2020
DOI: 10.1080/13504851.2020.1781766
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Internet use and willingness to participate in garbage classification: an investigation of Chinese residents

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Cited by 34 publications
(26 citation statements)
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“…Our work is related to the literature on the effect of internet use and the determinants of elderly's mental health. Previous studies have investigated how the use of internet may affect the adoption of an environmentally friendly behavior ( 54 , 55 ), household welfare and wellbeing ( 56 ), and agricultural production and marketing performance ( 57 , 58 ). Some other studies have made effort to understand the diversity of elderly's mental health ( 11 , 42 , 59 , 60 ).…”
Section: Discussionmentioning
confidence: 99%
“…Our work is related to the literature on the effect of internet use and the determinants of elderly's mental health. Previous studies have investigated how the use of internet may affect the adoption of an environmentally friendly behavior ( 54 , 55 ), household welfare and wellbeing ( 56 ), and agricultural production and marketing performance ( 57 , 58 ). Some other studies have made effort to understand the diversity of elderly's mental health ( 11 , 42 , 59 , 60 ).…”
Section: Discussionmentioning
confidence: 99%
“…Han and Xu found that social media use can strengthen individuals' pro-environmental behavior through interpersonal communication [15]. Furthermore, Ma and Zhu revealed that internet use positively influences Chinese residents' willingness to participate in garbage sorting [16]. While none of these studies focused on the garbage sorting intention of adolescents, according to their findings, we can assume that adolescent social media use may also positively affect their garbage sorting behavior.…”
Section: Social Media Use and Garbage Sorting Intentionmentioning
confidence: 99%
“…In examining the effects of farmers' smartphone use on willingness to adopt DPDM, we obtain biased results by simply attributing the differences in outcomes between the treatment group (i.e., smartphone users) and the control group (smartphone nonusers) to treatment. Previous research on ICT (e.g., Internet, smartphone) adoption suggests that farmers are not randomly assigned to ICT user and nonuser groups (Hübler & Hartje, 2016; Leng et al, 2020; Ma & Zhu, 2020; Mwololo et al, 2019). Moreover, some of the determinants of ICT adoption can be observed from field surveys (e.g., age, education, and training participation), while others cannot be observed (e.g., innate ability and personal preference) (Cui et al, 2016; Ma & Zhu, 2020).…”
Section: Conceptual Framework and Estimation Strategymentioning
confidence: 99%