风险投资家的最优激励契约模型研究--一种基于逆向选择和道德风险条件下的博弈模型分析

为减少风险投资融资中风险投资家的逆向选择和道德风险,风险投资者必须设立一套有效的激励机制来让风险投资家选择,从而根据风险投资家选择的结果来甄别其真实能力类型,同时又能激励其努力工作。文章建立了风险投资家能力类型和努力都是不可观测条件下的最优激励契约模型,并根据显示原理,利用最优控制理论求出了最优解进而进行了分析。得出的结论是:最优激励契约能使高能力风险投资家乐于选择具有高强度激励、低固定收入和风险小的项目,同时又能激励其签约后更加努力工作。     

Integrating ecosystem services into conservation assessments: A review

A call has been made for conservation planners to include ecosystem services into their assessments of conservation priority areas. The need to develop an integrated approach to meeting different conservation objectives and a shift in focus towards human wellbeing are some of the motivations behind this call. There is currently no widely accepted approach to planning for ecosystem services. This study contributes towards the development of this approach through a review of conservation assessments and the extent to which they include ecosystem services. Of the 476 conservation assessments identified by a set of search terms on the Web of Science, 100 were randomly selected for this review. Of these only seven had included ecosystem services, while another 13 had referred to ecosystem services as a rationale for conservation without including them in the assessment. The majority of assessments were based on biodiversity pattern data while 19 used data on ecological processes. A total of 11 of these 19 assessments used processes, which could be linked to services. Ecosystem services have witnessed an increase in attention received in conservation assessments since the year 2000, however trends were not apparent beyond this date. In order to assess which types of ecosystem services and how they have been accounted for in conservation assessments, we extended our review to include an additional nine conservation assessments which included ecosystem services. The majority included cultural ecosystem services, followed by regulatory, provisioning and supporting services respectively. We conclude with an analysis of the constraints and opportunities for the integration of ecosystem services into conservation assessments and highlight the urgent need for an appropriate framework for planning for ecosystem services.     

The politics of redistributive social insurance

This paper analyses the political support for a social insurance that includes elements of redistribution when there exists an imperfect private insurance alternative. Individuals differ both in their income and risk. The social insurance is compulsory and charges an income-related contribution with pooling of risks. The private insurance is voluntary and charges a contribution based on individual risks. However due to the adverse selection problem, private insurance companies provide only partial insurance. Adopting a non-expected utility model, we show that there is a general majority support for social insurance and that this support is increasing with risk aversion. We also show that a mixed insurance is politically impossible, regardless of the degree of redistribution of social insurance and the joint distribution of risk and income in the population. Lastly, we analyse how the political support for social insurance is affected by any change in its redistributive component and the possibility of using genetic tests.     

Selection dynamics and adaptive behavior without much information

This paper uses the experimental method to investigate behavior in a coordination game when the information available to subjects is limited to their feasible choices and their experienced payoffs. In the experiment subjects converge to an absorbing state at rates that are orders of magnitude faster than reinforcement learning algorithms, but slower than under complete information. This state is very close to a mutual best response outcome. All cohorts converged to the market statistic predicted by the interior equilibrium regardless of the information conditions or the stability conditions. Eric Battalio programmed the graphical user interface. The National Science Foundation and Texas Advanced Research Program provided financial support. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation or the Texas Advanced Research Program.     

基于生命周期的虚拟企业知识活动分析及其伙伴选择过程研究

随着新经济的到来,知识越来越成为企业快速响应市场机遇和获取竞争优势的最短缺资源.而企业自身知识资源的有限性使企业越来越多地采用虚拟企业的高级形态--知识联盟型虚拟企业来弥补企业知识资源的不足以快速响应变化的市场需求.本文首先对知识联盟型虚拟企业的知识缺口类型进行研究和划分,然后分析并描述虚拟企业生命周期各阶段的知识活动;在此基础之上,探讨虚拟企业组建阶段考虑知识要素的伙伴选择过程;最后,针对不同的知识缺口,提出伙伴选择过程的评价指标体系设计中应考虑的知识性因素.     

国家支持的中部地区老工业基地的界定与选择

本文提出了国家政策支持的中部地区老工业基地的界定原则、必要条件、选择标准和量化指标,并对中部31个老工业基地城市进行了综合排序,最后对国家政策支持的中部地区老工业基地的振兴提出了分批压茬进行等政策措施。     

中小企业融资次序的选择

文章在分析国内外融资次序理论研究的基础上,结合国情及中小企业特点,采用比较分析、效率分析等方法,探讨选择国内中小企业的融资次序。     

遗传模拟退火算法在配送中心选址中的应用

物流配送中心是现代物流系统的枢纽,而配送中心地址的确定是物流系统分析的核心内容.合理的配送中心选址可以降低企业的运营成本,本文根据配送中心地址问题的特点和要求,提出用遗传模拟退火算法解决选址模型.最后通过一个实例求得了模型的最优解,验证了该算法的有效性.     

Seasonal decomposition and forecasting of telecommunication data: A comparative case study

In this paper, forecasting models for the monthly outgoing telephone calls in a University Campus are presented. The data have been separated in the categories of international and national calls as well as calls to mobile phones. The total number of calls has also been analyzed. Three different methods, namely the Seasonal Decomposition, Exponential Smoothing Method and SARIMA Method, have been used. Forecasts with 95% confidence intervals were calculated for each method and compared with the actual data. The outcome of this work can be used to predict future demands for the telecommunications network of the University.     

利率市场化中的风险转移与商业银行风险规避

利率市场化通过对利率管制下扭曲利率的校正 ,实现了资源的有效配置 ,促进了经济增长。然而利率市场化以后 ,基准利率的确定、利率的波动趋势以及外资金融机构的进入 ,将使商业银行面临风险转嫁的可能。商业银行必须适时建立起完善的风险防范和风险管理制度。