Given the rapid increase of residential energy consumption in Beijing, the question of how to promote residential energy-saving behavior is an emerging topic that is increasingly engaging the attention of scholars. To address this issue, this paper provides an empirical analysis that identifies and explores the determinants of an energy-saving behavioral intention among residents from the perspective of the theory of planned behavior (TPB). A theoretical model was constructed by refining and extending the classic TPB model according to the scope and requirements of this study and the existing situation in China. Survey data collected from 276 residents in Beijing were analyzed, and hypothesized relationships in the model were then verified using a structural equation model. The results show that subjective norms, environmental attitudes, information publicity, lifestyles, and perceived behavioral control significantly influence residents' energy-saving behavior, while demographic factors, such as educational background, household income, and age, had no obvious effects on behavioral intentions. Although knowledge regarding energy did not exert a direct influence on residents' energy-saving behavioral intentions, it did exert an indirect influence via environmental attitudes. Our results indicate that the role of households in saving energy expenditure should be emphasized, and financial incentives could be adopted to help promote environmental awareness among Beijing's residents. In addition, environment-friendly and energy-saving habits should also be inculcated. V C 2014 AIP Publishing LLC.
In recent years, the rapid development of online marketplaces has given rise not only to co‐opetitive relationships between sellers but also to information asymmetries between online marketplaces and sellers. This study studies information sharing in an e‐commerce setting consisting of an online marketplace, an upstream manufacturer and a reseller, where the online marketplace possesses superior demand information, while the manufacturer and reseller engage in a co‐opetitive structure. The reseller procures products from the manufacturer under a wholesale price contract, and both the manufacturer and reseller sell the products through the online marketplace by paying a proportional commission fee. We examine four information‐sharing scenarios: no information sharing (S1), full information sharing (S2), information sharing only with the manufacturer (S3), and information sharing only with the reseller (S4). Our analysis shows that when the intensity of competition between the manufacturer and reseller is relatively low and demand variability is moderate, the online marketplace prefers full information sharing; otherwise, it prefers to share its demand information only with the manufacturer. Moreover, interestingly, we find that the manufacturer always prefers the scenario with full information sharing to the scenario that endows her with an informational advantage over the reseller. In contrast, depending on the competitive intensity and demand variability, the reseller prefers either the scenario in which the online marketplace shares demand information with him only or that in which demand information is shared with the manufacturer only. Furthermore, we find that the equilibrium information‐sharing outcome can be either full information sharing or information sharing only with the manufacturer. The rationale behind these results hinges on the interactions among the signaling cost, efficiency effect, and co‐opetitive relationship between the manufacturer and reseller.
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