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doi: 10.3390/su11123279
Increased health risks and obesity resulting from soft drink consumption have received considerable attention worldwide. The purpose of this empirical study was to explore the antecedents of soft drink anticonsumption behavior in China using structural equation modeling techniques by analysis of moment structures (AMOS). Soft drink anticonsumers think that these drinks are unhealthy, and consumer attitude and behavioral intention towards anticonsumption behavior were found to be significant. Individual and sociocultural factors were also positively associated with anticonsumption of soft drinks in China. Future studies could examine gender differences in anticonsumption behavior. A large sample size would be more reflective in other contexts. Regarding health and obesity-reduction concerns, this study provides useful implications for marketers and policymakers. Soft drink marketers can integrate obesity-reduction efforts through social marketing. This study has put forward a conceptual framework for soft drink anticonsumption behavior focusing on health concerns and the effect of sociocultural factors on anticonsumption.
soft drinks, individual factors, sustainability, anticonsumption, sociocultural factors
soft drinks, individual factors, sustainability, anticonsumption, sociocultural factors
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 11 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |