Social Nudging for Sustainable Electricity Use: Behavioral Interventions in Energy Conservation Policy
Abstract
1. Introduction
2. Social Nudge and Energy
3. Methodology of Literature Search
4. Results of Recently Reported Work
- Information nudges: Providing energy feedback (e.g., real-time data, emails, or reports) reduces energy consumption, with savings ranging from 0.7% to 15%. High-frequency and tailored feedback (e.g., hourly data or personalized messages) achieve greater reductions.
- Social nudges: Social comparisons and group identification play a significant role, leading to reductions of 6.7% to 11%. Group identification amplifies social norm interventions’ effectiveness.
- Combined nudges: Integrating multiple nudges (e.g., feedback, benchmark, or default) or combining nudges with incentives enhances energy conservation, achieving up to 16% savings.
- Surveys and behavior drivers: Non-nudge studies emphasize the role of attitudes, values, and socio-demographic factors in energy-saving behavior, particularly highlighting gaps between attitudes and actions.
5. Discussion
5.1. Challenges on the Way
5.2. A Way Forward
5.3. Policy Implication
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Ref. | Region | Related Work | Outcome | Social Nudge |
---|---|---|---|---|
[40] | Japan | This field study aimed to test the effectiveness of energy efficiency guidance in the residential sector using a message pop-up feature in a mobile app. The app was distributed to approximately 1700 households that voluntarily enrolled in the program. Researchers conducted randomized controlled trials to assess the impact of message pop-ups containing energy efficiency advice. The advice included information about power usage and characteristics, as well as a social nudge approach. | Energy-saving recommendations decreased power use by 1.3%. | Information nudge: energy efficiency guidance via mobile app. Information was given on a daily, weekly, and monthly basis for five months. |
[41] | Finland | By utilizing a clever overview and real month-to-month power utilization information, this study is aimed to analyze how aware people are about their power bills, costs, and expenses among a few Finnish families. Six inquiries were performed to examine whether more elevated levels of energy mindfulness are related to power investment funds. The web-based poll was sent to 244 individuals, of whom 184 completed it. | As per the results, only 27.7% of the respondents accurately addressed the six inquiries. Also, 20.8% of total respondents agreed to receive information nudge to improve their power consumption. | Information nudge: once, by email. |
[42] | Germany | This research investigates the main finding of the Opower trials in the US—the cost-effectiveness of social resemblance Home Energy Reports (HER) as a climate policy tool. In a descriptive study, they demonstrate that, apart from Australia, lower energy usage levels and emissions levels of power production significantly limit the cost effectiveness potentials of HER. In a German case study, 11,630 residents were sent HER interventions. | Due to the information from the HER reports, power usage was, on average, reduced by 0.7%, which is half of what was seen at the lower end of the 1.4–3.3 percent effect size range in the US. | Information nudge: comparing HER reports between households. The information to the households was given monthly for six months. |
[43] | Poland | This study investigated the preferences for demand-side management (DSM) programs in the electricity consumption of 1000 households. A web-based survey, conducted by a polling agency, was used for data collection. The researchers assessed the willingness to embrace changes in power consumption, and also explored how the social analysis of households’ energy use affected their acceptance of DSM. | A majority, i.e., 85.4% of respondents, agreed to perform DSM, but they wanted payment for altering their behavior. | No nudging. Only a survey that supported financial incentives for behavioral change. |
[44] | California | High-frequency smart meter data was used to give occasional data information on electricity consumption to 237 individual loft units situated inside two different private buildings. The authors assessed the impact of information on the household’s individual way of behaving. | Apartments receiving personal information on energy data decreased their power use throughout the experiment by roughly 6% more than units not receiving the treatment, compared to their average consumption before the intervention. | Information nudge: weekly emails. |
[45] | Italy | This study used an experiment to evaluate how environmental awareness influences the larger scale effects of information nudging that requires sustained efforts. The authors merged data on consumption with survey data of 4835 consumers in order to investigate probable origins of the messages’ diverse effects. | The program typically results in a 0.9% decrease in electricity use. The authors offered hints that targeting particular sub-groups might increase the effectiveness of boosting environmental awareness. | Information nudge: weekly emails. |
[46] | Sweden | This study used an experiment of 525 homes to determine the causal effects of social comparison on water and electricity use. The control and treatment groups were randomly assigned. | The daily domestic power usage was reduced by 6.7% on average by the social comparison treatment, while the household’s water use remained unaffected. | Information nudge: real-time display for 12 months. |
[47] | Lithuania | This study performed an experiment on 2927 apartments to investigate how solely descriptive information, provided via online portals, may be a successful means of achieving energy savings in housing applications. The customized hourly energy demand data was presented on their individual online portals. The installation of new smart energy meters allowed for the availability of hourly energy data for the treatment group. | The outcomes revealed that providing descriptive information decreased electricity usage by 8.6%. | Information nudge: information on own hourly energy consumption data via a web portal. |
