不同空间聚类算法在识别优质集聚基本农田图斑中的应用及对比研究

研究目的:探索基于不同空间聚类指数排序识别空间集聚的高质量永久基本农田保护图斑,以期为当前国土空间规划中永久基本农田调整补划和布局优化提供方法借鉴。研究方法:分别利用规则空间聚类算法Local Moran’s I和Getis-Ord Gi*以及非规则空间搜索聚类算法AMOEBA构建能在地块尺度上同时反映耕地质量及其空间集聚信息的表征指数,设计相应的排序优选方案,进而快速识别指定数量的永久基本农田保护图斑,并进行对比及邻域敏感性分析。研究结果:(1)基于AMEOBA算法输出聚类指数并设计相应的排序方案能在研究区识别空间上更为集聚同时具有较高质量的永久基本农田保护图斑;(2)基于邻接关系的邻域定义方式能在研究区取得比基于空间距离的邻域定义方式更好的识别结果。研究结论:应用空间聚类算法计算同时指示耕地质量高低及其空间聚散性的地块级表征指数,并设计相应优选排序方案识别高质量集聚永久基本农田保护图斑是有效可行的。     

Linking corporate reputation and shareholder value using the publication of reputation rankings

Good corporate reputation is one of the most valuable assets and causes a multitude of favorable impacts within different stakeholder groups. As a consequence, a lot of studies analyze the relationship between corporate reputation and financial performance. However, most of them raise the question of causation due to their methodology. In order to isolate the causal impact of corporate reputation on financial performance, some authors conduct event studies, but without remarkable success. Therefore, this study provides initially a comprehensive theoretical background for why reputation should affect financial performance. According to the resulting hypotheses, an event study is conducted to analyze the impact of the publication of reputation rankings by the German Manager Magazin on share prices. As hypothesized, positive and negative announcement effects exist regarding upgraded or downgraded companies respectively. Consequently, investors gain new information from the published rankings (increases or decreases in reputation) to adjust share prices.     

电力企业数字档案系统选型评价方法研究——以华能大连电厂为例

针对电力企业数字档案馆建设过程中档案系统选型难的问题。本文从电力企业的内外部环境出发,结合系统选型的三个决策目标,构建了一套适合电力企业档案系统选型的评价指标体系,并运用改进后的权衡排序法对华能大连电厂开展实例验证研究。研究表明,该方法可以很好地解决决策阶段指标权重和指标值确定的问题,而且每一步研究都有事实依据支撑。系统实施运行后的反馈结果表明,该方法选出的档案系统可以解决电力企业档案管理中存在的问题,电厂对系统和系统提供商满意度高。该研究对其它电力企业的档案系统选型也具有一定的参考价值。     

Evaluating an analytic–deliberative risk‐ranking process in a Chinese context

In previous research, a deliberative process for integrating stakeholder perspectives in the ranking of risks was introduced and empirically tested with lay groups composed predominantly of Americans. In this paper, we explore the viability of this process with lay groups of Chinese, because previous research has shown that Americans and Chinese differ substantially along many dimensions of cognition and social organization relevant to decision‐making. Using 10 environmental hazards based on current Chinese environmental regulatory programs as the risk domain, five groups of 8–9 participants ranked hazards using both holistic and multi‐attribute approaches. Results show that (1) risk rankings from the holistic and multi‐attribute approaches are consistent, (2) participants indicate that they are satisfied with the procedures and resulting rankings, and (3) agreement between participants increases over the course of the ranking exercise. Results for Chinese participants were compared with previously reported results for Americans to look for cultural effects involving deference to technical expertise and quantitative analysis, and skepticism toward public participation in policy‐making. Although there were some hints of cultural differences, neither difference significantly affected measures of the method’s validity or replicability. Because this process offers a scientifically sound and measured approach to stakeholder involvement in risk management, it may be attractive to Chinese leaders as they respond to growing demand for public participation in the policy‐making process. Whether Chinese citizens would consider the process described here to be satisfactory in a real policy context remains to be tested.     

Discovering Implicit Criteria Preferences Reflected in Tourism Journal Ranking Lists using the Choquet Integral

Variations between journal rankings may cause confusion. As such, prior attempts were made to compare and evaluate journal ranking criteria for obtaining insightful knowledge on how different research communities have ranked journals. However, existing approaches are unable to model the journal ranking process closely enough as they are incapable of considering the relationship between multiple criteria simultaneously. In this paper, we address the challenges by introducing the Choquet Integral (CI) for evaluating journal ranking criteria. The new approach is able to account for interactions between criteria in relation to overall ranking score, using a fuzzy measure in its computation. Its properties, the Shapley value and the Interaction index, allow for good representations of importance and interactions between criteria. We demonstrate the efficiency of the CI through a case study of journal ranking lists in tourism and service journals.     

The influence of management journals in the 1980s and 1990s

It is difficult to get a clear picture of the relative influence of management journals because previous studies have focused on a single sub‐area in the field over a relatively restricted number of years, and/or have used inconsistent criteria to judge journal influence. Therefore, the purpose of this study is to examine journal influence using citations from 28 journals over the past two decades. The findings show that the top seven journals accounted for 61 percent of all of the citations in the journals included, and that the three journals that showed the greatest increase in influence over the past 20 years were AMJ, AMR, and SMJ. Copyright © 2005 John Wiley & Sons, Ltd.     

An alternative quality of life ranking on the basis of remittances

Remittances provide an essential connection between people working abroad and their home countries. This paper considers these transfers as a measure of preferences revealed by the workers, underlying a ranking of countries around the world. In particular, we use the World Bank bilateral remittances data of international salaries and interpersonal transfers between 2010 and 2015 to compare European countries. The suggested least squares method has favourable axiomatic properties. Our ranking reveals a crucial aspect of quality of life and may become an alternative to various composite indices.     

基于集对分析的项目风险排序方法

风险排序是项目风险管理的重要环节。在综述已有方法的基础上，提出一种基于集对分析的风险排序方法，计算了各种风险的联系度，建立两步循环算法，对项目风险按大小进行排序。最后，用一个实例说明了本方法的实用性。     

Assessing Contestability of Electoral Outcomes

This article applies Saaris geometric methodology to assess how muchdifference the choice of a particular positional voting procedure makeson the election outcomes. The British 2001 parliamentary elections are usedas an illustration of the methodology. The election results as well as MORIinterview data are used to make inferences regarding the possibility ofthe Borda effect. Saaris geometricrepresentation technique is resorted to in describing all possiblepositional voting outcomes in single-member constituencies where threecandidates are competing. Finally, two basic winning criteria are discussed.     

Technical efficiency of Norwegian banks: The non-parametric approach to efficiency measurement

The nonparametric frontier methodology is applied to a sample of banks, where output levels are measured either by the number of accounts and their average size, or by the total balances of the accounts. The efficiency rankings of individual banks are found to depend substantially on our choice of output metric, whereas the estimated size of potential productivity improvements in the banking sector are less affected. The results on economies of scale are also largely unchanged.The refereeing process of this paper was handled through S. Grosskopf.