Al Mamun, Abdullah and Hayat, Naeem and Mohiuddin, Muhammad and Salameh, Anas A. and Zainol, Noor Raihani (2022) Modelling the energy conservation behaviour among Chinese households under the premises of value-belief-norm theory. Frontiers in Energy Research, 10. ISSN 2296-598X
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Abstract
Energy conservation is a necessary form of green behaviour, as energy production and consumption gravely affect the climate. The current study aimed to explore energy conservation behaviour among Chinese households based on the value-belief-norm framework. This study used a cross-sectional design and collected quantitative data from 1671 respondents through an online survey. The hybrid analysis techniques of partial least squares structural equation modelling and artificial neural network analysis were used to analyse the data. Findings revealed that biospheric values have a positive and significant effect on pro-environmental beliefs, awareness of consequences, and ascription of responsibility, which ultimately explains 46.3% of the change in personal norms and 42.6% of the change in green trust. The results shed light on the significant positive impact of green trust and personal norms on the energy conservation intention. Green trust and personal norms can elucidate 27.3% of the change in energy conservation intention. The energy conservation intention (39.1%) explains the energy conservation behaviour. The results of ANN analysis revealed energy conservation intention, personal norms, green trust, and awareness of consequences as the four most significant contributors to the formation of energy conservation behaviour. The current study extended the VNB model with the green trust. It offered empirical evidence on the effects of pro-environmental belief, awareness of consequences, and ascription of responsibility concerning energy conservation intention. Energy policies should thus concentrate on addressing energy conservation behaviour, promoting energy-efficient household appliances, and rewarding energy conservation by lowering energy prices for low-energy users.
Item Type: | Article |
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Subjects: | Science Global Plos > Computer Science |
Depositing User: | Unnamed user with email support@science.globalplos.com |
Date Deposited: | 10 May 2023 10:18 |
Last Modified: | 01 Feb 2024 04:22 |
URI: | http://ebooks.manu2sent.com/id/eprint/792 |