Application of Structural Equation Modeling in Measuring Owner-Occupiers’ Satisfaction with Green Homes in China

Abstract

Purpose: This study examines the factors influencing owner-occupiers' satisfaction with green homes in China, focusing on indoor environmental quality, smart home technology adoption, and perceived energy efficiency. Additionally, it investigates the mediating role of ease of use of green features and the moderating effects of government incentives and cultural attitudes toward sustainability.

Method: A quantitative research approach was employed, using a cross-sectional survey design. Data were collected from 184 owner-occupiers of green homes in urban China through an online questionnaire. Structural Equation Modeling (SEM) was conducted using SMARTPLS 4.0, following a two-step approach to evaluate the measurement and structural models.

Findings: The results indicate that indoor environmental quality, smart home technology adoption, and perceived energy efficiency positively influence owner-occupiers' satisfaction. Ease of use of green features significantly mediates these relationships, highlighting the importance of user-friendly sustainability features. Furthermore, government incentives and cultural attitudes toward sustainability moderate the impact of ease of use on satisfaction, reinforcing the role of external influences in shaping homeowner experiences.

Originality/Implications: This study advances the understanding of sustainable housing satisfaction by integrating technological, environmental, and behavioral perspectives. It offers practical insights for policymakers, real estate developers, and technology providers to enhance the usability and adoption of green home technologies, ensuring a more sustainable and satisfying residential experience.