Information Sharing in a Manufacturer–Supplier Relationship: Suppliers' Incentive and Production Efficiency

While there have been vast discussions on the materialistic benefits of continuous improvement from the Toyota and Honda experiences, the academic literature pays little attention to information sharing. In this study, we construct a dynamic adverse selection model in which the supplier privately observes her production efficiency, and in the contractual duration the manufacturer obtains an informative but imprecise signal regarding this private efficiency. We show that despite the disclosure of proprietary information, information sharing may benefit the supplier; the supplier's voluntary participation is more likely to occur when the shared information is rather imprecise. On the other hand, our analysis also reveals that this information sharing unambiguously gives rise to an upward push of the production quantity, and may sometimes lead to an upward distortion that ultimately hurts the supply chain. We also document the non‐trivial impact of the timing of information sharing on the supplier's incentive to participate.     

Inventory‐Based Dynamic Pricing with Costly Price Adjustment

We study an average‐cost stochastic inventory control problem in which the firm can replenish inventory and adjust the price at anytime. We establish the optimality to change the price from low to high in each replenishment cycle as inventory is depleted. With costly price adjustment, scale economies of inventory replenishment are reflected in the cycle time instead of lot size—An increased fixed ordering cost leads to an extended replenishment cycle but does not necessarily increase the order quantity. A reduced marginal cost of ordering calls for an increased order quantity, as well as speeding up product selling within a cycle. We derive useful properties of the profit function that allows for reducing computational complexity of the problem. For systems requiring short replenishment cycles, the optimal solution can be easily computed by applying these properties. For systems requiring long replenishment cycles, we further consider a relaxed problem that is computational tractable. Under this relaxation, the sum of fixed ordering cost and price adjustment cost is equal to (greater than, less than) the total inventory holding cost within a replenishment cycle when the inventory holding cost is linear (convex, concave) in the stock level. Moreover, under the optimal solution, the time‐average profit is the same across all price segments when the inventory holding cost is accounted properly. Through a numerical study, we demonstrate that inventory‐based dynamic pricing can lead to significant profit improvement compared with static pricing and limited price adjustment can yield a benefit that is close to unlimited price adjustment. To be able to enjoy the benefit of dynamic pricing, however, it is important to appropriately choose inventory levels at which the price is revised.     

Risk aggregation with dependence and overdispersion based on the compound Poisson INAR(1) process

Abstract

This paper considers an extension of the classical discrete time risk model for which the claim numbers are assumed to be temporal dependence and overdispersion. The risk model proposed is based on the first-order integer-valued autoregressive (INAR(1)) process with discrete compound Poisson distributed innovations. The explicit expression for the moment generating function of the discounted aggregate claim amount is derived. Some numerical examples are provided to illustrate the impacts of dependence and overdispersion on related quantities such as the stop-loss premium, the value at risk and the tail value at risk.     

Independence test in high-dimension using distance correlation and power enhancement technique

Abstract

This paper is concerned with independence test in high-dimension. A new test statistic is proposed with two terms: one is based on the modified distance correlation statistic, the other is constructed to enhance the power under sparse alternatives. Asymptotic properties of the test statistic are discussed under some regular conditions. The finite-sample simulations exhibit its superiority over some existing procedures. Finally, a real data example illustrates the proposed test.     

财政分权和环境规制促进了中国绿色技术创新吗？

基于我国2003-2017年省级面板数据测算财政分权水平和财政分权效率,结合两阶段关联网络DEA测算绿色创新效率、绿色技术研发效率、绿色技术成果转化效率。结合理论模型与实证模型,分析了财政分权、环境规制对我国绿色技术创新的影响。结果表明：从整体上看,财政分权水平、财政分权效率和环境规制都是推动我国绿色创新发展的积极因素,财政分权还通过影响环境规制对绿色技术创新产生积极间接影响;但也导致了地方政府不注重绿色研发的短视行为。从不同时段看,财政分权和环境规制对绿色创新影响发生了变化,一是国际金融危机以后,财政分权加大了经济刺激政策对绿色创新发展的挤出效应,但这在新时代以后得到缓解;二是2013年以后地方环境规制水平提升过快,在一定程度上反而不利于绿色创新。从发展处于不同分位的地区看,财政分权对高、低分位地区绿色创新发展支持都稍显不足,但提高财政分权效率则能显著带动高分位地区发展;环境规制只在高分位地区促进了绿色创新发展,但对绿色创新效率较低的地区而言,过高的环境规制并没有实际意义。     

