The major determinants of logistic performance in a global perspective: evidence from panel data analysis

The global logistics industry has grown significantly and logistics has become an important sector of the business economic system and a major global economic activity in recent years. Logistics activities accelerate economic and productivity growth. Efficient logistics is also important to a country’s competitiveness and source of employment. The purpose of this paper is to uncover and understand the major determinants of logistics performance (LP) to further lift the LP of countries. Using unbalanced panel data of 93 selected countries from 2007 to 2014, the present research attempts to critically investigate the major determinants of LP. In estimating the model, this study prefers to use static panel data approach owing to limited data. The findings of the present study reveal that (a) countries with low level of corruption and stable political environment are likely to yield a high level of LP; (b) improvement in resources supply such as infrastructure, technology, labour, and education also have a significant positive effect on LP. Therefore, institutional reforms and upgrading resources will effectively accelerate LP.     

Does travellers’ casual attribution affect pre-recovery emotions and behavioural intentions? A field study of airline travellers in Malaysia

This study examines the relationship between airline travellers' casual attribution, pre-recovery emotions, and negative behavioural intentions after a service failure and proposes a model for analysing direct effects of airline travellers' casual attribution of stability (failure frequency) and controllability (the extent to which the airline can control the failure) on negative behavioural intentions as well as its indirect effects through pre-recovery emotions. Data were gathered through a survey of airline travellers who experienced a failure in the past six months. The results indicate that both dimensions of casual attribution influenced pre-recovery emotions and negative behavioural intentions, and that pre-recovery emotions were significantly related to negative behavioural intentions. In addition, the results verify the mediating effect of pre-recovery emotions on the relationship between casual attribution and behavioural intentions. These results have important managerial implications.     

An experiment on the role of tourist attribution: Evidence from negative nature-based incidents

More so than previously, in recent years tourists have been exposed to unexpected adverse situations, such as political instability, caused by the destination. Many aspects of the destination experience do not involve service delivery and product consumption; thus, such an experience needs to be treated uniquely. Acknowledging that the effects of tourists’ inner psychological processes in this context are crucial, this study applies attribution theory to examine how tourists make sense of negative incidents caused by the destination’s natural incidents. The results show the crucial effects of globality attribution in predicting the levels of satisfaction.     

新疆样本县（市）农户借贷行为调查分析

本文通过对新疆玛纳斯县、呼图壁县、吉木萨尔县、吐鲁番市、托克逊县农村信用社和农户的实地调查,对农户的借贷需求行为进行了分析,得出了农户借贷行为的特征。本文认为农户的经济行为特征和资金需求特征对其金融需求具有十分重要的影响。     

日元升值预期下日本国际投资策略与特点

1971年至1995年期间,日元处于急剧升值阶段,在此之后的十多年里日元升跌互见,整体波动缓和,2008年初以来日元持续升值。在日元升值预期的作用下,自20世纪90年代以来,日本加大了海外直接投资的力度,近2/3的资金流向了经济比较发达的国家和地区。与海外直接投资相比,日本的证券投资规模较大,占海外资产总额的近五成,其投资组合策略注重汇率风险管理,始终保持了一贯的连续性,重视资产的安全性和回报率。日本也加快了以其他方式向海外输出资本的步伐,按照国际收支状况的统计口径,这些投资包括对外贷款、贸易信贷、货币及存款和其他资产,其规模仅次于海外证券投资。研究表明,日本的海外投资区域分布和币种选择体现了分散投资、降低风险的特点,也在较大程度上降低了汇率风险。     

信贷渠道对我国股票市场的影响

信贷渠道是我国货币政策主要的传导渠道。货币政策通过传导渠道对股票市场产生影响。本文运用协整与基于向量自回归模型的格兰杰因果检验和预测方差分解等时间序列分析方法,实证分析信贷渠道对股票市场的影响,结果表明信贷渠道对我国股票市场产生显著的负相关影响。     

我国商业银行外部信用风险测度分析

银行作为债权人将资金放贷给企业,企业无法按时偿还本金,由此带来的风险称为信用风险。本文选择了44家配对上市公司,采用KMV模型对上市公司的信用风险进行度量,实证结果显示,KMV模型对于度量上市公司信用状况具有一定的适用性,但如果将KMV模型与PFM模型相结合,KMV模型使用的范围更加广泛。针对外部信用风险产生的原因,本文还给出了减小外部信用风险的建议。     

降雨作用下土石混合体边坡力学参数弱化规律与稳定性分析

土石混合体边坡地质灾害是中国最为常见的地质灾害之一,而降雨是其主要诱发因素,降雨条件下边坡劣化机理研究是防灾减灾领域的重要研究方向.通过分析不同含水率条件下土石混合体力学性质试验数据,建立抗剪强度参数随含水率的演化方程;以此为基础,针对西南地区典型土石混合体边坡,考虑降雨条件下力学参数弱化的影响,采用Geostudio软件开展边坡稳定性分析.结果表明:演化方程能有效反映含水率增大对土石混合体抗剪强度具有显著的弱化效应;降雨强度的增大会显著降低边坡稳定性,降雨持时只是降雨过程中某一时刻值的体现,对边坡稳定性影响不大;降雨量与边坡安全系数呈明显线性负相关.研究成果可为土石混合体边坡地质灾害预测与防治提供技术支撑.     

结构性违约、信用分层与评级机构的策略性反应——来自中国信用债市场的证据

2014年以来,以主要集中于民企的"结构性违约"宣告了中国信用债市场刚性兑付的"结构性打破",债券市场进入了新的发展阶段。利用2013-2017年债券数据,本文深入分析了结构性违约对评级机构行为和效率的影响,主要有如下发现：首先,信用评级的市场公信力会因政府隐性担保导致的"刚性兑付"而削弱;其次,结构性违约爆发之后,信用评级的整体效率有所提升,但在不同发行主体呈现分化,对于非城投类企业,信用评级对发行利差的影响显著增大,意味着评级公信力的显著提升,而对于城投类企业,评级效率并未明显改善;进一步研究表明,出现这种情况的原因在于评级机构在违约后采取了差异化的评级策略,对于违约风险较大的非城投类债券,评级机构倾向采取"收紧评级"的策略;对于违约风险较低的城投债,评级机构倾向于采取"放宽评级"的策略。这种策略性行为是导致市场"信用分层"的重要原因,并有可能推升民营企业的融资成本。     

网络环境下企业信用信息系统浅析

现代信息技术特别是网络技术的发展为信用信息的管理提供了极大方便。本文分析了企业信用信息的主要特点和企业信用信息管理的业务流程,并在此基础上提出了企业信用信息管理系统的基本层次结构及其实现技术问题。