水电工程移民收入测算模型构建及其应用研究

移民安置的目标已不再仅仅是按照水库蓄水的要求如期将淹没区居民和有关企、事业单位迁出库区,而且还要特别关注移民生产生活水平的恢复与提高。本文在构建水电工程移民收入测算理论模型以及第一手调查数据资料的基础上,建立符合实际经济社会发展状况的西南地区水电工程移民收入的测算模型,研究成果可以在西南地区水电工程移民收入的测算中推广。收入测算的结果也可以为移民政策的调整、改革及完善提供依据。     

从第三方支付发展看上海国际金融中心建设

互联网时代第三方支付的发展,揭示了企业"控制用户信息流以控制支付流,控制支付流以控制资金流;获得用户网络接入权胜过获得资本所有权,获得数据投入量胜过获得资金投入量"的新规则。大平台日益成为金融机构控制用户信息流、获得用户网络接入权的重要载体,在平台组合上加载信用有关数据流日益成为形成金融机构风险管理能力的重要生产资料。在互联网时代推进上海国际金融中心建设,既要继续重视金融机构集聚,更要注重鼓励企业赢得全国性用户网络接入权,加强平台组合,增强信用数据流。上海应依托自贸试验区推进互联网金融监管创新;牵头建立长三角征信联盟集团公司;搭建本地金融机构网聚平台。     

Family identification facilitates coping with financial stress: A social identity approach to family financial resilience

Family financial stress research has typically examined negative effects of deprivation on mental health, which in turn erode financial coping. While this work acknowledges family support’s role in buffering these effects, it has typically overlooked how family identification can act to structure the experience of, and response to, economic challenge. We adopt a Social Identity approach, arguing that family identification predicts increased social support and improved well-being, which predicts more effective coping with financial problems. We explore this in two community surveys (N = 369; N = 187). In the first we show that stronger family identification and support predict better well-being, which predicts better evaluation of economic coping. In the second we replicate these findings, and also show that the relationship between well-being and financial distress is fully mediated by perceptions of ‘Collective Family Financial Efficacy’. These findings point to a more positive understanding of how family cohesion can promote mental well-being/resilience.     

Childhood exposure to the Second World War and financial risk taking in adult life

Adverse childhood experiences might have long-lasting effects on decisions under uncertainty in adult life. Merging the European Survey on Health, Ageing and Retirement with data on conflict events during the Second World War, and relying on region-by-cohort variation in war exposure, we show that warfare exposure during childhood is associated with lower financial risk taking in later life. Individuals who experienced war episodes as children hold less – and are less likely to hold – stocks, but are more likely to hold life insurance, compared to non-exposed individuals. Effects are robust to the inclusion of potential mediating factors, and are tested for nonlinearity and heterogeneity. Moreover, we provide evidence of hedonic adaptation to war, as high and low intensity of war exposure have comparable long-term effects. We also document that war exposure in childhood increases sensitivity to financial uncertainty since exposed-to-war individuals are less likely to hold stocks after periods of high volatility. Finally, we shed light on the most likely mechanism in the relationship between war exposure and financial risk taking – i.e., enhanced sensitivity to uncertainty – and we show that preferences, and not beliefs, channel this relationship.     

How do countries choose their monetary policy frameworks?

This paper investigates the determinants of countries’ choices of monetary policy framework. A brief narrative focused on groupings of countries motivates an econometric analysis which draws on previous work on the determinants of exchange rate regimes, bringing in standard factors as well as the trade networks of potential anchor currency blocs and the financial market depth that are emphasised in the narrative. The model turns out to be able to predict three quarters of countries’ choices, and there is no obvious systematic pattern in the errors. The results have important implications for how countries should choose their monetary policy frameworks.     

Restaurant Revenue Management at Chevys: Determining the Best Table Mix

Revenue management has been used in a variety of industries and generally takes the form of managing demand by manipulating length of customer usage and price. Supply mix is rarely considered, although it can have considerable impact on revenue. In this research, we focused on developing an optimal supply mix, specifically on determining the supply mix that would maximize revenue. We used data from a Chevys restaurant, part of a large chain of Mexican restaurants, in conjunction with a simulation model to evaluate and enumerate all possible supply (table) mixes. Compared to the restaurant's existing table mix, the optimal mix is capable of handling a 30% increase in customer volume without increasing waiting times beyond their original levels. While our study was in a restaurant context, the results of this research are applicable to other service businesses.     

Linking young individuals' capital to investment intentions: Comparing two cultural backgrounds

By integrating the Entrepreneurial Intentionality Model and the Theory of Planned Behaviour, we explored the effects of human, social and financial capital on young individuals' investment intentions in two groups (97 English and 97 Greeks). Results indicated that human capital is directly and indirectly related to investment intentions via, first, subjective norms and, consequently, personal attitudes and perceived behavioural control, while social capital is only indirectly related to investment intentions via perceived behavioural control. In the individualistic group (English), human capital related directly and positively with investment intentions while social capital related indirectly to investment intentions via its positive relationship to subjective norms. With regard to participants from a collectivistic background (Greeks), human capital related indirectly to investment intentions via, first, subjective norms and, consequently, personal attitudes and perceived behavioural control, while social capital related directly and indirectly to investment intentions via perceived behavioural control. Financial capital was only negatively related to investment intentions in the total and Greek sample.     

基于RS与ANN的上市公司财务困境预测模型的实证研究

本文以中国上市公司作为研究对象,采用粗糙集理论(RS)客观选出预测模型指标体系,以因财务状况异常而被列为特别处理公司(ST公司)作为界定上市公司的财务困境标志,采用人工神经网络(ANN)寻找最佳的利用公开财务数据预测中国上市公司财务困境的模型。我们的研究结果表明,总资产报酬率等18个包括现金流量类指标的财务指标有较强的区分财务困境公司和财务健康公司的能力;行业类型和资产规模对于上市公司财务困境预测具有至关重要的作用;运用ANN建立的神经网络模型有较强和较稳定的预测能力。     

WTO框架下会计国际化的中国困境与创新

本文通过分析WTO对各国会计制度的要求,探讨了WTO框架下中国会计国际化所带来的四大困境；并试图从制度变迁成本的角度,提出了以制度借鉴为主线的中国会计国际化创新战略的基本原则,进一步给出了中国会计国际化创新战略实施的路径设计图。文章认为,充分利用国际会计资源解决我国的现实问题,减少我国会计国际化变迁的成本,应该是后WTO时代中国会计国际化制度困境突破与创新的基本路径取向。