IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v52y2013icp706-715.html
   My bibliography  Save this article

Intervention strategy to stimulate energy-saving behavior of local residents

Author

Listed:
  • Han, Q.
  • Nieuwenhijsen, I.
  • de Vries, B.
  • Blokhuis, E.
  • Schaefer, W.

Abstract

This study investigates intervention strategy in stimulating energy-saving behavior to achieve energy neutral urban development. A tree structure overview of potential interventions classified into three categories is revealed. An integrated behaviour model is developed reflecting the relations between behaviour and influence factors. A latent class model is used to identify segments of local residents who differ regarding their preferences for interventions. Data are collected from a sample of residents in the Eindhoven region of the Netherlands in 2010. The results indicate that social-demographic characteristics, knowledge, motivation and context factors play important roles in energy-saving behaviour. Specifically, four segments of residents in the study area were identified that clearly differed in their preferences of interventions: cost driven residents, conscious residents, ease driven residents and environment minded residents. These findings emphasize that the intervention strategy should be focused on specific target groups to have the right mixture of interventions to achieve effective results on stimulating them to save energy.

Suggested Citation

  • Han, Q. & Nieuwenhijsen, I. & de Vries, B. & Blokhuis, E. & Schaefer, W., 2013. "Intervention strategy to stimulate energy-saving behavior of local residents," Energy Policy, Elsevier, vol. 52(C), pages 706-715.
    • Handle: RePEc:eee:enepol:v:52:y:2013:i:c:p:706-715
    DOI: 10.1016/j.enpol.2012.10.031
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421512008890
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.enpol.2012.10.031?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. William Greene, 2001. "Fixed and Random Effects in Nonlinear Models," Working Papers 01-01, New York University, Leonard N. Stern School of Business, Department of Economics.
    2. Vringer, Kees & Blok, Kornelis, 1995. "The direct and indirect energy requirements of households in the Netherlands," Energy Policy, Elsevier, vol. 23(10), pages 893-910, October.
    3. Swait, Joffre & Adamowicz, Wiktor, 2001. "The Influence of Task Complexity on Consumer Choice: A Latent Class Model of Decision Strategy Switching," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 28(1), pages 135-148, June.
    4. Abrahamse, Wokje & Steg, Linda, 2009. "How do socio-demographic and psychological factors relate to households' direct and indirect energy use and savings?," Journal of Economic Psychology, Elsevier, vol. 30(5), pages 711-720, October.
    5. Poortinga, Wouter & Steg, Linda & Vlek, Charles & Wiersma, Gerwin, 2003. "Household preferences for energy-saving measures: A conjoint analysis," Journal of Economic Psychology, Elsevier, vol. 24(1), pages 49-64, February.
    6. Peter Boxall & Wiktor Adamowicz, 2002. "Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(4), pages 421-446, December.
    7. Berkhout, Peter H. G. & Muskens, Jos C. & W. Velthuijsen, Jan, 2000. "Defining the rebound effect," Energy Policy, Elsevier, vol. 28(6-7), pages 425-432, June.
    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. Yongliang Yang & Yiyang Guo & Suqing Luo, 2020. "Consumers’ Intention and Cognition for Low-Carbon Behavior: A Case Study of Hangzhou in China," Energies, MDPI, vol. 13(21), pages 1-19, November.
    2. Liu, Chang & Lin, Boqiang, 2020. "Is increasing-block electricity pricing effectively carried out in China? A case study in Shanghai and Shenzhen," Energy Policy, Elsevier, vol. 138(C).
    3. Ting Yue & Ruyin Long & Junli Liu & Haiwen Liu & Hong Chen, 2019. "Empirical Study on Households’ Energy-Conservation Behavior of Jiangsu Province in China: The Role of Policies and Behavior Results," IJERPH, MDPI, vol. 16(6), pages 1-16, March.
    4. Ting Yue & Qianru Wang & Ruyin Long & Hong Chen & Mengting Li & Haiwen Liu, 2022. "Impact of Urban Residents’ Environmental Cognition on Voluntary Carbon-Reduction Behavior: The Mediating Role of Environmental Emotion," IJERPH, MDPI, vol. 19(23), pages 1-14, November.
    5. Sebastian Hoffmann & Fabian Adelt & Johannes Weyer, 2020. "Modelling End-User Behavior and Behavioral Change in Smart Grids. An Application of the Model of Frame Selection," Energies, MDPI, vol. 13(24), pages 1-26, December.
