This article provides a comprehensive review of theory and research on the individual-level predictors of household energy usage. Drawing on literature from across the social sciences, we examine two broad categories of variables that have been identified as potentially important for explaining variability in energy consumption and conservation: socio-demographic factors (e.g., income, employment status, dwelling type/size, home ownership, household size, stage of family life cycle) and psychological factors (e.g., beliefs and attitudes, motives and intentions, perceived behavioral control, cost-benefit appraisals, personal and social norms). Despite an expanding literature, we find that empirical evidence of the impact of these variables has been far from consistent and conclusive to date. Such inconsistency poses challenges for drawing generalizable conclusions, and underscores the complexity of consumer behavior in this domain. In this article, we propose that a multitude of factors—whether directly, indirectly, or in interaction—influence how householders consume and conserve energy. Theory, research and practice can be greatly advanced by understanding what these factors are, and how, when, where, why and for whom they operate. We conclude by outlining some important practical implications for policymakers and directions for future research.

A range of energy sources are used by households across the globe, including electricity, gas, solar, and wood. While there is a large body of international research aimed at understanding household energy use in general, very few studies have focused on the specific topic of residential firewood consumption. In Australia, empirical research to investigate and quantify residential firewood consumption is scarce and outdated, despite the importance of such research for better understanding overall household energy costs and carbon emissions. Unlike other power sources, such as electricity, gas and solar, firewood consumption is not systematically monitored or measured in an objective way, thereby making it difficult to obtain accurate data on the amount of firewood consumed in the residential sector. To address this data gap, the current study used survey data from a sample of 4844 households (including 1168 firewood users) to explore what socio-demographic, dwelling-related and behavioural factors were important for predicting the amount of firewood consumed by Australian households. The results revealed that a range of variables—including geographical location, dwelling type, the number of wood-fired appliances per household, and behavioural factors such as the purpose, timing, frequency, and duration of firewood use—were key determinants of residential firewood consumption in Australia, as self-reported by households. Together, these findings underscore the value of measuring not only geographical and location-based factors in household surveys, but also a range of socio-demographic, dwelling-related, and behavioural variables. By doing so, self-report data collected through surveys is likely to better predict the amount of residential firewood consumption reported (or estimated) by households. Overall, this study makes an important and timely contribution to the literature by demonstrating how social science methods such as household surveys can help improve current estimates of residential firewood consumption used to inform government policy, planning, and decision-making for the future.

In recent years, energy conservation research has identified a number of household actions that have the potential to drive significant reductions in carbon emissions in the near-term, without requiring substantial changes to householders’ lifestyles or imposing significant financial costs. In this qualitative study, we investigate the potential of some of these actions for behavioral modification by asking householders to reveal the reasons why they perform (or fail to perform) such actions. As part of a telephone survey, a sample of customers (n = 1541) from an Australian energy retailer were asked about their reasons for engaging in specific energy usage practices in one of five household domains: laundry, kitchen, bathroom, space heating/cooling or general appliance usage. Qualitative analyses of participants’ open-ended responses revealed that practices in the laundry and kitchen appear to hold the greatest promise for behavioral change, whereas practices in the shower may be more challenging to modify. Integrating our findings with current psychological and sociological knowledge, we present a range of possibilities for future behavior change interventions at the practice-level.