[48] | Italy | Authors examined the impact of integrating financial reward with social nudges using a structured online experiment. Participants optimized their virtual electricity use on a simulated washing machine in a novel incentive-compatible electricity saving assignment suggested by the authors. A total of 566 participants took part in the study. | Electricity saving of 0.148% by the nudge approach and 0.156% electricity saving by the combined approach (nudge and reward) was achieved for the washing machine simulation. | Nudging on virtual study. |
[49] | Monaco | In this work, the authors investigated the relation between social nudge and the household’s environmental awareness. Data from 77 families were gathered and divided into four groups. Ex-ante survey questions included the socio-demographics of the home, ecological dedication and considerations, power usage, heating system, and curtailing practices. | The difference in average energy consumption was noticed in the range of 7% to 31% among the groups. | Information nudging by email for six months. |
[50] | Finland | This research included peer comparisons and energy-saving advice while concentrating on nudging and home power consumption. A total of 528 families received emails with energy-saving advice for lowering winter electricity usage. Researchers looked at the relationship between power use and nudge effectiveness. | The key finding is the possibility that households that are more engaged in monitoring their power use may experience lower energy use. During the test period, an energy-saving nudge lowered the energy consumption by 10%. | Information nudge: social comparison treatment, and energy-saving advice. Information was given by monthly emails. |
[51] | Japan | This study is a large-scale randomized experiment of 62,400 homes, investigating the behavioral characteristics of energy-use feedback programs. The work includes social comparison-based home energy reports (HER), and categorization based on peer comparison. The authors used a randomized controlled experiment to analyze data from 62400 homes. There were two different sorts of home energy reports: one with hourly energy use comparisons and the other with yearly comparisons of monthly energy consumption. | The social comparison of HER reports with hourly data to HER with monthly data showed 1.4% lower energy consumption, which is 0.8% higher than the results obtained by historic comparison. | Information nugde: social comparison treatment through HER reports by monthly emails. |
[52] | Middle East | The authors conducted a large-scale field study including around 200,000 families in the Middle East, sending each family periodic messages on their water and power usage. The research was focused on finding whether giving such information on the usage of the two resources jointly may result in decreases in both sectors, as use of this strategy to encourage resource savings spreads. | For this social nudge, there was a reduction in electricity use of about 1.2%, keeping water utilization unaffected. | Information nudge: monthly emails. |
[53] | Portugal | An empirical experiment was conducted for a system with 20 customers to assess the power exchange cost for local participants. The study incorporated the behavioral interventions for energy conservation and the adoption of renewable energy sources. The model followed a simulation-based study for the local electricity market. | Considering a 3% to 5% electricity saving, a cost savings of 5.60% to 19.26% was obtained. | Results from a simulation tool. |
[54] | China | The study conducted a survey among rural residents to assess their willingness to adjust energy use behaviors in response to three virtual electricity pricing scenarios: Peak-valley rate (PVR), Photovoltaic systems (PVS) and original flat rate (OFR). A multi-group analysis was conducted to identify factors influencing residents’ willingness to adjust energy consumption, utilizing an extended Theory of Planned Behavior (TPB) framework incorporating social capital and policy variables. | The study revealed varying preferences among rural residents, with 45.22% choosing PVR, 22.89% opting for PVS, and 31.89% selecting OFR. Attitudes significantly influenced residents’ willingness to adjust washing machine usage time, while social network presence affected attitude and perceived behavioral control for certain scenarios. Policies and regulations notably impacted the willingness of residents selecting scenario PVS to adjust energy use. | No nudge. Investigating price incentives for DSM. |
[55] | Germany | The study conducted a field experiment on resource conservation, specifically focusing on the everyday activity of showering in a student dormitory, known for its energy and water intensity. With 351 participants, two interventions were implemented. The interventions targeted biases arising from imperfect information and limited attention. The experiment involved a three-month duration and tested the effects of each intervention alone and in combination. | The findings revealed a remarkable complementarity between the two interventions. While each intervention individually had limited effectiveness in inducing conservation, the combined implementation yielded significant conservation effects. | Information nudge: daily/monthly information on energy use and real-time feedback, given via email. |
[56] | Kuwait | This study investigates the impact of the COVID-19 pandemic on energy literacy and conservation behavior in academic buildings in Kuwait. Employing a mixed-methods approach, it combines quantitative surveys with qualitative data collection methods such as questionnaires, focus groups, and interviews. The research included 158 engineering students, 67 faculty members, and 52 administrative staff, totaling 277 participants. Education, awareness, personal motivation, values, religiosity, and culture were identified as crucial factors influencing energy literacy and conservation behaviors. | The study found that COVID-19 had a significant impact on participants’ attitudes, intentions, and behavior related to energy conservation in academic buildings in Kuwait. Specifically, the student group experienced a significant increase in the relationship between their intentions and behavior, while the faculty group exhibited a strong correlation between intention and behavior. | No nudge. Survey of impact of COVID-19 on energy literacy. |
