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Energy efficiency measures in buildings for achieving sustainable development goals

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  • Di Foggia, Giacomo

Abstract

Governments, worldwide, are committed to achieving sustainable development goals (SDGs). In a context where urban agglomerates consume roughly 80% of the global energy, of which buildings account for 40%, energy-efficient buildings can make a significant contribution to meeting SDGs 11 and 13. Currently, the implementation of energy efficiency measures (EEMs) in building is constrained by socioeconomic and technical barriers. Using empirical survey data, the drivers that affect both the supply of and demand for EEMs were identified. These drivers were then categorized within four clusters according to their importance in meeting supply and demand priorities. The following critical drivers were identified: standardization, low transaction costs, energy prices, and stability of the regulatory framework. The findings indicated that an effective energy policy provides consumers with reliable information and project developers with a stable regulatory environment. Investment behavior is rational and responsive to reliable information that prompts a switch toward sustainable building choices.

Suggested Citation

  • Di Foggia, Giacomo, 2018. "Energy efficiency measures in buildings for achieving sustainable development goals," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 4(11).
    • Handle: RePEc:zbw:espost:264448
    DOI: 10.1016/j.heliyon.2018.e00953
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    References listed on IDEAS

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    Cited by:

    1. Mohamed El-Sayed M. Essa & Ahmed M. El-shafeey & Amna Hassan Omar & Adel Essa Fathi & Ahmed Sabry Abo El Maref & Joseph Victor W. Lotfy & Mohamed Saleh El-Sayed, 2023. "Reliable Integration of Neural Network and Internet of Things for Forecasting, Controlling, and Monitoring of Experimental Building Management System," Sustainability, MDPI, vol. 15(3), pages 1-29, January.
    2. Deepak Sharma & Pravin Kumar & Rajesh Kumar Singh, 2024. "Framework for evaluating sustainability index of a manufacturing system: a case illustration," Operations Management Research, Springer, vol. 17(2), pages 569-595, June.
    3. Hossein Moayedi & Bao Le Van, 2022. "Feasibility of Harris Hawks Optimization in Combination with Fuzzy Inference System Predicting Heating Load Energy Inside Buildings," Energies, MDPI, vol. 15(23), pages 1-17, December.
    4. Massimo Beccarello & Giacomo Di Foggia, 2023. "Review and Perspectives of Key Decarbonization Drivers to 2030," Energies, MDPI, vol. 16(3), pages 1-13, January.
    5. Matteo Trane & Luisa Marelli & Alice Siragusa & Riccardo Pollo & Patrizia Lombardi, 2023. "Progress by Research to Achieve the Sustainable Development Goals in the EU: A Systematic Literature Review," Sustainability, MDPI, vol. 15(9), pages 1-37, April.
    6. Constantin C. Bungau & Francesca Ioana Hanga Prada & Tudor Bungau & Constantin Bungau & Gabriel Bendea & Marcela Florina Prada, 2023. "Web of Science Scientometrics on the Energy Efficiency of Buildings to Support Sustainable Construction Policies," Sustainability, MDPI, vol. 15(11), pages 1-27, May.

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    More about this item

    Keywords

    energy efficiency; energy policy; sdg; net zero; buildings; energy certificate;
    All these keywords.

    JEL classification:

    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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