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These 15 Plants Slaughter 59% of All Hogs in the US

Headlines have started to appear indicating the shutdown of meat packing plants around the country as a result of COVID-19.

So, just how concentrated is meat processing and how impactful might a plant closure be? As it turns out, the National Pork Board puts out information on processing capacity. According to their data, the U.S. has the capacity to slaughter 506,470 pigs per day. Almost 60% of this capacity comes from just 15 plants.

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These plants are heavily concentrated around Iowa.

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Given the size relative to the industry, the closure of any of these plants has the potential to reduce hog prices and increase wholesale and retail pork prices (the economics are explained here). Glynn Tonsor and Lee Schultz’s recent analysis by suggests every 1% reduction in pork processing capacity is associated with a 1.82% reduction in hog prices. Hog prices have already been tumbling over the past couple weeks, potentially reflecting the market’s expectation of some capacity being brought off-line.

Meat and Egg Prices Following the COVID-19 Outbreak

The declaration of a national emergency on March 13, 2020 by President Donald Trump, and the corresponding state stay-at-home measures, caused significant disruptions in retail food markets.  Aside from take-out, many consumers were suddenly unable to dine at restaurants and food service establishments away from home, which according to U.S. Department of Agriculture data, represents about 54% of all food expenditures.  As a result, consumers turned to grocery stores and supermarkets, where the increase in demand, coupled with concerns about future reduced mobility and scarcity, led to a surge in foot traffic and sales. 

              For the week ending March 22, 2020, the number of trips to grocery stores and supermarkets increased 39%, and during each trip, consumers purchased about 12% more items, and spent, in aggregate, about 61% more as compared to the same week one year prior.  Fresh meat and frozen food sales led the increase in dollar sales.  Pork sales increased 101%, beef sales increased 95%, and chicken sales increased 70% for the week ending March 22, 2020 as compared to the same time period in 2019. 

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      Increasing food prices suggest the increased demand in grocery establishments appears to have more than compensated for the lost demand at restaurants, at least in the short run.  The figures below report U.S. Department of Agriculture data made available by the Livestock Marketing Information Center on wholesale prices of pork, beef, chicken, eggs.  In each of these cases. wholesale prices began dramatically rising at about the time President Trump declared the national emergency.  For example, wholesale pork prices jumped almost $20/cwt from about $65/cwt in early March to just under $85/cwt by mid-March.  For beef, wholesale boxed beef prices increased about $50/cwt, going from about $205/cwt to over $255/cwt.  Wholesale chicken prices increased a bit over $10/cwt over this same time period.  However, as the figures reveal, the price pressure has already started to subside for beef, pork, and chicken.  In fact, for pork and chicken, price levels are near or below what was experienced at the same time last year. 

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The case of eggs reveals a different story.  Wholesale egg prices were about $1/dozen in early to mid-March 2020, approximately in line with prices at the same time in 2019; however, prices have nearly tripled since that time, and by the week ending April 4, 2020, prices were $3/dozen, with the increase showing no sign of slowing yet.  A number of explanations have been offered for the price run-up in the egg market including consumer perceptions about the necessity of eggs and their longer shelf life relative to other animal proteins, dynamics associated with Easter egg buying, legal barriers that prohibited easy re-sale of eggs headed for restaurant markets to grocery, and the high degree of concentration in the egg production industry.

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The increases in wholesale meat prices were not initially met with corresponding increases in farm-level hog and beef prices, causing consternation among some producers.  Going forward, increased concerns about illness spread in packing houses is likely to reduce processing capacity, further exasperating this problem, putting downward pressure on livestock prices.  A paper by Glynn Tonsor and Lee Schultz suggests a 20% reduction in processing capacity due to COVID-19 plant shutdowns could reduce cattle prices by 26% and hog prices by 36%. As they note, these effects may already be “baked in” to future’s prices. Moreover, coming into 2020, animal inventories were high, leading to large projected total meat and egg production for the year.  Temporary stocking-up behavior on the part of consumers buoyed demand in the short run following outbreak of COVID-19, providing a respite to the downward price pressure expected for 2020.   However, the loss of restaurant sales, coupled with reduced consumer incomes from a likely recession, and export markets for meat products being hard hit by COVID-19 suggest the general downward price movements witnessed in cattle and hog markets may continue even if wholesale prices rebound should processing capacity be adversely affected by disruptions associated with COVID-19.  

