论军费预算规模的确定过程

军费预算规模的确定过程,实质上也就是军队和财政部关于军费的博弈过程。军队和财政部之间经过“讨价还价”,最终形成一致意见来确定军费开支数额。其谈判结果不仅取决于双方谈判的技巧、军队资料准备情况、军费预算程序是否完善,而且还取决于讨价还价的方式,比如双方同时出价和轮流出价等。     

不完全信息下军事威逼讨价还价博弈分析

在详细分析威慑与威逼区别的基础上,构建了不完全信息下军事威逼讨价还价博弈模型。按照最大期望效用准则,分析了不完全信息下军事威逼走向讨价还价阶段的条件,研究表明:运用鲁宾斯坦经典讨价还价唯一完美均衡解,得出以下结论:争夺目标自身的效用越大,战争带来的声誉得益效用越大,军事威逼走向讨价还价阶段的可能性越大;一旦进入讨价还价阶段,威逼者会接受挑战者提出的方案,冲突将不再发生。     

装备采办中一级密封招标的博弈均衡分析

针对装备采办中的一级密封招标问题，分析了招标过程中的博弈特点，给出了一维贝叶斯均衡的求解方法和解析表达式，论证了在军工企业的最优战略是选择博弈的贝叶斯均衡，军方的选择是增加竞标者的人数。然后，重点分析了招标过程中的多维博弈问题，给出了多维贝叶斯均衡的一般求解方法，并针对特定的事例进行了多维均衡分析。最后，在多维博弈的框架下对一维博弈和多维博弈的均衡结果进行比较分析，结果表明：在一级密封招标过程中，多维博弈均衡是军工企业的最优战略。     

军费适度规模形成的博弈分析

文章分析了军费适度规模形成过程中国家之间单阶段、有限重复和无限重复博弈，探讨了中央与军队间军费分配讨价还价过程，通过建立模型就优化三军军费分配比例进行了论证。     

武器装备采购的竞争性定价研究

分析了我国传统的装备垄断定价模式的特点,从中得出军企的需求曲线是一条折线,通过与完全竞争性定价的比较分析,得出该模式的弊端,提出引入竞争来解决这一问题.在存在多个投标方的情况下,每个投标方在出价时要考虑到对手的可能出价,针对军方需求量固定的特点,建立考虑其他对手出价的定价模型,最后,对所建模型与传统的定价模型的解进行比较分析.     

政府采购委托代理道德风险的博弈研究

政府采购中采购人与采购代理机构的关系实质上是一种委托代理关系。由于二者之间信息不对称,采购的不确定性,契约的不完全,导致这种委托代理关系产生道德风险。对道德风险进行博弈分析,纯战略下得不到均衡解。因此,引入混合战略,建立政府采购委托代理道德风险博弈模型,并得出其均衡解。最后,在分析混合战略均衡解的基础上,提出防范政府采购委托代理道德风险的对策。     

无线自组织网络跨层攻击检测博弈模型

无线自组织网络中的跨层攻击具有比单层攻击更强的隐蔽性、更好的攻击效果或更低的攻击成本.为了检测无线自组织网络中的跨层攻击,提出了一种基于博弈论的攻击检测模型.由于攻击不可避免地会对各协议层的参数造成影响,因此模型从协议层攻防博弈的角度,建立起相应的策略矩阵和支付矩阵,并通过均衡分析得到该模型的混合策略纳什均衡解.仿真结...     

基于三方动态博弈模型的网络生存防御策略优化配置

针对网络攻防环境中防御方以提高系统生存能力为目的所进行的最优生存防御策略的选取问题,提出了一种基于完全信息动态博弈理论的生存防御策略优化配置算法。将恶意攻击方、故障意外事件及防御方作为博弈的参与人,提出了一种混合战略模式下的三方动态博弈模型,对博弈的主要信息要素进行了说明,以混合战略纳什均衡理论为基础,将原纳什均衡条件式的表达式转化为可计算数值结果的表达式,并据此增加了近似的概念,最后,将提出的模型和近似纳什均衡求解算法应用到一个网络实例中,结果证明了模型和算法的可行性和有效性。     

