2023
DOI: 10.1007/s10163-023-01659-y
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Exploring the motivations and obstacles of the public's garbage classification participation: evidence from Sina Weibo

Abstract: China has been implementing garbage classification to improve resource recycling for many years. Since garbage classification is essentially a social activity, it needs the active participation of the public. However, the phenomenon of "high practice, low effect" is widespread in most cities. Therefore, this paper uses the data from Sina Weibo to analyze the reasons for the poor garbage classification effect. First, the key factors affecting residents' willingness to participate in garbage classification are i… Show more

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Cited by 12 publications
(2 citation statements)
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“…ELE is positively correlated with PUN (p < 0.01), indicating that residents who live in buildings without elevators are more inclined to accept DGC punishments (Table 5). Evidence showed that the primary causes of residents' negative emotions are flawed infrastructure and illogical waste-sorting practices [52]. Referring to this evidence, the study attributes this result to the fact that a quarter not equipped with an elevator is less convenient for garbage disposal and more likely to be dirty and that residents want to correct the behavior of others and maintain a tidy living environment through punitive measures.…”
Section: Punishment Model Resultsmentioning
confidence: 93%
See 1 more Smart Citation
“…ELE is positively correlated with PUN (p < 0.01), indicating that residents who live in buildings without elevators are more inclined to accept DGC punishments (Table 5). Evidence showed that the primary causes of residents' negative emotions are flawed infrastructure and illogical waste-sorting practices [52]. Referring to this evidence, the study attributes this result to the fact that a quarter not equipped with an elevator is less convenient for garbage disposal and more likely to be dirty and that residents want to correct the behavior of others and maintain a tidy living environment through punitive measures.…”
Section: Punishment Model Resultsmentioning
confidence: 93%
“…One of the important reasons for this is the efficient use of technologies for garbage classification followed by effective management and recycling of garbage [8]. Since 2000, the amount of rural solid waste in China has been increasing rapidly and largely under the radar: it has grown from 46,700 million tons (Mt) in 2013 to 52,200 Mt in 2019 [9]. Subsequently, around 30-60% of rural garbage was mismanaged, leading to environmental degradation and economic losses [10].…”
Section: Introductionmentioning
confidence: 99%