Measuring changes in supply versus changes in demand

I just finished up a new working paper with Glynn Tonsor that shows how to determine the extent to which a change in price (or quantity) results from a change in supply and/or demand. For some time, Glynn has been reporting updated retail demand indices for meat products. In this new paper, we show how to calculate an analogous supply index, which might provide a useful way to determine how much productivity is changing over time. The basic idea is that we want a way to separate changes in quantity demanded (or supplied) versus a shift in the demand curve (or the supply curve). We also show how the two indicies can be used to determine changes in consumer and producer economic well-being over time.

Here’s the motivation:

In 2015, per-capita beef consumption in the U.S. reached a record low of 54 lbs/person, falling almost 20% over the prior decade from 2005 to 2015 alone (USDA, Economic Research Service, 2020). Why? Some environmental, public health, and animal advocacy organizations heralded the decline as an indicator of their efforts to convince consumers to reduce their demand for beef; others argued, instead, the change was a result of supply-side factors such as drought and higher feed prices (e.g., Strom, 2017). Per-capita beef consumption subsequently rebounded, and in 2018 was almost 6% higher than in 2015. Dramatic fluctuations in corn, soybean, and wheat prices in the late 2000s through the mid-2010s led to similar heated debates about whether and to what extent price rises were due to demand (e.g., biofuel policy and rising incomes in China) or supply (e.g., drought in various regions of the world) factors (e.g., Abbot, Hurt, Tyner 2019; Carter, Rouser, and Smith, 2016; Hochman, Rajagopal, and Zilberman, 2010; Roberts and Schlenker, 2013). These cases highlight the challenge of interpreting market dynamics and the need for metrics that can decompose price or quantity changes to reveal underlying drivers and consequences.

We calculate the supply and demand indicies for a number of agricultural markets and time periods. First, consider changes in supply and demand in the fed cattle market since the 1950s, as shown in the figure below. The demand index trended positively from 1950 through the mid 1970s. The demand index peaked at a value of 204 in 1976, and it hasn’t been as high since. Demand fell through the 1980s and early 1990s before rebounding. Since 2010, the demand index has been at values just below the 1970’s peak. The supply index trend was positive from 1950 up till about 2000, but has been stagnant except for the past couple decades. Nonetheless, the 2018 supply index value is the highest of the entire time period since 1950. The figure shows a significant drop in the supply index that began in 2013 and bottomed out in 2015, which is likely a result of drought in the great plains and from high feed prices. The fact that the supply index dropped during this period while the demand index remained relatively flat helps provide insight into the debate discussed in the quote above.

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One can also calculate changes in producer and consumer surplus over time. The following figure calculates the year-to-year changes. On average, from 1980 to 2018, producer surplus increased $2.7 billion each year and consumer surplus increased $0.58 billion each year. Despite these averages, there is a high degree of year-to-year variability. The largest annual change in producer surplus was $34 billion from 2015 to 2016; the largest decline in producer surplus was -$28 billion from 2013 to 2014.

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Here’s how changes in the supply index compare for the three main meat categories. Chicken supply shifts have far outpaced that for hogs or cattle. The 2018 chicken supply index value is 380, meaning chicken supply is (380-100) = 280% higher than in 1980. By contrast, hog and beef supply are only 66% and 28% higher, respectively, than in 1980. These differences are likely explained by differential productivity patterns in these sectors. The rise in hog productivity since 2000 corresponds with a time period over which the industry became increasingly vertically integrated, increasingly mirroring the broiler chicken sector. The much longer biological production lags in beef cattle (which range from two to three years from the time a breeding decision is made until harvest) and less integrated nature of the beef cattle industry help explain the smaller increases in the supply index in this sector as compared to pork and chicken. We also show, in the paper, that these supply indicies correlate in intuitive ways with changes in factors like feed prices, drought, and aggregate U.S. agricultural total factor productivity.

