Examining Household Intentions for E-Waste Recycling using Logistic Regression: A Case Study in Ipoh

Abstract

Electronic waste (e-waste) has emerged as a significant environmental issue worldwide due to the rapid technological advancements and the resulting increase in electronic device consumption. Improper disposal of e-waste poses serious environmental and health risks, as it contains toxic substances that can contaminate soil, water, and air if not managed properly. This study aimed to identify the key factors influencing e-waste recycling intentions among households in Ipoh, Perak. A sample of 400 respondents was selected through convenience sampling, with data collected through a cross-sectional design. Binary logistic regression was applied with independent variables, which are attitude, subjective norms, perceived behavioural control, perceived convenience, awareness of consequences, and perceived knowledge towards e-waste recycling intention. Results indicated that only variable subjective norms and perceived convenience of the recycling process contribute significantly to e-waste recycling intention among the households in Ipoh, Perak. The findings are anticipated to guide future strategies, policies, and educational initiatives to enhance e-waste recycling intentions and contribute to broader environmental sustainability goals.