The Relationship between the Factors Influencing Energy-Saving Behaviors in Households in Urban Vietnam

Nguyen Thanh Tung, Do Anh Tuan


Research on energy-saving intentions (EI) and behaviors will provide appropriate policies to help raise the awareness of energy saving in households. Therefore, the present study assesses the factors influencing energy-saving intentions and behaviors in urban households. The authors evaluated 1037 samples gathered from homes in the Hanoi metropolitan region of Vietnam by utilizing a questionnaire to survey and household interviews based on the theory of planned behavior (TPB) and multivariate analytic techniques (scale reliability test, factor confirmation analysis). The Partial Least Squares – Structural Equation Modeling (PLS-SEM) model has shown that energy-saving awareness (EA) and situational factors (SF) both have strong influences on energy-saving behaviors (EB). In particular, the situational factor has a stronger impact on energy-saving behavior than the energy-saving awareness factor. As a result, the factor of energy-saving awareness plays an important role in shaping energy-saving intention and orientation of energy-saving behaviors. Moreover, energy-saving intention acts as an intermediary among factors that impact energy-saving behaviors. Consequently, numerous policies have been proposed to help raise the awareness of energy saving for urban households. Households need to adopt a more environment-friendly lifestyle. The results of this study shall be the theoretical base for other research in Vietnam about energy-saving behavior.


Energy-saving awareness; Energy-saving behavior; Energy-saving intention; Situational factors; Structural Equation Model;

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World Bank, 2020, Overview Vietnam, world wide web:

Ajzen I., 1991. The theory of planned behavior. Organizational Behavior and Human Decision Processes 50(2): 179-211.

Al-Shemmeri T., and L. Naylor. 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 68: 1130-1143.

Belaïd F. and H. Joumni. 2020. Behavioral attitudes towards energy saving: Empirical evidence from France. Energy Policy 140: 111-406.

Qian C., Yu D., Georgescu M., Han Z., and Wu. J., 2015. Impacts of land use and land cover change on regional climate: a case study in the agro-pastoral transitional zone of China. Environmental Research Letters 10(12): 124025.

Chen Y.S. and C.H. Chang. 2012. Enhance green purchase intentions: The roles of green perceived value, green perceived risk, and green trust. Management Decision 50(3):502-520.

Dillman D.A., Rosa E.A., and Dillman J.J., 1983. Lifestyle and home energy conservation in the United States: the poor accept lifestyle cutbacks while the wealthy invest in conservation. Journal of Economic Psychology 3(3-4): 299-315.

Ding Z., Wang G., Liu Z., and Long R., 2017. Research on differences in the factors influencing the energy-saving behavior of urban and rural residents in China–A case study of Jiangsu Province. Energy Policy 100: 252-259.

Fishbein M. and I. Ajzen. 1977. Belief, attitude, intention, and behavior: An introduction to theory and research. Philosophy and Rhetoric 10(2).

Frederiks E.R, Stenner K., and Hobman E.V, 2015. Household energy use: Applying behavioural economics to understand consumer decision-making and behaviour. Renewable and Sustainable Energy Reviews 41: 1385-1394.

Gärling T., Fujii S., Gärling A., and Cecilia J.B., 2003. Moderating effects of social value orientation on determinants of proenvironmental behavior intention. Journal of Environmental Psychology 23(1): 1-9.

Gaspar R., and Antunes D., 2011. Energy efficiency and appliance purchases in Europe: Consumer profiles and choice determinants. Energy Policy 39(11): 7335-7346.

Gleim, M.R., Smith J.S., Andrews D., and Cronin J.J., 2013. Against the green: A multi-method examination of the barriers to green consumption. Journal of Retailing 89(1): 44-61.

Hair J.F., Sarstedt, Marko S., Hopkins, L., and Kuppelwieser, V.G., 2014. Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review 26(2).

Hamrin, J, 1979. Energy-saving homes-Dont bet on technology alone. Psychology Today 12(11): 18.

Han M.S. and D. Cudjoe. 2020. Determinants of energy-saving behavior of urban residents: Evidence from Myanmar. Energy Policy 140(C): 111405.

Hiller C., 2015. Factors influencing residents’ energy use - A study of energy-related behaviour in 57 Swedish homes. Energy and Buildings 87: 243-252.

