基于5W2H和ESCRI法在企业安全管理中的应用分析

为了系统的分析事故发生的原因,本文在基础工业工程的方法之上,通过5W2H提问技术对G企业的安全事故从类型、发生地点、时间、责任人、造成损失方面进行分层提问、回答,弄清楚问题的现状。然后再运用ESCRI法对安全事故管理流程进行取消、简化、合并、重排、新增来改善和探讨改进的可能性。丰富并发展了安全管理的方法,并具取得了很好的效果。     

“We are all so different that it is just … normal.” Normalization practices in an academic hospital in the Netherlands

Internationally, academic hospitals are giving increasing attention to diversity management. This paper sheds light on the actual praxis of cultural diversity management by professionals in workplace interactions. An ethnographic study in a Dutch academic hospital showed that normalization practices were obscuring diversity issues and obstructing inclusion of cultural minority professionals. The normalization of professionalism-as-neutral and equality-as-sameness informed the unequal distribution of privilege and disadvantage among professionals and left no room to question this distribution. Majority and minority professionals disciplined themselves and each other in (re)producing an ideal worker norm, essentialized difference and sameness, and explained away the structural hierarchy involved. To create space for cultural diversity in healthcare organizations in the Netherlands and beyond, we need to challenge normalization practices.     

Impact of foreign direct investment on greenhouse gas emissions in agriculture of developing countries

This research analyses the impact of foreign direct investment on greenhouse gas emissions in the agriculture sector of developing countries. Panel data from 63 developing countries for the period 2005 to 2014 was used to estimate a dynamic econometric model by applying a system‐generalised method of moments. The empirical results indicate a positive impact of foreign direct investment in agriculture on the carbon dioxide equivalent emission intensity in developing countries. The results provide weak support for the pollution havens hypothesis and imply the importance of coordination between foreign direct investment and environmental policies.     

Interaction between securitization gains and abnormal loan loss provisions: Credit risk retention and fair value accounting

This study investigates whether managers use asset securitization gains to substitute loan loss provision (LLP) management for earnings management, and, if so, whether the percentage of credit risk retained affects such a relationship. The literature provides evidence that managers have used securitization transactions to boost earnings. Using 2001?2014 data for a sample of bank holding companies, I find that managers use securitization gains and LLPs as partial substitutes and that earnings management from securitization gains grows at an increasing rate to substitute income increasing LLP management as the level of risk retention increases. These findings are consistent with the argument that the higher the level of risk retention, the greater the potential impact on achieving earnings targets, given banks’ exercise of discretion over securitization gains through estimation of fair value of retained interest. In addition, I document that the substitution effect between the two tools is non‐existent in the post‐SFAS 166/167 period. Taken together, the findings have timely implications for accounting standards by informing the effect of risk retention that I measure through earnings management techniques. Moreover, my findings provide additional support for improved disclosures on assets‐backed securities.     

Factors driving embodied carbon in international trade: a multiregional input–output gravity model

ABSTRACT

Concerns about the effects and consequences of climate change have notably increased in recent decades. Despite large advances in the understanding of this phenomenon, further research into the determinants of gas emissions is necessary, to shed light on the responsibilities of producers and consumers, and their potential contribution to mitigation strategies. This paper studies the trajectories and determinants of carbon embodied in world trade during a period of 15 years. Our methodology relies on a multiregional input–output model, environmentally extended. Drawing on data from the World Input–Output Database, we estimate embodied emissions in bilateral flows. Then, we assess the determinants of CO₂ emissions embodied in trade, combining input–output modelling with trade gravity panel data analysis. This paper offers a methodological approach that explains and quantifies the underlying factors of carbon trade, integrating the production and consumption perspectives and considering the geographical, structural and institutional context of countries.     

Best classification algorithms in peer-to-peer lending

A proper credit scoring technique is vital to the long-term success of all kinds of financial institutions, including peer-to-peer (P2P) lending platforms. The main contribution of our paper is the robust ranking of 10 different classification techniques based on a real-world P2P lending data set. Our data set comes from the Lending Club covering the 2009–2013 period, which contains 212,252 records and 23 different variables. Unlike other researchers, we use a data sample which contains the final loan resolution for all loans. We built our research using a 5-fold cross-validation method and 6 different classification performance measurements. Our results show that logistic regression, artificial neural networks, and linear discriminant analysis are the three best algorithms based on the Lending Club data. Conversely, we identify k-nearest neighbors and classification and regression tree as the two worst classification methods.     

我国M2现状及未来趋势浅析

对我国当前M2快速增长的原因,从经济发展、居民储蓄和外汇储备等三个方面进行深入分析,并在此基础上对未来发展趋势进行预测分析。     

The mechanism of credit risk contagion among internet P2P lending platforms based on a SEIR model with time-lag

The credit risk contagion of Internet peer-to-peer (P2P) lending platforms is an important part of Internet financial risk management and supervision. This study analyzes the contagion path of credit risk in Internet P2P lending. Based on complex network theory and the theory of infectious disease dynamics, the characteristics of Internet P2P lending development are combined to construct a SEIR model of credit risk transmission among Internet P2P lending platforms with time lag, and the robustness of the model is analyzed and proven. The influence of platform correlations, the susceptible immune rate, the platform elimination rate, contagion latency, the saturation coefficient, and the susceptibility input rate on credit risk contagion behavior among Internet P2P lending platforms is analyzed, using the equilibrium point and threshold value. The impact of each variable is analyzed by simulation. Corresponding countermeasures and suggestions are proposed to prevent and control credit risk contagion among these platforms.     

Brand fidelity: Scale development and validation

The goal of this research is to develop and validate a multi-dimensional scale measure of brand fidelity. This paper reports the rigorous process of scale development, through two separate studies involving 592 US consumers. Study 1 involves scale item generation, content validation and scale purification, while Study 2 involves a two-wave data collection method, evaluating the refined brand fidelity scale within a nomological network of relationships. The results demonstrate the 20-item brand fidelity scale to have strong construct validity as a first-order reflective, second-order formative scale. The findings suggest that if consumers engage in the behaviours/cognitions (as defined within the brand fidelity scale), then consumer/brand relationships are likely to be stable and predictable; are likely to endure the ravages of time; and, importantly, are likely to remain monogamous. For practitioners, the overall brand fidelity score can be used to track brand performance over time and for industry benchmarking purposes. Additionally, the measured brand fidelity dimensions provide specific direction upon which remedial marketing action can be implemented.