IDEAS home Printed from https://ideas.repec.org/p/kbb/dpaper/2015-10.html
   My bibliography  Save this paper

An Analysis of Household Electricity Saving Behavior Using the Stochastic Frontier Function

Author

Listed:
  • Fumitoshi Mizutani

    (Graduate School of Business Administration, Kobe University)

  • Eri Nakamura

    (Graduate School of Business Administration, Kobe University)

Abstract

The main purpose of this study is to investigate the difference between incentive effects and physical condition effects in electricity saving behaviors of households, by applying stochastic frontier models for the demand function. As for incentives, we consider both internal incentives such as environmental consciousness, and external incentives such as the price system and information feedback. This paper makes three contributions to the existing literature. First, we consider the difference in room for saving electricity among households by labeling in this paper the amount of electricity consumption which is possible to be reduced for energy saving as "consumption slack" (i.e. incentive effects), which we separate from the minimum necessary amount of consumption impossible to be reduced for energy saving (i.e. physical condition effects). Our second contribution is that we take the novel approach of using the stochastic frontier model to distinguish the reducible amount from the minimum necessary amount of electricity consumed among households. Last, we empirically examine which of the internal or external incentives are more effective in reducing household electricity consumption. Using data on 561 Japanese households in 2012, we obtain the following results. Consciousness of consumption is more important to electricity saving than external incentives such as demand response and information feedback. Without such consciousness, demand response alone increases consumption slack. Conversely, demand response can reduce consumption slack when combined with a household's conscious saving. Other findings indicate that in evaluating saving performance, it is necessary to refer to consumption slack rather than to households' self-evaluation or the observed total amount of consumption.

Suggested Citation

  • Fumitoshi Mizutani & Eri Nakamura, 2015. "An Analysis of Household Electricity Saving Behavior Using the Stochastic Frontier Function," Discussion Papers 2015-10, Kobe University, Graduate School of Business Administration.
  • Handle: RePEc:kbb:dpaper:2015-10
    as

