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On Thursday, March 30, Friday March 31, and Monday April 3, Truth on the Market and the International Center for Law and Economics presented a blog symposium — Agricultural and Biotech Mergers: Implications for Antitrust Law and Economics in Innovative Industries — discussing three proposed agricultural/biotech industry mergers awaiting judgment by antitrust authorities around the globe. These proposed mergers — Bayer/Monsanto, Dow/DuPont and ChemChina/Syngenta — present a host of fascinating issues, many of which go to the core of merger enforcement in innovative industries — and antitrust law and economics more broadly.

The big issue for the symposium participants was innovation (as it was for the European Commission, which cleared the Dow/DuPont merger last week, subject to conditions, one of which related to the firms’ R&D activities).

Critics of the mergers, as currently proposed, asserted that the increased concentration arising from the “Big 6” Ag-biotech firms consolidating into the Big 4 could reduce innovation competition by (1) eliminating parallel paths of research and development (Moss); (2) creating highly integrated technology/traits/seeds/chemicals platforms that erect barriers to new entry platforms (Moss); (3) exploiting eventual network effects that may result from the shift towards data-driven agriculture to block new entry in input markets (Lianos); or (4) increasing incentives to refuse to license, impose discriminatory restrictions in technology licensing agreements, or tacitly “agree” not to compete (Moss).

Rather than fixating on horizontal market share, proponents of the mergers argued that innovative industries are often marked by disruptions and that investment in innovation is an important signal of competition (Manne). An evaluation of the overall level of innovation should include not only the additional economies of scale and scope of the merged firms, but also advancements made by more nimble, less risk-averse biotech companies and smaller firms, whose innovations the larger firms can incentivize through licensing or M&A (Shepherd). In fact, increased efficiency created by economies of scale and scope can make funds available to source innovation outside of the large firms (Shepherd).

In addition, innovation analysis must also account for the intricately interwoven nature of agricultural technology across seeds and traits, crop protection, and, now, digital farming (Sykuta). Combined product portfolios generate more data to analyze, resulting in increased data-driven value for farmers and more efficiently targeted R&D resources (Sykuta).

While critics voiced concerns over such platforms erecting barriers to entry, markets are contestable to the extent that incumbents are incentivized to compete (Russell). It is worth noting that certain industries with high barriers to entry or exit, significant sunk costs, and significant costs disadvantages for new entrants (including automobiles, wireless service, and cable networks) have seen their prices decrease substantially relative to inflation over the last 20 years — even as concentration has increased (Russell). Not coincidentally, product innovation in these industries, as in ag-biotech, has been high.

Ultimately, assessing the likely effects of each merger using static measures of market structure is arguably unreliable or irrelevant in dynamic markets with high levels of innovation (Manne).

Regarding patents, critics were skeptical that combining the patent portfolios of the merging companies would offer benefits beyond those arising from cross-licensing, and would serve to raise rivals’ costs (Ghosh). While this may be true in some cases, IP rights are probabilistic, especially in dynamic markets, as Nicolas Petit noted:

There is no certainty that R&D investments will lead to commercially successful applications; (ii) no guarantee that IP rights will resist to invalidity proceedings in court; (iii) little safety to competition by other product applications which do not practice the IP but provide substitute functionality; and (iv) no inevitability that the environmental, toxicological and regulatory authorization rights that (often) accompany IP rights will not be cancelled when legal requirements change.

In spite of these uncertainties, deals such as the pending ag-biotech mergers provide managers the opportunity to evaluate and reorganize assets to maximize innovation and return on investment in such a way that would not be possible absent a merger (Sykuta). Neither party would fully place its IP and innovation pipeline on the table otherwise.

For a complete rundown of the arguments both for and against, the full archive of symposium posts from our outstanding and diverse group of scholars, practitioners and other experts is available at this link, and individual posts can be easily accessed by clicking on the authors’ names below.

We’d like to thank all of the participants for their excellent contributions!

In a recent long-form article in the New York Times, reporter Noam Scheiber set out to detail some of the ways Uber (and similar companies, but mainly Uber) are engaged in “an extraordinary experiment in behavioral science to subtly entice an independent work force to maximize its growth.”

That characterization seems innocuous enough, but it is apparent early on that Scheiber’s aim is not only to inform but also, if not primarily, to deride these efforts. The title of the piece, in fact, sets the tone:

How Uber Uses Psychological Tricks to Push Its Drivers’ Buttons

Uber and its relationship with its drivers are variously described by Scheiber in the piece as secretive, coercive, manipulative, dominating, and exploitative, among other things. As Schreiber describes his article, it sets out to reveal how

even as Uber talks up its determination to treat drivers more humanely, it is engaged in an extraordinary behind-the-scenes experiment in behavioral science to manipulate them in the service of its corporate growth — an effort whose dimensions became evident in interviews with several dozen current and former Uber officials, drivers and social scientists, as well as a review of behavioral research.

What’s so galling about the piece is that, if you strip away the biased and frequently misguided framing, it presents a truly engaging picture of some of the ways that Uber sets about solving a massively complex optimization problem, abetted by significant agency costs.

So I did. Strip away the detritus, add essential (but omitted) context, and edit the article to fix the anti-Uber bias, the one-sided presentation, the mischaracterizations, and the fundamentally non-economic presentation of what is, at its core, a fascinating illustration of some basic problems (and solutions) from industrial organization economics. (For what it’s worth, Scheiber should know better. After all, “He holds a master’s degree in economics from the University of Oxford, where he was a Rhodes Scholar, and undergraduate degrees in math and economics from Tulane University.”)

In my retelling, the title becomes:

How Uber Uses Innovative Management Tactics to Incentivize Its Drivers

My transformed version of the piece, with critical commentary in the form of tracked changes to the original, is here (pdf).

It’s a long (and, as I said, fundamentally interesting) piece, with cool interactive graphics, well worth the read (well, at least in my retelling, IMHO). Below is just a taste of the edits and commentary I added.

For example, where Scheiber writes:

Uber exists in a kind of legal and ethical purgatory, however. Because its drivers are independent contractors, they lack most of the protections associated with employment. By mastering their workers’ mental circuitry, Uber and the like may be taking the economy back toward a pre-New Deal era when businesses had enormous power over workers and few checks on their ability to exploit it.

