How is Benevolent Leadership Linked to Employee Creativity? The Mediating Role of Leader–Member Exchange and the Moderating Role of Power Distance Orientation

Previous research has shown that virtuous leader behavior in the form of benevolent leadership has considerable impact on employee creativity. However, little is known as to how and under what conditions these constructs are linked. In the current research, we proposed and tested a moderated mediation model positing leader–member exchange (LMX) as a mediator, and employee power-distance orientation as a moderator of this relationship. Two studies were conducted to test our hypothesized model. In Study 1, repeated measured data collected from 284 Chinese employees in an information technology company demonstrated that benevolent leadership had a lagged effect on LMX. In Study 2, analyses of multisource and lagged data from 391 Chinese employees in 42 research and development teams, and their direct supervisors indicated that benevolent leadership was positively related to supervisor-rated employee creativity via LMX. In addition, the relationship between benevolent leadership and LMX was stronger for employees high in power-distance orientation. Theoretical implications of benevolent leadership’s research and practical contributions concerning promoting creativity in organizations where benevolent leaders prevail are also discussed.     

Volatility forecasting: long memory,regime switching and heteroscedasticity

In this article, we account for the first time for long memory, regime switching and the conditional time-varying volatility of volatility (heteroscedasticity) to model and forecast market volatility using the heterogeneous autoregressive model of realized volatility (HAR-RV) and its extensions. We present several interesting and notable findings. First, existing models exhibit significant nonlinearity and clustering, which provide empirical evidence on the benefit of introducing regime switching and heteroscedasticity. Second, out-of-sample results indicate that combining regime switching and heteroscedasticity can substantially improve predictive power from a statistical viewpoint. More specifically, our proposed models generally exhibit higher forecasting accuracy. Third, these results are widely consistent across a variety of robustness tests such as different forecasting windows, forecasting models, realized measures, and stock markets. Consequently, this study sheds new light on forecasting future volatility.     

Flood Risk and Salience: New Evidence from the Sunshine State

A growing literature finds evidence that flood risk salience varies over time, spiking directly following a flood and then falling off individuals' cognitive radar in the following years. In this article, we provide new evidence of salience exploiting a hurricane cluster impacting Florida that was preceded and followed by periods of unusual calm. Utilizing residential property sales across the state from 2002 through 2012, our main estimate finds a salience impact of ?8%, on average. The salience effect persists when we base estimation only on spatial variation in prices to limit confounding from other simultaneous changes due to shifting hedonic equilibria over time. These effects range from housing prices decreases of 5.4–12.3% depending on the year of sale. Understanding flood risk salience has important implications for flood insurance and disaster policy, the benefits transfer literature, and, more broadly, our understanding of natural disaster resilience. JEL Classification: Q51, Q54, R21     

Further Mining the Predictability of Moving Averages: Evidence from the US Stock Market

Most studies on the predictability of moving average (MA) technical analysis use the discrete (buy/sell) trading recommendations. However, it is possibly incomplete or unreliable to explore the predictability of MA by only employing its generated trading signals. To further explore the forecastability of MA, we study its measurable impact on the stock market returns by using a conventional predictive regression framework. Our empirical study on the US stock market with respect to more detailed price information finds, (i) that the proposed predictor, MADP (MA based on daily prices) shows significant predictability in‐ and out‐of‐sample, and significantly outperforms the historical average (HA) benchmark as well as the MA based on monthly prices, (ii) that the predictability of MADP centers on the short‐term lags (within the most recent 10 days) and disappears when lags are beyond 20 days, and (iii) that the economic evaluation of the portfolios based on trading strategies confirms the superior performance of MADP with short‐term lags against the benchmark even though considering transaction costs.     

荣成渔家游

有着"中国第一渔业大县"称号的荣成市,现在又打响了旅游牌.这里有天尽头、圣水观、九顶铁槎山等自然景观,也有民俗村、牧云庵画村、南车花村等人文景观.荣成市对此采取了"谁投资、谁开发、谁受益"的多元文化旅游经营模式,全面动员农户、山村、渔企卖起了"风景画"、念起了"山海经",激活了文化旅游市场,带起了10万农民从事文化旅游业.2003年,荣成市年接待游客260万人次,年实现旅游收入8亿元.     

生命周期评价方法及其应用

介绍了生命周期评价的目的、意义和基本方法，并运用该方法对燃煤发电、废纸造纸、废旧塑料气化发电等几种不同工业过程的环境影响进行了分析。     

谈谈情，跳跳舞

上半身保持不动．据说这样体现了西班牙人的高贵．腰胯部的扭动则来源于热情奔放的非洲。而腿脚的动作印证着印第安人的文化。     

永乐家电能否“永乐”京城

上海家电连锁大鄂永乐家电在经过两年筹划之后于6月18日正式登陆北京．开设了在北京的第一家店。永乐家电董事长陈晓说：“如果不拿下北京与广东的市场，永乐就谈不上是全国性的连锁。“陈晓的这番话让我们看出永乐进入北京的决心，但永乐究竟是“永乐”京城还是永乐自身，是包括像国美、苏宁这样大的家电连锁企业所共同关心的问题。     

创建和谐园区推动发展再上新水平

党的十六大以来,以胡锦涛同志为总书记的党中央提出构建社会主义和谐社会的重大战略思想和战略任务,明确了构建社会主义和谐社会在中国特色社会主义事业总体布局中的地位.天津市委市政府对构建社会主义和谐社会也作出了一系列决策部署.天津新技术产业园区作为天津发展高新技术产业的基地和滨海新区的领航区,更应该在构建和谐社会、创建和谐园区上下功夫、见成效,为创建和谐天津作出应有的贡献.