Livestock and Meat Marketing Study

Metadata Updated: February 21, 2020

GIPSA Livestock and Meat Marketing Study Final Reports (February 2007). In fiscal year 2003, GIPSA received $4.5 million in appropriations to study marketing practices in the whole livestock and red meat industry. In June 2004, at the end of a competitive bidding process, GIPSA awarded a $4.3 million contract to the RTI International (RTI) to conduct the study. RTI delivered an interim report in July 2005. The interim report described alternative marketing arrangements (AMAs), common terms in AMAs, and why industry participants used them. In February 2007, GIPSA released the final report. The final report included results from RTI’s analysis of the extent of use, price relationships, and costs and benefits of AMAs.

Access & Use Information

Public: This dataset is intended for public access and use. License: Creative Commons CCZero

Downloads & Resources

Dates

Metadata Created Date February 21, 2020
Metadata Updated Date February 21, 2020

Metadata Source

Harvested from USDA JSON

Additional Metadata

Resource Type Dataset
Metadata Created Date February 21, 2020
Metadata Updated Date February 21, 2020
Publisher Packers and Stockyards Programs
Unique Identifier USDA-GIPSA-00006
Maintainer
Irene Omade
Maintainer Email
Public Access Level public
Bureau Code 005:37
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Data Quality True
Harvest Object Id 447d1fad-8158-4f10-aefc-97db2d1dce24
Harvest Source Id 50ca39af-9ddb-466d-8cf3-84d67a204346
Harvest Source Title USDA JSON
License https://creativecommons.org/publicdomain/zero/1.0/
Data Last Modified 2015-05-27
Program Code 005:045
Publisher Hierarchy USDA-GIPSA > Packers and Stockyards Programs
Source Datajson Identifier True
Source Hash 18fbed42bc0c8d8a6d00d26fba5585d963f68b9f
Source Schema Version 1.1

Didn't find what you're looking for? Suggest a dataset here.