With my commentary (here integrated into final form rather than tracked), that paragraph becomes:

Uber operates under a different set of legal constraints, however, also duly enacted and under which millions of workers have profitably worked for decades. Because its drivers are independent contractors, they receive their compensation largely in dollars rather than government-mandated “benefits” that remove some of the voluntariness from employer/worker relationships. And, in the case of overtime pay, for example, the Uber business model that is built in part on offering flexible incentives to match supply and demand using prices and compensation, would be next to impossible. It is precisely through appealing to drivers’ self-interest that Uber and the like may be moving the economy forward to a new era when businesses and workers have more flexibility, much to the benefit of all.

Elsewhere, Scheiber’s bias is a bit more subtle, but no less real. Thus, he writes:

As he tried to log off at 7:13 a.m. on New Year’s Day last year, Josh Streeter, then an Uber driver in the Tampa, Fla., area, received a message on the company’s driver app with the headline “Make it to $330.” The text then explained: “You’re $10 away from making $330 in net earnings. Are you sure you want to go offline?” Below were two prompts: “Go offline” and “Keep driving.” The latter was already highlighted.

With my edits and commentary, that paragraph becomes:

As he started the process of logging off at 7:13 a.m. on New Year’s Day last year, Josh Streeter, then an Uber driver in the Tampa, Fla., area, received a message on the company’s driver app with the headline “Make it to $330.” The text then explained: “You’re $10 away from making $330 in net earnings. Are you sure you want to go offline?” Below were two prompts: “Go offline” and “Keep driving.” The latter was already highlighted, but the former was listed first. It’s anyone’s guess whether either characteristic — placement or coloring — had any effect on drivers’ likelihood of clicking one button or the other.

And one last example. Scheiber writes:

Consider an algorithm called forward dispatch — Lyft has a similar one — that dispatches a new ride to a driver before the current one ends. Forward dispatch shortens waiting times for passengers, who may no longer have to wait for a driver 10 minutes away when a second driver is dropping off a passenger two minutes away.

Perhaps no less important, forward dispatch causes drivers to stay on the road substantially longer during busy periods — a key goal for both companies.

Uber and Lyft explain this in essentially the same way. “Drivers keep telling us the worst thing is when they’re idle for a long time,” said Kevin Fan, the director of product at Lyft. “If it’s slow, they’re going to go sign off. We want to make sure they’re constantly busy.”

While this is unquestionably true, there is another way to think of the logic of forward dispatch: It overrides self-control.

* * *

Uber officials say the feature initially produced so many rides at times that drivers began to experience a chronic Netflix ailment — the inability to stop for a bathroom break. Amid the uproar, Uber introduced a pause button.

“Drivers were saying: ‘I can never go offline. I’m on just continuous trips. This is a problem.’ So we redesigned it,” said Maya Choksi, a senior Uber official in charge of building products that help drivers. “In the middle of the trip, you can say, ‘Stop giving me requests.’ So you can have more control over when you want to stop driving.”

It is true that drivers can pause the services’ automatic queuing feature if they need to refill their tanks, or empty them, as the case may be. Yet once they log back in and accept their next ride, the feature kicks in again. To disable it, they would have to pause it every time they picked up a new passenger. By contrast, even Netflix allows users to permanently turn off its automatic queuing feature, known as Post-Play.

This pre-emptive hard-wiring can have a huge influence on behavior, said David Laibson, the chairman of the economics department at Harvard and a leading behavioral economist. Perhaps most notably, as Ms. Rosenblat and Luke Stark observed in an influential paper on these practices, Uber’s app does not let drivers see where a passenger is going before accepting the ride, making it hard to judge how profitable a trip will be.

Here’s how I would recast that, and add some much-needed economics:

Consider an algorithm called forward dispatch — Lyft has a similar one — that dispatches a new ride to a driver before the current one ends. Forward dispatch shortens waiting times for passengers, who may no longer have to wait for a driver 10 minutes away when a second driver is dropping off a passenger two minutes away.

Perhaps no less important, forward dispatch causes drivers to stay on the road substantially longer during busy periods — a key goal for both companies — by giving them more income-earning opportunities.

Uber and Lyft explain this in essentially the same way. “Drivers keep telling us the worst thing is when they’re idle for a long time,” said Kevin Fan, the director of product at Lyft. “If it’s slow, they’re going to go sign off. We want to make sure they’re constantly busy.”

While this is unquestionably true, and seems like another win-win, some critics have tried to paint even this means of satisfying both driver and consumer preferences in a negative light by claiming that the forward dispatch algorithm overrides self-control.

* * *

Uber officials say the feature initially produced so many rides at times that drivers began to experience a chronic Netflix ailment — the inability to stop for a bathroom break. Amid the uproar, Uber introduced a pause button.

“Drivers were saying: ‘I can never go offline. I’m on just continuous trips. This is a problem.’ So we redesigned it,” said Maya Choksi, a senior Uber official in charge of building products that help drivers. “In the middle of the trip, you can say, ‘Stop giving me requests.’ So you can have more control over when you want to stop driving.”

Tweaks like these put paid to the arguments that Uber is simply trying to abuse its drivers. And yet, critics continue to make such claims:

It is true that drivers can pause the services’ automatic queuing feature if they need to refill their tanks, or empty them, as the case may be. Yet once they log back in and accept their next ride, the feature kicks in again. To disable it, they would have to pause it every time they picked up a new passenger. By contrast, even Netflix allows users to permanently turn off its automatic queuing feature, known as Post-Play.

It’s difficult to take seriously claims that Uber “abuses” drivers by setting a default that drivers almost certainly prefer; surely drivers seek out another fare following the last fare more often than they seek out another bathroom break. In any case, the difference between one default and the other is a small change in the number of times drivers might have to push a single button; hardly a huge impediment.

But such claims persist, nevertheless. Setting a trivially different default can have a huge influence on behavior, claims David Laibson, the chairman of the economics department at Harvard and a leading behavioral economist. Perhaps most notably — and to change the subject — as Ms. Rosenblat and Luke Stark observed in an influential paper on these practices, Uber’s app does not let drivers see where a passenger is going before accepting the ride, making it hard to judge how profitable a trip will be. But there are any number of defenses of this practice, from both a driver- and consumer-welfare standpoint. Not least, such disclosure could well create isolated scarcity for a huge range of individual ride requests (as opposed to the general scarcity during a “surge”), leading to longer wait times, the need to adjust prices for consumers on the basis of individual rides, and more intense competition among drivers for the most profitable rides. Given these and other explanations, it is extremely unlikely that the practice is actually aimed at “abusing” drivers.

As they say, read the whole thing!