产品供应商与产品分销商的非完全信息博弈

博弈论是研究多人决策问题的理论,这类问题在经济学研究中经常会遇到,如在微观领域,交易机制的模型(讨价还价模型等);在中观经济研究中,劳动力经济学和金融理论有关企业要素的投入模型;在宏观经济中,国家间相互竞争,选择关税和其他贸易政策的模型等。就信息的完备程度主要分为四种类型的博弈:完全信息静态博弈、完全信息动态博弈、非完全信息静态博弈、非完全信息动态博弈。     

军事财力资源配置决策主体博弈分析

军事财力资源配置决策的本质是各决策主体博弈后达到一种均衡状态。利用不完全信息动态博弈、不完全信息静态博弈和完全信息静态博弈三种模型,对军事财力资源初次配置、再配置以及使用过程中各决策主体的行为进行分析,可以得出,优化军事财力资源配置决策机制,应设计科学合理的决策规则,不断完善决策信息机制,建立有效的激励约束机制,拓宽民主参与决策的范围,调整决策机构和决策权限。     

The incentive effect of acceptance sampling plans in a supply chain with endogenous product quality

This article studies a firm that procures a product from a supplier. The quality of each product unit is measured by a continuous variable that follows a normal distribution and is correlated within a batch. The firm conducts an inspection and pays the supplier only if the product batch passes the inspection. The inspection not only serves the purpose of preventing a bad batch from reaching customers but also offers the supplier an incentive to improve product quality. The firm determines the acceptance sampling plan, and the supplier determines the quality effort level in either a simultaneous game or a Stackelberg leadership game, in which both parties share inspection cost and recall loss caused by low product quality. In the simultaneous game, we identify the Nash equilibrium form, provide sufficient conditions that guarantee the existence of a pure strategy Nash equilibrium, and find parameter settings under which the decentralized and centralized supply chains achieve the same outcome. By numerical experiments, we show that the firm's acceptance sampling plan and the supplier's quality effort level are sensitive to both the recall loss sharing ratio and the game format (i.e., the precommitment assumption of the inspection policy). © 2013 Wiley Periodicals, Inc. Naval Research Logistics, 2013     

A sequential auction‐bargaining procurement model

One of the most important decisions that a firm faces in managing its supply chain is a procurement decision: selecting suitable suppliers among many potential competing sellers and reducing the purchase cost. While both auctions and bargaining have been extensively studied in the literature, the research that combines auctions and bargaining is limited. In this article, we consider a combined auction‐bargaining model in a setting where a single buyer procures an indivisible good from one of many competing sellers. The procurement model that we analyze is a sequential model consisting of the auction phase followed by the bargaining phase. In the auction phase, the sellers submit bids, and the seller with the lowest bid is selected as the winning bidder. In the bargaining phase, the buyer audits the cost of the winning seller and then negotiates with him to determine the final price. For this auction‐bargaining model, we find a symmetric equilibrium bidding strategy for the sellers in a closed form, which is simple to understand and closely related to the classical results in the auction and bargaining literature. We also show that the auction‐bargaining model generates at least as much profit to the buyer as the standard auction or sequential bargaining model. © 2009 Wiley Periodicals, Inc. Naval Research Logistics, 2010     

Offset Contracts as an Insurance Device in Building the National Security

A dynamic multi-stage decision-theoretic approach is introduced to establish the optimal offset and its incidence, the contract price arising from bargaining, and the scale of the acquisition. A new rationale is suggested for offsets in terms of their role as an insurance devise. Results are derived for the pricing of delivery contracts subject to offset claims and their national security implications. It is shown that the national security is strictly convex in the offset transaction. As to the incidence of the offset, the offset claim is shown to be capitalised in the delivery price. The bargaining price is shown to depend on the value of the product to be delivered for the national security, the relative negotiation power of the contracting partners and the social cost of public funds. The analysis highlights the expectation effects of offsets on the bargaining price and the scale of delivery. The results aid in explaining why offsets are widely used in procurement contracts for defence materiel. As they contribute to the national security, they should be allowed to survive and not be denied under competition laws.     