一种混合建模方法及其在ETF期权定价中的应用

科学合理的交易型开放式指数基金（ETF）期权定价有利于充分发挥其风险对冲功能,也是一个需要准确掌握市场规律并兼顾经济学意义的复杂建模过程。本文提出了一种新的混合建模方法,将嵌套长短时记忆神经网络模型（NLSTM）与Heston模型结合,实现ETF期权定价偏差的动态修正,并基于华夏上证50ETF、嘉实沪深300ETF和华泰柏瑞沪深300ETF的高频期权数据,实验验证了所提方法的有效性。研究结果表明,不同类型ETF期权价格的波动特征差异显著,无论是基于BS定价模型还是Heston定价模型都难以准确刻画ETF期权价格的复杂变化规律。通过将NLSTM神经网络模型与Heston模型结合,能够有效地捕捉不同类型ETF期权的动态变化规律,从而提升ETF期权定价的准确性。     

食管癌患者健康相关生命质量研究

目的:探讨食管癌患者的健康相关生命质量现状及影响因素?方法:采用一般资料问卷?欧洲五维度健康评定量表(EQ-5D量表),对209例食管癌患者进行问卷调查,采用单因素分析和多因素分析探讨食管癌患者健康相关生命质量的影响因素? 结果:食管癌患者行动?自我照顾?日常活动?疼痛/不适?焦虑/抑郁五个维度存在问题的比例分别为18.2%?12.0%?22.0%?38.3%?25.4%;自评健康得分(VAS评分)为(75.20 ± 11.00)分;综合健康指数得分(Index得分)为(0.84 ± 0.22)分?患者的性别?家庭年收入?文化程度是VAS评分的主要影响因素;患者的年龄?治疗方式?肿瘤分期?医保类型是Index得分的主要影响因素?结论:实施心理干预?早诊早治?大病医疗保险有助于提高食管癌患者健康相关生命质量?     

福利国家为什么需要慈善部门？

自福利国家陷入危机以来,慈善部门在福利国家中的功能问题一直没有得到全面和系统的讨论。福利多元主义者将慈善部门视为政府的合作伙伴,希望通过政府委托慈善部门提供公共服务的方式来缓解福利国家的危机;新自由主义者则认为这一定位会使慈善部门对政府的资金产生依赖,使慈善部门失去独立性,因而主张以市场化的方式来解决国家的福利供给问题,让慈善部门在公共服务以外的领域发挥作用。辨析福利多元主义与新自由主义的争论,结合全球化时代慈善部门出现的新特征,可以看到,慈善部门在福利国家中具有绩效提升、结构补充、价值倡导、民主促进、就业吸收和国际支援等六大功能。     

他者的侵凌与自我的毁灭——张爱玲小说的拉康式解读

张爱玲小说中始终存在着“自我”与“他者”的二元对立结构,因受到他人的制约,其笔下的人物难以完成自我建构,个体甚至因他者的入侵而走向异化或毁灭,这与拉康哲学中关于自我与他者关系的论述相契合.借助拉康镜像论、凝视论、他者论来解读张爱玲小说中自我与他者的关系,可深入发掘其笔下人物的自我建构过程,细致辨析张爱玲运用的“窥视”笔法,通过《传奇》增订版等具体个案分析他者欺凌与自我毁灭的二元构成.从拉康式精神分析的视角观照张爱玲创作,有利于多角度地深入思考张爱玲小说的精神内涵.     

人民币加入ＳＤＲ 预期对其国际化的影响

一国货币的国际化程度主要体现在其国际影响力及对国际主要国家货币汇率波动的反应程度。人民币纳入ＳＤＲ 货币篮子将会改变人民币在国际货币金融体系中的地位与作用,从而影响人民币国际化程度。基于２０１５ 年８ 月１１ 日至２０１６ 年３ 月１６ 日的样本区间数据,通过构建ＶＡＲ模型实证检验人民币加入ＳＤＲ 预期因素对人民币国际化程度的影响。结果发现：第一,人民币加入ＳＤＲ 预期能够提升人民币在国际货币金融体系中的影响力,尤其是人民币对美元的影响力将大大增加,但是其对世界其他主要货币的影响力仍显不足;第二,样本区间内,人民币自由化程度并没有提升,因为人民币汇率并没有随着世界主要货币汇率的波动而有所变化。