非国有大股东对国企超额雇员的影响:成本效应还是激励效应

基于竞争理论的国企改革思路强调减少政策性负担摊派,基于产权理论的改革思路侧重于引入非国有资本,以解决产权不清晰与所有者缺位问题.本文尝试融合两种理论,以国企超额雇员问题为研究对象,从非国有大股东视角探究混合所有制改革成效.研究发现:非国有大股东能够显著降低国企超额雇员,减弱超额雇员对公司价值的损害作用,且该治理作用会随非国有大股东相对力量的提高而增强;从作用机制来看,该治理作用不仅表现为劳动力成本尤其是员工薪酬的节约,还表现为内部薪酬差距和管理层薪酬业绩敏感性的提高,兼具成本效应与激励效应;该作用在地区就业压力较小、劳动密集度较低以及劳动保护水平更低的环境下更为显著.     

江苏省农业绿色发展水平区域差异及趋势分析

［目的］农业绿色发展是保证我国农业可持续发展的有效方式，探究江苏省农业绿色发展水平和地区差异，为我国其他地区农业绿色发展研究提供参考。［方法］文章采用熵权法和层次分析法确定农业绿色发展水平评价指标权重，运用锡尔指数对区域内和区域间农业绿色发展水平差异进行测度。［结果］2012—2017年江苏省农业绿色发展水平有明显提高，绿色供给的得分最高，环境友好和生态制度的得分最低。各市农业绿色发展水平综合指数分析结果表明，苏州农业绿色发展水平最高，南京、无锡次之，连云港、淮安和宿迁农业绿色发展水平较低。锡尔指数分析结果表明江苏省区域内农业绿色发展水平差异都在逐渐缩小。［结论］农产品绿色供给是江苏省农业绿色发展的最大优势，资源节约利用和环境友好发展方面较低，由于经济发展对资源利用强度在持续增加，资源节约利用仍是绿色发展的短板，因此江苏省资源效益利用仍有上升的空间，且区域内发达地区农业绿色发展的带动效应明显。     

Exchange Rate Pass-Through to Consumer Prices: The Increasing Role of Energy Prices

Open Economies Review - A number of researchers have found that the rate of exchange rate pass-through (ERPT) to domestic prices has declined substantially over the last few decades. We revisit...     

基于FDS的体育馆火灾数值模拟分析

对体育馆的防火分区和疏散距离问题进行分析,针对存在的问题提出了相应的消防措施.建立建筑信息模型(BIM)对不同火源位置、火灾热释放速率、自动灭火系统和排烟系统的有效性进行定量分析,设置一系列火灾场景,利用FDS软件对各火灾场景下的烟气蔓延、最小清晰高度处的温度、CO浓度、能见度进行数值模拟,分析消防安全措施的有效性.模拟结果表明,在采取相应的消防措施后,该体育馆在火灾条件下能够满足整体消防安全疏散的要求.     

地铁车站土建施工安全风险问题及应对措施

我国地铁的发展历史并不长.国外发达国家有着较为广泛的应用和历史,起步早、发展时间久、技术经验相对丰富.作为当前国内重要的交通出行方式,地铁不仅关系到一个城市的规划建设,也与人民的出行便利程度有着莫大的关系.因此,做好地铁车站土建施工及安全工作非常重要.我国的地铁发展起步较迟,但是在国家大力支持下,我国通过招标等手段很快从日本等国家引入了地铁建设新技术,实现了关键技术不再受制于人,极大地推动了我国地铁行业的发展.地铁车站施工受到当前技术原因限制和内外部多重因素的影响,尤其是其本身土建施工情况直接影响着工程的整体质量,所以要抓好土建施工质量水平,针对施工安全问题给予针对性的应对措施,从而保证工程整体质量.     

基于卷积神经网络的列车检测算法研究

列车检测作为列车自动驾驶的核心技术,可以有效地降低列车追尾等事故造成的人身危险和财产损失。为实现精准的列车检测,选用改进的卷积神经网络(PVANET)对输入图像进行特征提取,在此基础上,采用候选区域网络,从生成的特征图里滑动搜索,判断出图像中可能为列车的区域位置,并进一步采用快速区域卷积神经网络对每个候选区域进行分类,计算出其所属类别的置信度,同时精确定位列车。经验证,该方法适应范围广、鲁棒性高,可以有效地检测不同环境光强及不同朝向的列车,保障列车安全,为列车自动驾驶及辅助驾驶提供安全保障。     

自我监控人格对创新绩效的影响:基于社会信息处理理论

中国文化背景下,人们更容易表现出高自我监控特征,但目前对自我监控人格与创新绩效的研究还相对不足.基于社会信息处理理论,采用25家企业441个员工的调研数据,探究自我监控人格对创新绩效的影响机制.研究结果表明,自我监控人格对创新绩效存在显著驱动作用;组织创新氛围感知、员工个体创造力以"串联"结构在自我监控人格与创新绩效的关系间发挥链式中介作用.上述发现扩展了自我监控人格与创新绩效间作用路径,为企业管理人员正视员工自我监控人格以促进员工创新绩效提供了一定启示.     

MODELING SOVEREIGN RISKS: FROM A HYBRID MODEL TO THE GENERALIZED DENSITY APPROACH

Motivated by the European sovereign debt crisis, we propose a hybrid sovereign default model that combines an accessible part taking into account the evolution of the sovereign solvency and the impact of critical political events, and a totally inaccessible part for the idiosyncratic credit risk. We obtain closed‐form formulas for the probability that the default occurs at critical political dates in a Markovian setting. Moreover, we introduce a generalized density framework for the hybrid default time and deduce the compensator process of default. Finally, we apply the hybrid model and the generalized density to the valuation of sovereign bonds and explain the significant jumps in long‐term government bond yields during the sovereign crisis.     

Understanding precedents for frontline employee turnover in luxury hotels: Emotional intelligence as a unifying factor

Current turnover research fails to serve the needs of an industry that is long plagued by employee turnover. Existing literature focuses more on evaluating bundles of human resource practices and fail to provide precise and clear guidance for practitioners. This study proposes that emotional intelligence (EI) unifies sufficient individual factors and organizational factors that affect employee turnover and serves as a single significant precedent for turnover. Data were collected from frontline employees at eight luxury hotels. The direct, indirect, and total impacts of employee EI on employee turnover were tested by structural equation modeling and bootstrap tests. The results suggest that EI has significant indirect impacts through the mediation of perceived organizational support, pay satisfaction and job burnout, and significant total impacts on turnover. Implication suggestions include integrating EI into the recruiting process for new employees and providing training opportunities for current employees to improve their EI.     

Effects of scale economies and production seasonality on optimal hub locations: the case of regional fresh produce aggregation

Interest in supporting local and regional food systems is rising and food hubs have attracted considerable attention among Federal, State, and local policymakers. This study explores the problem of endogenous hub location in fresh produce value chains in the Northeastern United States. To overcome limitations in the literature, we incorporate the effects of economies of scale and production seasonality into our models. Three experimental models are designed to examine the effects of alternatively applying yearly, quarterly, and monthly data on model solutions. We explicitly assess how interactions of scale economies and seasonality influence the structure and spatial attributes of an optimal regional produce aggregation hub system. The three models generate marketed different solutions and in many respects they lead to different conclusions about developing local/regional supply chains. The monthly model allows for production seasonality and actual hub operation cycle frequency and thus leads to more efficient hub solution with rich policy implications.