[57] | Europe | The study investigates the motivation behind employee energy conservation and assesses the impact of an IoT-enabled gamified intervention in three workplaces across Europe. It aims to unravel individual energy-saving behavior factors and understand their influence on organizational energy conservation. Through multiple regression analysis, the study evaluates the predictive ability of various factors, including self-determination, personal norms, and organizational profiles, on energy-related behavioral outcomes at work. | Findings from the study reveal significant insight into energy-saving behavior and the effectiveness of the gamified intervention. The intervention led to a statistically significant increase in participants’ intention to conserve electricity at work with a moderate effect size. Additionally, participants reported a positive change in their personal energy-saving habits with large effect size. The intervention resulted in a conservatively estimated energy saving of 6413 kWh during the intervention period, equivalent to 12.99% compared to baseline consumption. | Gamified nudge: personal feedback through an IoT device in the office. |
[58] | China | This study investigated the effectiveness of social norm interventions in promoting sustainable behaviors in the context of energy conservation. The research involved a field experiment conducted in university dormitories, with 584 students randomly assigned to control and treatment groups. These groups received social norm information varying in terms of group identification. Data collection included daily electricity meter readings before and after the intervention. Exclusion criteria were applied to participants reporting events that could significantly impact energy usage, resulting in a final sample size of 1027 individuals from 603 rooms. | The results of the study indicate that social norm information about a high identification group led to an 11% reduction in energy consumption, highlighting the importance of group identification in the efficacy of social norms interventions. The findings suggest that identification is a crucial factor in effectiveness for promoting energy-conservation behavior. | Information nudge: daily text message for 18 days. |
[59] | Ghana | The study investigates the relationship between energy literacy (EL), attitude towards energy, personal energy value, and energy-savings behavior (ESB) within the context of a lower middle-income country, specifically focusing on hydro-electricity power in Ghana. A survey-based questionnaire was administered to 250 professional workers in Ghana to collect data. | The study found that energy literacy has a positive effect on energy-saving behavior, with attitude towards energy and personal energy value significantly mediating this relationship. Specifically, cognitive skills and affective outcomes of energy literacy were identified as significant predictors of personal energy value and attitude towards energy. | No nudge. Survey only. |
[60] | Germany | A field experiment was conducted with 111 households equipped with rooftop photovoltaics to test the effectiveness of three sequentially applied behavioral nudges (feedback, benchmark and default) delivered through digital tools. The experiment employed a control group design, baseline measurements and high-frequency smart meter data to assess the causal effects of each intervention on increasing self-consumption. | The study revealed that while feedback and benchmark interventions resulted in a 3–4% in self-consumption, the default intervention led to a substantial 16% increase for active participants. Notably, households with controllable EVs showed stronger effects than those without. | Information nudge: Information (feedback, benchmark, or default) provided through digital tools, i.e., web portal and smart charging app. |
[61] | California | The paper investigates the consumption and conservation behaviors of residents in low-income housing in Southern California through a questionnaire-based survey conducted across four housing facilities. It explores factors such as energy burden, satisfaction with building services, and drivers of conservation behaviors among low-income households. Additionally, the study identifies potential intervention strategies aimed at reducing utility bills and improving residents’ quality of life, including educational programs and PV installation. | The findings reveal a strong inclination towards energy and water conservation, with 16% of respondents reporting a reduction in electricity bills compared to the preceding year, averaging a drop of 34 USD. | No nudging: survey only. |
[62] | Switzerland | In this study, households in two Swiss neighborhoods (N = 177) participated in an energy conservation program. They were randomly assigned to receive either a concrete intervention or one including abstract environmental information. | Six months later, households exposed to the abstract message paid significantly more attention to energy consumption, with 12–15% more energy saving compared to the group which received concrete information. | Information nudge: comparing concrete and abstract information. Information was given through a personal visit. |
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Mochi, P.; Pandya, K.; Lindberg, K.B.; Korpås, M. Social Nudging for Sustainable Electricity Use: Behavioral Interventions in Energy Conservation Policy. Sustainability 2025, 17, 6932. https://doi.org/10.3390/su17156932
Mochi P, Pandya K, Lindberg KB, Korpås M. Social Nudging for Sustainable Electricity Use: Behavioral Interventions in Energy Conservation Policy. Sustainability. 2025; 17(15):6932. https://doi.org/10.3390/su17156932
Chicago/Turabian StyleMochi, Pratik, Kartik Pandya, Karen Byskov Lindberg, and Magnus Korpås. 2025. "Social Nudging for Sustainable Electricity Use: Behavioral Interventions in Energy Conservation Policy" Sustainability 17, no. 15: 6932. https://doi.org/10.3390/su17156932
APA StyleMochi, P., Pandya, K., Lindberg, K. B., & Korpås, M. (2025). Social Nudging for Sustainable Electricity Use: Behavioral Interventions in Energy Conservation Policy. Sustainability, 17(15), 6932. https://doi.org/10.3390/su17156932