Title |
Green illusions in self-reporting? Reassessing the intention-behavior gap in waste recycling behaviors |
ID_Doc |
6851 |
Authors |
Zhang, S; Xia, ZQ; Zhang, C; Tian, X; Xie, JL |
Title |
Green illusions in self-reporting? Reassessing the intention-behavior gap in waste recycling behaviors |
Year |
2023 |
Published |
|
DOI |
10.1016/j.wasman.2023.04.036 |
Abstract |
Improving residents' waste recycling behavior is crucial for enhancing resource efficiency and reducing carbon emissions. Previous questionnaire-based studies have reported that individuals exhibit a high willingness to recycle, yet often fail to convert this intention into action. Analyzing 180,417 Internet of Things (IoT) behavior data points, we discovered that the intention-behavior gap might be larger than anticipated. Our findings indicate that: 1) Intentions to recycle alone can predict self-reported recycling behavior (p < 0.01, t = 2.841), but not actual recycling behavior in the absence of other possible moderators (p > 0.1, t = 0.777); 2) Self-reported behavior predicts real behavior, but with limited explanatory power; and 3) The intention-behavior gap primarily results from forgetting or habituation (p < 0.01, t = 2.653), while social desirability plays an insignificant role (p > 0.1, t = 0.246). This study contributes to our understanding of the intention-behavior gap and provides direction for future pro-environmental behavior research. |
Author Keywords |
Pro -environmental Behavior; Intention -behavior gap; Recycling; Internet of Things; Circular Economy; Waste Sorting |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Science Citation Index Expanded (SCI-EXPANDED) |
EID |
WOS:001000492400001 |
WoS Category |
Engineering, Environmental; Environmental Sciences |
Research Area |
Engineering; Environmental Sciences & Ecology |
PDF |
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