电商主导型供应链金融的合作收益协调机制研究

电商供应链金融是缓解中小企业融资压力及优化金融服务的重要途径,合理的收益协调机制是加强电商供应链金融合作强度的重要保障。本文以电商主导型供应链金融合作模式为研究对象,基于契约理论及合作博弈理论,在Shapley值法基础上,引入鼓励金契约及风险承担因子,结合参与方的努力水平及投入程度,运用云重心法对利益分配方式进行协调。经算例表明,引入风险承担因子、努力水平及投入程度的利益协调机制的合理性及有效性；各主体风险承担及投入的越多,获得收益越高。该结论将有助于处理好各方利益关系,激发其合作积极性,对进一步构建和谐的电商供应链金融合作机制具有现实意义。     

阻塞管理中交易调整模型的统一描述及其对比分析

交易调整模型的合理构建是采用交易计划调整的阻塞消除方法实现的关键.在现有交易调整模型的基础上,提出了阻塞管理中交易调整模型的统一描述.它可以包括Pool交易模式、双边/多边交易模式及Pool 双边/多边交易模式下现有的各种交易调整模型,而且通过模型中相应参数的不同选取,可构建出新的交易调整模型,为阻塞消除方法的分析和研究提供了一个全面的模型框架.基于该模型框架,给出了比较交易调整模型的3个性能评价指标,即市场收益、市场操纵行为对市场收益的影响和市场参与者的自由选择程度.通过对现有交易调整模型的分析和评价,显示出Pool 双边/多边交易模式下的交易调整模型的性能总体上优于只有Pool交易或者双边交易模式下的交易调整模型.     

基于委托—代理模型的供应商选择机制

在市场条件下,企业作为一个经济行为主体需要根据实际情况来考虑是否要与位于供应链上游的供应商进行商务合作或交易。企业选择供应商的过程是一个交易双方在信息不对称条件下的博弈过程,要受到市场条件下其他因素所构成的特定的自然状态的影响。依托"委托—代理"模型的理论思想,构建了企业的供应商选择模型,既考虑了博弈双方的利益分布情况,同时还考虑了市场背景下主要因素对买卖交易双方的制约,并依照逆推归纳法分析了供应商选择机制模型的博弈过程。     

不确定性风险、事前投资与期货交易

基于事前专用性投资的套牢问题，建立了一个上下游企业的交易模型.运用最新的合同经济学理论，分析了企业可能面临的3种交易模式：市场交易，事后再谈判剩余的交易模式；合约交易，双边的合约交易模式；期货交易，多边的合约交易模式.结果表明：前2种交易模式，由于不能避免专用性投资的收益共享，造成了上下游企业的投资不足问题；第3种交易模式将专用性投资的一部分风险转移到了第三方，使上下游企业的期望收益仅依赖于各自的投资水平，即上下游企业与第三方分别签订了一份独立于自然状态的选择权合同，而此种交易机制可以消除事前投资的无效率；期货市场的存在有利于上下游企业的经济活动.     

企业跨国并购中的博弈论

企业跨国并购可以看做是各利益相关方的博弈过程,企业并购的博弈过程实质是不完全信息下的动态博弈。本文在对并购过程参与主袜的理性假定进行了充分界定后,以博弈论为分析框架,通过建立简单的并购模型和动态博弈并购模型由浅入深的分析并购博弈过程,并为企业跨国并购提供一些参考意见和建议。     

中小企业技术创新的经济学分析 ——基于政企相关利益博弈分析

基于政府监管中小企业技术创新的角度,以博弈论为基础,通过构建技术创新监督博弈模型,运用不完全信息动态博弈方法,分析了技术创新监管博弈模型中政府和中小企业两个利益主体之间的博弈关系,进而得出政府通过提高监督效率,降低监督成本,加大处罚力度来促使中小企业按照政府预定的目标进行技术创新,最终实现双边共赢。在模型分析的基础上提出了改善中小企业技术创新监管的建议,以促进中小企业进行技术创新。     

竞争型城市供水企业效率博弈分析

城市供水企业提供的产品具有准公共物品的属性，从而决定了在这个领域可以引入竞争．竞争型企业则以企业自身利益最大化作为经营目标、利用博弈论和贝叶斯的方法，先建立一个非完全信息动态博弈模型，分析竞争型企业的行为，然后利用贝叶斯方法对企业行为进行预测判断，得出在某些条件下，竞争型企业介入城市供水领域对社会而言是一种有效率的动态组织演进形式。     

水资源优化配置的冲突问题博弈分析

力求通过建立完全信息动态博弈模型求解水资源冲突分析问题.博弈模型主要针对一条河流上、下游为了分享水资源,从各自要求出发,提出的解决方案与流域管理机构进行协调之间的用水冲突问题,力求通过流域管理机构的水资源费率和宏观调控的水权交易价格,求解水资源可持续发展情况下的市场均衡模型.以此达到有水资源费率和水权交易两种调控手段的情况下各决策者追求自身利益的结果.     

