Consumers’ limitations in assessing the lifetime cost of household appliances may sustain the much-cited energy efficiency gap. We analyse the impact of an individual’s energy and investment literacy and two different types of decision support on the ability to identify the appliance with the lower lifetime cost in an online randomized controlled trial among two independently chosen samples of the Swiss population. In a decision task, participants choose between appliances with different lifetime cost. One treatment offers a short education programme on how to calculate the lifetime cost of an appliance – via a set of information slides. The second treatment provides access to an online lifetime-cost calculator tool. We find that pre-treatment energy and investment literacy are positively associated with the probability of identifying the appliance with the lowest lifetime cost. Evidence in this paper suggest that both decision aids boost identification of energy-efficient appliances. We discuss strategies to scale up these boosters.

Buildings are responsible for around 45% of total energy consumption and one-third of CO2 emissions annually in Switzerland. Policymakers have argued that an increased rate of energy-saving retrofits in existing buildings will play a critical role in meeting the energy and climate policy goals. This article examines the determinants for the households’ investment decisions to undertake energy-efficient retrofits and investigates the role of policy measures. We estimate random effects probit models using a rich data for 1663 owned single-family Swiss households for retrofits undertaken during 2010 to 2014. Results suggest that while the building vintage appears to be a relevant determinant; energy-related attitudes of decision makers and policy instruments are also likely to play an important role. In particular, we find a suggestive evidence of tax deduction policy in supporting households’ decisions to undertake energy-saving retrofits as well as the intensity of renovation. Direct monetary policies such as tax deductions should be focused particularly upon poorly insulated old buildings and those that rely on non-renewable energy sources for heating purposes.

Addressing hazardous levels of air pollution in densely populated cities in emerging countries requires concerted efforts to reduce fossil fuel use in the transport sector, such as through greater use of electric motorcycles. However, their adoption has been limited due to several market failures and behavioral anomalies. In this study, we collect novel data on more than 2,000 potential motorcycle buyers in Kathmandu, Nepal. Using randomization, we evaluate the effects of informational nudges on their stated choice to buy an electric motorcycle. We find evidence to suggest that our interventions play a role in determining the stated preference of respondents. Furthermore, results also hint at the importance of gender, health status and education in determining the effectiveness of these nudges. Implications of this study relate to policy choice in cities in developing countries, where fuel-inefficient vehicles are used widely, and the negative externalities due to air pollution are stark.

In this article, we analyse the gas demand of Swiss households and provide an estimate of the own price elasticity. We use household-level panel data from 2010 to 2014 for 958 Swiss households while controlling for several socioeconomic characteristics and dwelling attributes. The results report the own price elasticity of gas demand to be around – 0.73. An inelastic demand is expected as the gas demand among Swiss households originates primarily for space heating and water heating purposes. Policy implications are discussed. 

As countries develop, they are likely to face challenges in meeting growing energy demand and in ensuring energy security. Given this, and the problem of climate change, improving demand-side energy efficiency is pivotal to ensuring sustainable development. However, agents often underinvest in energy-efficient technologies due to behavioral failures such as low levels of energy-related financial literacy, defined as the combination of energy knowledge and cognitive abilities needed to evaluate the lifetime costs of durables. Using novel data, we analyze the levels and determinants of energy-related financial literacy of households in urban areas in the eastern lowlands of Nepal, and whether it is correlated with their attitudes towards replacement of energy-inefficient appliances. We find that respondents have low levels of energy-related financial literacy, and higher levels of literacy are associated with more rational attitudes towards appliance replacement. The findings of this study are relevant to addressing the energy-efficiency gap in developing countries.

It is an ongoing debate how to increase the adoption of energy-efficient light bulbs and household appliances in the presence of the so-called ‘energy efficiency gap’. One measure to support consumers’ decision-making towards the purchase of more efficient appliances is the display of energy-related information in the form of energy-efficiency labels on electric consumer products. Another measure is to educate consumers in order to increase their level of energy and investment literacy. Thus, two questions arise when it comes to the display of energy-related information on appliances: (1) What kind of information should be displayed to enable consumers to make rational and efficient choices? (2) What abilities and prior knowledge do consumers need to possess to be able to process this information? In this paper, using a series of (recursive) bivariate probit models and three samples of 583, 877 and 1375 households from three major Swiss urban areas, we show how displaying information on the future energy consumption of electrical appliances in monetary terms (CHF), rather than in physical units (kWh), increases the probability that an individual makes a calculation and identifies the appliance with the lowest lifetime cost. In addition, our econometric results suggest that individuals with a higher level of energy and, in particular, investment literacy are more likely to perform an optimization rather than relying on a decision-making heuristic. These individuals are also more likely to identify the most (cost-)efficient appliance.

This note shows that, if a Bivariate Probit (BP) model is estimated on data arising from a Recursive Bivariate Probit (RBP) process, the resulting BP correlation parameter is a weighted average of the RBP correlation parameter and the parameter associated to the endogenous binary variable. Two corollaries follow this proposition: i) the interpretation of the correlation parameter in the RBP is not the same as in the BP —i.e. the RBP correlation parameter does not necessarily reflect the correlation between the binary variables under study; and ii) a zero correlation parameter in a BP model, usually interpreted as evidence of independence between the binary variables under study, may actually mask the presence of an RBP process. 

This paper estimates the level of transient and persistent efficiency in the use of electricity in Swiss households using the newly developed generalized true random effects model (GTREM). An unbalanced panel dataset of 1994 Swiss households from 2010 to 2014 collected via a household survey is used to estimate an electricity demand frontier function. We further investigate whether energy and investment literacy have an influence on the household electricity consumption. The results show significant inefficiencies in the use of electricity among Swiss households, both transient (11%) and persistent (22%). We note that the high persistent inefficiency is indicative of structural problems faced by households and systematic behavioral shortcomings in residential electricity consumption. These results indicate a considerable potential for electricity savings and thus reaching the reduction targets defined by the Swiss federal council as part of the Energy Strategy 2050, wherein end-use efficiency improvement is one of the main pillars. The results support a positive role of energy and, in particular, investment literacy in reducing household electricity consumption. Policies targeting an improvement of these attributes could help to enhance efficiency in the use of energy within households.