项目投资决策中折现率的选择

项目投资是否可行需要根据决策评价指标来判断,而评价指标的计算离不开折现率,其高低对决策结果起着关键性作用.所以,要正确选择折现率,提高决策质量.     

WTO financial services commitments: Determinants and impact on financial stability

The paper investigates the factors that have influenced WTO members to take on their chosen level of liberalization commitments in the framework of liberalization of trade in financial services and the impact of such commitments on financial sector stability. The most important factors are economic growth, current account, trends in banking sector development, policy restrictiveness, and peer-group effects. The econometric evidence suggests that more liberal commitments may be associated with greater vulnerability to currency and banking crises—most likely a short-term effect, which should be mitigated with time through increased market efficiency and better resource allocation.     

An optimization approach to business buyer choice sets: How many suppliers should be included?

In many new or repeat purchasing situations, business buyers must decide how many suppliers to consider (a “choice set”) in determining which supplier(s) to actually buy from or contract with. This paper develops an optimization approach to determining the size of the choice set, taking into consideration buyer utility and search and evaluation costs. A theoretical model is developed for both one-time and repeat purchase situations. The model is estimated using empirical data received from bids received for procurement auctions. In these auctions, suppliers provide bids for steel pipe based on two product attributes (price and delivery time). Model sensitivity to small changes in parameters is also tested.     

Country of origin labeling for complex supply chains: the case for labeling the location of different supply chain links

We investigate the value of a country of origin label (COOL) that separately identifies the geographic location of different stages in a food product's supply chain. We estimate the willingness‐to‐pay (WTP) of U.S. consumers for a packaged cereal product where the key grain ingredient may be grown in one country and processed in a second country (multicountry supply chain) and compare it to equivalent products that have both stages located in a single country. We find consumer WTP for products with single‐country and multicountry supply chains are statistically different, meaning that simplifying a multicountry label by listing only the country where the ingredients are grown or only the country where the ingredients are processed can result in different consumer values. We also find that for countries with a poor quality reputation, consumers respond more negatively when that country has the “last touch” than when that country's involvement is limited to upstream supply chain links.     

An Empirical Investigation of Composite Product Choice

Prior ingredient branding research has examined the influence of “stated” factors such as fit between partner brands on composite product (e.g., Tide with Downy fabric softener) attitudes. This research focuses on choice of composite products, and addresses three managerially relevant questions: Which consumer segments are more likely to adopt the composite product? Will the choice of the composite product have positive or negative reciprocal effects on partner brands? Will the introduction of the composite product benefit the primary or the secondary brand more? The authors use a brand choice model to investigate the “revealed” choice of complements-based composite products. Study results indicate that (i) despite high fit between the composite product and the primary brand, consumer segments may have different choice likelihoods for these products, whereas prior research suggests equal likelihood; (ii) the choice of a composite product may not provide a positive reciprocal effect to the secondary brand; and (iii) the introduction of a composite product may benefit the primary brand more than the secondary brand, whereas prior research suggests a symmetrical benefit for the partner brands. Finally, the finding that introducing a composite product may not cannibalize the sale of the primary brand extends the ingredient branding literature, which has been silent on this issue.     

Forecast combinations under structural break uncertainty

This paper proposes two new weighting schemes that average forecasts based on different estimation windows in order to account for possible structural change. The first scheme weights the forecasts according to the values of reversed ordered CUSUM (ROC) test statistics, while the second weighting method simply assigns heavier weights to forecasts that use more recent information. Simulation results show that, when structural breaks are present, forecasts based on the first weighting scheme outperform those based on a procedure that simply uses ROC tests to choose and forecast from a single post-break estimation window. Combination forecasts based on our second weighting scheme outperform equally weighted combination forecasts. An empirical application based on a NAIRU Phillips curve model for the G7 countries illustrates these findings, and also shows that combination forecasts can outperform the random walk forecasting model.     

Valuation of ecosystem services provided by irrigated rice agriculture in Thailand: a choice experiment considering attribute nonattendance

This research investigates how the public of a middle‐income country, Thailand, values ecosystem services associated with irrigated rice agriculture using a choice experiment. The results show a significant willingness to pay for services such as drought mitigation, water quality and the environment and maintenance of rural lifestyles and rice landscapes. The iterative procedure developed to fully analyze the incidence of attribute nonattendance (ANA) improved the model fit when compared with a multinomial logit model or an ANA model with potentially only one attribute ignored at a time (ANA‐1). Moreover, the inferred probability of the class of respondents having attended all attributes was 45%, compared to 9% with ANA‐1 model. However, it also suggests that 55% of the respondents made their choices by considering only two of the five attributes. Finally, this research also suggests that failing to consider ANA does not change the public ranking of scenarios contrasted by the services they would provide but would overestimate the WTP for these scenarios.     

Which accessible travel products are people with disabilities willing to pay more? A choice experiment

Despite the rapidly increasing number of tourists with disabilities, which is known to have a strong nexus with senior travel market, tourism industry has paid little attention to the distinctive preferences of these tourists for accessible travel products. Using a sample of Koreans with mobility disabilities, this study aims to better understand how they make decisions to choose optimal accessible travel products. The results of the choice experiment indicate that respondents place the heaviest weight on the accessibility of accommodation facilities for their maximization of travel satisfaction. The results also suggest that tourists with disabilities show higher willingness-to-pay values on particular tour buses equipped with more accessibility devices. Based on study findings, this study provides several management implications that help tourism professionals develop appropriate accessible travel products for their clientele with disabilities.     

Random regret minimization for consumer choice modeling: Assessment of empirical evidence

This paper introduces to the field of marketing a regret-based discrete choice model for the analysis of multi-attribute consumer choices from multinomial choice sets. This random regret minimization (RRM) model, which has recently been introduced in the field of transport, forms a regret-based counterpart of the canonical random utility maximization (RUM) paradigm. This paper assesses empirical results based on 43 comparisons reported in peer-reviewed journal articles and book chapters, with the aim of finding out to what extent, when, and how RRM can form a viable addition to the consumer choice modeler's toolkit. The paper shows that RRM and hybrid RRM–RUM models outperform RUM counterparts in a majority of cases, in terms of model fit and predictive ability. Although differences in performance are quite small, the two paradigms often result in markedly different managerial implications due to considerable differences in, for example, market share forecasts.     

Does buffet choice architecture affect intake? The effect of relocating butter at a breakfast buffet on food intake

The aim of this study was to investigate if a changed default reduces the intake of butter among students at a breakfast buffet. Students were divided into two groups and served themselves from a breakfast buffet. The control group was offered a buffet where the butter was easily accessible, whereas the intervention group was offered a buffet where a request had to be made for butter. Single packed portions of butter taken from each part of the buffet, the number of students, and the number of habitual users in each group were recorded. At the regular buffet, 67 of 115 students were habitual butter users and 81 packs of butter were taken. At the buffet with the changed default, 16 of the 56 students were habitual butter users. Seventeen packs of butter were taken from the buffet. Slightly displacing butter at a breakfast buffet and forcing students to ask for that option significantly reduced uptake.