The importance of incorporating demographic effects into a demand system is demonstrated using Lewbel's unified functions. In this study, the empirical analysis of meat demand in urban China shows the benefit of utilizing the translation and scaling of budget shares.

The purpose of this study is to evaluate the economic benefits of country of origin labeling (COOL) regulation by estimating the consumer's willingness to pay (WTP) for Taiwan products vs. other imported products if clearly labeled with their countries of origin. We employ the Vickrey...

Researchers prefer to use a demand system that best fits their data. This paper examines a nonnested test of comparison between the quadratic expenditure system (QES) and the almost ideal demand system (AIDS). We determine which model is more suitable by analyzing the value and the significance...

The primary metals industry is defined by the Bureau of the Census as the Standard Industrial Classification (SIC) 33. In terms of both absolute amount of energy use and energy intensiveness, SIC-33 is large relative to other industries.' This paper estimates essential energy demand...

This research is aimed at investigating the consumer’s preference for food produced in Taiwan and the economic benefits for the country of origin labeling. The study uses both experimental auction and contingent valuation method (CVM) to investigate factors that affect the consumer’s...

This paper illustrates the importance of consumer segments for the estimation of the distribution of sample willingness to pay. We find evidence that those who prefer non-GM have a different marginal utility of income and that naïve pooling of consumer segments may yield a misleading...

Currently over 30% of American adults are obese, more than twice the percentage prevalent in 1980 (American Obesity Association). At the same time, almost 65% adult Americans are said to be overweight. Such high prevalence levels are a major public health concern. Both overweight and obesity are...

A telephone survey was conducted on genetically modified foods in the U.S. Consumers' attitudes are studied using a multiple correspondence analysis, and typology constructed through the use of a cluster analysis. Five distinct behaviors are extracted.