Newswise,
January 27, 2016 — Food imported into the United States from countries with a
low gross domestic product (GDP) poses higher risks than food from richer
countries, according to a new study analyzing 10 years’ worth of U.S. Food and
Drug Administration (FDA) data on food import violations.
The
new study comes amid concerns as the United States imports increasingly large
amounts of fish, meat, vegetables, and other products.
The
novel analysis of FDA’s 2002-2007 data on food import violations suggests that
“the size of a country’s economy appears to be a more important determinant of
food safety than its wealth,” or GDP per capita, according to the study,
“Import Security: Assessing the Risks of Imported Food.”
The
research was conducted by Jonathan Welburn and Vicki Bier⎯of the
University of Wisconsin−Madison,
Department of Industrial and Systems Engineering⎯and Steven Hoerning, of Stanford University’s Graduate
School of Business. It was published in the online version of Risk
Analysis, a publication of the Society for Risk Analysis.
“We
present a novel use of existing data to provide partial answers on food import
risks that are not easy to obtain by other means,” says Welburn.
“Our
results suggest that the risk level of imported food is higher for foods from
low-GDP countries. High-GDP countries, on the other hand, may be better able to
reduce risks through standards and regulations.
“Consequently,
importers may wish to pay more for products from high-GDP countries, or work
closely with suppliers from low-GDP countries to ensure good safety practices.”
“The
results should be useful to supply-chain managers in determining whether the
cost savings associated with a change to a lower cost source country are
worthwhile given possible increases in risk, and also in assessing the need for
risk-reduction measures such as producer safety training for some product types
and source countries,” according to the authors. The results should also help
FDA target inspections, they add.
To
quantify imported food risks, the researchers used FDA Inspection Refusal
Report (IRR) data. FDA generates an IRR when its inspectors refuse to admit a
shipment into the United States.
Imports
can be refused for botulism, filth, rotting foods, or other blatant food-safety
concerns, as well as for “less dramatic violations,” such as the lack of
required documentation.
FDA
only needs to prove the appearance of a violation, not an actual violation, so
a refusal is “not an absolute measure of risk, and is interpreted as a proxy
for risk,” according to the paper.
In
closely examining the FDA violations data by country, the researchers
concluded, “refusals alone are not a good indicator of risk.”
The
data showed that the top 15 violators were all major U.S. trading partners,
such as Mexico, China, and the United Kingdom, suggesting that the number of
refusals is driven by food import volume.
But
when the refusals were normalized using the volume of imports (measured in
millions of dollars), major trading partners were no longer exclusively
identified as the high-risk countries and the list no longer included
high-income countries.
For
example, the normalized analysis found that the highest-risk country, Iraq, has
averaged 204 refusals per million dollars of imports and Somalia has averaged
191 refusals per million dollars of imports.
As
an example of a low-risk, low-GDP country, Costa Rica averaged 41 refusals per
billion dollars of imports. China exemplifies a high-GDP nation that is better
able to manage risks. Normalizing refusals data helps put the data into
perspective, and the “rate of refusals is clearly a better risk measure than
refusals alone,” the authors conclude.
The
researchers call for improved data management and transparency. “In particular,
import violations data must be collated with separate trade data to quantify
risks,” says Welburn, urging improved data management and transparency. “To
facilitate this analysis, it would be helpful if the database on import
violations corresponded more closely with the database on trade volumes.”
Risk
Analysis: An International Journal is published by the nonprofit Society for
Risk Analysis (SRA), an interdisciplinary, scholarly, international society
that provides an open forum for all who are interested in risk analysis, a
critical function in complex modern societies. Risk analysis includes risk
assessment, risk characterization, risk communication, risk management, and
risk policy affecting individuals, public- and private-sector organizations,
and societies at a local, regional, national, or global level. www.sra.org
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