Abstract
An enormous volume of electronic waste (e-waste) is currently being generated in Vietnam, threatening to render this country as an e-waste dumping region. Although the residents play an indispensable role in the e-waste management system, there is presently no or very limited studies available which involve public perceptions on the e-waste recycling in Vietnam. In this study, based on the theory of planned behavior (TPB), the structural equation modeling (SEM) was employed to examine the key factors influencing e-waste recycling behavioral intention of residents in Danang city, Vietnam. Data analyzed from 520 questionnaires revealed that environmental awareness and attitude toward recycling, social pressure, laws and regulations, cost of recycling, and inconvenience of recycling significantly directly affected residents’ behavioral intention, with laws and regulations being the strongest construct significantly to predict individuals’ intention. Of the five above-listed constructs, only inconvenience of recycling had a negative impact on residents’ recycling behavioral intention. Moreover, past experience showed the statistically significant negative effect on the inconvenience of recycling while it had no significant impact on behavioral intention. The influences of demographic variables on recycling behavioral intention were also discussed in this paper. The findings from this research may help policy-makers have a better understanding of residents’ e-waste recycling intention. That is very useful in paving the way for a successful e-waste recycling and management system not only in Vietnam, but also in other countries which are suffering from the same problems of e-waste.
Highlights
With the benefits of advancements in the area of information and communication technology (ICT), more and more people have recently entered the global information society and digital market [1]
Other most important indicators can be used to assess of fitness of the model include the goodness of fit index (GFI), the Tucker–Lewis index (TLI), the comparative fit index (CFI), the normed fit index (NFI), the root mean square error of approximation (RMSEA), the standardized root mean square residual (RMR) (SRMR), and the parsimonious normed fit index (PNFI)
The findings from this study demonstrated various drivers of residents’ e-waste recycling behavioral intention in which concerns about laws and regulations exert the strongest influence on e-waste recycling behavioral intention of both men and women
Summary
With the benefits of advancements in the area of information and communication technology (ICT), more and more people have recently entered the global information society and digital market [1]. According to Baldé [2], a huge number of people today own more than one ICT device, and the lifetime of those products such as mobile phones, computers, and other devices and equipment is becoming shorter and shorter. This phenomenon leads to a rapidly increasing rate of generating electrical and electronic waste (e-waste) [3,4]. E-waste, known as waste electrical and electronic equipment (WEEE), has considerable differences in terms of definition and categorization in each area [5]. The volume of e-waste is projected to peak at 52.2 Mt by 2021 [2,7]
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