    Download full text from publisher

    File URL: https://www.b.kobe-u.ac.jp/papers_files/2015_10.pdf
    File Function: First version, 2015
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wang, Zhaohua & Zhang, Bin & Yin, Jianhua & Zhang, Yixiang, 2011. "Determinants and policy implications for household electricity-saving behaviour: Evidence from Beijing, China," Energy Policy, Elsevier, vol. 39(6), pages 3550-3557, June.
    2. Ahmad Faruqui & Sanem Sergici, 2011. "Dynamic pricing of electricity in the mid-Atlantic region: econometric results from the Baltimore gas and electric company experiment," Journal of Regulatory Economics, Springer, vol. 40(1), pages 82-109, August.
    3. Miranowski, John & Dinan, T., 1989. "Estimating the Implicit Price of Energy Efficiency Improvement in the Residential Housing Market: A Hedonic Approach," Staff General Research Papers Archive 10698, Iowa State University, Department of Economics.
    4. Awad Momani, Mohammad & Yatim, Baharudin & Ali, Mohd Alauddin Mohd, 2009. "The impact of the daylight saving time on electricity consumption--A case study from Jordan," Energy Policy, Elsevier, vol. 37(5), pages 2042-2051, May.
    5. Herter, Karen & Wayland, Seth, 2010. "Residential response to critical-peak pricing of electricity: California evidence," Energy, Elsevier, vol. 35(4), pages 1561-1567.
    6. Katrina Jessoe & David Rapson, 2014. "Knowledge Is (Less) Power: Experimental Evidence from Residential Energy Use," American Economic Review, American Economic Association, vol. 104(4), pages 1417-1438, April.
    7. Dinan, Terry M. & Miranowski, John A., 1989. "Estimating the implicit price of energy efficiency improvements in the residential housing market: A hedonic approach," Journal of Urban Economics, Elsevier, vol. 25(1), pages 52-67, January.
    8. Faruqui, Ahmad & George, Stephen, 2005. "Quantifying Customer Response to Dynamic Pricing," The Electricity Journal, Elsevier, vol. 18(4), pages 53-63, May.
    9. Rosen, Sherwin, 1974. "Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition," Journal of Political Economy, University of Chicago Press, vol. 82(1), pages 34-55, Jan.-Feb..
    10. Ahmad Faruqui, Sanem Sergici, and Lamine Akaba, 2014. "The Impact of Dynamic Pricing on Residential and Small Commercial and Industrial Usage: New Experimental Evidence from Connecticut," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    11. Dianshu, Feng & Sovacool, Benjamin K. & Minh Vu, Khuong, 2010. "The barriers to energy efficiency in China: Assessing household electricity savings and consumer behavior in Liaoning Province," Energy Policy, Elsevier, vol. 38(2), pages 1202-1209, February.
    12. Thøgersen, John & Grønhøj, Alice, 2010. "Electricity saving in households--A social cognitive approach," Energy Policy, Elsevier, vol. 38(12), pages 7732-7743, December.
    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. Wang, Xia & Ding, Chao & Cai, Weiguang & Luo, Lizi & Chen, Mingman, 2021. "Identifying household cooling savings potential in the hot summer and cold winter climate zone in China: A stochastic demand frontier approach," Energy, Elsevier, vol. 237(C).
    2. Wang, Xia & Ding, Chao & Zhou, Mao & Cai, Weiguang & Ma, Xianrui & Yuan, Jiachen, 2023. "Assessment of space heating consumption efficiency based on a household survey in the hot summer and cold winter climate zone in China," Energy, Elsevier, vol. 274(C).
    3. Yu, Yihua & Guo, Jin, 2016. "Identifying electricity-saving potential in rural China: Empirical evidence from a household survey," Energy Policy, Elsevier, vol. 94(C), pages 1-9.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yu, Yihua & Guo, Jin, 2016. "Identifying electricity-saving potential in rural China: Empirical evidence from a household survey," Energy Policy, Elsevier, vol. 94(C), pages 1-9.
    2. Fumitoshi Mizutani & Takuro Tanaka & Eri Nakamura, 2015. "The Effect of Demand Response on Electricity Consumption in Japan," Discussion Papers 2015-02, Kobe University, Graduate School of Business Administration.
    3. Eri Nakamura & Fumitoshi Mizutani, 2019. "Necessary demand and extra demand of public utility product: identification using the stochastic frontier model," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 46(1), pages 45-64, March.
    4. Evangelista, Rui & Ramalho, Esmeralda A. & Andrade e Silva, João, 2020. "On the use of hedonic regression models to measure the effect of energy efficiency on residential property transaction prices: Evidence for Portugal and selected data issues," Energy Economics, Elsevier, vol. 86(C).
    5. Taruttis, Lisa & Weber, Christoph, 2020. "Estimating the impact of energy efficiency on housing prices in Germany: Does regional disparity matter?," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224582, Verein für Socialpolitik / German Economic Association.
    6. Uchenna N. Akpom, 1996. "Housing Attributes And The Cost Of Private Rental Buildings In Lagos Nigeria: A Hedonic Price Analysis," The Review of Regional Studies, Southern Regional Science Association, vol. 26(3), pages 351-365, Winter.
    7. Chegut, Andrea & Eichholtz, Piet & Holtermans, Rogier, 2016. "Energy efficiency and economic value in affordable housing," Energy Policy, Elsevier, vol. 97(C), pages 39-49.
    8. Konstantin A Kholodilin & Andreas Mense & Claus Michelsen, 2017. "The market value of energy efficiency in buildings and the mode of tenure," Urban Studies, Urban Studies Journal Limited, vol. 54(14), pages 3218-3238, November.
    9. Taruttis, Lisa & Weber, Christoph, 2022. "Estimating the impact of energy efficiency on housing prices in Germany: Does regional disparity matter?," Energy Economics, Elsevier, vol. 105(C).
    10. Andreas Mense, 2018. "The Value of Energy Efficiency and the Role of Expected Heating Costs," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(3), pages 671-701, November.
    11. Fuerst, Franz & Shimizu, Chihiro, 2016. "Green luxury goods? The economics of eco-labels in the Japanese housing market," Journal of the Japanese and International Economies, Elsevier, vol. 39(C), pages 108-122.
    12. de Ayala, Amaia & Galarraga, Ibon & Spadaro, Joseph V., 2016. "The price of energy efficiency in the Spanish housing market," Energy Policy, Elsevier, vol. 94(C), pages 16-24.
    13. Jiro Yoshida & Ayako Sugiura, 2015. "The Effects of Multiple Green Factors on Condominium Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 50(3), pages 412-437, April.
    14. 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.
    15. Hyland, Marie & Lyons, Ronan C. & Lyons, Seán, 2013. "The value of domestic building energy efficiency — evidence from Ireland," Energy Economics, Elsevier, vol. 40(C), pages 943-952.
    16. Fuerst, Franz & McAllister, Patrick & Nanda, Anupam & Wyatt, Peter, 2015. "Does energy efficiency matter to home-buyers? An investigation of EPC ratings and transaction prices in England," Energy Economics, Elsevier, vol. 48(C), pages 145-156.
    17. Takanori Ida & Wenjie Wang, 2014. "A Field Experiment on Dynamic Electricity Pricing in Los Alamos:Opt-in Versus Opt-out," Discussion papers e-14-010, Graduate School of Economics Project Center, Kyoto University.
    18. Fuerst, Franz & Oikarinen, Elias & Harjunen, Oskari, 2016. "Green signalling effects in the market for energy-efficient residential buildings," Applied Energy, Elsevier, vol. 180(C), pages 560-571.
    19. Lu Zhang & Lennart Stangenberg & Sjors van Wickeren, 2020. "The information value of energy labels: Evidence from the Dutch residential housing market," CPB Discussion Paper 413.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
    20. Felipe Encinas & Carlos Aguirre & Carlos Marmolejo-Duarte, 2018. "Sustainability Attributes in Real Estate Development: Private Perspectives on Advancing Energy Regulation in a Liberalized Market," Sustainability, MDPI, vol. 10(1), pages 1-26, January.

    More about this item

    Keywords

    Energy saving; Electricity; Stochastic frontier model; Demand response; Consumer behavior;
    All these keywords.

    JEL classification:

    • D1 - Microeconomics - - Household Behavior
    • M2 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics
    • L9 - Industrial Organization - - Industry Studies: Transportation and Utilities
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:kbb:dpaper:2015-10. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Yasuyuki Miyahara (email available below). General contact details of provider: https://edirc.repec.org/data/bskobjp.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.