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One of the useful aspects of the supply and demand indicies is that they can be applied for highly disaggregated geographic units. To illustrate, we calculated U.S. county-level supply indicies. Here are the changes in U.S. supply indicies in the past couple years relative to 2000. Perhaps surprisingly, many areas of Ohio, Indiana, and southern Illinois have experienced negative corn supply shocks in 2016-2018 relative to 2000. The expanded geographical area of U.S. corn production (e.g more acres in the Dakotas) over this period helped mitigate national corn market effects of the adverse Eastern Cornbelt supply shocks. Note that corn yields and total production have increased significantly in many of the red counties over time, and this illustrates the importance of calculating a supply index rather than just looking at yield or production. The supply index gives us a feel for how much more (or less) is produced in 2018 relative to what we would have expected if the level of technology, weather, etc. were the same as in the year 2000.

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There is a lot more in the paper.

Senate Hearing on Livestock and Poultry Issues

Yesterday I had the opportunity to testify before the U.S. Senate Committee on Agriculture, Nutrition, and Forestry in a hearing about livestock and poultry. A video of the entire hearing is here. My written testimony is also at the link. For convenience, I’ve also reproduced it below.

Chairman Roberts, Ranking Member Stabenow, and Members of the Committee, thank you for inviting me here today.  I serve as Distinguished Professor and Head of the Agricultural Economics Department at Purdue University, and I will focus my remarks on six economic issues currently facing livestock and poultry industries: global protein demand and trade, mandatory price reporting, competition, labor, animal disease, and the need for innovation.

 Population and income are two key drivers affecting demand for meat and poultry. Slow population growth and concerns about an economic slowdown indicate the potential for depressed meat demand in this country.  Health, environment, and animal welfare criticisms, coupled with emerging plant- and lab-based competitive alternatives, are also significant headwinds. 

 These factors suggest that meat demand growth is largely expected to occur outside the United States.  Having access to consumers in other countries has become increasingly important to the livelihood of U.S. livestock and poultry producers. The U.S. exported about 12% of beef, 22% of pork, and 16% of poultry production last year.  It is in this context that trade agreements are important to help open markets for US producers to allow products to flow to consumers who value them most.

 Some U.S. producers have expressed concerns about the competition from imports, but the U.S. is a net exporter of meat and poultry products, and the types and qualities of meat we import tend to differ from what we export. There have been some calls to renew Mandatory Country of Origin Labeling (MCOOL).  Congress repealed MCOOL for beef and pork in 2015 to avoid more than $1 billion in retaliatory tariffs after a protracted legal battle with other countries before the World Trade Organization.  Our survey and experimental research suggests many consumers indicate they are willing to pay premiums for U.S. meat products; however, research also shows few consumers were aware of actual origin labels when grocery shopping, and analysis of grocery store scanner data did not reveal any significant changes in consumer demand for beef or pork after the implementation of MCOOL.  Meat demand indices indicate, if anything, beef and pork demand has increased after the repeal of MCOOL.  Cattle prices fell shortly after the repeal of MCOOL, but this is largely explained by an increase in cattle inventory that happened to coincide with the labeling policy change.  To the extent consumers are truly willing to pay a premium for U.S. labeled meat that exceeds the costs of tracing and labeling, there remain opportunities for private entities to take advantage of this market opportunity.

 The current authority for Livestock Mandatory Reporting (LMR) is set to expire in 2020.  LMR was designed to improve transparency, facilitate market convergence, and reduce information asymmetries.  Despite these laudable goals, academic research on impacts of LMR is mixed.  Shortly after its initial passage in 1999, surveys of cattle producers suggest expectations about the impacts of LMR may have been overly optimistic.  Some concerns have been expressed that LMR might facilitate rather than curtail anticompetitive behavior among packers.  However, evidence indicates LMR helped facilitate integration of regional markets.  It is important for LMR to continue to modernize and be agile in response to the pace of change in the industry.  One challenge is the dwindling share of cattle and hogs sold in negotiated or cash markets, which typically serve as the base price in formula contracts.  There are significant benefits to formula contracts and more producers are voluntarily choosing this method of marketing over the cash market, but questions remain about the volume of transactions needed in the cash market to facilitate price discovery.  A benefit of LMR is the massive amounts of data provided to economists and industry analysts to help understand these and other market dynamics.   