Revenue sharing contracts in a supply chain with uncontractible actions

We consider a supplier–customer relationship where the customer faces a typical Newsvendor problem of determining perishable capacity to meet uncertain demand. The customer outsources a critical, demand‐enhancing service to an outside supplier, who receives a fixed share of the revenue from the customer. Given such a linear sharing contract, the customer chooses capacity and the service supplier chooses service effort level before demand is realized. We consider the two cases when these decisions are made simultaneously (simultaneous game) or sequentially (sequential game). For each game, we analyze how the equilibrium solutions vary with the parameters of the problem. We show that in the equilibrium, it is possible that either the customer's capacity increases or the service supplier's effort level decreases when the supplier receives a larger share of the revenue. We also show that given the same sharing contract, the sequential game always induces a higher capacity and more effort. For the case of additive effort effect and uniform demand distribution, we consider the customer's problem of designing the optimal contract with or without a fixed payment in the contract, and obtain sensitivity results on how the optimal contract depends on the problem parameters. For the case of fixed payment, it is optimal to allocate more revenue to the supplier to induce more service effort when the profit margin is higher, the cost of effort is lower, effort is more effective in stimulating demand, the variability of demand is smaller or the supplier makes the first move in the sequential game. For the case of no fixed payment, however, it is optimal to allocate more revenue to the supplier when the variability of demand is larger or its mean is smaller. Numerical examples are analyzed to validate the sensitivity results for the case of normal demand distribution and to provide more managerial insights. © 2008 Wiley Periodicals, Inc. Naval Research Logistics, 2008     

CHOOSING GENOCIDE: ECONOMIC PERSPECTIVES ON THE DISTURBING RATIONALITY OF RACE MURDER

An economic theory of genocide is presented with application to Rwanda‐1994. The theory considers ‘macro’ conditions under which an authority group chooses genocide and ‘micro’ conditions that facilitate the spread of genocide. From the macro perspective, a bargaining model highlights four rational explanations for an authority’s choice of genocide: prevention of loss of power, indivisibility, elimination of a persistent rival, and political bias. From the micro perspective, an evolutionary game model shows how supporters of genocide gain the upper hand in group dynamics over resisters and bystanders. The theory and application suggest that the conditions for genocide are not exceptional.     

基于博弈论的装备采购定价激励模型

不同的定价方式和定价参数的选择对于承包商会起到不同程度的激励作用。为提高装备采购效益,在承包商追求效用最大化假设的基础上,建立了装备采购完全信息动态博弈模型。对价格、成本、承包商努力程度和承包商效用之间的关系进行了研究,证明了成本分担和固定价格的定价方式能够有效激励承包商提高自身努力水平降低成本,并提出了2种定价方式的参数定量计算方法。     

Client‐contractor bargaining on net present value in project scheduling with limited resources

The client‐contractor bargaining problem addressed here is in the context of a multi‐mode resource constrained project scheduling problem with discounted cash flows, which is formulated as a progress payments model. In this model, the contractor receives payments from the client at predetermined regular time intervals. The last payment is paid at the first predetermined payment point right after project completion. The second payment model considered in this paper is the one with payments at activity completions. The project is represented on an Activity‐on‐Node (AON) project network. Activity durations are assumed to be deterministic. The project duration is bounded from above by a deadline imposed by the client, which constitutes a hard constraint. The bargaining objective is to maximize the bargaining objective function comprised of the objectives of both the client and the contractor. The bargaining objective function is expected to reflect the two‐party nature of the problem environment and seeks a compromise between the client and the contractor. The bargaining power concept is introduced into the problem by the bargaining power weights used in the bargaining objective function. Simulated annealing algorithm and genetic algorithm approaches are proposed as solution procedures. The proposed solution methods are tested with respect to solution quality and solution times. Sensitivity analyses are conducted among different parameters used in the model, namely the profit margin, the discount rate, and the bargaining power weights. © 2009 Wiley Periodicals, Inc. Naval Research Logistics, 2009