Geoffrey A. Manne is Executive Director of the International Center for Law & Economics

Dynamic versus static competition

Ever since David Teece and coauthors began writing about antitrust and innovation in high-tech industries in the 1980s, we’ve understood that traditional, price-based antitrust analysis is not intrinsically well-suited for assessing merger policy in these markets.

For high-tech industries, performance, not price, is paramount — which means that innovation is key:

Competition in some markets may take the form of Schumpeterian rivalry in which a succession of temporary monopolists displace one another through innovation. At any one time, there is little or no head-to-head price competition but there is significant ongoing innovation competition.

Innovative industries are often marked by frequent disruptions or “paradigm shifts” rather than horizontal market share contests, and investment in innovation is an important signal of competition. And competition comes from the continual threat of new entry down the road — often from competitors who, though they may start with relatively small market shares, or may arise in different markets entirely, can rapidly and unexpectedly overtake incumbents.

Which, of course, doesn’t mean that current competition and ease of entry are irrelevant. Rather, because, as Joanna Shepherd noted, innovation should be assessed across the entire industry and not solely within merging firms, conduct that might impede new, disruptive, innovative entry is indeed relevant.

But it is also important to remember that innovation comes from within incumbent firms, as well, and, often, that the overall level of innovation in an industry may be increased by the presence of large firms with economies of scope and scale.

In sum, and to paraphrase Olympia Dukakis’ character in Moonstruck: “what [we] don’t know about [the relationship between innovation and market structure] is a lot.”

What we do know, however, is that superficial, concentration-based approaches to antitrust analysis will likely overweight presumed foreclosure effects and underweight innovation effects.

We shouldn’t fetishize entry, or access, or head-to-head competition over innovation, especially where consumer welfare may be significantly improved by a reduction in the former in order to get more of the latter.

As Katz and Shelanski note:

To assess fully the impact of a merger on market performance, merger authorities and courts must examine how a proposed transaction changes market participants’ incentives and abilities to undertake investments in innovation.

At the same time, they point out that

Innovation can dramatically affect the relationship between the pre-merger marketplace and what is likely to happen if the proposed merger is consummated…. [This requires consideration of] how innovation will affect the evolution of market structure and competition. Innovation is a force that could make static measures of market structure unreliable or irrelevant, and the effects of innovation may be highly relevant to whether a merger should be challenged and to the kind of remedy antitrust authorities choose to adopt. (Emphasis added).

Dynamic competition in the ag-biotech industry

These dynamics seem to be playing out in the ag-biotech industry. (For a detailed look at how the specific characteristics of innovation in the ag-biotech industry have shaped industry structure, see, e.g., here (pdf)).  

One inconvenient truth for the “concentration reduces innovation” crowd is that, as the industry has experienced more consolidation, it has also become more, not less, productive and innovative. Between 1995 and 2015, for example, the market share of the largest seed producers and crop protection firms increased substantially. And yet, over the same period, annual industry R&D spending went up nearly 750 percent. Meanwhile, the resulting innovations have increased crop yields by 22%, reduced chemical pesticide use by 37%, and increased farmer profits by 68%.

In her discussion of the importance of considering the “innovation ecosystem” in assessing the innovation effects of mergers in R&D-intensive industries, Joanna Shepherd noted that

In many consolidated firms, increases in efficiency and streamlining of operations free up money and resources to source external innovation. To improve their future revenue streams and market share, consolidated firms can be expected to use at least some of the extra resources to acquire external innovation. This increase in demand for externally-sourced innovation increases the prices paid for external assets, which, in turn, incentivizes more early-stage innovation in small firms and biotech companies. Aggregate innovation increases in the process!

The same dynamic seems to play out in the ag-biotech industry, as well:

The seed-biotechnology industry has been reliant on small and medium-sized enterprises (SMEs) as sources of new innovation. New SME startups (often spinoffs from university research) tend to specialize in commercial development of a new research tool, genetic trait, or both. Significant entry by SMEs into the seed-biotechnology sector began in the late 1970s and early 1980s, with a second wave of new entrants in the late 1990s and early 2000s. In recent years, exits have outnumbered entrants, and by 2008 just over 30 SMEs specializing in crop biotechnology were still active. The majority of the exits from the industry were the result of acquisition by larger firms. Of 27 crop biotechnology SMEs that were acquired between 1985 and 2009, 20 were acquired either directly by one of the Big 6 or by a company that itself was eventually acquired by a Big 6 company.

While there is more than one way to interpret these statistics (and they are often used by merger opponents, in fact, to lament increasing concentration), they are actually at least as consistent with an increase in innovation through collaboration (and acquisition) as with a decrease.

For what it’s worth, this is exactly how the startup community views the innovation ecosystem in the ag-biotech industry, as well. As the latest AgFunder AgTech Investing Report states:

The large agribusinesses understand that new innovation is key to their future, but the lack of M&A [by the largest agribusiness firms in 2016] highlighted their uncertainty about how to approach it. They will need to make more acquisitions to ensure entrepreneurs keep innovating and VCs keep investing.

It’s also true, as Diana Moss notes, that

Competition maximizes the potential for numerous collaborations. It also minimizes incentives to refuse to license, to impose discriminatory restrictions in technology licensing agreements, or to tacitly “agree” not to compete…. All of this points to the importance of maintaining multiple, parallel R&D pipelines, a notion that was central to the EU’s decision in Dow-DuPont.

And yet collaboration and licensing have long been prevalent in this industry. Examples are legion, but here are just a few significant ones:

  • Monsanto’s “global licensing agreement for the use of the CRISPR-Cas genome-editing technology in agriculture with the Broad Institute of MIT and Harvard.”
  • Dow and Arcadia Biosciences’ “strategic collaboration to develop and commercialize new breakthrough yield traits and trait stacks in corn.”
  • Monsanto and the University of Nebraska-Lincoln’s “licensing agreement to develop crops tolerant to the broadleaf herbicide dicamba. This agreement is based on discoveries by UNL plant scientists.”

Both large and small firms in the ag-biotech industry continually enter into new agreements like these. See, e.g., here and here for a (surely incomplete) list of deals in 2016 alone.

At the same time, across the industry, new entry has been rampant despite increased M&A activity among the largest firms. Recent years have seen venture financing in AgTech skyrocket — from $400 million in 2010 to almost $5 billion in 2015 — and hundreds of startups now enter the industry annually.

The pending mergers

Today’s pending mergers are consistent with this characterization of a dynamic market in which structure is being driven by incentives to innovate, rather than monopolize. As Michael Sykuta points out,

The US agriculture sector has been experiencing consolidation at all levels for decades, even as the global ag economy has been growing and becoming more diverse. Much of this consolidation has been driven by technological changes that created economies of scale, both at the farm level and beyond.

