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Relationship between education and households’ electricity-saving behaviour in South Africa: A multilevel logistic analysis
Author/s: Kabeya Clement Mulamba 
Year:  2020 Issue: Language: English 
Pages:  24 Pg. 51-74 FullText PDF:  471 KB
DOI:  10.3280/EFE2020-002003
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This paper examines the relationship between the education level of household heads and households’ energy-saving practices at the micro-level in South Africa. It uses the community survey of 2016 as data source. Multilevel logistic models are estimated to account for similari-ties between households in same municipalities. The results point to a significant and positive relationship between the education level of household heads and households’ energy-saving practices. One can therefore infer that a household whose head is educated is more likely to have light bulbs, switch off lights in the house when not in use, and switch off appliances at the wall (not with remotes) when not in use than households whose heads have no education. Therefore, education offers a tool to incentivise households to save electricity, which will also contribute indirectly to the effort of addressing the challenges of climate change, amongst oth-ers.
Keywords: Households’ electricity-saving, education, South Africa.
Jel Code: C31, D21, R21, Q4

  1. Abrahamse W., Steg L. (2009). How do socio-demographic and psychological factors relate to households’ direct and indirect energy use and savings? Journal of Economic Psychology, 30(5): 711-720.
  2. Banfi S., Farsi M., Filippini M., Jakob M. (2008). Willingness to pay for energy-saving measures in residential buildings. Energy Economics, 30(2): 503-516.
  3. Belaïd F., Garcia T. (2016). Understanding the spectrum of residential energy-saving behaviour: French evidence using disaggregated data. Energy Economics, 57: 204-214.
  4. Belaïd F., Joumni H. (2020). Behavioral attitudes towards energy saving: Empirical evidence from France. Energy Policy, 140: 111406.
  5. Belaïd F., Ben Youssef A., Omrani N. (2020). Investigating the factors shaping residential energy consumption patterns in France: Evidence form quantile regression. European Journal of Comparative Economics, 17(1): 127-151., DOI: 10.25428/1824-2979/202001-127-151
  6. Belaïd F., Roubaud D., Galariotis E. (2019). Features of residential energy consumption: Evidence from France using an innovative multilevel modelling approach. Energy Policy, 125: 277-285.
  7. Boardman B. (2004). New directions for household energy efficiency: Evidence from the UK. Energy Policy, 32(17): 1921-1933.
  8. Bohlmann J., Ingletsi-Lotz R. (2018). Analysing the South African residential sector's energy profile. Renewable and Sustainable Energy Reviews, 96: 240-252.
  9. Borozan D. (2018). Regional-level household energy consumption determinants: The European perspective. Renewable and Sustainable Energy Reviews, 90(April): 347-355.
  10. Curtis F.A., Simpson-Housley P., Drever S. (1984). Communications on energy Household energy conservation. Energy Policy, 12(4): 452-456., DOI: 10.1016/0301-4215(84)90109-5
  11. Dianshu F., Sovacool B.K., Vu K. (2010). The barriers to energy efficiency in China: Assessing household electricity savings and consumer behavior in Liaoning Province. Energy Policy, 38(2): 1202-1209.
  12. Ek K., Söderholm P. (2010). The devil is in the details: Household electricity saving behavior and the role of information. Energy Policy, 38(3): 1578-1587.
  13. Gram-Hanssen K. (2013). Efficient technologies or user behaviour, which is the more important when reducing households’ energy consumption? Energy Efficiency, 6(3): 447-457.
  14. Han M.S., Cudjoe D. (2020). Determinants of energy-saving behavior of urban residents: Evidence from Myanmar. Energy Policy, 140(February): 111405.
  15. Heck R., Thomas S., Tabata L. (2014). Multilevel modeling of categorical outcomes using IBM SPSS. Second edition. New York: Routledge.
  16. Hong J., She Y., Wang S., Dora M. (2019). Impact of psychological factors on energy-saving behavior: Moderating role of government subsidy policy. Journal of Cleaner Production, 232: 154-162.
  17. Hori S., Kondo K., Nogata D., Ben H. (2013). The determinants of household energy-saving behavior: Survey and comparison in five major Asian cities. Energy Policy, 52: 354-362.
