Transient and Persistent Energy Efficiency in the US Residential Sector: Evidence from Household-level Data

Abstract

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Energy Efficiency Transitions in China: How Persistent are the Movements to/from the Frontier?

“…long-run efficiency). This distinction is considered important as short-run and long-run efficiency have different policy implications (Alberini and Filippini, 2018;Adom et al, 2018). Filippini and Zhang (2016) applied the SFA to separate persistent efficiency from transient efficiency using provincial data from China.…”

Determining the efficiency of residential electricity consumption

“…Additionally controlling for the determinants of inefficiency raises the mean efficiency score to 0.831. Hence, the mean inefficiency of German households in the use of electricity amounts to 0.169, which seems at first glance comparable to Swiss households (Blasch et al 2017;Boogen 2017), but somewhat higher compared to US households (Alberini and Filippini 2018).…”

“…More recently, scholars make use of disaggregated data. For instance, Alberini and Filippini (2018) estimate the technical efficiency in the use of electricity using data on US households. In addition, the recent literature (e.g., Blasch et al 2017;Boogen 2017;Broadstock et al 2016;Weyman-Jones et al 2015) also considers the role of determinants of (in)efficiency since residential consumers are typically very heterogeneous in various dimensions, such as lifestyle and household size, income, as well as the number and utilization of electric appliances.…”

“…We identify determinants of inefficiency (contrasting, e.g., Alberini and Filippini 2018), which allows us to draw policy conclusions that were not possible with previous study approaches. In particular, we use micro-level data (contrasting Orea et al 2015) and consider a larger suite of both energy services and determinants of inefficiency than, for instance, Weyman-Jones et al 2015and Broadstock et al (2016).…”

“…This paper differs from the existing literature in that we use micro-level data (compared to Orea et al 2015) and explicitly model determinants of inefficiency rather than excluding them (Alberini and Filippini 2018) or including them on the frontier itself (Blasch et al 2017;Boogen 2017) to estimate the impact on consumption. Our view is that determinants of efficiency provide a helpful source of information to exploit and that the electricity usage frontier might not be directly impacted by, for example, the gender of a household head.…”