These deals aren’t fundamentally about growing production capacity, expanding geographic reach, or otherwise enhancing market share; rather, each is a fundamental restructuring of the way the companies do business, reflecting today’s shifting agricultural markets, and the advanced technology needed to respond to them.

Technological innovation is unpredictable, often serendipitous, and frequently transformative of the ways firms organize and conduct their businesses. A company formed to grow and sell hybrid seeds in the 1920s, for example, would either have had to evolve or fold by the end of the century. Firms today will need to develop (or purchase) new capabilities and adapt to changing technology, scientific knowledge, consumer demand, and socio-political forces. The pending mergers seemingly fit exactly this mold.

As Allen Gibby notes, these mergers are essentially vertical combinations of disparate, specialized pieces of an integrated whole. Take the proposed Bayer/Monsanto merger, for example. Bayer is primarily a chemicals company, developing advanced chemicals to protect crops and enhance crop growth. Monsanto, on the other hand, primarily develops seeds and “seed traits” — advanced characteristics that ensure the heartiness of the seeds, give them resistance to herbicides and pesticides, and speed their fertilization and growth. In order to translate the individual advances of each into higher yields, it is important that these two functions work successfully together. Doing so enhances crop growth and protection far beyond what, say, spreading manure can accomplish — or either firm could accomplish working on its own.

The key is that integrated knowledge is essential to making this process function. Developing seed traits to work well with (i.e., to withstand) certain pesticides requires deep knowledge of the pesticide’s chemical characteristics, and vice-versa. Processing huge amounts of data to determine when to apply chemical treatments or to predict a disease requires not only that the right information is collected, at the right time, but also that it is analyzed in light of the unique characteristics of the seeds and chemicals. Increased communications and data-sharing between manufacturers increases the likelihood that farmers will use the best products available in the right quantity and at the right time in each field.

Vertical integration solves bargaining and long-term planning problems by unifying the interests (and the management) of these functions. Instead of arm’s length negotiation, a merged Bayer/Monsanto, for example, may better maximize R&D of complicated Ag/chem products through fully integrated departments and merged areas of expertise. A merged company can also coordinate investment decisions (instead of waiting up to 10 years to see what the other company produces), avoid duplication of research, adapt to changing conditions (and the unanticipated course of research), pool intellectual property, and bolster internal scientific capability more efficiently. All told, the merged company projects spending about $16 billion on R&D over the next six years. Such coordinated investment will likely garner far more than either company could from separately spending even the same amount to develop new products. 

Controlling an entire R&D process and pipeline of traits for resistance, chemical treatments, seeds, and digital complements would enable the merged firm to better ensure that each of these products works together to maximize crop yields, at the lowest cost, and at greater speed. Consider the advantages that Apple’s tightly-knit ecosystem of software and hardware provides to computer and device users. Such tight integration isn’t the only way to compete (think Android), but it has frequently proven to be a successful model, facilitating some functions (e.g., handoff between Macs and iPhones) that are difficult if not impossible in less-integrated systems. And, it bears noting, important elements of Apple’s innovation have come through acquisition….


As LaFontaine and Slade have made clear, theoretical concerns about the anticompetitive consequences of vertical integrations are belied by the virtual absence of empirical support:

Under most circumstances, profit–maximizing vertical–integration and merger decisions are efficient, not just from the firms’ but also from the consumers’ points of view.

Other antitrust scholars are skeptical of vertical-integration fears because firms normally have strong incentives to deal with providers of complementary products. Bayer and Monsanto, for example, might benefit enormously from integration, but if competing seed producers seek out Bayer’s chemicals to develop competing products, there’s little reason for the merged firm to withhold them: Even if the new seeds out-compete Monsanto’s, Bayer/Monsanto can still profit from providing the crucial input. Its incentive doesn’t necessarily change if the merger goes through, and whatever “power” Bayer has as an input is a function of its scientific know-how, not its merger with Monsanto.

In other words, while some competitors could find a less hospitable business environment, consumers will likely suffer no apparent ill effects, and continue to receive the benefits of enhanced product development and increased productivity.

That’s what we’d expect from innovation-driven integration, and antitrust enforcers should be extremely careful before thwarting or circumscribing these mergers lest they end up thwarting, rather than promoting, consumer welfare.

Nicolas Petit is Professor of Law at the University of Liege (Belgium) and Research Professor at the University of South Australia (UniSA)

This symposium offers a good opportunity to look again into the complex relation between concentration and innovation in antitrust policy. Whilst the details of the EC decision in Dow/Dupont remain unknown, the press release suggests that the issue of “incentives to innovate” was central to the review. Contrary to what had leaked in the antitrust press, the decision has apparently backed off from the introduction of a new “model”, and instead followed a more cautious approach. After a quick reminder of the conventional “appropriability v cannibalizationframework that drives merger analysis in innovation markets (1), I make two sets of hopefully innovative remarks on appropriability and IP rights (2) and on cannibalization in the ag-biotech sector (3).

Appropriability versus cannibalization

Antitrust economics 101 teach that mergers affect innovation incentives in two polar ways. A merger may increase innovation incentives. This occurs when the increment in power over price or output achieved through merger enhances the appropriability of the social returns to R&D. The appropriability effect of mergers is often tied to Joseph Schumpeter, who observed that the use of “protecting devices” for past investments like patent protection or trade secrecy constituted a “normal elemen[t] of rational management”. The appropriability effect can in principle be observed at firm – specific incentives – and industry – general incentives – levels, because actual or potential competitors can also use the M&A market to appropriate the payoffs of R&D investments.

But a merger may decrease innovation incentives. This happens when the increased industry position achieved through merger discourages the introduction of new products, processes or services. This is because an invention will cannibalize the merged entity profits in proportions larger as would be the case in a more competitive market structure. This idea is often tied to Kenneth Arrow who famously observed that a “preinvention monopoly power acts as a strong disincentive to further innovation”.

Schumpeter’s appropriability hypothesis and Arrow’s cannibalization theory continue to drive much of the discussion on concentration and innovation in antitrust economics. True, many efforts have been made to overcome, reconcile or bypass both views of the world. Recent studies by Carl Shapiro or Jon Baker are worth mentioning. But Schumpeter and Arrow remain sticky references in any discussion of the issue. Perhaps more than anything, the persistence of their ideas denotes that both touched a bottom point when they made their seminal contribution, laying down two systems of belief on the workings of innovation-driven markets.

