16,859 research outputs found

    Research on Innovation and Strategic Risk Management in Manufacturing Firms

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    Chinese manufacturing companies in Bangladesh are committed to achieving optimal investment policy for investors in different industries. The purpose of this research is the strategic risk assessment; where the research approach involves collecting qualitative data through questionnaire survey and compute variables with programmed Rough Set Theory. Researchers have identified a set of key internal and external strategic uncertainties and also accessed the most important attributes from strategic risks. Here, Sector regulation, changing the tax law and organizational governance as the most degree of risk factors in strategic risk analysis. Overall, the focus of our research is to identify strategic risk attributes and proposed a risk assessment framework by demonstrating empirical study analysis of specific industries in Bangladesh those are directly invested by Chinese investors

    Estimating Risk Preferences from Deductible Choice

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    We use a large data set of deductible choices in auto insurance contracts to estimate the distribution of risk preferences in our sample. To do so, we develop a structural econometric model, which accounts for adverse selection by allowing for unobserved heterogeneity in both risk (probability of an accident) and risk aversion. Ex-post claim information separately identifies the marginal distribution of risk, while the joint distribution of risk and risk aversion is identified by the deductible choice. We find that individuals in our sample have on average an estimated absolute risk aversion which is higher than other estimates found in the literature. Using annual income as a measure of wealth, we find an average two-digit coefficient of relative risk aversion. We also find that women tend to be more risk averse than men, that proxies for income and wealth are positively related to absolute risk aversion, that unobserved heterogeneity in risk preferences is higher relative to that of risk, and that unobserved risk is positively correlated with unobserved risk aversion. Finally, we use our results for counterfactual exercises that assess the profitability of insurance contracts under various assumptions.

    Does Gender Affect Investors' Appetite for Risk?: Evidence from Peer-to-Peer Lending

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    This study investigates the role of gender in financial risk-taking. Specifically, I ask whether female investors tend to fund less risky investment projects than males. To answer this question, I use real-life investment data collected at the largest German market for peer-to-peer lending. Investors' utility is assumed to be a function of the projects expected return and its standard deviation, whereas standard deviation serves as a measure of risk. Gender differences regarding the responses to projects' risk are tested by estimating a random parameter regression model that allows for variation of risk preferences across investors. Estimation results provide no evidence of gender differences in investors' risk propensity: On average, male and female investors respond similarly to the changes in the standard deviation of expected return. Moreover, no differences between male and female investors are found with respect to other characteristics of projects that may serve as a proxy for projects' risk. Significant gender differences in investors' tastes are found only with respect to preferred investment duration, purpose of investment project and borrowers' age.gender, investment choice, risk preferences

    A Framework for analyzing socioeconomic, health and environmental impacts of wastewater use in agriculture in developing countries

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    Waste water management / Environmental degradation / Waterborne diseases / Water quality / Irrigation practices / Aquaculture / Economic analysis / Social aspects / Health / Environmental aspects / Agriculture / Developing countries / Policy

    An economic analysis of forest land leasing for deer hunting in Louisiana

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    Uncertainty and Organization Design

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    The task environment, characterized by the degree of complexity, variability, and routine of workers’ tasks, creates varying degrees of asymmetric information between workers and their supervisors, as well as poses varying degrees of difficulty for supervisors and workers in making correct decisions. Thus the task environment generates internal uncertainty, some of which is under the control of workers, in contrast with external uncertainty, which arises from the market and is beyond their control. The measures that address problems associated with internal uncertainty (including incentives, delegation of decision-making to workers, monitoring by supervisors and internal labor markets) are elements of organization design. We explore theoretically and empirically the relationship between uncertainty and organization design, expanding on Baker and Jorgensen’s (2003) idea that the risk-incentives relationship depends on the nature and sources of risk and Prendergast’s (2002a) idea that incentive pay is not a direct response to a firm’s task attributes but is part of a broader organization design that includes additional complementary and substitutable elements.

    Assessing the Economic Impact of Sports Facilities on Residential Property Values: A Spatial Hedonic Approach

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    This paper estimates the intangible benefits of a two sports facilities in Columbus, Ohio on residential property values. We estimate a spatial hedonic model that avoids biased and inconsistent estimates in the presence of uncorrected spatial autocorrelation. The results suggest that the presence of sports facilities in Columbus have a significant positive distance-decaying effect on surrounding house values, supporting the idea that professional sports facilities generate important intangible benefits in the local economy. OLS overestimates the hedonic model parameters compared with Maximum Likelihood and Spatial Two Stage-Least-Squares.Economic Impact, Residential Property Values, Sports Facilities, Hedonic Model, Spatial Dependence, Spatial Hedonic Model
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