the environment against negative climate changes. The present paper provides evidence of the positive correlation among green activities if, and only if, green culture and capabilities are robust and exist. Close international coordination is needed. We point out that smart energy-designed systems are a real revolution in the post-industrial society dominated by the service sectors. Therefore, promoting ‘intelligent’ meters is a robust policy action in world energy-based economies. We investigate the policy effects for smart meter rollout in European countries by testing this green policy tool on different economic literature strands. A theoretical model is introduced, showing that a sustainable and efficient policy instrument will reinforce and develop local green culture. The spatial unit of investigation is the EU-28, and it verifies the effectiveness of smart meters as a valid post-industrial design tool toward more sustainable environmental policies.

Suggested Citation

  • Giovanna Morelli & Cosimo Magazzino & Antonia Rosa Gurrieri & Cesare Pozzi & Marco Mele, 2022. "Designing Smart Energy Systems in an Industry 4.0 Paradigm towards Sustainable Environment," Sustainability, MDPI, vol. 14(6), pages 1-20, March.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:6:p:3315-:d:769304
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    as
    1. Schot, Johan & Kanger, Laur, 2018. "Deep transitions: Emergence, acceleration, stabilization and directionality," Research Policy, Elsevier, vol. 47(6), pages 1045-1059.
    2. Schultz, P. Wesley & Estrada, Mica & Schmitt, Joseph & Sokoloski, Rebecca & Silva-Send, Nilmini, 2015. "Using in-home displays to provide smart meter feedback about household electricity consumption: A randomized control trial comparing kilowatts, cost, and social norms," Energy, Elsevier, vol. 90(P1), pages 351-358.
    3. Ron Boschma, 2017. "Relatedness as driver of regional diversification: a research agenda," Regional Studies, Taylor & Francis Journals, vol. 51(3), pages 351-364, March.
    4. Di Castelnuovo, Matteo & Fumagalli, Elena, 2013. "An assessment of the Italian smart gas metering program," Energy Policy, Elsevier, vol. 60(C), pages 714-721.
    5. William Nordhaus, 2019. "Climate Change: The Ultimate Challenge for Economics," American Economic Review, American Economic Association, vol. 109(6), pages 1991-2014, June.
    6. Luis Miguel Fonseca & José Pedro Domingues & Alina Mihaela Dima, 2020. "Mapping the Sustainable Development Goals Relationships," Sustainability, MDPI, vol. 12(8), pages 1-15, April.
    7. Lars Coenen & Bernhard Truffer, 2012. "Places and Spaces of Sustainability Transitions: Geographical Contributions to an Emerging Research and Policy Field," European Planning Studies, Taylor & Francis Journals, vol. 20(3), pages 367-374, March.
    8. Opresnik, David & Taisch, Marco, 2015. "The value of Big Data in servitization," International Journal of Production Economics, Elsevier, vol. 165(C), pages 174-184.
    9. Marco Savastano & Carlo Amendola & Francesco Bellini & Fabrizio D’Ascenzo, 2019. "Contextual Impacts on Industrial Processes Brought by the Digital Transformation of Manufacturing: A Systematic Review," Sustainability, MDPI, vol. 11(3), pages 1-38, February.
    10. Luca Di Simone & Barbara Petracci & Mariacristina Piva, 2022. "Economic Sustainability, Innovation, and the ESG Factors: An Empirical Investigation," Sustainability, MDPI, vol. 14(4), pages 1-16, February.
    11. de Sousa Jabbour, Ana Beatriz Lopes & Jabbour, Charbel Jose Chiappetta & Foropon, Cyril & Godinho Filho, Moacir, 2018. "When titans meet – Can industry 4.0 revolutionise the environmentally-sustainable manufacturing wave? The role of critical success factors," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 18-25.
    12. Haegeman, Karel & Marinelli, Elisabetta & Scapolo, Fabiana & Ricci, Andrea & Sokolov, Alexander, 2013. "Quantitative and qualitative approaches in Future-oriented Technology Analysis (FTA): From combination to integration?," Technological Forecasting and Social Change, Elsevier, vol. 80(3), pages 386-397.
    13. Barbieri, Nicolò & Marzucchi, Alberto & Rizzo, Ugo, 2020. "Knowledge sources and impacts on subsequent inventions: Do green technologies differ from non-green ones?," Research Policy, Elsevier, vol. 49(2).
    14. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9-10), pages 1082-1095, October.
    15. Ron Boschma, 2017. "Relatedness as driver behind regional diversification: a research agenda," Papers in Evolutionary Economic Geography (PEEG) 1702, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jan 2017.
    16. Mbungu, Nsilulu T. & Bansal, Ramesh C. & Naidoo, Raj M. & Bettayeb, Maamar & Siti, Mukwanga W. & Bipath, Minnesh, 2020. "A dynamic energy management system using smart metering," Applied Energy, Elsevier, vol. 280(C).
    17. Krishnamurti, Tamar & Schwartz, Daniel & Davis, Alexander & Fischhoff, Baruch & de Bruin, Wändi Bruine & Lave, Lester & Wang, Jack, 2012. "Preparing for smart grid technologies: A behavioral decision research approach to understanding consumer expectations about smart meters," Energy Policy, Elsevier, vol. 41(C), pages 790-797.
    18. Torriti, Jacopo & Hassan, Mohamed G. & Leach, Matthew, 2010. "Demand response experience in Europe: Policies, programmes and implementation," Energy, Elsevier, vol. 35(4), pages 1575-1583.
    19. D. Harrison McKnight & Vivek Choudhury & Charles Kacmar, 2002. "Developing and Validating Trust Measures for e-Commerce: An Integrative Typology," Information Systems Research, INFORMS, vol. 13(3), pages 334-359, September.
    20. Nicola Bellantuono & Angela Nuzzi & Pierpaolo Pontrandolfo & Barbara Scozzi, 2021. "Digital Transformation Models for the I4.0 Transition: Lessons from the Change Management Literature," Sustainability, MDPI, vol. 13(23), pages 1-40, November.
    21. Jeffrey G. York & Michael J. Lenox, 2014. "Exploring the sociocultural determinants of de novo versus de alio entry in emerging industries," Strategic Management Journal, Wiley Blackwell, vol. 35(13), pages 1930-1951, December.
    22. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9), pages 1082-1095.
    23. Carlo Corradini, 2019. "Location determinants of green technological entry: evidence from European regions," Small Business Economics, Springer, vol. 52(4), pages 845-858, April.
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