    6. Anders Dalén & Jan Krämer, 2017. "Towards a User-Centered Feedback Design for Smart Meter Interfaces to Support Efficient Energy-Use Choices," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 59(5), pages 361-373, October.
    7. Yiqing Zhao & Renata Korsakienė & Hasan Dinçer & Serhat Yüksel, 2022. "Identifying Significant Points of Energy Culture for Developing Sustainable Energy Investments," SAGE Open, , vol. 12(1), pages 21582440221, March.
    8. Aichun Jiang & Qian Zhong & Yan Wang & Yibin Ao & Chuan Chen, 2021. "Influencing Factors of Commercial Energy Consumption Intention of Rural Residents: Evidence from Rural Chengdu," Energies, MDPI, vol. 14(4), pages 1-15, February.
    9. Barjak, F. & Lindeque, J. & Koch, J. & Soland, M., 2022. "Segmenting household electricity customers with quantitative and qualitative approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    10. Wallis, Hannah & Nachreiner, Malte & Matthies, Ellen, 2016. "Adolescents and electricity consumption; Investigating sociodemographic, economic, and behavioural influences on electricity consumption in households," Energy Policy, Elsevier, vol. 94(C), pages 224-234.
    11. Sylwia Słupik & Joanna Kos-Łabędowicz & Joanna Trzęsiok, 2021. "Are You a Typical Energy Consumer? Socioeconomic Characteristics of Behavioural Segmentation Representatives of 8 European Countries," Energies, MDPI, vol. 14(19), pages 1-28, September.
    12. D’Oca, Simona & Hong, Tianzhen & Langevin, Jared, 2018. "The human dimensions of energy use in buildings: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 731-742.
    13. Guo, Ji & Xu, Yuanjing & Qu, Yao & Wang, Yiting & Wu, Xianhua, 2023. "Exploring factors affecting household energy consumption in the internet era: Empirical evidence from Chinese households," Energy Policy, Elsevier, vol. 183(C).
    14. Quaglione, Davide & Cassetta, Ernesto & Crociata, Alessandro & Sarra, Alessandro, 2017. "Exploring additional determinants of energy-saving behaviour: The influence of individuals' participation in cultural activities," Energy Policy, Elsevier, vol. 108(C), pages 503-511.
    15. Jin Zhang & Lianrui Ma & Jinkai Li, 2021. "Why Low-Carbon Publicity Effect Limits? The Role of Heterogeneous Intention in Reducing Household Energy Consumption," Energies, MDPI, vol. 14(22), pages 1-17, November.
    16. Al-Shemmeri, Tarik & Naylor, Lucy, 2017. "Energy saving in UK FE colleges: The relative importance of the socio-economic groups and environmental attitudes of employees," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 1130-1143.
    17. Zhou, Kaile & Yang, Shanlin, 2016. "Understanding household energy consumption behavior: The contribution of energy big data analytics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 810-819.
    18. Véronique Vasseur & Anne-Francoise Marique & Vladimir Udalov, 2019. "A Conceptual Framework to Understand Households’ Energy Consumption," Energies, MDPI, vol. 12(22), pages 1-22, November.
    19. Shimoda, Yoshiyuki & Yamaguchi, Yohei & Iwafune, Yumiko & Hidaka, Kazuyoshi & Meier, Alan & Yagita, Yoshie & Kawamoto, Hisaki & Nishikiori, Soichi, 2020. "Energy demand science for a decarbonized society in the context of the residential sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    20. Salah Bouktif & Ali Ouni & Sanja Lazarova-Molnar, 2022. "Towards a Rigorous Consideration of Occupant Behaviours of Residential Households for Effective Electrical Energy Savings: An Overview," Energies, MDPI, vol. 15(5), pages 1-30, February.
    21. Sylwia Słupik & Joanna Kos-Łabędowicz & Joanna Trzęsiok, 2021. "An Innovative Approach to Energy Consumer Segmentation—A Behavioural Perspective. The Case of the Eco-Bot Project," Energies, MDPI, vol. 14(12), pages 1-26, June.
    22. Han, Myat Su & Cudjoe, Dan, 2020. "Determinants of energy-saving behavior of urban residents: Evidence from Myanmar," Energy Policy, Elsevier, vol. 140(C).
    23. Ranran Yang & Ruyin Long & Yu Bai & Lanlan Li, 2017. "The Influence of Household Heterogeneity Factors on the Green Travel Behavior of Urban Residents in the East China Region," Sustainability, MDPI, vol. 9(2), pages 1-17, February.
    24. Lydia Chu, 2023. "Why Do Consumers Buy Green Smart Buildings without Engaging in Energy-Saving Behaviors in the Workplace? The Perspective of Materialistic Value," Sustainability, MDPI, vol. 15(12), pages 1-9, June.
    25. Spandagos, Constantine & Baark, Erik & Ng, Tze Ling & Yarime, Masaru, 2021. "Social influence and economic intervention policies to save energy at home: Critical questions for the new decade and evidence from air-condition use," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).

