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On the confluence of city living, energy saving behaviours and direct residential energy consumption

Author

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  • Poruschi, Lavinia
  • Ambrey, Christopher L.

Abstract

The purpose of this study is to shed light on the connection between income, dwelling type, tenure type and city living, in terms of both a household’s energy saving behaviours and direct residential energy consumption. This study employs data from the Household Energy Consumption Survey, Australia. Using a seemingly unrelated regression (SUR) system of equations the results reveal some key mechanisms which may allow householders to realise lower levels of energy consumption and hence lower carbon emissions. The results indicate that there are characteristics unique to living in a city that are linked to higher levels of direct residential energy consumption. On a number of measures (e.g. household income, tenure type and dwelling type), the results point to a lower likelihood of engaging in energy saving behaviours in cities. Also, depending on the number of energy saving behaviours, these actions have the potential to more than offset higher direct residential energy consumption of householders residing in separate houses. Coupled with these findings renters, a more vulnerable social group, are found to be significantly disadvantaged, suffering from a much lower adaptive capacity. Specifically, householders who rent their home are 77% less likely to have solar electricity. A result which may reflect differences in access to opportunity. Further, householders who rent are less likely to engage in energy saving actions. A finding which may reflect difference in ontological security and the greater psychological burden associated with undertaking energy saving behaviours (a barrier) borne by renters not shared with home owners.

Suggested Citation

  • Poruschi, Lavinia & Ambrey, Christopher L., 2016. "On the confluence of city living, energy saving behaviours and direct residential energy consumption," Environmental Science & Policy, Elsevier, vol. 66(C), pages 334-343.
  • Handle: RePEc:eee:enscpo:v:66:y:2016:i:c:p:334-343
    DOI: 10.1016/j.envsci.2016.07.003
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    Citations

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    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. Zhang, Junyi & Teng, Fei & Zhou, Shaojie, 2020. "The structural changes and determinants of household energy choices and energy consumption in urban China: Addressing the role of building type," Energy Policy, Elsevier, vol. 139(C).
    3. Sylwia Słupik & Joanna Kos-Łabędowicz & Joanna Trzęsiok, 2021. "Energy-Related Behaviour of Consumers from the Silesia Province (Poland)—Towards a Low-Carbon Economy," Energies, MDPI, vol. 14(8), pages 1-23, April.
    4. Poruschi, Lavinia & Ambrey, Christopher L., 2018. "Densification, what does it mean for fuel poverty and energy justice? An empirical analysis," Energy Policy, Elsevier, vol. 117(C), pages 208-217.
    5. Best, Rohan & Burke, Paul J., 2022. "Effects of renting on household energy expenditure: Evidence from Australia," Energy Policy, Elsevier, vol. 166(C).
    6. Dukovska, Irena & Slootweg, J.G. (Han) & Paterakis, Nikolaos G., 2023. "Introducing user preferences for peer-to-peer electricity trading through stochastic multi-objective optimization," Applied Energy, Elsevier, vol. 338(C).
    7. Jingfei Zhang & Lijun Zhang & Yaochen Qin & Xia Wang & Zhicheng Zheng, 2019. "Impact of Residential Self-Selection on Low-Carbon Behavior: Evidence from Zhengzhou, China," Sustainability, MDPI, vol. 11(23), pages 1-17, December.
    8. Yuhuan Xia & Yubo Liu & Changlin Han & Yang Gao & Yuanyuan Lan, 2022. "How Does Environmentally Specific Servant Leadership Fuel Employees’ Low-Carbon Behavior? The Role of Environmental Self-Accountability and Power Distance Orientation," IJERPH, MDPI, vol. 19(5), pages 1-17, March.
    9. Zhang, Jingfei & Zheng, Zhicheng & Zhang, Lijun & Qin, Yaochen & Wang, Jingfan & Cui, Panpan, 2021. "Digital consumption innovation, socio-economic factors and low-carbon consumption: Empirical analysis based on China," Technology in Society, Elsevier, vol. 67(C).
    10. Yan Liu & Rong Liu & Xin Jiang, 2019. "What drives low-carbon consumption behavior of Chinese college students? The regulation of situational factors," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 173-191, January.
    11. Huang, Donna & Daniel, Lyrian & Moore, Trivess & Baker, Emma & BEER, ANDREW & Willand, Nicola & Horne, Ralph & Hamilto, Cathryn, 2020. "Warm, cool and energy-affordable housing policy solutions for low-income renters," SocArXiv vxmc9, Center for Open Science.
    12. 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.

    More about this item

    Keywords

    Australia; Cities; Direct energy consumption; Energy saving behaviours; Household Energy Consumption Survey; Pro-environmental behaviours;
    All these keywords.

    JEL classification:

    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • R2 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis

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