我国住宅市场财富效应研究

通过对我国总体数据的实证分析发现,预期收入增长对总消费具有显著正的影响;预期住宅价格对总消费也有显著正的影响,即我国住宅市场财富效应是显著存在的。这与最近关于OECD国家住宅市场研究中的结论是相吻合的。     

基于股利变更公告的股利信号效应研究

本文根据上市公司发布的股利变更公告,提供了一个比之前文献利用年报研究股利市场反应更为干净的方法,研究上市公司股利发放的市场反应。本文进一步研究了各种股利发放变动与公司现金流、盈余之间的关系,从而对上市公司股利政策的信号传递效应进行检验。结果发现,我国上市公司的现金股利发放并没有信号传递效应;股票股利发放只是传递了关于公司当期净利润的信息,并没有传递关于公司未来盈余的信息。具体来说,市场对现金股利变更的反应不及对股票股利变更的反应敏感;同时发现,现金股利的变更与公司现金流、盈余之间并没有显著关系,而股票股利的变更则参考了当期净利润的表现。     

初始资源、社会资本与创业行动效率——基于资源匹配视角的研究

创业者所拥有的初始资源基础及其可利用的社会资本对于新企业绩效的重要作用已被广泛证实,但对于二者在创业行动层面的角色尚缺乏深入探索.基于此,本文从关系强度与关系资源的角度考量社会资本,考察了初始资源、关系强度和关系资源与创业行动效率间的关系,以及资源获取匹配度对该作用过程的调节作用.结果显示,在创业过程中,拥有充裕的初始资源,能够利用丰富的社会资本的创业者更易于快速采取创业行动,促进新企业生成.当创业者利用关系资源获取与初始资源相匹配的资源时,关系资源促进创业行动效率的作用更为显著.本文的理论贡献在于深入行动效率挖掘初始资源与社会资本改善创业行动效率的作用机制,从资源匹配的视角剖析社会资本的作用机理,研究发现,社会资本作用的发挥源于其为创业者所提供资源的匹配效果,而非其自身的存量特征,这是解释创业行动效率差异的一个重要原因.     

前摄性行为视角下的员工创新——前摄型人格、反馈寻求与员工创新绩效

随着外部环境日渐复杂,新一代员工自我意识觉醒,信息化工作模式扩展,企业传统管理机制对员工绩效的影响越发有限。利用员工自我管理机制以及前摄性行为提升其自身创新绩效的管理路径有望成为持续增强企业创新实力的新方法。研究以国有科技型组织中的知识员工为样本,以主动反馈寻求行为为中介,探索前摄型人格对员工创新绩效的影响机制。研究结果表明,员工前摄型人格对其创新绩效具有正向影响;反馈寻求行为(询问与监测)完全中介前摄型人格对创新绩效的影响;主管对创新的支持正向调节直接反馈寻求行为——询问与创新绩效的关系,具有创新性同事的存在正向调节间接反馈寻求行为——监测与创新绩效的关系。     

地区差异会影响金融与实体之间的相互转化程度吗?——基于我国制造业上市公司的微观视角

实体经营与金融投资的有机结合被认为是实现我国制造业由大到强崛起的一个重要途径.本文从我国地域特征着手,探讨了制造业企业金融资产和经营收益之间的资源配置选择与效率呈现出的地域性的差异.结果 表明,东部地区上市企业经营收益越高,则会有更多资产投资于金融资产.但是,金融资产对经营收益的"挤占效应"却是西部地区更严重.而地区的金融市场发达程度、地方政府干预程度这两个地区软环境指标能够解释上述差异产生的原因.随着金融市场发达程度的增高和地方政府干预程度的下降,金融对经营收益"挤占效应"的负向边际效果逐渐下降,说明政府与市场环境的改善能够显著提升金融与实体之间的资源配置效率.因此,提高落后地区的软环境水平有利于引导制造业企业"脱虚向实".     