    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. Aini, M.S. & Chan, S.C. & Syuhaily, O., 2013. "Predictors of technical adoption and behavioural change to transport energy-saving measures in response to climate change," Energy Policy, Elsevier, vol. 61(C), pages 1055-1062.
    2. Morgane Innocent & Agnès François-Lecompte & Nolwenn Roudaut, 2020. "Comparison of human versus technological support to reduce domestic electricity consumption in France," Post-Print hal-02450849, HAL.
    3. Boudet, Hilary S. & Flora, June A. & Armel, K. Carrie, 2016. "Clustering household energy-saving behaviours by behavioural attribute," Energy Policy, Elsevier, vol. 92(C), pages 444-454.
    4. Oikonomou, Vlasis & Rietbergen, Martijn & Patel, Martin, 2007. "An ex-ante evaluation of a White Certificates scheme in The Netherlands: A case study for the household sector," Energy Policy, Elsevier, vol. 35(2), pages 1147-1163, February.
    5. Guo Li & Wenling Liu & Zhaohua Wang & Mengqi Liu, 2017. "An empirical examination of energy consumption, behavioral intention, and situational factors: evidence from Beijing," Annals of Operations Research, Springer, vol. 255(1), pages 507-524, August.
    6. Mohamed, Ahmed M.A. & Al-Habaibeh, Amin & Abdo, Hafez & Elabar, Sherifa, 2015. "Towards exporting renewable energy from MENA region to Europe: An investigation into domestic energy use and householders’ energy behaviour in Libya," Applied Energy, Elsevier, vol. 146(C), pages 247-262.
    7. Nieves García-de-Frutos & José Manuel Ortega-Egea & Javier Martínez-del-Río, 2018. "Anti-consumption for Environmental Sustainability: Conceptualization, Review, and Multilevel Research Directions," Journal of Business Ethics, Springer, vol. 148(2), pages 411-435, March.
    8. Simona-Roxana Ulman & Costica Mihai & Cristina Cautisanu, 2020. "Peculiarities of the Relation between Human and Environmental Wellbeing in Different Stages of National Development," Sustainability, MDPI, vol. 12(19), pages 1-26, October.
    9. Kendel, Adnane & Lazaric, Nathalie & Maréchal, Kevin, 2017. "What do people ‘learn by looking’ at direct feedback on their energy consumption? Results of a field study in Southern France," Energy Policy, Elsevier, vol. 108(C), pages 593-605.
    10. Felipe Encinas & Carlos Marmolejo-Duarte & Elizabeth Wagemann & Carlos Aguirre, 2019. "Energy-Efficient Real Estate or How It Is Perceived by Potential Homebuyers in Four Latin American Countries," Sustainability, MDPI, vol. 11(13), pages 1-24, June.
    11. Su, Yu-Wen, 2019. "Residential electricity demand in Taiwan: Consumption behavior and rebound effect," Energy Policy, Elsevier, vol. 124(C), pages 36-45.
    12. Thøgersen, John & Grønhøj, Alice, 2010. "Electricity saving in households--A social cognitive approach," Energy Policy, Elsevier, vol. 38(12), pages 7732-7743, December.
    13. Xuan Liu & Qiancheng Wang & Hsi-Hsien Wei & Hung-Lin Chi & Yaotian Ma & Izzy Yi Jian, 2020. "Psychological and Demographic Factors Affecting Household Energy-Saving Intentions: A TPB-Based Study in Northwest China," Sustainability, MDPI, vol. 12(3), pages 1-20, January.
    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. Gordon, Ross & Dibb, Sally & Magee, Christopher & Cooper, Paul & Waitt, Gordon, 2018. "Empirically testing the concept of value-in-behavior and its relevance for social marketing," Journal of Business Research, Elsevier, vol. 82(C), pages 56-67.
    16. Theo Arentze & Astrid Kemperman & Petr Aksenov, 2018. "Estimating a latent-class user model for travel recommender systems," Information Technology & Tourism, Springer, vol. 19(1), pages 61-82, June.
    17. Ali Ardeshiri & Joffre Swait & Elizabeth C. Heagney & Mladen Kovac, 2019. "Preserve or retreat? Willingness-to-pay for Coastline Protection in New South Wales," Papers 1902.03310, arXiv.org.
    18. Ivan Tilov & Benjamin Volland & Mehdi Farsi, 2017. "Interactions in Swiss Households' Energy Demand: A Holistic Approach," IRENE Working Papers 17-11, IRENE Institute of Economic Research.
    19. Adamowicz, Wiktor & Dupont, Diane & Krupnick, Alan & Zhang, Jing, 2011. "Valuation of cancer and microbial disease risk reductions in municipal drinking water: An analysis of risk context using multiple valuation methods," Journal of Environmental Economics and Management, Elsevier, vol. 61(2), pages 213-226, March.
    20. Innocent, Morgane & Francois-Lecompte, Agnes & Roudaut, Nolwenn, 2020. "Comparison of human versus technological support to reduce domestic electricity consumption in France," Technological Forecasting and Social Change, Elsevier, vol. 150(C).

    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:52:y:2013:i:c:p:706-715. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    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.