Consumers’ online impulsive buying behavior has become more and more frequent in the digital era. There is increasing concern regarding the adverse consequences that impulsive buying has generated for consumer wellbeing and the sustainability of our society and environment. In search of a way to decreasing impulsive consumption, this article proposes a comprehensive framework to explore the potential determinants of online impulsive buying behavior from the perspective of consumer characteristics grounded on the literature on sustainability, psychology and consumer behavior. Through an online survey, a total of 425 valid responses were obtained. Extroversion and neuroticism in personality, negative emotions, collectivism in culture and the cognitive and affective factors of impulsive buying tendency are found to be positively correlated with impulsive buying behavior, whereas self-control shows a negative impact on impulsive buying behavior. Furthermore, this study identifies the mediating roles that negative emotions and collectivism play. Specifically, in addition to the direct routes, neuroticism, self-control and the affective factor of impulsive buying tendency can indirectly influence impulsive buying behavior through the mediation of negative emotions, whereas extroversion can indirectly affect impulsive buying behavior with collectivism as the mediator. To conclude, theoretical and practical implications of this research are elaborated to promote sustainable consumption from both the micro and macro perspectives.
This paper investigates carbon productivity (CP) from the perspectives of industrial development and urbanization to mitigate carbon emissions. We propose a hybrid model that includes a spatial lag model (SLM) and a fixed regional panel model using data from the 17 provinces in the central and western regions of China from 2000 to 2018. The results show that the slowly increasing CP has significant spatial spillover effects, with High–High (H–H) and Low–Low (L–L) spatial distributions in the central and western regions of China. In addition, industrial development and urbanization in the study area play different roles in CP, while economic urbanization and industrial fixed investment negatively affect CP, and population urbanization affects CP along a U-shape curve. Importantly, the results show that the patterns of industrial development and urbanization that influence CP are homogenous and mutually imitated in the 17 studied provinces. Furthermore, disparities in CP between regions are due to industrial workforce allocation (TL), but TL has been inefficient; industrial structure upgrades are slowly improving conditions. Therefore, the findings suggest that, in the short term, policymakers in China should implement industrial development policies that reduce carbon emissions in the western and central regions by focusing on improving industrial workforce allocation.
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