U.S. Food and Agriculture Industries Economic Impact Study, 2019
The 2019 Food and Agriculture Industries Economic Impact Study estimates the economic contributions made by the food industry to the U.S. economy in 2019. For the purpose of the study, the food industry included any businesses involved in food agriculture, food manufacturing, food wholesaling, and food retailing (so-called “farm to fork”). John Dunham & Associates conducted this research, which was funded by The Goodstone Group.
The study measures the number of jobs in food and agriculture related industries; the wages paid to employees, the value added and total output. In addition, it measures the economic impact of the suppliers that support the food and agriculture industries, as well as those industries supported by the induced spending of direct and supplier industries.
Industries are linked to each other when one industry buys from another to produce its own products. Each industry in turn makes purchases from a different mix of other industries, and so on. Employees in all industries extend the economic impact when they spend their earnings. Thus, economic activity started in food and agriculture industries generates output (and jobs) in hundreds of other industries, often in states far removed from the original economic activity. The impact of supplier firms, and the “induced impact” of the re-spending by employees of industry and supplier firms, is calculated using an input/output model of the United States. The study calculates the impact on a national basis, by state, and by Congressional District.
The study also estimates taxes paid by the industries and their employees. Federal taxes include industry-specific excise and sales taxes, business and personal income taxes, FICA, and unemployment insurance. State and local tax systems vary widely. Direct retail taxes include state and local sales taxes, license fees, and applicable gross receipt taxes. In addition, businesses pay real estate and personal property taxes, business income taxes, and other business levies that vary in each state and municipality.
The food and agriculture industries are dynamic contributors to the U.S. economy, accounting for about $2,819.79 billion in output or about 14.1% of total national output. They employ approximately 22.78 million Americans who earned wages and benefits of about $729.37 billion. Economic activity in the food and agriculture sectors generates as many as 22.8 million jobs and $4,244.05 billion economic output in supplier industries and sectors supported through induced spending. Members of the industries and their employees, and these supplier and induced industries, paid $913.13 billion in federal, state and local taxes. This does not include state and local sales taxes or excise taxes that may apply for specific retail services.
The food and agriculture industries (as defined in this study) include businesses involved in food agriculture, food manufacturing, food wholesaling, and food retailing. The food and agriculture industries reach into all corners of the United States, employing 22.78 million and generating $729.37 billion in wages. Retail grocery businesses directly generate $2,819.79 billion in economic activity nationally. The direct employment of the food and agriculture industries is equivalent to 14.9% of total U.S. employment.
Other firms are related to the food and agriculture industries as suppliers. These firms produce and sell a broad range of items and including tools and equipment, trucks, and shelving. In addition, supplier firms provide a broad range of services, including personnel services, financial services, advertising services, consulting services or transportation services. Finally, a number of people are employed in government enterprises responsible for the regulation of the food and agriculture industries. All told, we estimate that the industry is responsible for 10.82 million supplier jobs. These firms generate about $2,193.49 billion in economic activity.
An economic analysis of the industry will also take additional linkages into account. While it is inappropriate to claim that suppliers to the industry’s indirect firms are part of the industry being analyzed, the spending by employees of the industry, and that of indirect firms whose jobs are directly dependent on the food and agriculture industries, should be included. This spending – on everything from housing, to food, to education and medical care – makes up what is traditionally called the “induced impact,” or multiplier effect, of the food and agriculture industries. For 2019, the induced impact of the industry generates 11.99 million jobs and $2,050.56 billion in economic impact, for a multiplier of 0.73.
An important part of an impact analysis is the calculation of the contribution of the industry to the public finances of the country. In the case of the retail grocery industry, the direct taxes paid by firms and their employees provide $536.89 billion to the Federal Government and $376.24 billion to state and local governments. These figures do not include state and local sales and excise taxes that might be incurred by consumers.
Table 1 presents a summary of the total economic impact of
the food and agriculture industries in the United States. Summary tables for
the United States, individual states, congressional districts, and state
legislative districts are included in the Output Model, which is discussed in
the following section.
Model Description and Data
The Economic Impact Study begins with the IMPLAN model of the United States economy. Food-related IMPLAN industries are identified, and a matrix of state-by-state employment in the food industries is constructed. Since our most recent IMPLAN model is based off of 2016 employment and output data, we identified the growth rate in these industries through the end of 2018. The growth trends are based on annual jobs data by NAICS sector, as recorded by the Bureau of Labor Statistics’ Quarterly Census of Employment and Wages. Combining the original industry job with the growth in employment in the industry, we estimate jobs for the beginning of 2019. A percentage break is applied to any IMPLAN industry which has significant business outside the scope of the food industry in order to isolate that portion of business related to food. Product breaks are based off the 2012 Economic Census of Retail Trade and the 2012 Economic Census of Wholesale Trade (the most recent data available). The intuition being, if ten percent of a wholesaler’s business is moving and storing food-related products then ten percent of the wholesale jobs in that state should be considered food industry jobs. The job estimates are then run through the IMPLAN Input-Output model to estimate wages, output, and business taxes, as well as the supplier and induced impacts.