基于博弈分析的物流多Agent招投标报价研究

从博弈分析角度出发,研究了物流多Agent招投标过程在完全信息和不完全信息下的博弈问题,探讨了基于最低报价策略的博弈、基于“联盟体”报价策略的博弈和“联盟体”瓦解报价策略的博弈。结果表明,通过引入两种惩罚机制,可以有效瓦解招投标过程中存在的“联盟体”报价情形。完全信息与不完全信息下的多Agent招投标报价,其博弈过程及博弈方式对“阳光企业”招投标而言具备很强的指导意义。     

电子商务中信用模式选择的博弈分析

电子商务是一种新的经营理念和商务模式,信用是制约电子商务进一步发展的主要瓶颈。在电子商务中交易者选择何种信用模式是虚拟市场中交易双方相互博弈的结果。完全信息下的静态博弈和动态博弈结果表明:电子商务交易者的双方交易决策是相互影响的,交易一方对另一方的交易行为都会做出积极的反应,买方的选择往往决定卖方的选择;动态博弈时,卖方选择何种信用模式的临界点是卖方诚实信用模式的短期收入与社会平均投资利润率的比值。     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

海南岛地体及其毗邻陆缘晚中生代—新生代古地磁研究和构造演化

本文叙述了对海南岛及其毗邻大陆边缘白垩纪到第四纪地层岩石进行古地磁研究的全部工作过程。通过分析岩石中剩余磁矢量的磁偏角及磁倾角的变化,提出海南岛白垩纪以来经历的构造演化模式如下:早期伴随顺时针旋转而向南迁移,后期伴随逆时针转动并向北运移。联系该地区及邻区的地质、地球物理资料,对海南岛上述的构造地体运动提出以下认识:北部湾内早期有一拉张作用,主要是该作用使湾内地壳显著伸长减薄,形成北部湾盆地。从而导致了海南岛的早期构造运动,而海南岛后期的构造运动则主要是受南海海底扩张的影响。海南地体运动规律的阐明对于了解北部湾油气盆地的形成演化有重要的理论和实际意义。     

Exciton Seebeck in Molecular Systems

Various applications relevant to the exciton dynamics,such as the organic solar cell,the large-area organic light-emitting diodes and the thermoelectricity,are operating under temperature gradient.The potential abnormal behavior of the exicton dynamics driven by the temperature difference may affect the efficiency and performance of the corresponding devices.In the above situations,the exciton dynamics under temperature difference is mixed with     

Achieving Unusual States of Matter Under High Pressure

The elongation method,originally proposed by Imamura was further developed for many years in our group.As a method towards O(N)with high efficiency and high accuracy for any dimensional systems.This treatment designed for one-dimensional(ID)polymers is now available for three-dimensional(3D)systems,but geometry optimization is now possible only for 1D-systems.As an approach toward post-Hartree-Fock,it was also extended to     

《Chinese Science Bulletin》SUBJECT INDEX TO VOLUME 59(2014)

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An on-line scaling method for improving scalability of a database cluster

The explosive growth of the Internet and database applications has driven database to be more scalable and available, and able to support on-line scaling without interrupting service. To support more client's queries without downtime and degrading the response time, more nodes have to be scaled up while the database is running. This paper presents the overview of scalable and available database that satisfies the above characteristics. And we propose a novel on-line scaling method. Our method improves the existing on-line scaling method for fast response time and higher throughputs. Our proposed method reduces unnecessary network use, i.e. , we decrease the number of data copy by reusing the backup data. Also, our on-line scaling operation can be processed parallel by selecting adequate nodes as new node. Our performance study shows that our method results in significant reduction in data copy time.     

An improved R-tree based on childnode''s probability

R-Tree is a good structure for spatial searching. But in this indexing structure,either the sequence of nodes in the same level or sequence of traveling these nodes when queries are made is random. Since the possibility that the object appears in different MBR which have the same parents node is different, if we make the subnode who has the most possibility be traveled first, the time cost will be decreased in most of the cases. In some case, the possibility of a point belong to a rectangle will shows direct proportion with the size of the rectangle. But this conclusion is based on an assumption that the objects are symmetrically distributing in the area and this assumption is not always coming into existence. Now we found a more direct parameter to scale the possibility and made a little change on the structure of R-tree, to increase the possibility of founding the satisfying answer in the front sub trees. We names this structure probability based arranged R-tree (PBAR-tree).     

Integrating GIS Web services based on mediating architecture

The geographic information service is enabled by the advancements in general Web service technology and the focused efforts of the OGC in defining XML-based Web GIS service. Based on these models, this paper addresses the issue of services chaining,the process of combining or pipelining results from several interoperable GIS Web Services to create a customized solution. This paper presents a mediated chaining architecture in which a specific service takes responsibility for performing the process that describes a service chain. We designed the Spatial Information Process Language (SIPL) for dynamic modeling and describing the service chain, also a prototype of the Spatial Information Process Execution Engine (SIPEE) is implemented for executing processes written in SIPL. Discussion of measures to improve the functionality and performance of such system will be included.     

Tracking data management using topology of moving object database system for moving object constrained trajectory in LBS application

Advances in wireless technologies and positioning technologies and spread of wireless devices, an interest in LBS (Location Based Service) is arising. To provide location based service, tracking data should have been stored in moving object database management system (called MODBMS) with proper policies and managed efficiently. So the methods which acquire the location information at regular time intervals then, store and manage have been studied. In this paper, we suggest tracking data management techniques using topology that is corresponding to the moving path of moving object. In our techniques, we update the MODBMS when moving object arrived at a street intersection or a curved road which is represented as the node in topology and predict the location at past and future with attribute of topology and linear function. In this technique, location data that are corresponding to the node in topology are stored, thus reduce the number of update and amount of data. Also in case predicting the location,because topology are used as well as existing location information, accuracy for prediction is increased than applying linear function or spline function.