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Non-fossil fuels are receiving increasing attention within the context of addressing global climate challenges. Based on a review of non-fossil fuel consumption in major countries worldwide from 1985 to 2015, the purpose of this paper is to analyze trends for global non-fossil fuel consumption, share of fuel consumption and inequality.

The similarities were obtained between the logarithmic mean divisia index and the mean-rate-of-change index decomposition analysis methods, and a method was proposed for complete decomposition of the incremental Gini coefficient.

Empirical analysis showed that: global non-fossil fuel consumption accounts for a small share of the total energy consumption, but presents an increasing trend; the level of global non-fossil fuel consumption inequality is high but has gradually declined, which is mainly attributed to the concentration effect; inequality in global non-fossil fuel consumption is mainly due to the difference between nuclear power and hydropower consumption, but the contributions of nuclear power and hydropower to per capita non-fossil fuel consumption are declining; and population has the greatest influence on global non-fossil fuel consumption during the sampling period.

The main contribution of this study is its analysis of global non-fossil fuel consumption trends, disparities and driving factors. In addition, a general formula for complete index decomposition is proposed and the incremental Gini coefficient is wholly decomposed.

This conceptual paper aims to present a model and propositions regarding the positive effect of team mindfulness on team commitment and how team respectful engagement moderates the positive effect of team mindfulness on team commitment.

This is a conceptual study that presents a model and propositions from an exploration of the previous literature by using the conservation of resources (COR) theory and the broaden-and-build theory.

The contribution of this study shows that team mindfulness has a positive effect on team commitment. Then, when team respectful engagement is high, it strengthens the positive effect of team mindfulness on team commitment. When team respectful engagement is low, it weakens the positive effect of team mindfulness on team commitment.

The limitation of this research is that it only explains the causal relationships related to team mindfulness, team commitment and team respectful engagement through propositions built from the synthesis of various previous studies, without empirically confirming those relationships.

Teams should consider mindfulness training, such as mindfulness-based stress reduction. In addition, managers should also pay great attention to team respectful engagement, so that the interactions within the team are based on respect.

Limited research has been conducted to propose the model and propositions related to team mindfulness, team commitment and team respectful engagement by using the COR theory and the broaden-and-build theory.

In the current dynamic business environment, Internet of Things (IoT) is employed by a number of companies in the logistics industry to achieve intelligent sorting, network optimization, real-time tracking and simplifying last-mile service. Although logistics entities are trying to introduce IoT into their business areas, users' perception of this new technology is still limited. This paper aims to develop a research model for the factors influencing the user adoption of IoT technology in the logistics industry.

In this study, based on the major theories on the application of new technologies such as technology acceptance model (TAM), technology–organization–environment (TOE) and innovation diffusion theory (IDT), a new research model was established to identify factors affecting customers' behavioral intention (BI) to adopt IoT technology provided by logistics companies. In addition, the authors surveyed unspecified customers of Cainiao Logistics Network, which is in charge of the logistics operation of Alibaba Group, China's largest e-commerce company, and tested the causality between the latent variables presented in the model using the structural equation model (SEM).

This empirical study shows that the support system of a logistics company and users' innovative propensity significantly affect perceived ease of use (PEOU) and BI for logistics services to which IoT technology is applied. It also presents that users' perceived security and enjoyment significantly affect perceived usefulness (PU) and BI. In addition, it was possible to confirm that the causal structure between variables suggested by TAM that PEOU has a significant effect on PU and BI, and PU has a substantial effect on BI.

Logistics companies should expand and upgrade technical support systems so that customers can flexibly accept logistics services with IoT technology and make efforts to alleviate customers' concerns about personal information leakage. In addition, it is necessary to find customers with an inclusive attitude toward using new technologies, to induce them to become leading users of logistics devices with IoT technology and to find various ways to amplify their enjoyment. Through a strategic approach to these technical and individual factors, it will be possible to boost customers' intention to use IoT logistics services.

As far as the authors know, this paper is the first study to set significant factors that affect users' BI to use IoT technology-applied logistics services provided by logistics companies and empirically analyze the causal relationships between proposed latent variables.

The shipper selects a suitable shipping route and plans for a voyage in order to import and export cargo on the basis of published sailing schedules. The reliability of the sailing schedule will influence the shipper’s logistics expense, which means that the logistics costs will depend on the reliability of schedules published by container shipping companies. Therefore, it is important to consider factors which can cause delays would for container ships sailing on sea routes. The reliability of published sailing schedules can be affected by a number of different factors. This study adopts the multi-criteria decision making (MCDM) method to estimate the importance of the delaying factors in a sailing schedule. In addition, the consistent fuzzy preference relations (CFPR) method is applied to identify the subjective importance (weights) of the delaying factors. The entropy weight method combined with the actual performance of the container shipping company are both used when estimating the objective importance (weights) of the delaying factors. According to the analysis results, the criteria can be divided into four quadrants with different management implications, which indicate that instructions for chase strategy, sailing schedule control, fleet allocation, transship operation arrangement and planning for ports in routes are often ignored by container shipping companies. Container shipping companies should consider adjusting their operational strategies, which would greatly improve their operational performance.

This study aims to investigate the environmental effects of climate financial fragmentation in the form of emerging multilateral institutions.

Among the countries that have economic relations with China, those involved in climate finance cooperation are taken as the experimental group, and those not involved in other areas are taken as a control group. Using system generalized method of moments regression, the difference-in-differences method is used to test the environmental effects of climate finance cooperation of emerging multilateral institutions. In this way, this study explores the financial and trade mechanisms of cooperation among emerging multilateral institutions.

The results of this empirical study show that the cooperation of emerging multilateral institutions has a positive impact on the environment. Research results further reveal the financial and trade mechanisms of climate finance cooperation projects. When the invested countries are more likely to obtain international capital, environmental effects will be greater. However, trade intimacy could inhibit the improved environmental effects.

This research is one of the few studies to test the environmental effects of climate financial fragmentation empirically. This study provides a better understanding of the multilateral cooperation of emerging economic entities and China’s climate finance policy, thus providing evidence for the collaborative governance of global climate finance.