Influence factors for operational control and compensation in professional service firms

Professional service firms have distinct operational challenges due to the type of work that is transacted by the employees of these firms, and due to the nature of the employees themselves. In this paper, we develop and present factors that influence professional service operations in firms and compensation structures for professional service providers. We establish professional service influence factors, which we posit will impact agency relationships in professional service firms. That is, we hypothesize that professional service influence factors (PSIFs) will moderate the effect of task programmability and outcome measurability in predicting the use of behavior- or outcome-based compensation schemes (control strategy). Logistic regression is used on data provided by 192 professional service providers in order to examine the impact of the agency variables and moderating factors on control strategies. The results indicate that company- and profession-based factors have moderating effects on task programmability when predicting control strategy. We discuss the implications of our findings.     

Influence of equal or unequal comparison group sample sizes on the detection of differential item functioning using the Mantel–Haenszel and logistic regression techniques

In recent decades several methods have been developed for detecting differential item functioning (DIF), and many studies have aimed to identify both the conditions under which items may or may not be adequate and the factors which affect their power and Type I error. This paper describes a Monte Carlo experiment that was carried out in order to analyse the effect of reference group sample size, focal group sample size and the interaction of the two on the power and Type I error of the Mantel–Haenszel (MH) and Logistic regression (LR) procedures. The data were generated using a three-parameter logistic model, the design was fully-crossed factorial with 12 experimental conditions arising from the crossing of the two main factors, and the dependent variables were power and the rate of false positives calculated across 100 replications. The results enabled the significant factors to be identified and the two statistics to be compared. Practical recommendations are made regarding use of the procedures by psychologists interested in the development and analysis of psychological tests.     

物流银行金融服务创新解除中小企业融资障碍

通过对中国中小企业融资难和银行巨额存贷差的介绍,从分析中小企业融资困难的原因入手,研究物流银行在解决双重矛盾中的作用.根据逻辑论证法和案例分析法,对国内外物流银行业务发展实践作了理论总结.分析结果表明,物流银行业务对于解决中小企业融资难和提高银行效率具有重要意义,但成功开展物流银行业务对银行和物流公司的业务能力和风险防范能力提出了较高要求.     

基于政策情景的家庭乘用车能源回弹效应研究 ——来自长株潭城市群的调查数据

基于长株潭城市群的调查数据,测算在燃料消耗量为5.0L/100km情景下家庭乘用车的直接能源回弹效应,并采用二分类Logistic法分析影响家庭乘用车直接能源回弹效应的因素.结果表明:长株潭城市群家庭乘用车平均直接能源回弹效应为20%;不同居民家庭乘用车的直接能源回弹效应差别较大,存在超级节能、零回弹、部分回弹和回火效应;户主受教育水平、收入水平、购买新车意愿、车辆行驶里程、出行偏好等因素对家庭乘用车超级节能和零回弹效应影响显著.     

Detecting self-organisational change in economic processes exhibiting logistic growth

This paper offers an econometric methodology for the detection of self-organisational change (defined in terms of the presence of time irreversibility, structural change and fundamental uncertainty) in economic processes that follow logistic diffusion growth paths in historical time. The approach we adopted is built upon recent developments in `moving window' spectral methods which are applied to the scaled residuals generated by estimated logistic diffusion models. We illustrate the use of such methods by examining the case of a financial instrument, namely, the Australian Building Society Deposit, which experienced logistic growth in its market share until bank deregulation was enacted in the 1980s. We show that there is clear evidence that self-organisational change is present over the historical period considered.     

技术生命周期视域下领域介入方向与时机研究 ——以图像处理技术领域为例

从专利文献数据出发,以Logistic曲线模型为研究方法,实证分析图像处理领域的整体技术发展及分支技术生命周期进程。研究发现,图像分割、图像识别技术方向及生物识别应用领域处于成长期,图像增强、图像去噪、图像重建、图像融合技术方向处于技术成熟期,而图像复原、图像编码技术及通信、医疗、交通、工业及遥感应用领域已经进入技术饱和期。结合图像处理领域分支技术方向及技术生命周期进展,可为相关创新主体介入领域的方向及时机提供参考信息。     

陕西农户奶牛保险支付意愿的实证分析

陕西省于2007年7月在泾阳县实施了奶牛政策性农业保险的试点。本文按照条件价值评估方法,于2007年11月在泾阳县以支付卡式问卷调查对127户奶牛养殖户进行了实地调查,以调查数据为依据,测算了当地养殖户奶牛保险费用支付意愿,并运用Logistic回归模型分析了影响农户奶牛保险支付意愿的主要因素。结论认为,泾阳县奶牛保险试点中对畜龄2～8周岁奶牛实际征收保费标准低于养殖户平均支付意愿,是否接受保费、是否了解补贴、养殖户个体特征即受教育年限、养殖经验、年龄等是影响其保险支付意愿的主要因素。     

统筹城乡发展:理论演进与财税政策

新中国成立以来,非均衡发展的战略使我国形成了以二元户籍制度为核心的城乡分割的二元经济、社会体制。本文对二元经济理论的演进路径进行了梳理,提出我国财税政策要从保障城乡公民基本权利、促进劳动力自由流动、提高农业劳动生产率、加快农村专业化水平与分工等方面支持统筹城乡发展,并对财税体制进行相应变革。     

内蒙古入境旅游市场特征分析与预测

在分析内蒙古入境旅游市场发展总体特征的基础上,根据内蒙古1980-2009年入境旅游人数和入境旅游收入数据,利用Logistic模型对＂十二五＂期间内蒙古入境旅游业的发展进行了预测与分析,得到的结果能够帮助我们把握＂十二五＂期间入境旅游业的变动趋势,并寻求最佳的调控办法。     

Basket trading under co-integration with the logistic mixture autoregressive model

In this paper, we propose a co-integration model with a logistic mixture auto-regressive equilibrium error (co-integrated LMAR), in which the equilibrium relationship among cumulative returns of different financial assets is modelled by a logistic mixture autoregressive time series model. The traditional autoregression (AR) based unit root test (ADF test), used in testing co-integration, cannot give a sound explanation when a time series passes the ADF test. However, its largest root in the AR polynomial is extremely close to, but less than, one, which is most likely the result of a mixture of random-walk and mean-reverting processes in the time series data. With this background, we put an LMAR model into the co-integration framework to identify baskets that have a large spread but are still well co-integrated. A sufficient condition for the stationarity of the LMAR model is given and proved using a Markovian approach. A two-step estimating procedure, combining least-squares estimation and the Expectation-Maximization (EM) algorithm, is given. The Bayesian information criterion (BIC) is used in model selection. The co-integrated LMAR model is applied to basket trading, which is a widely used tool for arbitrage. We use simulation to assess the model in basket trading strategies with the statistical arbitrage feature in equity markets. Data from several sectors of the Hong Kong Hang Seng Index are used in a simulation study on basket trading. Empirical results show that a portfolio using the co-integrated LMAR model has a higher return than portfolios selected by traditional methods. Although the volatility in the return increases, the Sharpe ratio also increases in most cases. This risk–return profile can be explained by the shorter converging period in the co-integrated LMAR model and the larger volatility in the ‘mean-reverting’ regime.