Table 2 at the end of the document summarizes the industries included in the study. The first two columns are the IMPLAN code and industry for those identified as food-related. The third column identifies which category corresponds with the particular industry. These are the categories presented on the data tables. The final column identifies which industries have a percentage applied to reflect only the food-related share of business. For those marked ‘no’, all jobs are assumed to be food-related; For those marked ‘yes’, the industry does business outside of the scope of the food industry and a percentage break is applied.
Francoise Quesnay one of the fathers of modern economics, first developed the analytical concept of inter-industry relationships in 1758. The concept was actualized into input-output analysis by Wassily Leontief during the Second World War, an accomplishment for which he received the 1973 Nobel Prize in Economics.
Input-Output analysis is an econometric technique used to examine the relationships within an economy. It captures all monetary market transactions for consumption in a given period and for a specific geography. The IMPLAN model uses data from many different sources – as published government data series, unpublished data, sets of relationships, ratios, or as estimates. The IMPLAN Group, LLC gathers this data, converts it into a consistent format, and estimates the missing components.
There are three different levels of data generally available in the United States: Federal, State and County. Most of the detailed data are available at the County level, but there are many issues with disclosure – especially in the case of smaller industries. IMPLAN overcomes these disclosure problems by combining a large number of datasets and by estimating those variables that are not found from any of them. The data is then converted into national input-output matrices (Use, Make, By-products, Absorption and Market Shares) as well as national tables for deflators, regional purchase coefficients and margins.
The IMPLAN Make matrix represents the production of commodities by industry. The Bureau of Economic Analysis (BEA) Benchmark I/O Study of the US Make Table forms the bases of the IMPLAN model. The Benchmark Make Table is updated to current year prices, and rearranged into the IMPLAN sector format. The IMPLAN Use matrix is based on estimates of final demand, value-added by sector and total industry and commodity output data as provided by government statistics or estimated by IMPLAN. The BEA Benchmark Use Table is then bridged to the IMPLAN sectors. Once the re-sectoring is complete, the Use Tables can be updated based on the other data and model calculations of interstate and international trade.
In the IMPLAN model, as with any input-output framework, all expenditures are in terms of producer prices. This allocates all expenditures to the industries that produce goods and services. As a result, all data not received in producer prices is converted using margins which are derived from the BEA Input-Output model. Margins represent the difference between producer and consumer prices. As such, the margins for any good add to one.
Deflators, which account for relative price changes during different time periods, are derived from the Bureau of Labor Statistics (BLS) Growth Model. The 224 sector BLS model is mapped to the 536 sectors of the IMPLAN model. Where data are missing, deflators from BEA’s Survey of Current Businesses are used.
Finally, the Regional Purchase Coefficients (RPCs) – essential to the IMPLAN model – must be derived. IMPLAN is derived from a national model, which represents the “average” condition for a particular industry. Since national production functions do not necessarily represent particular regional differences, adjustments need to be made. Regional trade flows are estimated based on the Multi-Regional Input-Output Accounts, a cross-sectional database with consistent cross interstate trade flows developed in 1977. These data are updated and bridged to the 536 sector IMPLAN model.
Once the databases and matrices are created, they go through
an extensive validation process. IMPLAN builds separate state and county models
and evaluates them, checking to ensure that no ratios are outside of recognized
bounds. The final datasets and matrices are not released before extensive
testing takes place.
Table 2. IMPLAN Industries, Report Grouping, and Additional Data for 2019 Economic Impact Study
 In 2019, we have relied on zip code based employment data supplied by Infogroup, the leading provider of business and consumer data for the top search engines and leading in-car navigation systems in North America. Infogroup gathers data from a variety of sources, by sourcing, refining, matching, appending, filtering, and delivering the best quality data. Infogroup verifies its data at the rate of almost 100,000 phone calls per day to ensure absolute accuracy.
 These firms would more appropriately be considered as part of the indirect firm’s industries.
 Often economic impact studies present results with very large multipliers – as high as 4 or 5. These studies invariably include the firms supplying the induced industries as part of the induced impact. John Dunham & Associates believes that this is not an appropriate definition of the induced impact and as such limits this calculation only to the effect of spending by direct and indirect employees.
 This section is paraphrased from IMPLAN Professional: Users Guide, Analysis Guide, Data Guide, Version 2.0, MIG, Inc., June 2000.