 Last month, price dynamics following a fire at a packing plant in Western Kansas renewed discussion about packer concentration and potential anti-competitive behavior. Concerns about anti-competitive behavior in general must be evaluated on a case-by-case basis, and details about this particular case are still emerging in light of simultaneous market dynamics that were also at play.  Available evidence to date suggests the observed reduction in cattle prices and the increase in wholesale beef prices following the fire are not inconsistent with a model of competitive outcomes. An unexpected reduction in processing capacity reduces demand for cattle, thereby depressing cattle prices. The need to bring in additional labor to increase Saturday processing and temporarily re-purposing cow plants for steers and heifers involves additional costs that pushed up the price of wholesale beef.  These price dynamics are not surprising and are generally what would be expected from the fundamental workings of supply and demand. 

 In general, a lack of availability of labor at processing facilities and in transportation have proved significant hurdles for the sector.  When processors are unable to secure sufficient workforce to operate facilities at capacity, there is the potential to reduce demand for livestock and poultry, which has much the same price effects witnessed after the Kansas fire.  

 I also urge the committee to pay close attention to emerging animal disease issues. African Swine Fever (ASF) in China has had a decimating impact on their hog herd and has increased their pork prices by almost 50%. The significant disruption to the Chinese hog supply has reverberated through global agricultural markets, reducing demand for U.S. soybeans and inducing substitution toward alternative proteins such as beef and poultry. While U.S. hog producers have been able to increase exports to China as a result of ASF, exports are not what they could have been had China not raised tariffs on pork.  It appears that ASF is spreading beyond China.  My calculations suggest that if an outbreak of ASF similar in relative magnitude to the one in China were to occur here, U.S. pork producers could lose about $7 billion/year and U.S. consumer harm would be at least $2.5 billion/year.  ASF is not the only animal disease concern, and an outbreak of foot mouth disease, discovery of bovine spongiform encephalopathy (BSE), or a return of avian influenza or Newcastle disease could have similar devastating impacts.  Thus, there is a need for additional funding for research to combat foreign animal disease. 

 There is also a need for funding to improve the productivity of the livestock and poultry sectors. Productivity growth is the cornerstone of sustainability.  For example, had we not innovated since 1970, about 11 million more feedlot cattle, 30 million more market hogs, and 7 billion more broilers would have been needed to produce the amount of beef, pork, and chicken U.S. consumers actually enjoyed in 2018.  Innovation and technology saved the extra land, water, and feed that these livestock and poultry would have required, as well as the waste and greenhouse gases that they would have emitted.  Investments in research to improve the productivity of livestock and poultry can improve producer profitability, consumer affordability, and the sustainability for food supply chain. 

The Cost of Slow Growth Chickens

I’ve had a couple previous posts on both the supply of and demand for slower growing chickens. There have been increasing calls for retailers to switch to slower growing breeds (often, older “heritage” breeds), with the presumptive aim to increase animal welfare and taste. The downside is that it is more expensive to produce chicken with these older breeds. The Journal of Agricultural and Resource Economics has now published a paper I co-authored with Nathan Thompson at Purdue University and Shawna Weimer, an assistant professor of poultry science at the University of Maryland on the costs for individual producers switching to slower growing breeds and the market impacts we project would occur if the entire industry did the same. This is an updated and peer-reviewed version of the paper I previously blogged about.

Here is the abstract:

There has been substantial productivity growth in the broiler industry; however, high growth rates might adversely affect animal welfare, resulting in calls for slow-growth breeds. This research shows production costs are 11%–25% per pound higher for slower-growing breeds than for modern breeds, depending on the target endpoint. Breakeven wholesale price premiums needed equate net returns of slow- to fast-growth broilers range from $0.10/lb to $0.36/lb. Annual costs of an industry-wide conversion to slow growth are $450 million for consumers and $3.1 billion for producers. Consumer willingness-to-pay would need to increase 10.8% to offset the producer losses.

Don’t like some of our assumptions? We’ve also created an excel-based tool that allows the user to change assumptions about input and output prices, as well as other model parameters, and see how costs and optimal days of feed change for faster and slower growing breeds. The tool dynamically updates figures like the one below. Try it for yourself!

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