Now beyond the theory, the appropriability v cannibalization gravitational models provide from the outset an appealing framework for the examination of mergers in R&D driven industries in general. From an operational perspective, the antitrust agency will attempt to understand if the transaction increases appropriability – which leans in favour of clearance – or cannibalization – which leans in favour of remediation. At the same time, however, the downside of the appropriability v cannibalization framework (and of any framework more generally) may be to oversimplify our understanding of complex phenomena. This, in turn, prompts two important observations on each branch of the framework.

Appropriability and IP rights

Any antitrust agency committed to promoting competition and innovation should consider mergers in light of the degree of appropriability afforded by existing protecting devices (essentially contracts and entitlements). This is where Intellectual Property (“IP”) rights become relevant to the discussion. In an industry with strong IP rights, the merging parties (and its rivals) may be able to appropriate the social returns to R&D without further corporate concentration. Put differently, the stronger the IP rights, the lower the incremental contribution of a merger transaction to innovation, and the higher the case for remediation.

This latter proposition, however, rests on a heavy assumption: that IP rights confer perfect appropriability. The point is, however, far from obvious. Most of us know that – and our antitrust agencies’ misgivings with other sectors confirm it – IP rights are probabilistic in nature. There is (i) no certainty that R&D investments will lead to commercially successful applications; (ii) no guarantee that IP rights will resist to invalidity proceedings in court; (iii) little safety to competition by other product applications which do not practice the IP but provide substitute functionality; and (iv) no inevitability that the environmental, toxicological and regulatory authorization rights that (often) accompany IP rights will not be cancelled when legal requirements change. Arrow himself called for caution, noting that “Patent laws would have to be unimaginably complex and subtle to permit [such] appropriation on a large scale”. A thorough inquiry into the specific industry-strength of IP rights that goes beyond patent data and statistics thus constitutes a necessary step in merger review.

But it is not a sufficient one. The proposition that strong IP rights provide appropriability is essentially valid if the observed pre-merger market situation is one where several IP owners compete on differentiated products and as a result wield a degree of market power. In contrast, the proposition is essentially invalid if the observed pre-merger market situation leans more towards the competitive equilibrium and IP owners compete at prices closer to costs. In both variants, the agency should thus look carefully at the level and evolution of prices and costs, including R&D ones, in the pre-merger industry. Moreover, in the second variant, the agency ought to consider as a favourable appropriability factor any increase of the merging entity’s power over price, but also any improvement of its power over cost. By this, I have in mind efficiency benefits, which can arise as the result of economies of scale (in manufacturing but also in R&D), but also when the transaction combines complementary technological and marketing assets. In Dow/Dupont, no efficiency argument has apparently been made by the parties, so it is difficult to understand if and how such issues have played a role in the Commission’s assessment.

Cannibalization, technological change, and drastic innovation

Arrow’s cannibalization theory – namely that a pre-invention monopoly acts as a strong disincentive to further innovation – fails to capture that successful inventions create new technology frontiers, and with them entirely novel needs that even a monopolist has an incentive to serve. This can be understood with an example taken from the ag-biotech field. It is undisputed that progress in crop protection science has led to an expanding range of resistant insects, weeds, and pathogens. This, in turn, is one (if not the main) key drivers of ag-tech research. In a 2017 paper published in Pest Management Science, Sparks and Lorsbach observe that:

resistance to agrochemicals is an ongoing driver for the development of new chemical control options, along with an increased emphasis on resistance management and how these new tools can fit into resistance management programs. Because resistance is such a key driver for the development of new agrochemicals, a highly prized attribute for a new agrochemical is a new MoA [method of action] that is ideally a new molecular target either in an existing target site (e.g., an unexploited binding site in the voltage-gated sodium channel), or new/under-utilized target site such as calcium channels.

This, and other factors, leads them to conclude that:

even with fewer companies overall involved in agrochemical discovery, innovation continues, as demonstrated by the continued introduction of new classes of agrochemicals with new MoAs.

Sparks, Hahn, and Garizi make a similar point. They stress in particular that the discovery of natural products (NPs) which are the “output of nature’s chemical laboratory” is today a main driver of crop protection research. According to them:

NPs provide very significant value in identifying new MoAs, with 60% of all agrochemical MoAs being, or could have been, defined by a NP. This information again points to the importance of NPs in agrochemical discovery, since new MoAs remain a top priority for new agrochemicals.

More generally, the point is not that Arrow’s cannibalization theory is wrong. Arrow’s work convincingly explains monopolists’ low incentives to invest in substitute invention. Instead, the point is that Arrow’s cannibalization theory is narrower than often assumed in the antitrust policy literature. Admittedly, Arrow’s cannibalization theory is relevant in industries primarily driven by a process of cumulative innovation. But it is much less helpful to understand the incentives of a monopolist in industries subject to technological change. As a result of this, the first question that should guide an antitrust agency investigation is empirical in nature: is the industry under consideration one driven by cumulative innovation, or one where technology disruption, shocks, and serendipity incentivize drastic innovation?

Note that exogenous factors beyond technological frontiers also promote drastic innovation. This point ought not to be overlooked. A sizeable amount of the specialist scientific literature stresses the powerful innovation incentives created by changing dietary habits, new diseases (e.g. the Zika virus), global population growth, and environmental challenges like climate change and weather extremes. In 2015, Jeschke noted:

In spite of the significant consolidation of the agrochemical companies, modern agricultural chemistry is vital and will have the opportunity to shape the future of agriculture by continuing to deliver further innovative integrated solutions. 

Words of wisdom caution for antitrust agencies tasked with the complex mission of reviewing mergers in the ag-biotech industry?

Michael Sykuta is Associate Professor, Agricultural and Applied Economics, and Director, Contracting Organizations Research Institute at the University of Missouri.

The US agriculture sector has been experiencing consolidation at all levels for decades, even as the global ag economy has been growing and becoming more diverse. Much of this consolidation has been driven by technological changes that created economies of scale, both at the farm level and beyond.

Likewise, the role of technology has changed the face of agriculture, particularly in the past 20 years since the commercial introduction of the first genetically modified (GMO) crops. However, biotechnology itself comprises only a portion of the technology change. The development of global positioning systems (GPS) and GPS-enabled equipment have created new opportunities for precision agriculture, whether for the application of crop inputs, crop management, or yield monitoring. The development of unmanned and autonomous vehicles and remote sensing technologies, particularly unmanned aerial vehicles (i.e. UAVs, or “drones”), have created new opportunities for field scouting, crop monitoring, and real-time field management. And currently, the development of Big Data analytics is promising to combine all of the different types of data associated with agricultural production in ways intended to improve the application of all the various technologies and to guide production decisions.

