Anyone in management knows that employees have their good days and their bad days--and that, for the most part, the reasons for their ups and downs are unknown. Most managers simply shrug their shoulders at this fact of work life. But does it matter, in terms of performance, if people have more good days than bad days? Teresa Amabile and Steven Kramer's new stream of research, based on more than 12,000 diary entries logged by knowledge workers over three years, reveals the dramatic impact of employees' inner work lives--their perceptions, emotions, and motivation levels--on several dimensions of performance. People perform better when their workday experiences include more positive emotions, stronger intrinsic motivation (passion for the work), and more favorable perceptions of their work, their team, their leaders, and their organization. What the authors also found was that managers' behavior dramatically affects the tenor of employees' inner work lives. So what makes a difference to inner work life? When the authors compared the study participants' best days to their worst days, they found that the single most important differentiator was their sense of being able to make progress in their work. The authors also observed interpersonal events working in tandem with progress events. Praise without real work progress, or at least solid efforts toward progress, had little positive impact on people's inner work lives and could even arouse cynicism. On the other hand, good work progress without any recognition--or, worse, with criticism about trivial issues--could engender anger and sadness. Far and away, the best boosts to inner work life were episodes in which people knew they had done good work and their managers appropriately recognized that work. 相似文献
This study investigates the governance role of a country’s legal and extra-legal institutions in explaining the variations in firms’ cost of equity capital induced by concentrated ownership structures from 21 countries. Using four implied cost of equity proxies, the results show that the large ownership-control divergence of the ultimate owner has a positive and significant impact on the firm’s cost of equity capital. The finding lends support to the entrenchment effect in that the concentrated ownership structure increases the firm’s external financing cost. Further analyses demonstrate that the higher equity cost induced by the ultimate ownership structure is significantly reduced by a country’s stronger legal and extra-legal institutions, highlighting the governance role played by a country’s institutions in reducing the firm’s external financing cost. 相似文献
This study uses local maximum likelihood (LML) methods recently proposed by Kumbhakar et al. (2007) to assess the technical efficiency of arable crop Kansas farms. LML techniques overcome the most relevant limitations associated to mainstream parametric stochastic and nonparametric frontier models. LML allows deriving farm‐level frontier parameter estimates. The relevance of using localized estimates is evidenced by the observed heterogeneity in production technologies. Technical efficiency scores derived from the LML approach [0.905] are higher than those of the DEA model under CRS [0.808] and SFA [0.804] and close to DEA‐VRS [0.917] ratings. Deriving reliable information about farm efficiency performance is relevant to identify inefficient farms and define adequate policy and management strategies. The use of refined methods has thus important implications. 相似文献
The proportion of agricultural production that is being transformed into biofuels has been growing worldwide over the last decade. This has spurred the food versus fuel debate. This article aims at shedding light on this issue by studying price volatility relationships between food and biofuel prices in Spain. We use an asymmetric MGARCH model to evaluate volatility spillovers between the Spanish biodiesel blend and refined sunflower oil prices. Empirical results confirm that there are bidirectional and asymmetric volatility spillovers between these two prices. 相似文献
This paper examines how the value of entrepreneurship by gender is related to regional behaviour. Researchers have traditionally defined entrepreneurial organization as separate to gender and to economic growth. Using the Global Entrepreneurship Monitor (GEM) we complete a dataset of 50 countries using variables such as total early-stage entrepreneurial activity (TEA) and opportunity-driven entrepreneurial activity (OPP). The methodology used proposes an analysis of regional convergence, comparing the evolution over time of both the rate of entrepreneurial activity and the ratios of opportunity-driven and need-driven entrepreneurial activity, distinguishing by gender. On the other hand, a regression model is proposed that explains the greater presence of female entrepreneurship. The results show that entrepreneurship by gender is an important factor to define different cluster of countries according to how men and women entrepreneurs create new economic opportunities.
This paper examines the impact of the 2016 election on substance use. One of Donald Trump's major campaign initiatives was to build a wall at the American/Mexican border, and he frequently made negative comments about various underrepresented groups. I hypothesize that this unorthodox rhetoric, coupled with Donald Trump's proposed policies during his campaign, created an exogenous shock of discrimination for women, and ethnic and racial minority groups when he was elected. The Behavioral Risk Factor Surveillance System dataset, which has a variety of health measures and demographic information compiled at the individual level, is utilized to empirically examine the hypothesis. I examine the average treatment effects of the election using a difference-in-differences estimation strategy. The results indicate that there has been an increase in cigarette use for Hispanic individuals. These results highlight the impact that discriminatory rhetoric by political leaders and public figures has on marginalized groups within society. Policy implications include new ways to target substance use by targeting discrimination. 相似文献
Some previous researchers have argued that trading strategies based on calendar spread time series momentum (STSM) can deliver significant returns (Szymanowska et al. 2014; Boons and Prado 2019), which, if true, is at odds with the efficient market hypothesis. These arguments however, do not exclude the unrealisable futures contract roll yield and are also affected by other empirical and statistical issues that may lead to misleading results. With more than 30 years of data, we investigate STSM in 22 US commodity futures markets. First, we assess whether past spread returns can predict future returns, a necessary condition for the existence of momentum. We find predictability to be very weak after correcting for the issues affecting prior research. Second, we implement STSM-based investment strategies. We compare STSM profits for individual markets and portfolios to profits generated by a simple long-only benchmark strategy that does not require any predictability. STSM does not generate returns statistically different from the benchmark trading strategy, with both strategies generating very low or negative returns. For the momentum to outperform the benchmark strategy, predictability should be three times larger than observed from real data, but would entail substantial downside risk. In sum, the empirical evidence indicates that returns from STSM-type strategies are illusive for the commodities and period studied. Our results strongly suggest that inclusion of unrealisable roll yield generates the illusion of profitable STSM trading strategies in previous research. 相似文献