商科90后大学生选择财会专业的影响因素辨析

以个性独特的商科90后大学生为研究对象,采用实证研究辨析“财会热”背景下其是否选择财会专业的影响因素,可以发现学生是否选择财会专业的决定因素是人格特质,其中事物倾向的学生会选择财务专业,人际倾向的学生更有可能选择非财会专业;工作可获得性、初始工资、工作稳定性等情境因素也是影响学生是否选择财会专业的重要因素,但并不是决定因素;此外,虽然性别和父母意见也对学生是否选择财会专业产生影响,但作用有限。     

地方文化如何融入幼儿园区域游戏——以淄博市为例

以淄博市为例,探讨地方文化与幼儿园教育活动的融合路径,认为应根植地方文化,开发具有地方特色的幼儿园区域游戏,特别是大力彰显地方传统游戏的历史文化精神,并通过区域游戏架起幼儿与地方文化双向创生的桥梁,一方面积极推进地方文化精神的永续传承,另一方面积极促进幼儿精神世界的健康成长。     

Continuous Time Wishart Process for Stochastic Risk

Risks are usually represented and measured by volatility–covolatility matrices. Wishart processes are models for a dynamic analysis of multivariate risk and describe the evolution of stochastic volatility–covolatility matrices, constrained to be symmetric positive definite. The autoregressive Wishart process (WAR) is the multivariate extension of the Cox, Ingersoll, Ross (CIR) process introduced for scalar stochastic volatility. As a CIR process it allows for closed-form solutions for a number of financial problems, such as term structure of T-bonds and corporate bonds, derivative pricing in a multivariate stochastic volatility model, and the structural model for credit risk. Moreover, the Wishart dynamics are very flexible and are serious competitors for less structural multivariate ARCH models.     

中国城镇家庭收入增长益贫性形成机制研究

 借助社会福利函数对益贫式增长测度的可分解性,结合中国健康与营养调查（CHNS）提供的家庭就业率、劳动参与率、劳动报酬率、劳动时间等微观数据,追溯居民收入形成的劳动力市场特征要素,将居民收入和各劳动力市场特征的效用性、公平性与增长的损益相结合,应用要素分解模型阐释中国新世纪以来城镇家庭收入增长的益贫性及其形成机制,由此得到更具针对性的收入益贫式增长政策启示。     

上证50ETF隐含高阶矩风险对股票收益的预测研究

高阶矩是刻画资产收益涨跌非对称和“尖峰厚尾”现象中不可忽略的系统性风险。本文基于我国上证50ETF期权数据采用无模型方法估计隐含波动率、隐含偏度和隐含峰度,通过自回归滑动平均模型提取期权隐含高阶矩新息(Innovations),将它们作为高阶矩风险的度量,探讨其对股票收益的预测作用。研究表明:①在控制换手率和股息率等变量后,隐含波动率对于上证50指数和市场未来4周的超额收益有显著负向的预测作用;②隐含偏度新息越低,上证50指数和市场的超额收益越高,这种预测能力在未来1周和未来4周均显著,但随着时间的推移,隐含偏度新息的预测能力逐渐下降;③隐含偏度风险对于我国股市横截面收益也有显著的解释能力,投资组合在隐含偏度风险因子上的风险暴露越大即因子载荷值越大,则未来的收益会越低;④隐含峰度新息总体上与股票收益负相关。     

Attitudes to debt among indebted undergraduates: A cross-national exploratory factor analysis

This paper reports the results of a cross-national study spanning England, New Zealand and the United States. A total of 496 first year undergraduates studying business or social science completed a 20-item questionnaire. This focused on their attitudes to their debt incurred while studying, as measured on a five-point Likert scale. A factor analysis model was developed, from which four consistent factors emerged, explaining 45 percent of the variation and consistent between countries. These factors were named: Anxiety, Utility-For-Lifestyle, Utility-For-Investment and Awareness. The first three factors were found to be uncorrelated with each other, but higher Awareness was associated with lower levels of Anxiety and Utility-For-Lifestyle and higher levels of Utility-For-Investment. The relationship with previous studies and implications for theory and practice are discussed.     

Using the End‐User Computing Satisfaction (EUCS) Instrument to Measure Satisfaction with a Web Site

The purpose of this study is to revise and revalidate the End‐User Computing Satisfaction (EUCS) instrument to measure satisfaction with a Web site from a usability perspective. This study is especially important given the increased significance of the Web and the uniqueness of the Web as a computing environment. A total of 176 students participated in a lab simulation that involved a usability evaluation of the Lands' End Web site ( http://www.landsend.com ). Students were asked to complete a set of tasks, record their answers, and then complete the EUCS instrument. Confirmatory factor analysis and invariance analyses were conducted to test the reliability, validity, and generalizability of the revised EUCS. The results show that the EUCS is a valid and robust instrument in the Web environment but that one of the subfactors, timeliness, will need further refinement in the future. Usability practitioners can use the EUCS to measure end‐user satisfaction with a Web site and use the feedback for improving Web‐site design. We describe a case study of an actual usability application that utilized the revised EUCS effectively to support the design of building supply Web sites involving two types of end users, homeowners and contractors. We also propose a typology that researchers can use as a starting point to judge when it is necessary to revalidate an instrument like the EUCS. Finally, we discuss the limitations of our study and present avenues for future research.     

数字经济、空间效应与全要素生产率

当前,数字经济蓬勃发展,已成为经济增长的新动能。本文从数字产业化与产业数字化 两个维度,采用主成分分析法构建了数字经济发展水平的指标体系,并利用2004-2017年我国省际面板 数据,在克服内生性问题的基础上,实证分析了数字经济发展对全要素生产率的影响。研究发现,数字 经济发展显著促进了全要素生产率的提升。但较之高生产率地区和东部地区,数字经济发展对低生产率地区和中西部地区全要素生产率的提升作用更大。就机制而言,人力资本投资与产业结构升级是数 字经济影响全要素生产率的两个渠道。进一步的空间计量分析表明,数字经济发展不仅会提升本地区 的全要素生产率,还存在显著的空间溢出效应,有助于提升邻近地区的全要素生产率。本文的研究为评估数字经济发展的影响效果提供了数据支撑和分析视角,也为探寻全要素生产率的提升路径提供了政策参考。     

回流意愿、迁移成本与农民工汇款——一个区间回归模型分析

利用《广东省企业用工情况调查》数据和区间回归模型,文章考察了中国农民工汇款的关键影响因素及汇款动机。结果表明：迁移目标是农民工汇款量的核心决定因素,有回流意愿农民工的汇款要明显高于没有回流意愿的农民工;工资、当地工作时间和当地生活成本是影响农民工汇款的关键因素,工资越高,当地工作时间越久,农民工汇款量越高,但随着当地生活成本的上升,农民工汇款量受到较大的削弱;社会保险尚未成为农民工汇款决策的考虑因素,外出务工距离对有回流意愿农民工的汇款行为有一定影响。