Planning food services for a campus setting

Providing appropriate food services in a campus setting is increasingly important due to more demanding customers and because clients have less time to go off-campus when they need to eat. Using a university campus as an example, this research looks at customer satisfaction with existing food services and explores various methods for determining where to locate new facilities. This campus currently has great needs for additional food services, and it is shown clearly where additional food services are required. Also, the methods used are compared in terms of their effectiveness in finding the solution.     

养老保险金替代率研究

养老保险金替代率是指一定地区当年离退休(含退职，下同)人员的养老金平均水平与该地区当年职工平均工资水平的比率，其是否合理，将影响到养老保险制度安排和政策取向。养老保险金替代率目标的确定，将受到一个国家或者地区的社会保障水平和经济发展水平等因素的影响。按照中国对基本养老保险制度改革的总体思路，未来基本养老保险金替代率目标确定为60％左右。目前，中国基本养老保险金替代率目标已经接近制度改革的目标，北京市的基本养老保险金替代率明显低于全国水平。企业退休金的替代率又明显低于事业和机关单位的退休金替代率，并呈现持续下降的趋势，应当设法进行遏止。     

打造人力资源金三角 获取企业竞争优势

本文从企业核心竞争力的阐释出发，提出了企业未来制胜的金三角，即组织智商(OIQ)、组织情商(OEQ)以及组织心商(OSQ)，并进一步阐释了各自的内涵、表现及意义。并在此基础上，提出了系统构建企业获取竞争优势金三角的路径依赖。     

Technical analysis as the representation of typical cognitive biases

The present research provides a justification for the popularity of the technical analysis. It finds that financial analysts firmly discriminate between two types of technical signals—those based on typical cognitive biases and “empty” signals that sound like a technical analysis but are without any connotation with psychological inclinations.At the same time that they treat them differently, different analysts rate these items very similarly. These results suggest that the popularity of technical analysis is associated with its relation to the typical cognitive biases of humans.     

城镇化水平与农民收入的相关性研究

城镇化水平与农民人均收入存在着密切关系，即城镇化水平越高，农民人均收入越高；城镇化水平越低，农民人均收入越低。因此，要增加农民人均收入，就必须提高城镇化水平，特别是提高中西部省份的城镇化水平。文章主要运用统计学中的回归分析方法来阐述这一观点。     

物流标准化对物流企业竞争力提升的作用分析

物流标准化问题已成为制约我国物流发展的瓶颈问题之一,而物流产业的发展需要产业内的公司的竞争力的持续提升,由产业组织经济学对企业竞争力的解释框架,可得出企业竞争力的市场表现主要有成本优势、差异优势和领先优势三个方面。本文将分别从这三个方面分析物流标准化对物流企业竞争力提升的作用。     

乡镇财政困难：现状、原因、出路——以安徽省为例

乡镇财政困难主要有收入下降、支出膨胀以及债务负担沉重等方面的表，就其原因从其关联性有根本原因、主要原因、重要原因、直接原因以及导火索等五个方面。对此，笔者认为解决乡镇财政困难的出路可以在分析原因的基础上，结合其表现来具体分析。     

On the Role of Weight Restrictions in Data Envelopment Analysis

This paper examines the role that weight restrictions play in Data Envelopment Analysis (DEA). It is argued that the decision to include a factor (input or output) in a DEA model represents an implicit judgement that the factor has a non-trivial weight. It therefore seems perverse to allow DEA to assign a trivial weight to that factor in assessing the efficiency of a unit. There is therefore a strong case for imposing restrictions on factor weights. However, many existing methods of weight restriction are in practice unwieldy. This paper proposes an alternative approach we term contingent weight restriction which is both practical and intellectually consistent with the DEA philosophy. The paper explores the implications of alternative methods of weight restriction using simulated data from a well known production process.     

On modeling incentive systems which utilize pollution charges for pollution abatement

This paper examines a scheme of economic incentives for environmental protection, in which spatially differentiated pollution taxes are in use in compensating the pollution abatement costs. A simple mathematical model is described which determines an incentive system that encourages polluters to reduce the discharges to an acceptable level of ambient quality standards in a cost-effective manner. It is shown that the vector of pollution charges has to be proportional to the marginal abatement cost vector, but is smaller than the latter in magnitude. It is demonstrated that a necessary incentive effect may be achieved even if the total pollution charge is much lower (about three times) than the total abatement costs. It is also estimated how this charge incentive system reconciles conflicting criteria of cost-effectiveness and of equity. These conclusions are verified by numerical experiments with real data.