Now, with the pending mergers of several major agricultural input and life sciences companies, regulators are faced with a challenge: How to evaluate the competitive effects of such mergers in the face of such a complex and dynamic technology environment—particularly when these technologies are not independent of one another? What is the relevant market for considering competitive effects and what are the implications for technology development? And how does the nature of the technology itself implicate the economic efficiencies underlying these mergers?

Before going too far, it is important to note that while the three cases currently under review (i.e., ChemChina/Syngenta, Dow/DuPont, and Bayer/Monsanto) are frequently lumped together in discussions, the three present rather different competitive cases—particularly within the US. For instance, ChemChina’s acquisition of Syngenta will not, in itself, meaningfully change market concentration. However, financial backing from ChemChina may allow Syngenta to buy up the discards from other deals, such as the parts of DuPont that the EU Commission is requiring to be divested or the seed assets Bayer is reportedly looking to sell to preempt regulatory concerns, as well as other smaller competitors.

Dow-DuPont is perhaps the most head-to-head of the three mergers in terms of R&D and product lines. Both firms are in the top five in the US for pesticide manufacturing and for seeds. However, the Dow-DuPont merger is about much more than combining agricultural businesses. The Dow-DuPont deal specifically aims to create and spin-off three different companies specializing in agriculture, material science, and specialty products. Although agriculture may be the business line in which the companies most overlap, it represents just over 21% of the combined businesses’ annual revenues.

Bayer-Monsanto is yet a different sort of pairing. While both companies are among the top five in US pesticide manufacturing (with combined sales less than Syngenta and about equal to Dow without DuPont), Bayer is a relatively minor player in the seed industry. Likewise, Monsanto is focused almost exclusively on crop production and digital farming technologies, offering little overlap to Bayer’s human health or animal nutrition businesses.

Despite the differences in these deals, they tend to be lumped together and discussed almost exclusively in the context of pesticide manufacturing or crop protection more generally. In so doing, the discussion misses some important aspects of these deals that may mitigate traditional competitive concerns within the pesticide industry.

Mergers as the Key to Unlocking Innovation and Value

First, as the Dow-DuPont merger suggests, mergers may be the least-cost way of (re)organizing assets in ways that maximize value. This is especially true for R&D-intensive industries where intellectual property and innovation are at the core of competitive advantage. Absent the protection of common ownership, neither party would have an incentive to fully disclose the nature of its IP and innovation pipeline. In this case, merging interests increases the efficiency of information sharing so that managers can effectively evaluate and reorganize assets in ways that maximize innovation and return on investment.

Dow and DuPont each have a wide range of areas of application. Both groups of managers recognize that each of their business lines would be stronger as focused, independent entities; but also recognize that the individual elements of their portfolios would be stronger if combined with those of the other company. While the EU Commission argues that Dow-DuPont would reduce the incentive to innovate in the pesticide industry—a dubious claim in itself—the commission seems to ignore the potential increases in efficiency, innovation and ability to serve customer interests across all three of the proposed new businesses. At a minimum, gains in those industries should be weighed against any alleged losses in the agriculture industry.

This is not the first such agricultural and life sciences “reorganization through merger”. The current manifestation of Monsanto is the spin-off of a previous merger between Monsanto and Pharmacia & Upjohn in 2000 that created today’s Pharmacia. At the time of the Pharmacia transaction, Monsanto had portfolios in agricultural products, chemicals, and pharmaceuticals. After reorganizing assets within Pharmacia, three business lines were created: agricultural products (the current Monsanto), pharmaceuticals (now Pharmacia, a subsidiary of Pfizer), and chemicals (now Solutia, a subsidiary of Eastman Chemical Co.). Merging interests allowed Monsanto and Pharmacia & Upjohn to create more focused business lines that were better positioned to pursue innovations and serve customers in their respective industries.

In essence, Dow-DuPont is following the same playbook. Although such intentions have not been announced, Bayer’s broad product portfolio suggests a similar long-term play with Monsanto is likely.

Interconnected Technologies, Innovation, and the Margins of Competition

As noted above, regulatory scrutiny of these three mergers focuses on them in the context of pesticide or agricultural chemical manufacturing. However, innovation in the ag chemicals industry is intricately interwoven with developments in other areas of agricultural technology that have rather different competition and innovation dynamics. The current technological wave in agriculture involves the use of Big Data to create value using the myriad data now available through GPS-enabled precision farming equipment. Monsanto and DuPont, through its Pioneer subsidiary, are both players in this developing space, sometimes referred to as “digital farming”.

Digital farming services are intended to assist farmers’ production decision making and increase farm productivity. Using GPS-coded field maps that include assessments of soil conditions, combined with climate data for the particular field, farm input companies can recommend the types of rates of applications for soil conditioning pre-harvest, seed types for planting, and crop protection products during the growing season. Yield monitors at harvest provide outcomes data for feedback to refine and improve the algorithms that are used in subsequent growing seasons.

The integration of digital farming services with seed and chemical manufacturing offers obvious economic benefits for farmers and competitive benefits for service providers. Input manufacturers have incentive to conduct data analytics that individual farmers do not. Farmers have limited analytic resources and relatively small returns to investing in such resources, while input manufacturers have broad market potential for their analytic services. Moreover, by combining data from a broad cross-section of farms, digital farming service companies have access to the data necessary to identify generalizable correlations between farm plot characteristics, input use, and yield rates.

But the value of the information developed through these analytics is not unidirectional in its application and value creation. While input manufacturers may be able to help improve farmers’ operations given the current stock of products, feedback about crop traits and performance also enhances R&D for new product development by identifying potential product attributes with greater market potential. By combining product portfolios, agricultural companies can not only increase the value of their data-driven services for farmers, but more efficiently target R&D resources to their highest potential use.

The synergy between input manufacturing and digital farming notwithstanding, seed and chemical input companies are not the only players in the digital farming space. Equipment manufacturer John Deere was an early entrant in exploiting the information value of data collected by sensors on its equipment. Other remote sensing technology companies have incentive to develop data analytic tools to create value for their data-generating products. Even downstream companies, like ADM, have expressed interest in investing in digital farming assets that might provide new revenue streams with their farmer-suppliers as well as facilitate more efficient specialty crop and identity-preserved commodity-based value chains.

