420 research outputs found

    CONSUMER DEMAND FOR ECOLABELED APPLES: SURVEY METHODS AND DESCRIPTIVE RESULTS

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    This paper examines potential consumer demand for ecolabeled apples. Since apples are purchased by 90% of U.S. households, we are able to investigate the choices of a large and diverse cross section of consumers. Focusing on a single agricultural product such as apples enables us to investigate more specific and realistic consumer choices. This paper also examines how different types of ecolabel claims might affect consumer demand. Ecolabels may vary in terms of the comprehensiveness of their environmental claims and the amount of proof substantiating claims. Ecolabels might claim to reduce only a single environmental impact or they might claim to reduce multiple environmental impacts. There may be no proof for the claims other than seller reputation or the claims might be documented and verified by a highly reputable third party (e.g. government agency, private firm, non-profit environmental group). Each unique combination of claim comprehensiveness and proof represents a different ecolabel and thus a different good. This paper examines how two levels of claim comprehensiveness and two forms of proof affect consumer demand. Finally, this paper examines factors affecting consumer demand for ecolabels. These factors include prices, income, household size and education. They also include familiarity with the claim and personal motivations such as improved health and environmental concerns. Both the purchase location of apples and whether or not an individual normally buys organic are also examined.Demand and Price Analysis, Food Consumption/Nutrition/Food Safety,

    CONSUMER DEMAND FOR ECOLABELED APPLES: RESULTS FROM ECONOMETRIC ESTIMATION

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    This article presents a theory and empirical estimates of consumer demand for ecolabeled apples. The effect of varying comprehensiveness of environmental claims and amount of proof supporting claims is examined. Data are from telephone interviews with 893 randomly selected U.S. households. Substantial demand for ecolabeled apples is found. Variations in claim comprehensiveness and amount of proof are statistically insignificant.Demand and Price Analysis, Food Consumption/Nutrition/Food Safety,

    CONSUMER DEMAND FOR ECOLABELED APPLES: RESULTS FROM ECONOMETRIC ESTIMATION

    No full text
    This article presents a theory and empirical estimates of consumer demand for ecolabeled apples. The effect of varying comprehensiveness of environmental claims and amount of proof supporting claims is examined. Data are from telephone interviews with 893 randomly selected U.S. households. Substantial demand for ecolabeled apples is found. Variations in claim comprehensiveness and amount of proof are statistically insignificant

    CONSUMER DEMAND FOR ECOLABELED APPLES: SURVEY METHODS AND DESCRIPTIVE RESULTS

    No full text
    This paper examines potential consumer demand for ecolabeled apples. Since apples are purchased by 90% of U.S. households, we are able to investigate the choices of a large and diverse cross section of consumers. Focusing on a single agricultural product such as apples enables us to investigate more specific and realistic consumer choices. This paper also examines how different types of ecolabel claims might affect consumer demand. Ecolabels may vary in terms of the comprehensiveness of their environmental claims and the amount of proof substantiating claims. Ecolabels might claim to reduce only a single environmental impact or they might claim to reduce multiple environmental impacts. There may be no proof for the claims other than seller reputation or the claims might be documented and verified by a highly reputable third party (e.g. government agency, private firm, non-profit environmental group). Each unique combination of claim comprehensiveness and proof represents a different ecolabel and thus a different good. This paper examines how two levels of claim comprehensiveness and two forms of proof affect consumer demand. Finally, this paper examines factors affecting consumer demand for ecolabels. These factors include prices, income, household size and education. They also include familiarity with the claim and personal motivations such as improved health and environmental concerns. Both the purchase location of apples and whether or not an individual normally buys organic are also examined

    DUNE Offline Computing Conceptual Design Report

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    This document describes Offline Software and Computing for the Deep Underground Neutrino Experiment (DUNE) experiment, in particular, the conceptual design of the offline computing needed to accomplish its physics goals. Our emphasis in this document is the development of the computing infrastructure needed to acquire, catalog, reconstruct, simulate and analyze the data from the DUNE experiment and its prototypes. In this effort, we concentrate on developing the tools and systems thatfacilitate the development and deployment of advanced algorithms. Rather than prescribing particular algorithms, our goal is to provide resources that are flexible and accessible enough to support creative software solutions as HEP computing evolves and to provide computing that achieves the physics goals of the DUNE experiment

    DUNE Offline Computing Conceptual Design Report

    No full text
    This document describes Offline Software and Computing for the Deep Underground Neutrino Experiment (DUNE) experiment, in particular, the conceptual design of the offline computing needed to accomplish its physics goals. Our emphasis in this document is the development of the computing infrastructure needed to acquire, catalog, reconstruct, simulate and analyze the data from the DUNE experiment and its prototypes. In this effort, we concentrate on developing the tools and systems thatfacilitate the development and deployment of advanced algorithms. Rather than prescribing particular algorithms, our goal is to provide resources that are flexible and accessible enough to support creative software solutions as HEP computing evolves and to provide computing that achieves the physics goals of the DUNE experiment
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