Hori S., Kondo K., Nogata D., and Ben H., 2013. The determinants of household energy-saving behavior: Survey and comparison in five major Asian cities. Energy Policy 52: 354-362.

Kristina E. and P. Söderholm. 2010. The devil is in the details: Household electricity saving behavior and the role of information. Energy Policy 38(3): 1578-1587.

Li D., Xu X., Chen C.F., and Menassa C., 2019. Understanding energy-saving behaviors in the american workplace: a unified theory of motivation, opportunity, and ability. Energy Research and Social Science 51: 198-209.

Lopes M.A.R., Antunes C.H., and Martins N., 2012. Energy behaviours as promoters of energy efficiency: A 21st century review. Renewable and Sustainable Energy Reviews 16(6): 4095-4104.

Martinsson J., Lundqvist L.J., and Sundström A., 2011. Energy saving in Swedish households. The (relative) importance of environmental attitudes. Energy Policy 39(9): 5182-5191.

Mizobuchi K. and K. Takeuchi. 2013. The influences of financial and non-financial factors on energy-saving behaviour: A field experiment in Japan. Energy Policy 63: 775-787.

Rai V. and A.L Beck. 2015. Public perceptions and information gaps in solar energy in Texas. Environmental Research Letters 10(7): 074011.

Read D.L., Brown R.F., Thorsteinsson E.B., Morgan M., and Price I., 2013. The theory of planned behaviour as a model for predicting public opposition to wind farm developments. Journal of Environmental Psychology 36: 70-76.

Reisinger Y. and L. Turner. 1999. Structural equation modeling with Lisrel: application in tourism. Tourism Management 20(1): 71-88.

Ru X., Wang S., and Yan S., 2018. Exploring the effects of normative factors and perceived behavioral control on individual’s energy-saving intention: An empirical study in eastern China. Resources, Conservation and Recycling 134: 91-99.

Safriel U.N. and D. Lavee. 1988. Weight changes of cross-desert migrants at an oasis—do energetic considerations alone determine the length of stopover? Oecologia 76(4): 611-619.

Tabachnick B.G., Fidell L.S., and Ullman J.B., 2007.Using Multivariate Statistics, Vol. 5, Pearson Boston, MA.

Thanh Nguyen T., Trung Duong Kien., and Anh Do T., 2021. Situational factor affecting energy-saving behavior in direct approaches in Hanoi City. The role of socio-demographics. Cogent Psychology 8(1): 1978634.

Werff E.V.D. and L. Steg. 2015. One model to predict them all: Predicting energy behaviours with the norm activation model. Energy Research and Social Science 6: 8-14.

Van Raaij W F. and T.M.M. Verhallen. 1983. A behavioral model of residential energy use. Journal of Economic Psychology 3(1): 39-63.

Wang B., Wang X., Guo D., Zhang B., and Wang Z., 2018. Analysis of factors influencing residents’ habitual energy-saving behaviour based on NAM and TPB models: Egoism or altruism? Energy Policy 116: 68-77.

Wang Z., Zhang B., and Li G., 2014. Determinants of energy-saving behavioral intention among residents in Beijing: Extending the theory of planned behavior. Journal of Renewable and Sustainable Energy 6(5): 053-127.

Wang Z., Zhang B., Yin J., and Zhang Y., 2011. Determinants and policy implications for household electricity-saving behaviour: Evidence from Beijing, China. Energy Policy 39(6): 3550-3557.

Webb D., Soutar G.N., Mazzarol T., and Saldaris P., 2013. Self-determination theory and consumer behavioural change: Evidence from a household energy-saving behaviour study. Journal of Environmental Psychology 35: 59-66.

Yang S., Zhang Y., and Zhao D., 2016. Who exhibits more energy-saving behavior in direct and indirect ways in China? The role of psychological factors and socio-demographics. Energy Policy 93: 196-205.

Yue T., Long R., and Chen H., 2013. Factors influencing energy-saving behavior of urban households in Jiangsu Province. Energy Policy, 62: 665-675.

Zhang C.Y., Yu B., Wang J.W., and Wei Y.M., 2018. Impact factors of household energy-saving behavior: An empirical study of Shandong Province in China. Journal of Cleaner Production 185: 285-298.