中日城市供水系统静态效率的对比研究

文章运用DEA方法，评价了北京、东京、上海以及横滨等城市2003年-2005年间供水系统的静态效率，发现日本三个城市供水系统的效率要高于中国三个城市的效率，造成这种状况的原因主要在于中国的水价体系还不够完善，供水企业收益不能完全回收其成本。     

推进公平是市场经济体制下政府的重要职能

推进公平是政府在市场经济体制下必须履行的重要职能 ,政府推进公平是协调经济利益关系、维持社会稳定的需要 ,是提高效率的保证 ,是对“市场缺陷”的弥补。公平是发展社会主义市场经济的最终目标之一。政府干预市场是为了实现效率与公平的兼顾与协调。为防止两极分化 ,我国政府须在推进起点公平、结果公平、环境公平上应采取切实可行的措施。     

我国农村金融市场效率研究——从金融促进农村经济发展的角度

本文认为判别与评价我国农村金融市场效率应该从下面两个方面进行研究：一是我国农村金融对农村经济的促进作用；二是我国农村金融市场的金融资源的均衡。从金融促进农村经济发展的角度。实证发现我国农村金融市场的效率低于全国金融市场的效率水平，主要由于农村正规金融机构的发展水平低下、农村金融市场的需求低下和农村金融市场的“高风险低效益”等因素所导致。因此，建议：发展中小金融机构，弥补正规金融的不足：创新金融工具，聚集农村金融需求；建立农村金融风险补偿制度，降低金融风险；改革金融定价和补贴政策，提高农村金融收益水平。     

铁电体热机的等温等电压循环效率

本文用电介质热力学理论导出了等压等容过程中，处在居里点附近的单电畴铁电体的热力学量．应用这些热力学量计算了由两个等温和两个等电压过程组成的铁电体循环的效率．结果表明，该循环的效率就是卡诺效率．     

基于时间学的思想政治教育时间规律新探

随着即时网络时代的到来，思想政治教育学要实现现代转型，探究者必须紧跟时代行进的步履，发扬探赜索隐、钩深致远的精神，深入揭示和科学应用思想政治教育新规律尤其是时间规律。基于时间学，从社会背景条件、教育对象、教育者、管理者角度去考察，思想政治教育时间规律群大致包括思想政治教育一定要适合时代发展状况规律、思想政治品德形成发展的时间规律、对人们进行思想政治教育的时间规律和思想政治教育时间管理规律等四大类型的一级时间规律。其中，每一类型的一级规律包含诸多二级规律或曰子规律。自觉把握和科学应用这些规律，有助于推动思想政治教育不断从实然状态向应然状态、从必然王国向自由王国飞跃。     

A new approach to statistical efficiency of weighted least squares fitting algorithms for reparameterization of nonlinear regression models

We study nonlinear least-squares problem that can be transformed to linear problem by change of variables. We derive a general formula for the statistically optimal weights and prove that the resulting linear regression gives an optimal estimate (which satisfies an analogue of the Rao-Cramer lower bound) in the limit of small noise.     

Work performance and tax compliance in flat and progressive tax systems

Different tax systems, and their impact on work motivation and tax compliance are significant issues in contemporary political and economic debates. The proportional feature of a flat tax system is assumed to lead to higher performance, while the fairness of the redistributive progressive tax system is assumed to result in higher tax compliance. However, empirical findings on the topic are inconclusive. Both work performance and tax compliance under different tax systems were examined in an experiment, with special attention devoted to the effect of a change in tax systems. A flat tax system was supposed to induce greater work performance, whereas a progressive tax system was expected to increase tax compliance based on fairness perceptions, allowing for the opposite effect due to higher complexity. Furthermore, it was assumed that performance and tax payments would be influenced by motives of self-interest. The design included 20 rounds with a real-effort task in each round, determining participants’ experimental income. Participants (N = 191) made decisions about their tax payments from round-to-round in four different experimental conditions: (1) a flat tax system, (2) a progressive tax system, (3) starting with a flat and changing to a progressive, and (4) starting with a progressive and changing to a flat tax system. Results indicate higher work performance in a progressive system. However, a change from a progressive tax system to a flat system led to increased tax compliance.     

Record-breaking data: a parametric comparison of the inverse-sampling and the random-sampling schemes

In many industrial quality control experiments and destructive stress testing, the only available data are successive minima (or maxima)i.e., record-breaking data. There are two sampling schemes used to collect record-breaking data: random sampling and inverse sampling. For random sampling, the total sample size is predetermined and the number of records is a random variable while in inverse-sampling the number of records to be observed is predetermined; thus the sample size is a random variable. The purpose of this papper is to determinevia simulations, which of the two schemes, if any, is more efficient. Since the two schemes are equivalent asymptotically, the simulations were carried out for small to moderate sized record-breaking samples. Simulated biases and mean square errors of the maximum likelihood estimators of the parameters using the two sampling schemes were compared. In general, it was found that if the estimators were well behaved, then there was no significant difference between the mean square errors of the estimates for the two schemes. However, for certain distributions described by both a shape and a scale parameter, random sampling led to estimators that were inconsistent. On the other hand, the estimated obtained from inverse sampling were always consistent. Moreover, for moderated sized record-breaking samples, the total sample size that needs to be observed is smaller for inverse sampling than for random sampling.     

Finite Sample Performance of tests for Symmetry of the Errors in a Linear Model

The finite sample performance of a number of tests for symmetry of the distribution of the errors of a linear model is considered. The first family of tests is based on the discrepancy between two regression fits. The first fit is appropriate under symmetric errors while the second is appropriate for skewed as well as symmetric error distributions. The second family of procedures consists of tests for the univariate symmetry problem. Thus, in the linear model setting these tests are based on residuals. An extensive empirical study of the finite sample, null behavior of the tests is presented. The results of a power comparison among the tests is also discussed.     

On partial linear additive isotonic regression

In this paper we discuss semiparametric additive isotonic regression models. We discuss the efficiency bound of the model and the least squares estimator under this model. We show that the ordinary least square estimator studied by Huang (2002) and Cheng (2009) for the semiparametric isotonic regression achieves the efficiency bound for the regular estimator when the true parameter belongs to the interior of the parameter space. We also show that the result by Cheng (2009) can be generalized to the case that the covariates are dependent on each other.