Suchergebnisse

The European Union (EU) views the carbon border adjustment mechanism (CBAM) as a measure to tackle carbon leakage, which will have a profound impact on non-EU countries' exports. Policymakers are faced with the question of how to deal with the CBAM. In contrast to previous studies, we explore the effects of the CBAM on non-EU countries from a dynamic game perspective. This study analyzed the potential effects of the CBAM on China and found that the government and export companies are the two main stakeholders. We found that they can both choose whether to respond actively or passively. Based on their interactive relationship, we adopted an evolutionary game to model the nexus between the government and export companies. We analyzed the evolutionary stable state of each stakeholder and the whole game with the replicator dynamic equation system. To make the system evolve to the optimal state where the government reacts actively and export companies implement low-carbon production, we provide a policy mechanism for how to set key parameters' values. We used numerical simulation to verify the policy design and to conduct sensitivity analyses of the key parameters. Our results show that, when two stakeholders positively react to the CBAM, it is necessary to increase their profits and to reduce their costs. Therefore, some suggestions are proposed, including optimizing the trade structure, strengthening cooperation with the EU, improving the current carbon market, and adopting carbon tax.

To assess the impact of the online car-hailing services on the environment in China, in this paper, we develop a model to evaluate greenhouse gas (GHG) emissions and emission reduction during the production and use of car-hailing, as a result of increased online bookings. Since energy use differs according to type of vehicle, this paper also contains different scenarios that depict degrees in the regulation stringency according to the Chinese Preliminary Rules on the Management of Online Car-Hailing, regional differences, and development of electric vehicles. The results show that, under the three different scenarios, the online car-hailing service would have the highest GHG emissions of 325, 413, or 160 MtCO2 and the highest reduction in emissions of 19.46, 25.1, or 9.48 MtCO2 by 2030. The government needs to encourage the development of online car-hailing to reduce the purchase of private cars, avoid compulsory actions to shut down online car-hailing platforms, and mandate that only electric vehicles (EVs) can be used for online car-hailing.

An inverse relationship between self-evaluation and depression has been established in previous research. In this study we tested hypotheses that social support acts as a mediator between self-evaluation and depression. A sample of 538 undergraduates completed a series of questionnaires
to measure self-evaluation, depression, and social support. As predicted, correlations were found for self-evaluation, depression, and social support. Social support was shown to be a partial mediator in the relationship between self-evaluation and depression thus supporting our hypotheses.

More than a year after its appearance and still rampant around the world, the COVID-19 pandemic has highlighted tragically how poorly the world is prepared to handle systemic risks in an increasingly hyper-connected global social-ecological system. The absence or clear inadequacy of global governance arrangements and mechanisms is painfully distinct and obvious. In this short article, we summarize a set of COVID-19 pandemic-related analyses and lessons that are inspired by Chinese practice. First, strong government response is one of the most important methods to control a pandemic. Second, countries should be concerned about human-to-frozen goods-to-human transmission. Third, sharing resources and experiences through cooperation is crucial to ensure an adequate health response. Based on these insights, we stress the critical importance of coordination and cooperation, and call for a global network to enhance integrated human health risk resilience.

We examine consumers' evaluations of identical products at different types of retailers using Amazon's launch of its fashion division. Drawing on product reviews of brand items carried by Amazon (the general merchandise online retailer) and Macy's (the traditional fashion-oriented department store), we compare the topics in the reviews as important product attributes of consumer evaluations and examine the effects of these topics on ratings. We show that the product topics mentioned for identical products are generally different between Amazon and Macy's in terms of their proportions and tone. Also, the different topics discussed at the retailers lead to different ratings, with lower evaluations for Amazon. By demonstrating the significant characteristics of the retailers, we provide managers with insights on developing and maintaining competitive advantages for the general retailer and specialty retailers.

NPP's power supply system is repairable and there is common cause failure between the components. The repair rate is introduced and total signaling is considered in the improved GO-FLOW method, aimed at reliability analysis for NPP's power supply system. Traditional GO-FLOW operators' algorithms are improved. Comprehensively considering the effect of total signaling flow in the power supply system, the equivalent reliability parameter model and common cause failure probability model of multimodal repairable components are constructed. The improved GO-FLOW model of NPP's power supply system is set up. Based on the proposed model, components' reliability parameters are computed. The failure probability time-varying trend in thirty years, respectively, of NPP's offsite power source and power supply system, is simulated and analyzed. Compared with calculation results of dynamic fault tree analysis method, the validity and the simplicity of the improved GO-FLOW method are verified. The effectiveness and applicability of the improved GO-FLOW model for NPP's power supply system are proved by simulation examples.