Critical factors influencing the adoption of smart home energy technology in china: A guangdong province case study

Weiyu Ji, Edwin H.W. Chan

Research output: Journal article publicationReview articleAcademic researchpeer-review

7 Citations (Scopus)

Abstract

Smart home energy technology has been verified to be successful for energy reduction in the residential sector. However, the current penetration rate of smart home energy technology is at a low level. Considering the factors of economy, policy, and demographics, Guangdong Province in China is a suitable region as an exemplary case to promote smart home energy technology through the urban residents. Therefore, using Guangdong as the targeting area, this research examined the factors influencing residents' intention to adopt smart home energy technology. A theoretical model based on the theory of planned behavior and Norm Activation Model theory was developed, with special consideration of the complex technical features. A questionnaire survey was performed in Guangdong Province and the data was analyzed by PLS-SEM. The analysis results indicated that residents' attitude towards technical performance, social norm, perceived behavioral control, and personal norm all have positive influence on the adoption intention, of which, attitude towards technical performance had the strongest effect. On the other hand, the attitude towards economic performance was found not to lead adoption intention. To explain this consequence, the discussion based on behavioral economics was proposed.

Original languageEnglish
Article number4180
JournalEnergies
Volume12
Issue number21
DOIs
Publication statusPublished - 1 Nov 2019

Keywords

  • Behavioral economics
  • Energy efficiency gap
  • Household energy saving
  • Norm activation model
  • Smart home energy technology
  • Structural equation modelling
  • Theory of planned behavior

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Energy (miscellaneous)
  • Control and Optimization
  • Electrical and Electronic Engineering

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