新风能瞬间理论的研究与讨论

根据惯性运动理论和守恒定律进行科学逻辑推理,探索出来的新风能瞬间理论,其以科学理论为基础,深刻地揭示了自然规律。文章对新风能瞬间理论进了阐述,并对其具体应用作了介绍。     

International portfolio diversification benefits: Cross-country evidence from a local perspective

We investigate how the benefits of international portfolio diversification differ across countries from the perspective of a local investor. We find that the benefits of investing abroad are largest for investors in developing countries, including when controlling for currency effects. Most of the benefits are obtained from investing outside the region of the home country. These global diversification benefits remain large when controlling for short-sales constraints in developing stock markets. The gains from international portfolio diversification appear to be largest for countries with high country risk. In addition to this cross-sectional evidence, we also provide evidence that diversification benefits vary over time as country risk changes. We find that diversification benefits have decreased for most countries in our sample over the past two decades.     

Factors Impacting Food Safety Risk Perceptions

We developed and applied a model of consumer risk perceptions of beef food safety to better understand the underlying drivers of consumer demand for food safety. We show how consumer demographics, country‐of‐residence, as well as reliance on, and trust in, alternative food safety information sources affect risk perceptions of consumers in Canada, Japan and the United States. Consumers in all three countries have risk perceptions shaped by their level of reliance on observable and credence attribute information. Risk perceptions of consumers in each country are significantly higher for those less trusting of doctors. Moreover, personal and indirect food safety experiences substantially affect risk perceptions. These results are useful to decision‐makers in developing more efficient supply chain management strategies and public policies aimed at building or sustaining consumer confidence in food safety.     

Country impacts of multilateral oil sanctions

In recent years, economic sanctions have become an important tool in the conduct of U.S. foreign policy. Though usually aimed at a single country, they also can affect the economies of other nations. Knowledge of such impacts would inform U.S. policy-makers as to which other countries might be helped or harmed, and help predict which other nations likely would support or oppose the sanctions. This article presents results relating to the imposition of sanctions in the oil market. These results are obtained from exercising a dynamic computable general equilibrium model built by Charles River Associates under sponsorship of the American Petroleum Institute. The model is used to analyze GDP effects on a number of countries from multilateral oil sanctions against Iraq. The results suggest that it is possible to provide useful information regarding the impacts of sanctions as a foreign policy tool. However, they also indicate that sanctions can be expensive, with substantial spillover effects. Though sanctions may be an appropriate policy choice in given instances, these effects should be incorporated into foreign policy analyses.     

Towards a Theory of Revealed Economic Behavior: The Economic-Neurosciences Interface

Based on recent findings from economics and the neurosciences, we present a conceptual decision-making model that provides insight into human decision-making and illustrates how behavioral outcomes are transformed into phenomena. The model may be viewed as a bridge between the seemingly disparate disciplines of neuroscience and economics that may facilitate more integrative research efforts and provide a framework for developing research agendas for scientists interested in human behavior and economic phenomena.     

Automated feature extraction from social media for systematic lead user identification

Manufacturers strive to rapidly develop novel products and offer solutions that meet the emerging customer needs. The Lead User Method, emerging from studies on sources of innovation by the scientific community, offers a validated approach to identify users with innovation ideas to support rapid and successful new product development process. The approach has been more recently applied on online communities, where collection and analysis of rich user data are performed by expert practitioners. In this paper, feature extraction techniques are outlined, that enable automated classification and identification of lead users that are present in online communities. The authors describe two case studies to construct a classification model that is then used to identify online lead users for confectionery products, and to evaluate the outlined feature extraction techniques. The presented research points to opportunities in automated identification within the lead user approach that further reduce the resource and time costs.     

Surveying Farmers: A Case Study

A large percentage of farmers do not respond to mail surveys. To gain insight into why farmers do not respond and how to improve response rates, a three-step research design was developed. First, an initial survey, based on in-person interviews with 15 farmers, was sent to 100 farmers. Second, farmers who did not respond to this mail survey were contacted by phone to investigate the reasons for not responding. Third, based on the information from these nonrespondents, the survey instrument was revised and sent to 3,990 U.S. farmers. Our studies show that the period in which the survey is sent is a crucial factor in the willingness to participate, along with the form and amount of compensation, the sender of the questionnaire, and the perceived length of the questionnaire.     

The motivation for hedging revisited

This article develops an alternative view on the motivation to hedge. A conceptual model shows how hedging facilitates contract relationships between firms and can solve conflicts between firms. In this model, the contract preferences, level of power, and conflicts in contractual relationships of firms are driving the usage of futures contracts. The model shows how using futures markets can provide a jointly preferred contracting arrangement, enhancing relationships between firms. The robust nature of the conceptual model is empirically examined through a computer‐guided study of various firms. © 2000 John Wiley & Sons, Inc. Jrl Fut Mark 20:865–885, 2000.     

Measuring the effect of risk attitude on marketing behavior

Despite extensive study, researchers continue to search for consistent and reliable measures of risk preferences to explain market behavior. We find that a measure, combining experiments rooted in expected utility theory and measures derived from surveys, explains spot and contractual sales, but does not exhibit substantially greater explanatory power than its underlying components. Survey‐based measures are generally more significant indicators of marketing choices, but experimental measures reveal how risk attitudes vary over a range of probable outcomes, which is important in light of increased commodity price volatility. Given recently identified limitations on the applicability of expected utility theory, we suggest that researchers include survey methods to obtain low‐cost supplemental measures.