Genetic distance,international experience and the performance of cross-border R&D for EMNEs

Cross-border R&D can contribute to the enhancement of independent innovation capabilities of emerging markets multinational enterprises (EMNEs) by benefiting from knowledge management. However, scant research exists examining the location impact of cross-border R&D for EMNEs on performance implications. This paper fills this important theoretical gap by building upon the literature of genetic distance in connection with knowledge management. We use a panel data of Chinese high-tech listed companies to empirically examine the impact of genetic distance on the performance of cross-border R&D and the role played by international experience. Our results reveal a positive relationship between genetic distance and the performance of cross-border R&D. Importantly, we highlight the motivation for cross-border R&D of EMNEs to acquire technical knowledge magnifies the positive effects of genetic distance and performance. Furthermore, our analysis indicates that international experience significantly enhanced the positive effect of genetic distance on cross-border R&D performance. We conclude this paper by discussing theoretical contributions to genetic distance, international management and knowledge management, as well as practical implications for cross-border R&D of EMNEs.     

Cross‐Milieu Terrorist Collaboration: Using Game Theory to Assess the Risk of a Novel Threat

This article uses a game‐theoretic approach to analyze the risk of cross‐milieu terrorist collaboration—the possibility that, despite marked ideological differences, extremist groups from very different milieus might align to a degree where operational collaboration against Western societies becomes possible. Based upon theoretical insights drawn from a variety of literatures, a bargaining model is constructed that reflects the various benefits and costs for terrorists’ collaboration across ideological milieus. Analyzed in both sequential and simultaneous decision‐making contexts and through numerical simulations, the model confirms several theoretical arguments. The most important of these is that although likely to be quite rare, successful collaboration across terrorist milieus is indeed feasible in certain circumstances. The model also highlights several structural elements that might play a larger role than previously recognized in the collaboration decision, including that the prospect of nonmaterial gains (amplification of terror and reputational boost) plays at least as important a role in the decision to collaborate as potential increased capabilities does. Numerical simulation further suggests that prospects for successful collaboration over most scenarios (including operational) increase when a large, effective Islamist terrorist organization initiates collaboration with a smaller right‐wing group, as compared with the other scenarios considered. Although the small number of historical cases precludes robust statistical validation, the simulation results are supported by existing empirical evidence of collaboration between Islamists and right‐ or left‐wing extremists. The game‐theoretic approach, therefore, provides guidance regarding the circumstances under which such an unholy alliance of violent actors is likely to succeed.     

Dynamic Forecasting Conditional Probability of Bombing Attacks Based on Time‐Series and Intervention Analysis

In recent years, various types of terrorist attacks occurred, causing worldwide catastrophes. According to the Global Terrorism Database (GTD), among all attack tactics, bombing attacks happened most frequently, followed by armed assaults. In this article, a model for analyzing and forecasting the conditional probability of bombing attacks (CPBAs) based on time‐series methods is developed. In addition, intervention analysis is used to analyze the sudden increase in the time‐series process. The results show that the CPBA increased dramatically at the end of 2011. During that time, the CPBA increased by 16.0% in a two‐month period to reach the peak value, but still stays 9.0% greater than the predicted level after the temporary effect gradually decays. By contrast, no significant fluctuation can be found in the conditional probability process of armed assault. It can be inferred that some social unrest, such as America's troop withdrawal from Afghanistan and Iraq, could have led to the increase of the CPBA in Afghanistan, Iraq, and Pakistan. The integrated time‐series and intervention model is used to forecast the monthly CPBA in 2014 and through 2064. The average relative error compared with the real data in 2014 is 3.5%. The model is also applied to the total number of attacks recorded by the GTD between 2004 and 2014.     

Online MapReduce processing on two identical parallel machines

In this work we investigate the online over-list MapReduce processing problem on two identical parallel machines, aiming at minimizing the makespan. Jobs are revealed one by one, and each job consists of one map task and one reduce task. The map task can be arbitrarily split and processed on both machines simultaneously, while the reduce task has to be processed on a single machine and it cannot be started unless the map task has been completed. We first show that the general case of the problem reduces to the classical two machine online scheduling model with an optimal competitive ratio of 3/2. For a special case where the map task is at least as long as the reduce task, we prove that no online algorithm can be less than 4/3-competitive. An optimal Greedy algorithm with a matching competitive ratio is proposed as well.     

Deterministic construction of compressed sensing matrices based on semilattices

A central problem in compressed sensing is the construction of sensing matrices. In this paper, we show how to construct sensing matrices by using semilattices, and give many examples of sensing matrices constructed from specific semilattices. Moreover, we show that the new construction for some examples with small parameters gives better sensing matrices compared with previously known constructions.