The development of digital farming is still in its early stages and is far from a sure bet for any particular player. Even Monsanto has pulled back from its initial foray into prescriptive digital farming (call FieldScripts). These competitive forces will affect the dynamics of competition at all stages of farm production, including seed and chemicals. Failure to account for those dynamics, and the potential competitive benefits input manufacturers may provide, could lead regulators to overestimate any concerns of competitive harm from the proposed mergers.


Farmers are concerned about the effects of these big-name tie-ups. Farmers may be rightly concerned, but for the wrong reasons. Ultimately, the role of the farmer continues to be diminished in the agricultural value chain. As precision agriculture tools and Big Data analytics reduce the value of idiosyncratic or tacit knowledge at the farm level, the managerial human capital of farmers becomes relatively less important in terms of value-added. It would be unwise to confuse farmers’ concerns regarding the competitive effects of the kinds of mergers we’re seeing now with the actual drivers of change in the agricultural value chain.

Levi A. Russell is Assistant Professor, Agricultural & Applied Economics, University of Georgia and a blogger at Farmer Hayek.

Though concentration seems to be an increasingly popular metric for discussing antitrust policy (a backward move in my opinion, given the theoretical work by Harold Demsetz and others many years ago in this area), contestability is still the standard for evaluating antitrust issues from an economic standpoint. Contestability theory, most closely associated with William Baumol, rests on three primary principles. A market is perfectly contestable if 1) new entrants are not at a cost disadvantage to incumbents, 2) there are no barriers to entry or exit, and 3) there are no sunk costs. In this post, I discuss these conditions in relation to recent mergers and acquisitions in the agricultural chemical and biotech industry.

Contestability is rightly understood as a spectrum. While no industry is perfectly contestable, we expect that markets in which barriers to entry or exit are low, sunk costs are low, and new entrants can easily produce at similar cost to incumbents would be more innovative and that prices would be closer to marginal costs than in other industries. Certainly the agricultural chemical and biotech space does not appear to be very contestable, given the conditions above. There are significant R&D costs associated with the creation of new chemistries and new seed traits. The production and distribution of these products are likely to be characterized by significant economies of scale. Thus, the three conditions listed above are not met, and indeed the industry seems to be characterized by very low contestability. We would expect, then, that these mergers and acquisitions would drive up the prices of the companies’ products, leading to higher monopoly profits. Indeed, one study conducted at Texas A&M University finds that, as a result of the Bayer-Monsanto acquisition and DuPont/Pioneer merger with Dow, corn, soybean, and cotton prices will rise by an estimated 2.3%, 1.9%, and 18.2%, respectively.

These estimates are certainly concerning, especially given the current state of the agricultural economy. As the authors of the Texas A&M study point out, these estimates provide a justification for antitrust authorities to examine the merger and acquisition cases further. However, our dependence on the contestability concept as it pertains to the real world should also be scrutinized. To do so, we can examine other industries in which, according to the standard model of contestability, we would expect to find high barriers to entry or exit, significant sunk costs, and significant cost disadvantages for incumbents.

This chart, assembled by the American Enterprise Institute using data from the Bureau of Labor Statistics, shows the changes in prices of several consumer goods and services from 1996 to 2016, compared with CPI inflation. Industries in which there are high barriers to entry or exit, significant sunk costs, and significant cost disadvantages for new entrants such as automobiles, wireless service, and TVs have seen their prices plummet relative to inflation over the 20 year period. There has also been significant product innovation in these industries over the time period.

Disallowing mergers or acquisitions that will create synergies that lead to further innovation or lower cost is not an improvement in economic efficiency. The transgenic seeds created by some of these companies have allowed farmers to use less-toxic pesticides, providing both private and public benefits. Thus, the higher prices projected by the A&M study might be justified on efficiency grounds. The R&D performed by these firms has led to new pesticide chemistries that have allowed farmers to deal with changes in the behavior of insect populations and will likely allow them to handle issues of pesticide resistance in plants and insects in the future.

What does the empirical evidence on trends in prices and the value of these agricultural firms’ innovations described above imply about contestability and its relation to antitrust enforcement? Contestability should be understood not as a static concept, but as a dynamic one. Competition, more broadly, is the constant striving to outdo competitors and to capture economic profit, not a set of conditions used to analyze a market via a snapshot in time. A proper understanding of competition as a dynamic concept leads us to the following conclusion: for a market to be contestable such that incumbents are incentivized to behave in a competitive manner, the cost advantages and barriers to entry or exit enjoyed by incumbents must be equal to or less than an entrepreneur’s expectation of economic profit associated with entry.  Thus, a commitment to property rights by antitrust courts and avoidance of excessive licensure, intellectual property, and economic regulation by the legislative and executive branches is sufficient from an economic perspective to ensure a reasonable degree of contestability in markets.

In my next post I will discuss a source of disruptive technology that will likely provide some competitive pressure on the firms in these mergers and acquisitions in the near future.

Truth on the Market is pleased to announce its next blog symposium:

Agricultural and Biotech Mergers: Implications for Antitrust Law and Economics in Innovative Industries

March 30 & 31, 2017

Earlier this week the European Commission cleared the merger of Dow and DuPont, subject to conditions including divestiture of DuPont’s “global R&D organisation.” As the Commission noted:

The Commission had concerns that the merger as notified would have reduced competition on price and choice in a number of markets for existing pesticides. Furthermore, the merger would have reduced innovation. Innovation, both to improve existing products and to develop new active ingredients, is a key element of competition between companies in the pest control industry, where only five players are globally active throughout the entire research & development (R&D) process.

In addition to the traditional focus on price effects, the merger’s presumed effect on innovation loomed large in the EC’s consideration of the Dow/DuPont merger — as it is sure to in its consideration of the other two pending mergers in the agricultural biotech and chemicals industries between Bayer and Monsanto and ChemChina and Syngenta. Innovation effects are sure to take center stage in the US reviews of the mergers, as well.

What is less clear is exactly how antitrust agencies evaluate — and how they should evaluate — mergers like these in rapidly evolving, high-tech industries.

These proposed mergers present a host of fascinating and important issues, many of which go to the core of modern merger enforcement — and antitrust law and economics more generally. Among other things, they raise issues of:

  • The incorporation of innovation effects in antitrust analysis;
  • The relationship between technological and organizational change;
  • The role of non-economic considerations in merger review;
  • The continued relevance (or irrelevance) of the Structure-Conduct-Performance paradigm;
  • Market definition in high-tech markets; and
  • The patent-antitrust interface

Beginning on March 30, Truth on the Market and the International Center for Law & Economics will host a blog symposium discussing how some of these issues apply to these mergers per se, as well as the state of antitrust law and economics in innovative-industry mergers more broadly.

