Publication
Energy-efficient heating appliances: Drivers of behavior change
| Summary: | Our research analyses the drivers for consumers to change to energy-efficient heating appliances. The residential sector is a significant contributor to global energy consumption, and therefore for the increasing climate changes. Thus, there is a need to extend the knowledge on the topic of energy efficiency and better understand the consumer behaviour. To achieve this, our work test six relevant contexts (triggers, barriers, engagement, house characteristics, co-benefits, and communication channels) to predict behavior change. The model was tested based on a sample collected in five European countries, using structural equation modelling technique. We conclude that co-benefits and organizational and web media communication channels significantly affect the behaviour intention to change. Moreover, our results emphasize the importance of consumer engagement in energy topic. These findings are extremely relevant for both energy and governmental organizations towards increasing households’ energy efficiency. |
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| Main Authors: | Neves, Catarina Paisana Pires Costa das |
| Subject: | Efficient energy Energy efficient heating appliance Consumer behavior Structural equation modeling Energia eficiente Aparelho de aquecimento com eficiência energética Comportamento do consumidor |
| Year: | 2021 |
| Country: | Portugal |
| Document type: | master thesis |
| Access type: | open access |
| Associated institution: | Universidade Nova de Lisboa |
| Language: | English |
| Origin: | Repositório Institucional da UNL |
| Summary: | Our research analyses the drivers for consumers to change to energy-efficient heating appliances. The residential sector is a significant contributor to global energy consumption, and therefore for the increasing climate changes. Thus, there is a need to extend the knowledge on the topic of energy efficiency and better understand the consumer behaviour. To achieve this, our work test six relevant contexts (triggers, barriers, engagement, house characteristics, co-benefits, and communication channels) to predict behavior change. The model was tested based on a sample collected in five European countries, using structural equation modelling technique. We conclude that co-benefits and organizational and web media communication channels significantly affect the behaviour intention to change. Moreover, our results emphasize the importance of consumer engagement in energy topic. These findings are extremely relevant for both energy and governmental organizations towards increasing households’ energy efficiency. |
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