  18. Hox J.J., Moerbeek M., Van de Scoot R. (2017). Multilevel analysis:Techniques and applications. Third edition. New York: Routledge.
  19. Jones R.V., Fuertes A., Lomas K.J. (2015). The socio-economic, dwelling and appliance related factors affecting electricity consumption in domestic buildings. Renewable and Sustainable Energy Reviews, 43: 901-917.
  20. Kavousian A., Rajagopal R., Fischer M. (2013). Determinants of residential electricity consumption: Using smart meter data to examine the effect of climate, building characteristics, appliance stock, and occupants’ behavior. Energy, 55: 184-194.
  21. Li G., Liu W., Wang Z., Liu M. (2017). An empirical examination of energy consumption, behavioral intention, and situational factors: evidence from Beijing. Annals of Operations Research, 255(1-2): 507-524.
  22. Liu X., Wang Q., Wei H.-H., Chi H.-L., Ma Y., Jian I.Y. (2020). Psychological and demographic factors affecting household energy-saving intentions: A TPB-based study in northwest China. Sustainability, 12(3): 836.
  23. Lopes M.A.R., Antunes C.H., Martins N. (2012). Energy behaviour as promoters of energy efficiency: A 21st century review. Renewable and Sustainable Energy Reviews, 16(6): 4095-4104.
  24. Martinsson J., Lundqvist L.J., Sundström A. (2011). Energy saving in Swedish households. The (relative) importance of environmental attitudes. Energy Policy, 39(9): 5182-5191.
  25. Mills B., Schleich J. (2012). Residential energy-efficient technology adoption, energy conservation, knowledge, and attitudes: An analysis of European countries. Energy Policy, 49: 616-628.
  26. Poortinga W., Steg L., Vlek C. (2004). Values, environmental concern, and environmental behavior: A study into household energy use. Environment and Behavior, 36(1): 70-93., DOI: 10.1177/0013916503251466
  27. Pothitou M., Hanna R.F., Chalvatzis K.J. (2016). Environmental knowledge, pro-environmental behaviour and energy savings in households: An empirical study. Applied Energy, 184: 1217-1229.
  28. Republic of South Africa (2005). National Energy Efficiency of South Africa [online]. Available from: -- [Accessed on 12 July 2020].
  29. Republic of South Africa (1998). The White Paper on Energy Policy in South Africa [online]. Available from: -- [Accessed on 12 July 2020].
  30. Sardianou E. (2007). Estimating energy conservation patterns of Greek households. Energy Policy, 35(7): 3778-3791.
  31. Scarpa R., Willis K. (2010). Willingness-to-pay for renewable energy: Primary and discretionary choice of British households’ for micro-generation technologies. Energy Economics, 32(1): 129-136.
  32. Statistics South Africa (2016). 2016 Community Survey. Available from: -- [Accessed 12 July 2020].
  33. Statistics South Africa (2011). 2011 Population Census. Available from: -- [Accessed 12 July 2020].
  34. Trotta G. (2018). Factors affecting energy-saving behaviour and energy efficiency investments in British households. Energy Policy, 114(January): 529-539.
  35. Wang Z., Zhang B., 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)., DOI: 10.1063/1.489836
  36. Wang Z., Zhang B., Yin J., Zhang Y. (2011). Determinants and policy implications for household electricity-saving behaviour: Evidence from Beijing, China. Energy Policy, 39(6): 3550-3557.
  37. Williams S.P., Thondhlana G., Kua H.W. (2020). Electricity use behaviour in a high-income neighbourhood in Johannesburg, South Africa. Sustainability, 12: 4571.
  38. Yue T., Long R., Chen H. (2013). Factors influencing energy-saving behavior of urban households in Jiangsu Province. Energy Policy, 62: 665-675.
  39. Yun G.Y., Steemers K. (2011). Behavioural, physical and socio-economic factors in household cooling energy consumption. Applied Energy, 88(6): 2191-2200.
  40. Zhang C.-Y., Yu B., Wang J.-W., 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.
  41. Zhao S., Song Q., Wang C. (2019). Characterizing the energy-saving behaviors, attitudes and awareness of university students in Macau. Sustainability, 11(22).
  42. Zhao X., Cheng H., Zhao H., Jiang L., Xue B. (2019b). Survey on the households’ energy-saving behaviors and influencing factors in the rural loess hilly region of China. Journal of Cleaner Production, 230: 547-556.

Kabeya Clement Mulamba, in "ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT" 2/2020, pp. 51-74, DOI:10.3280/EFE2020-002003


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