468 research outputs found
A Two-Stage Choice Experiment Approach to Elicit Consumer Preferences
Another version will replace the current draftchoice experiment, milk, attribute information, Agribusiness, Consumer/Household Economics, Food Consumption/Nutrition/Food Safety, Marketing,
Assessing willingness to pay for organic products in Africa: the case of Malawi
Demand and Price Analysis, Food Consumption/Nutrition/Food Safety, Production Economics,
EFFECTS OF ADDITIONAL QUALITY ATTRIBUTES ON CONSUMER WILLINGNESS-TO-PAY FOR FOOD LABELS
Contingent valuation (CV), choice experiment (CE) and experimental auction (EA) or the combinations of the three methods are often used by researchers to elicit consumer willingness to pay for food attributes (food labels). One concern about using these approaches is that quality attributes of food provided to respondents are assumed independent of other attributes which are not provided to respondents during the survey. The limited attributes provided in a survey may lead respondents to allocate their budgets to those limited attributes rather than allocate their budgets to a larger number of product attributes to truly reveal their preferences. Surveys containing a series of online CEs were collected to investigate the effects of additional beef steak attributes on consumer WTP in two different US markets. Random parameters logit models are estimated for each CE in the questionnaires with survey results from both samples. The models with the different survey samples reveal consistent results regarding changes in WTP with more attributes added to the CEs. Consumer WTP for the most important attributes in the CE decreases when the number of attributes increases from three to four, while the WTP for the most important attributes increases when the number of attribute increase from four to five. The changes in the WTP for attributes depend on their relationships with the newly added attributes to the CEs and the number of attributes in CEs.Food Labels, Willingness-to-Pay, Choice Experiment, Demand and Price Analysis,
Estimating Economies of Scope Using Profit Function: A Dual Approach of the Normalized Quadratic Profit Function
Replaced with revised version of paper 06/26/06.Research Methods/ Statistical Methods,
Consumer Demand for Healthy Diet: New Evidence from Healthy Eating Index
Replaced with revised version of paper 07/20/10.Food Consumption/Nutrition/Food Safety, Health Economics and Policy,
Weight Control Strategies and Diet Quality
obesity, diet quality, nhanes, Consumer/Household Economics, Food Consumption/Nutrition/Food Safety, I00,
The Impact of Country of Origin Label on Consumers' Willingness-to-Pay for Organic Food
organic food, country of origin, choice experiment, Agribusiness, Consumer/Household Economics, Food Consumption/Nutrition/Food Safety, Marketing,
Reverse k Nearest Neighbor Search over Trajectories
GPS enables mobile devices to continuously provide new opportunities to
improve our daily lives. For example, the data collected in applications
created by Uber or Public Transport Authorities can be used to plan
transportation routes, estimate capacities, and proactively identify low
coverage areas. In this paper, we study a new kind of query-Reverse k Nearest
Neighbor Search over Trajectories (RkNNT), which can be used for route planning
and capacity estimation. Given a set of existing routes DR, a set of passenger
transitions DT, and a query route Q, a RkNNT query returns all transitions that
take Q as one of its k nearest travel routes. To solve the problem, we first
develop an index to handle dynamic trajectory updates, so that the most
up-to-date transition data are available for answering a RkNNT query. Then we
introduce a filter refinement framework for processing RkNNT queries using the
proposed indexes. Next, we show how to use RkNNT to solve the optimal route
planning problem MaxRkNNT (MinRkNNT), which is to search for the optimal route
from a start location to an end location that could attract the maximum (or
minimum) number of passengers based on a pre-defined travel distance threshold.
Experiments on real datasets demonstrate the efficiency and scalability of our
approaches. To the best of our best knowledge, this is the first work to study
the RkNNT problem for route planning.Comment: 12 page
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