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Effects of energy-efficiency building codes in the energy savings and emissions of carbon dioxide

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  • Bishwa Koirala

  • Alok Bohara
  • Hui Li

Abstract

This study estimated the effects of energy-efficiency building codes—IECC 2003 and IECC 2006—in residential energy consumption, using the American Community Survey 2007. This study detected violations of the assumption of independence of observation, corrected them by applying a hierarchical estimation technique, and measured the state’s heterogeneity. We found that households can save about 1.8 % of electricity, 1.3 % of natural gas, and 2.8 % of heating oil with the application of these energy efficiency codes, with corresponding reductions in the emissions of the global warming gas, CO 2 of about 7.54 million metric tons per year if all homes apply these codes. For the pressing requirements of energy security and the limiting the emissions of CO 2 for climate change mitigation, these energy efficiency codes can be an effective environmental policy measure for residential sector. Copyright Springer Japan 2013

Suggested Citation

  • Bishwa Koirala & Alok Bohara & Hui Li, 2013. "Effects of energy-efficiency building codes in the energy savings and emissions of carbon dioxide," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 15(3), pages 271-290, July.
    • Handle: RePEc:spr:envpol:v:15:y:2013:i:3:p:271-290
    DOI: 10.1007/s10018-013-0054-x
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    1. Makram El-Shagi & Claus Michelsen & Sebastian Rosenschon, 2014. "Regulation, Innovation and Technology Diffusion: Evidence from Building Energy Efficiency Standards in Germany," Discussion Papers of DIW Berlin 1371, DIW Berlin, German Institute for Economic Research.
    2. Miriam Berretta & Joshua Furgeson & Collins Zamawe & Ian Hamilton & Yue Wu & Paul J. Ferraro & Neal Haddaway & John Eyers, 2021. "PROTOCOL: Residential energy efficiency interventions: An effectiveness systematic review," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(4), December.
    3. Michelsen, Claus & El-Shagi, Makram & Rosenschon, Sebastian, 2016. "The diffusion of "green'' buildings in the housing market: empirics on the long run effects of energy efficiency regulation," VfS Annual Conference 2016 (Augsburg): Demographic Change 145534, Verein für Socialpolitik / German Economic Association.
    4. repec:aen:journl:ej37-4-michelsen is not listed on IDEAS
    5. Bishwa S Koirala & Alok K Bohara, 2021. "Do energy efficiency building codes help minimize the efficiency gap in the U.S.? A dynamic panel data approach," Energy & Environment, , vol. 32(3), pages 506-518, May.
    6. Miriam Berretta & Joshua Furgeson & Yue (Nicole) Wu & Collins Zamawe & Ian Hamilton & John Eyers, 2021. "Residential energy efficiency interventions: A meta‐analysis of effectiveness studies," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(4), December.
    7. Dorothée Charlier & Bérangère Legendre, 2021. "Carbon Dioxide Emissions and Aging: Disentangling Behavior from Energy Efficiency," Post-Print hal-03877220, HAL.
    8. Wang, Xia & Feng, Wei & Cai, Weiguang & Ren, Hong & Ding, Chao & Zhou, Nan, 2019. "Do residential building energy efficiency standards reduce energy consumption in China? – A data-driven method to validate the actual performance of building energy efficiency standards," Energy Policy, Elsevier, vol. 131(C), pages 82-98.
    9. Koirala, Bishwa S. & Bohara, Alok K. & Berrens, Robert P., 2014. "Estimating the net implicit price of energy efficient building codes on U.S. households," Energy Policy, Elsevier, vol. 73(C), pages 667-675.
    10. Dorothée Charlier & Bérangère Legendre, 2020. "Carbon Dioxide Emissions and aging: Disentangling behavior from energy efficiency," Working Papers 2020.13, FAERE - French Association of Environmental and Resource Economists.
    11. Carolin Baedeker & Julius Piwowar & Philipp Themann & Viktor Grinewitschus & Benjamin Krisemendt & Katja Lepper & Christina Zimmer & Justus von Geibler, 2020. "Interactive Design to Encourage Energy Efficiency in Offices: Developing and Testing a User-Centered Building Management System Based on a Living Lab Approach," Sustainability, MDPI, vol. 12(17), pages 1-29, August.

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    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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