Reputation spillover effects from grant‐providing institutions

There is a broad academic discussion about the impact of funding grants from a foundation or a government department on individual support intentions toward the nonprofit organization receiving the grant. However, the role of the grant provider's reputation has frequently been overlooked. In this study, we experimentally tested whether there is a reputation spillover effect of a grant‐providing organization. Based on a real‐life example, we asked citizens to rate their willingness to donate to a nonprofit organization, and we experimentally manipulated the available information on funding sources. We test this for both a government department and a foundation as a grant provider. Our results suggest that not the act of receiving a grant, but the citizens' awareness about the funding organization—at least in the case of a foundation—has an impact on support intentions. In contrast, for a prominent government department as a grant provider, we did not find support for a reputation spillover effect.     

Multiplicative consistency analysis for interval fuzzy preference relations: A comparative study

To examine the multiplicative consistency of interval fuzzy preference relations (IFPRs), this paper first analyzes the limitations associated with the previous consistency concepts. Accordingly, a new consistency concept is defined that is an extension of the crisp case and overcomes limitations in the previous concepts. Next, a linear programming model to judge the consistency of IFPRs is constructed, and an approach to derive multiplicative consistent IFPRs is introduced. Furthermore, goal-programming models to determine missing values in an incomplete IFPR are constructed that have the highest consistent level with respect to known values. Moreover, a multiplicative consistency and consensus based method for group decision making with IFPRs is developed that can address incomplete and inconsistent cases. Finally, two practical decision-making problems are offered to demonstrate the feasibility and efficiency of the new method, and an analysis of a numerical and theoretical comparison with several related methods is performed.     

The older the bolder: Does relative age among peers influence children’s preference for competition?

Having been relatively old at school tends to have a long lasting positive effect on professional achievement, in particular in competitive environments (sports, politics). We investigate the roots of this pattern and study whether the relative age position of children at school plays a role in shaping their preference for competition. We run a controlled experiment in high schools across two states in Australia. Our participants are students who are the very oldest or very youngest in their classroom. We elicit their preference for competition using the Niederle and Vesterlund (2007) task and find evidence of an effect of relative age. This effect is concentrated on male students. We find no differences in self-confidence, and risk attitudes between relatively old and young students. These results suggest that the observed pattern may come from pure preference for competition.     

Social cohesion in Rwanda: Results from a public good experiment

We describe a public good experiment, a type of economic experiment commonly used to examine feelings of prosociality—that is, behaviour which is positive, helpful and intended to promote social acceptance and friendship—and community cohesion, carried out in Rwanda. Contributions in different parts of the country are affected by the local intensity of the 1994 genocide, with more generous contributions being made in areas where violence was greater. This supports earlier research indicating that conflict experience leads to greater prosociality. However, we also find that people who have not, themselves, been targets of violence give lower contributions than people who have. The considerable group‐related and regional differences in social behaviour may have implications for the country's policies to deal with social cohesion.     

当代女性择偶标准及其影响因素研究--基于365则女性征婚启事的内容分析

对2005年至2014年间刊登于五本杂志上的365则女性征婚启事进行内容分析和统计检验，发现在女性征婚者的自我陈述和择偶要求中，既有较为稳定的传统标准，也存在一些时代变化。女性自身的职业和文化程度提及率较高，择偶标准中道德品质和个性、个人素质等受到了更多关注。在社会资源方面，隐性的资源更被强调，择偶标准呈现多元化取向。在更年轻和文化程度更高的女性中，体现出了更具现代性的择偶标准。有婚史和有孩子的女性则更多地关注一些现实性的标准。     

特低渗透油藏 CO2 驱室内实验研究

针对大庆外围油田特低渗透油藏剩余油潜力大、井网加密效益差、水驱采收率低等问题，提出了特低渗透油藏 CO2驱技术。通过细管实验和天然岩芯 CO2 驱油实验，确定了 CO2 与高台子油田原油的最小混相压力，评价了特低渗透砂岩油藏 CO2 驱油效果。实验结果表明，CO2 驱可以应用于高台子油田，并取得较好的驱油效果。当天然岩芯空气渗透率为0.58 mD 时，在水驱基础上，气驱可以进一步提高采收率 8% 以上，特低渗透油藏实施 CO2 驱油技术是可行的。     

Dynamic Logit With Choice Aversion

We characterize a generalization of discounted logistic choice that incorporates a parameter to capture different views the agent might have about the costs and benefits of larger choice sets. The discounted logit model used in the empirical literature is the special case that displays a “preference for flexibility” in the sense that the agent always prefers to add additional items to a menu. Other cases display varying levels of “choice aversion,” where the agent prefers to remove items from a menu if their ex ante value is below a threshold. We show that higher choice aversion, as measured by dislike of bigger menus, also corresponds to an increased preference for putting off decisions as late as possible.     

发电成本垂直差异电力市场概率发电——基于大用户电量偏好视角

针对碳减排后普遍存在的发电成本垂直差异电力市场及其显著的大用户电量偏好差异,本文提出概率性电量供给以及与之对应的概率发电,并利用价格杠杆调控发电商低碳发电尤其高发电成本发电机会与供给效能不足.先后构建发电成本内、外生选择下的概率发电模型,求解发电商的电量供给均衡并分析概率发电策略的最优性.最后,将发电成本内生选择模型拓展到分解市场需求不确定性的概率发电模型.研究发现:相比基准发电,概率发电可以作为一种有利可图的发电容量过剩的解决方法,即使在发电成本内生选择时也是可行的;当发电商采用“强”成本差异的发电策略时,引入折中的概率发电会让产品线上成本水平相互更接近,且大用户的消费者剩余得到提高;与此相反,在市场中实施“弱”成本差异发电,发电商利用概率发电则增大成本分离并降低大用户的消费者剩余;在不确定性市场需求下,当偏好低发电成本电量的大用户对单位发电成本的估价相对于偏好高发电成本电量的大用户对单位发电成本的估价足够高时,概率发电可以以一种管理不利需求状况工具的身份出现.     

真实性偏好如何影响全球品牌中国元素产品的购买可能性?

在中国市场上,全球品牌本土化的现象越来越频繁.但在理论上,还少有研究分析中国消费者如何评价融入中国元素的全球品牌.为此,文章以认知—情感人格系统理论为框架,构建了包含真实性偏好、品牌本土象征价值、尊重品牌遗产和购买可能性的概念模型,试图探索其中的因果关系.实证研究表明,品牌本土象征价值认知—情感单元和尊重品牌遗产认知—情感单元均能提高购买可能性.真实性偏好高的消费者更容易通达品牌本土象征价值认知—情感单元和尊重品牌遗产认知—情感单元.尊重品牌遗产认知—情感单元有助于增强品牌本土象征价值认知—情感单元.文章不仅在理论上丰富了全球品牌相关研究,同时对实践也有战略指引.     

Symmetrical Design of Experiment in Global Sensitivity Analysis Based on ANOVA High-dimensional Model Representation

This article reviews symmetrical global sensitivity analysis based on the analysis of variance of high-dimensional model representation. To overcome the computational difficulties and explore the use of symmetrical design of experiment (SDOE), two methods are presented. If the form of the objective function f is known, we use SDOE to estimate the symmetrical global sensitivity indices instead of Monte Carlo or quasi-Monte Carlo simulation. Otherwise, we use the observed values of the experiment to do symmetrical global sensitivity analysis. These methods are easy to implement and can reduce the computational cost. An example is given by symmetrical design of experiment.