IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v82y2015icp166-177.html
   My bibliography  Save this article

Energy engenderment: An industrialized perspective assessing the importance of engaging women in residential energy consumption management

Author

Listed:
  • Elnakat, Afamia
  • Gomez, Juan D.

Abstract

This study assesses gender role and participation in energy utilization at the residential household level in an advanced industrial country setting. Two hundred and twenty one (221) standardized surveys of single-family residential households in San Antonio, Texas – the seventh largest city in the United States of America – are collected and used as a test case. The objective is to highlight the role of women in improving household energy efficiency. By coupling the behavioral and analytical sciences, studies such as this one provide better insight for the effective deployment of targeted energy efficiency programs that can benefit both households and municipalities while reducing impact on environmental resources. Study conclusions highlight 80% higher per capita consumption in female dominant households versus male dominant households (p=0.000) driven by approximately double the gas consumption in female-headed households (p=0.002), and 54% more electric usage (p=0.004). The higher use in female dominant homes is examined through the socio-demographic impacts of education, income, vintage of home occupied and size of home occupied. The theoretical framework and test case presented in this study promote the need for market segmented energy efficiency initiatives that better engage women in energy demand-side management in industrialized populated cities.

Suggested Citation

  • Elnakat, Afamia & Gomez, Juan D., 2015. "Energy engenderment: An industrialized perspective assessing the importance of engaging women in residential energy consumption management," Energy Policy, Elsevier, vol. 82(C), pages 166-177.
  • Handle: RePEc:eee:enepol:v:82:y:2015:i:c:p:166-177
    DOI: 10.1016/j.enpol.2015.03.014
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421515001202
    Download Restriction: Full text for ScienceDirect subscribers only

    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. Peter McDonald, 2000. "Gender Equity in Theories of Fertility Transition," Population and Development Review, The Population Council, Inc., vol. 26(3), pages 427-439, September.
    2. Carlsson-Kanyama, Annika & Linden, Anna-Lisa, 2007. "Energy efficiency in residences--Challenges for women and men in the North," Energy Policy, Elsevier, vol. 35(4), pages 2163-2172, April.
    3. Lutzenhiser, Loren, 1992. "A cultural model of household energy consumption," Energy, Elsevier, vol. 17(1), pages 47-60.
    4. Kavousian, Amir & Rajagopal, Ram & Fischer, Martin, 2013. "Determinants of residential electricity consumption: Using smart meter data to examine the effect of climate, building characteristics, appliance stock, and occupants' behavior," Energy, Elsevier, vol. 55(C), pages 184-194.
    5. Brounen, Dirk & Kok, Nils & Quigley, John M., 2012. "Residential energy use and conservation: Economics and demographics," European Economic Review, Elsevier, vol. 56(5), pages 931-945.
    6. Yue, Ting & Long, Ruyin & Chen, Hong, 2013. "Factors influencing energy-saving behavior of urban households in Jiangsu Province," Energy Policy, Elsevier, vol. 62(C), pages 665-675.
    7. Manley, Dawn K. & Hines, Valerie A. & Jordan, Matthew W. & Stoltz, Ronald E., 2013. "A survey of energy policy priorities in the United States: Energy supply security, economics, and the environment," Energy Policy, Elsevier, vol. 60(C), pages 687-696.
    8. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9-10), pages 1082-1095, October.
    9. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9), pages 1082-1095.
    10. D’Agostino, Anthony Louis & Sovacool, Benjamin K. & Trott, Kirsten & Ramos, Catherine Regalado & Saleem, Saleena & Ong, Yanchun, 2011. "What’s the state of energy studies research?: A content analysis of three leading journals from 1999 to 2008," Energy, Elsevier, vol. 36(1), pages 508-519.
    11. Farhar, Barbara C., 1998. "Gender and renewable energy: Policy, analysis, and market implications," Renewable Energy, Elsevier, vol. 15(1), pages 230-239.
    12. Wilhite, Harold & Nakagami, Hidetoshi & Masuda, Takashi & Yamaga, Yukiko & Haneda, Hiroshi, 1996. "A cross-cultural analysis of household energy use behaviour in Japan and Norway," Energy Policy, Elsevier, vol. 24(9), pages 795-803, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Alfonso Carfora & Monica Ronghi & Giuseppe Scandurra, 2017. "The effect of Climate Finance on Greenhouse Gas Emission: A Quantile Regression Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 7(1), pages 185-199.
    2. Wei, Jia & Chen, Hong & Cui, Xiaotong & Long, Ruyin, 2016. "Carbon capability of urban residents and its structure: Evidence from a survey of Jiangsu Province in China," Applied Energy, Elsevier, vol. 173(C), pages 635-649.
    3. Ponce de Leon Barido, Diego & Suffian, Stephen & Kammen, Daniel M. & Callaway, Duncan, 2018. "Opportunities for behavioral energy efficiency and flexible demand in data-limited low-carbon resource constrained environments," Applied Energy, Elsevier, vol. 228(C), pages 512-523.
    4. Schmitz, Hendrik & Madlener, Reinhard, 2016. "Heterogeneity in Price Responsiveness for Residential Space Heating in Germany," FCN Working Papers 5/2015, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), revised Nov 2016.
    5. Qianwen Li & Ruyin Long & Hong Chen & Jichao Geng, 2017. "Low Purchase Willingness for Battery Electric Vehicles: Analysis and Simulation Based on the Fault Tree Model," Sustainability, MDPI, Open Access Journal, vol. 9(5), pages 1-20, May.

    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:eee:enepol:v:82:y:2015:i:c:p:166-177. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Haili He). General contact details of provider: http://www.elsevier.com/locate/enpol .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.