scholarly journals PRICE REPORTING IN A THIN MARKET

2016 ◽  
Vol 48 (4) ◽  
pp. 345-365 ◽  
Author(s):  
KAYODE AJEWOLE ◽  
TED C. SCHROEDER ◽  
JOE PARCELL
Keyword(s):  
Market Information ◽  
Department Of Agriculture ◽  
Agricultural Marketing ◽  
Transaction Prices ◽  
Thin Markets ◽  
Thin Market ◽  
Marketing Service ◽  
The U.S ◽  
Normally Distributed

AbstractThin markets create challenges for reporting market information by the U.S. Department of Agriculture (USDA) and for users of the information. This study examines distributions of transactions comprising daily price reports in the U.S. hog market. We determine publicly reported daily prices are sensitive to which packing plants buy hogs. Transaction prices comprising USDA Agricultural Marketing Service price reports are not normally distributed; care must be taken in reporting and interpreting transaction prices. Economically important variations in prices occur because of packer-specific indicators. Daily reported prices are used as base prices in marketing agreements, making variation of even greater importance.

scholarly journals HOW ACCURATE ARE FARMERS IN ASSESSING THE GAINS ASSOCIATED WITH QUALITY? THE CASE OF THE MEAT GOAT INDUSTRY

2015 ◽  
Vol 47 (3) ◽  
pp. 411-440 ◽  
Author(s):  
JEFFREY GILLESPIE ◽  
NARAYAN NYAUPANE ◽  
KENNETH McMILLIN
Keyword(s):  
Department Of Agriculture ◽  
Agricultural Marketing ◽  
College Degrees ◽  
Meat Goat ◽  
Marketing Service ◽  
Service Data ◽  
Subjective Estimates

AbstractMeat goat producers were queried to determine subjective estimates of premiums they would receive for slaughter kids of various selection classes. Market-based predicted premium estimates were obtained via regression using published U.S. Department of Agriculture Agricultural Marketing Service data. Subjective versus market-based predicted premium estimates were compared to determine producer accuracy in predicting premiums. Producers tended to overestimate quality premiums. Producers more accurate in their estimates tended to be larger-scale and older and to hold college degrees, sell more slaughter goats via auction, and manage their goats more intensively. Results contribute to the literature on producer accuracy in predicting prices.

Survey of U.S. Wheat for Ochratoxin and Aflatoxin

1976 ◽  
Vol 59 (1) ◽  
pp. 122-124
Author(s):  
Odette L Shotwell ◽  
Marion L Goulden ◽  
Clifford W Hesseltine
Keyword(s):  
Winter Wheat ◽  
Ochratoxin A ◽  
Department Of Agriculture ◽  
Agricultural Marketing ◽  
Hard Red Spring Wheat ◽  
Soft Red Winter Wheat ◽  
Three Samples ◽  
Hard Red Winter Wheat ◽  
Marketing Service ◽  
Red Winter Wheat

Abstract A total of 291 hard red winter wheat samples, 286 hard red spring wheat samples, and 271 soft red winter wheat samples were analyzed for the presence of ochratoxin and aflatoxin. Samples in all grades came from those collected during crop years 1970–1973 for grade determinations by the Agricultural Marketing Service, U.S. Department of Agriculture. Sensitivity limits of the analytical method as carried out were 1–3 ppb aflatoxin B1 and 15–30 ppb ochratoxin A. No aflatoxin was detected in any sample. Three samples of hard red winter wheat (Grades U.S. No. 4 and 5 and Sample Grade) contained ochratoxin A (trace, 35, and 25 ppb, respectively). Eight of the hard red spring wheats contained ochratoxin A (15-115 ppb); these were in Grades U.S. No. 4 and 5 and Sample Grade.

scholarly journals Country of Origin Labeling: Evaluating the Impacts on U.S. and World Markets

2009 ◽  
Vol 38 (3) ◽  
pp. 397-405 ◽  
Author(s):  
Keithly G. Jones ◽  
Agapi Somwaru ◽  
James B. Whitaker
Keyword(s):  
Equilibrium Model ◽  
Country Of Origin ◽  
Trade Flows ◽  
Production Costs ◽  
Agricultural Marketing ◽  
Country Of Origin Labeling ◽  
World Markets ◽  
Additional Production ◽  
Marketing Service ◽  
The U.S

