Are 18 Holes Enough for Tiger Woods?

This article addresses the selection problem in promotion tournaments. I consider a situation with heterogeneous employees and ask whether an employer might be interested in repeating a promotion tournament. On the one hand, this yields a reduction in uncertainty over the employees’ abilities. On the other hand, there are costs if a workplace stays vacant.     

Fiscal policy,wealth divergence,and lifetime utility

Using a two-country dynamic optimization model where the less patient country decumulates and the more patient one accumulates wealth, we analyze spillover effects of lump-sum and consumption taxes. A lump-sum tax on a country definitely harms the other country through a change in the rate of interest. A lump-sum tax on either country always improves the less patient country's asset position. A consumption tax has no spillover effect, although it is Pareto-inferior. Applying these results into a closed-country context with heterogeneous agents, we also discuss policy implications of a discriminatory tax.     

基于中国经验重构新新贸易理论的分析框架

异质性企业贸易模型是新新贸易理论的基本分析框架,该模型从企业生产率异质性角度分析企业出口的决定因素,得到企业拥有高生产率是保证其出口的重要条件,从而出口企业的生产率要高于内销企业的结论。不过,对中国企业的经验研究却发现,出口企业的生产率未必高于内销企业,甚至低于内销企业,即中国出口企业存在"生产率悖论"。目前,对于"生产率悖论"的研究主要集中于经验分析,并没有提出一个合理解释该现象的理论模型。文章从扩展异质性企业贸易模型的角度,建立了一个旨在解释"生产率悖论"的数理模型。尽管该模型对"生产率悖论"具有解释作用,但是并没有否定生产率对企业出口的作用。文章进一步使用较新的LP方法计算了中国制造业企业的生产率并运用统计法检验了出口企业"生产率悖论"的存在性,检验结果表明中国制造业大部分行业不存在"生产率悖论"。总之,文章研究认为生产率只是企业出口的一个必要条件而不是充分条件,这也重新构建了新新贸易理论的分析框架。     

“前惯例”与企业惯例的形成机制研究

文章认为企业组织惯例形成之前都受到＂前惯例＂的影响,企业惯例的形成是一个在＂前惯例＂基础上自我扬弃的过程,这种惯例的综合与创造性运用能力是形成企业之间竞争力差异的根本原因。     

空中异构战术网络IP通信架构及协议开销分析

空中异构战术无线网络由多种不同类型的无线数据链网络构成,IP通信技术可有效解决空中平台异构无线网络的互联互通问题。给出了空中异构战术无线网络模型,并根据不同类型的无线数据链网络特点,分析了端到端通信协议栈关系以及不同无线数据链网络间协议转换与适配方式。探讨了网络静态和动态IP地址分配方法以及网络的路由架构与寻址方式,提出了不同无线数据链网络间IP报文传输的打包方式。对传输的开销性能仿真对比分析表明,基于通用成帧协议的打包方式的协议开销性能较优。     

一种基于地理信息系统的异构网络多目标算法

地理信息系统（Geographic Information System,GIS）和多目标算法为异构网络基站部署问题带来新的突破。ArcGIS系列是GIS专业化的管理软件,采用ArcGIS软件对包含学校、医院等场景的中国某市密集城区进行建模分析,并且提出基于目标权重因子的多目标离散粒子群算法（Multi-objective Discrete Particle Swarm Optimization algorithm based on Target Weight Factor,MDPSO/TWF）,基于多个目标函数整体最优研究异构网络基站部署问题。仿真结果表明,所提的MDPSO/TWF算法具有可行性和先进性,可以综合考虑网络负载和网络能效多个优化目标,将业务需求与实际基站选址相结合,在满足业务需求的基础上尽可能达到节能的目的。     

The Impact of Unionization Structures with Heterogeneous Firms and Rent‐Sharing Motives

How are unemployment and output affected if wages are set on the sector level rather than firm level? We take a new look at this question, allowing for heterogeneous firms and rent‐sharing motives. Without these motives, employment and output are lower under sector‐level wage‐setting due to higher wage markups. With rent‐sharing motives, however, firm selection is higher under sector‐level wage‐setting, which tends to increase employment and output, thus counteracting the markup effect. Simulations show that the firm‐selection effect decreases the difference between the two unionization structures substantially but it does not change the signs of the effects on output and employment.     

结构性减税与扩张政府支出的宏观经济效应

为了深入研究不同类型财政政策对宏观经济的影响效应，本文构建纳入异质性家庭和细化财税工具的新凯恩斯DSGE模型，并着重模拟分析了不同类型财政政策冲击对居民消费、私人投资、通胀率以及总产出水平的动态影响效应。研究结果表明，不同类型财税工具对宏观经济的冲击效果存在显著差异，对于税收政策，劳动收入税减税能够有助于提升消费水平和消费需求，并调节和完善消费结构；而对于政府支出政策，转移支付规模的扩张通过刺激家庭消费，引导消费内需有效提升，从而带动经济增长方式由投资驱动型向消费驱动型转变，进而推动经济高质量发展。     

Has local informational advantage disappeared?

This study examines how changes in the information environment affect the informational advantage of geographically proximate agents. The long‐term advantage of local agents disappeared at the turn of the millennium. This is accompanied by the reduction in local bias of institutional investors and equity analysts. However, institutional investors continue to trade local stocks disproportionately more often than non‐local stocks; moreover, their local trades outperform non‐local trades in the short term—even for large and liquid stocks. Our results are consistent with improvements in the information environment shortening the horizon of proximity‐based informational advantage.     

信号级协同计算平台架构及应用思考

针对智能化作战对军事电子信息系统计算能力提升的迫切需求，结合云计算的资源虚拟化、大数据的分布式计算等技术，提出了基于嵌入式CPU+ALL（DSP、FPGA、PPC、GPU、AI处理器等）的异构处理的信号级协同计算平台架构，包括弹性、轻量级异构资源虚拟化模型、分布式实时计算框架和智能计算框架等，形成了一套架构统一、资源共用、使用简便的协同计算和智能计算环境。通过战术级无线电认知和智能信号与信息处理两个典型应用场景，探讨了该信号级协同计算平台可能带来的颠覆性效用。