Predictors of registered nurses' willingness to remain in nursing

A major question about the adequacy of the future supply of nurses is how many will stay in the profession. The relationship between scheduling and propensity to stay or leave the nursing profession was examined in this study. This analysis suggests there are definite characteristics of the work schedules that can influence a nurse's inclination to stay or leave the profession. This is not simply a question of "overwork," but of matching work schedules and hours as closely as possible to employee expectations. This suggests management needs to find a way to pay attention when nurses request changes in hours. The mere fact of changing schedules will not solve the nursing shortage, but it is one action within the management control of any organization employing nurses that could have a positive effect on retention.     

Trust, reputation and relationships in grazing rights markets: An experimental economic study

Trust is frequently a requirement for economic exchanges and the management of natural resources. Providing public information on past actions can promote trust through the formation of reputations. We developed an economic experiment to test whether a formal reputation mechanism could facilitate trusting relationships in the tradable grazing rights markets. Providing information to create formal public reputations for market participants did not increase the overall efficiency of the market. However, it did result in greater equality of income between partners, suggesting that participants showed more concern for their partners when they knew they would be rated. Even with public reputation information, bilateral relationships remained central to the market. Market failures in existing grazing rights markets may be better addressed by measures to increase communication between partners rather than simply relying on a formal reputation mechanism.     

Business cycle amplification with heterogeneous expectations

This paper studies the implications for business cycle dynamics of heterogeneous expectations in a stochastic growth model. The assumption of homogeneous, rational expectations is replaced with a heterogeneous expectations model where a fraction of agents hold rational expectations and the remaining fraction adopt parsimonious forecasting models that are, in equilibrium, optimal within a restricted class. Our approach nests the literature on rational expectations in business cycle models with a recent approach based on adaptive learning. We demonstrate that (i.) heterogeneous expectations can lead to substantial improvement in the internal propagation of equilibrium business cycle models and (ii.) the internal propagation depends on the degree of heterogeneity. A calibrated model with heterogeneity provides a closer fit to business cycle data than its representative agent, rational expectations counterpart.     

Older adult pedestrian injuries in the United States: causes and contributing circumstances

As the US population ages, more older adults will face transportation and mobility challenges. This study examines the characteristics and contributing circumstances of nonfatal older adult pedestrian injuries. Data were obtained from the National Electronic Injury Surveillance System-All Injury Programme (NEISS-AIP) for the years 2001 through 2006. Cases included persons aged 65 years and older who were nonfatally injured on a public roadway. The results indicated that on average, an estimated 52,482 older adults were treated in emergency departments each year for nonfatal pedestrian injuries. Falling and being hit by a motor vehicle were the leading mechanisms of injury, resulting in 77.5% and 15.0% of older adult pedestrian injuries, respectively. More than 9000 older pedestrian fall-related injuries each year involved a kerb. It is concluded that the growth in the older adult population could add to the overall burden of these nonfatal pedestrian injuries. Making transportation and mobility improvements, including environmental modifications, is important for preventing these injuries.     

并购交易中的金降落伞计划

对于即将奔赴海外进行并购的中国企业而言,必须仔细审视这些“金降落伞”计划是否会加大收购成本或增加目标公司现金支出从而阻碍购并。     

How Capitalism Endogenously Creates Rising Income Inequality and Economic Crisis: The Macro Political Economy Model of Early Industrial Relations

A major economic issue today is the causes and consequences of wage stagnation and rising income inequality. This paper uncovers, describes, and formalizes the macro political economy model developed by pre–New Deal institutional/industrial relations economists to explain these issues. The model is formalized in a three‐part diagram and used to explain the role of inequality and wage stagnation in causing the Great Depression and World Financial Crisis and the appropriate policy responses.     

A rapid assessment of wildlife tourism risk posed to cetaceans in Asia

Dolphin-watching tourism is growing globally. In developing countries, the typically low environmental awareness of operators and poorly enforced or non-existent regulations exacerbate risks to wildlife. Ecological indicators like behavioural responses are useful to assess wildlife tourism, but obtaining such data is slow and expensive. We modified the Driver–Pressure–State–Impact–Response (DPSIR) framework to rapidly assess the risk of dolphin-watching tourism harming, displacing or causing local extinction to dolphin populations, using human dimension data to complement limited ecological data. We assessed industries at seven dolphin-watching sites in six countries in Asia: Cambodia, India, Indonesia, Malaysia, Thailand, and the Philippines. All sites have reached or almost reached financial saturation except Cambodia and Malaysia. We find high risk to dolphins at the sites in India and Indonesia and intermediate risk at the site in Cambodia. Pending more ecological data, the risk at Thailand, the Philippines, and Malaysian sites might be low. Our analysis also indicates site-specific conservation recommendations for Driver, Pressure and Response. We suggest that the DPSIR framework is useful to assess the risk of a wildlife watching industry, even when the impact is uncertain due to insufficient ecological data.