A provision of the Food, Conservation, and Energy Act of 2008 requires country of origin labeling (COOL) for certain agricultural commodities. To comply with the law, producers, processors, and retailers face additional production costs associated with labeling, separating, and tracking commodities. Using estimated costs provided by the U.S. Department of Agriculture's Agricultural Marketing Service (AMS), we simulate the impacts of mandatory COOL on U.S. and global agricultural markets using a global static general equilibrium model (STAGEM). The results show resource adjustments that lead to decreases in production, consumption, and trade flows. The results assume no demand premium for labeled commodities relative to unlabeled commodities.

scholarly journals Definition of Terms Used in the National Organic Program

EDIS ◽  
1969 ◽  
Vol 2004 (4) ◽  
Author(s):  
James J. Ferguson
Keyword(s):  
Cooperative Extension Service ◽  
Publication Date ◽  
United States Department ◽  
Department Of Agriculture ◽  
Agricultural Marketing ◽  
University Of Florida ◽  
Final Rule ◽  
Marketing Service ◽  
Definition Of ◽  
National Organic Program

The National Organic Program (NOP) under the direction of the Agricultural Marketing Service, United States Department of Agriculture was established to "facilitate domestic and international marketing of fresh and processed food that is organically produced and assure consumers that such products meet consistent, uniform standards." The final rule of the National Organic Program covers production, packing and processing, marketing, retailing, and other aspects of organic operations. Given the complexity of regulatory aspects of the National Organic Program, a set of definitions (107 terms) has been developed to clarify the meaning of specific words and phrases. This set of definitions is included here to make this information more easily accessible. This document is HS963, one of a series of the Horticultural Sciences Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. Publication date: January 2004. https://edis.ifas.ufl.edu/hs209

Validation of the ISO-GRID® 2-Day Rapid Screening Method for Detection of Salmonella spp. in Egg Products

1996 ◽  
Vol 59 (5) ◽  
pp. 555-558 ◽  
Author(s):  
PHYLLIS ENTIS
Keyword(s):  
Comparative Study ◽  
Screening Method ◽  
Rapid Screening ◽  
Official Method ◽  
Salmonella Spp ◽  
Department Of Agriculture ◽  
Egg Products ◽  
Rapid Screening Method ◽  
Marketing Service ◽  
The U.S

A comparative study was carried out in three laboratories to evaluate the performance in egg products of the ISO-GRID® rapid Salmonella method (Official Method #991.12 of AOAC International against the U.S. Department of Agriculture, Agriculture Marketing Service (USDA/AMS Salmonella method. Both methods performed identically in both frozen, liquid, and dried egg products. As a result of this study, the ISO-GRID® Salmonella method was accepted by USDA/AMS as a valid method for the detection of Salmonella spp. in egg products.

scholarly journals Estimating a global demand model for soybean traffic through the Panama Canal

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Javier Ho ◽  
Paul Bernal
Keyword(s):  
Pacific Northwest ◽  
Least Square ◽  
Panama Canal ◽  
Demand Model ◽  
Department Of Agriculture ◽  
Explanatory Variables ◽  
Ordinary Least Square ◽  
Global Demand ◽  
Alternative Routes ◽  
The U.S

AbstractThis study attempts to fit a global demand model for soybean traffic through the Panama Canal using Ordinary Least Square. Most of the soybean cargo through the interoceanic waterway is loaded on the U.S. Gulf and East Coast ports -mainly destined to East Asia, especially China-, and represented about 34% of total Panama Canal grain traffic between fiscal years 2010–19. To estimate the global demand model for soybean traffic, we are considering explanatory variables such as effective toll rates through the Panama Canal, U.S. Gulf- Asia and U.S. Pacific Northwest- Asia freight rates, Baltic Dry Index, bunker costs, soybean export inspections from the U.S. Gulf and Pacific Northwest, U.S. Gulf soybean basis levels, Brazil’s soybean exports and average U.S. dollar index. As part of the research, we are pursuing the estimation of the toll rate elasticity of vessels transporting soybeans via the Panama Canal. Data come mostly from several U.S. Department of Agriculture sources, Brazil’s Secretariat of Foreign Trade (SECEX) and from Panama Canal transit information. Finally, after estimation of the global demand model for soybean traffic, we will discuss the implications for future soybean traffic through the waterway, evaluating alternative routes and sources for this trade.

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