As in the past (see examples of previous TOTM blog symposia here), we’ve lined up an outstanding and diverse group of scholars to discuss these issues:

  • Allen Gibby, Senior Fellow for Law & Economics, International Center for Law & Economics
  • Shubha Ghosh, Crandall Melvin Professor of Law and Director of the Technology Commercialization Law Program, Syracuse University College of Law
  • Ioannis Lianos,  Chair of Global Competition Law and Public Policy, Faculty of Laws, University College London
  • John E. Lopatka (tent.), A. Robert Noll Distinguished Professor of Law, Penn State Law
  • Geoffrey A. Manne, Executive Director, International Center for Law & Economics
  • Diana L. Moss, President, American Antitrust Institute
  • Nicolas Petit, Professor of Law, Faculty of Law, and Co-director, Liege Competition and Innovation Institute, University of Liege
  • Levi A. Russell, Assistant Professor, Agricultural & Applied Economics, University of Georgia
  • Joanna M. Shepherd, Professor of Law, Emory University School of Law
  • Michael Sykuta, Associate Professor, Agricultural and Applied Economics, and Director, Contracting Organizations Research Institute, University of Missouri

Initial contributions to the symposium will appear periodically on the 30th and 31st, and the discussion will continue with responsive posts (if any) next week. We hope to generate a lively discussion, and readers are invited to contribute their own thoughts in comments to the participants’ posts.

The symposium posts will be collected here.

We hope you’ll join us!

What does it mean to “own” something? A simple question (with a complicated answer, of course) that, astonishingly, goes unasked in a recent article in the Pennsylvania Law Review entitled, What We Buy When We “Buy Now,” by Aaron Perzanowski and Chris Hoofnagle (hereafter “P&H”). But how can we reasonably answer the question they pose without first trying to understand the nature of property interests?

P&H set forth a simplistic thesis for their piece: when an e-commerce site uses the term “buy” to indicate the purchase of digital media (instead of the term “license”), it deceives consumers. This is so, the authors assert, because the common usage of the term “buy” indicates that there will be some conveyance of property that necessarily includes absolute rights such as alienability, descendibility, and excludability, and digital content doesn’t generally come with these attributes. The authors seek to establish this deception through a poorly constructed survey regarding consumers’ understanding of the parameters of their property interests in digitally acquired copies. (The survey’s considerable limitations is a topic for another day….)

The issue is more than merely academic: NTIA and the USPTO have just announced that they will hold a public meeting

to discuss how best to communicate to consumers regarding license terms and restrictions in connection with online transactions involving copyrighted works… [as a precursor to] the creation of a multistakeholder process to establish best practices to improve consumers’ understanding of license terms and restrictions in connection with online transactions involving creative works.

Whatever the results of that process, it should not begin, or end, with P&H’s problematic approach.

Getting to their conclusion that platforms are engaged in deceptive practices requires two leaps of faith: First, that property interests are absolute and that any restraint on the use of “property” is inconsistent with the notion of ownership; and second, that consumers’ stated expectations (even assuming that they were measured correctly) alone determine the appropriate contours of legal (and economic) property interests. Both leaps are meritless.

Property and ownership are not absolute concepts

P&H are in such a rush to condemn downstream restrictions on the alienability of digital copies that they fail to recognize that “property” and “ownership” are not absolute terms, and are capable of being properly understood only contextually. Our very notions of what objects may be capable of ownership change over time, along with the scope of authority over owned objects. For P&H, the fact that there are restrictions on the use of an object means that it is not properly “owned.” But that overlooks our everyday understanding of the nature of property.

Ownership is far more complex than P&H allow, and ownership limited by certain constraints is still ownership. As Armen Alchian and Harold Demsetz note in The Property Right Paradigm (1973):

In common speech, we frequently speak of someone owning this land, that house, or these bonds. This conversational style undoubtedly is economical from the viewpoint of quick communication, but it masks the variety and complexity of the ownership relationship. What is owned are rights to use resources, including one’s body and mind, and these rights are always circumscribed, often by the prohibition of certain actions. To “own land” usually means to have the right to till (or not to till) the soil, to mine the soil, to offer those rights for sale, etc., but not to have the right to throw soil at a passerby, to use it to change the course of a stream, or to force someone to buy it. What are owned are socially recognized rights of action. (Emphasis added).

Literally, everything we own comes with a range of limitations on our use rights. Literally. Everything. So starting from a position that limitations on use mean something is not, in fact, owned, is absurd.

Moreover, in defining what we buy when we buy digital goods by reference to analog goods, P&H are comparing apples and oranges, without acknowledging that both apples and oranges are bought.

There has been a fair amount of discussion about the nature of digital content transactions (including by the USPTO and NTIA), and whether they are analogous to traditional sales of objects or more properly characterized as licenses. But this is largely a distinction without a difference, and the nature of the transaction is unnecessary in understanding that P&H’s assertion of deception is unwarranted.

Quite simply, we are accustomed to buying licenses as well as products. Whenever we buy a ticket — e.g., an airline ticket or a ticket to the movies — we are buying the right to use something or gain some temporary privilege. These transactions are governed by the terms of the license. But we certainly buy tickets, no? Alchian and Demsetz again:

The domain of demarcated uses of a resource can be partitioned among several people. More than one party can claim some ownership interest in the same resource. One party may own the right to till the land, while another, perhaps the state, may own an easement to traverse or otherwise use the land for specific purposes. It is not the resource itself which is owned; it is a bundle, or a portion, of rights to use a resource that is owned. In its original meaning, property referred solely to a right, title, or interest, and resources could not be identified as property any more than they could be identified as right, title, or interest. (Emphasis added).

P&H essentially assert that restrictions on the use of property are so inconsistent with the notion of property that it would be deceptive to describe the acquisition transaction as a purchase. But such a claim completely overlooks the fact that there are restrictions on any use of property in general, and on ownership of copies of copyright-protected materials in particular.

Take analog copies of copyright-protected works. While the lawful owner of a copy is able to lend that copy to a friend, sell it, or even use it as a hammer or paperweight, he or she can not offer it for rental (for certain kinds of works), cannot reproduce it, may not publicly perform or broadcast it, and may not use it to bludgeon a neighbor. In short, there are all kinds of restrictions on the use of said object — yet P&H have little problem with defining the relationship of person to object as “ownership.”

Consumers’ understanding of all the terms of exchange is a poor metric for determining the nature of property interests

P&H make much of the assertion that most users don’t “know” the precise terms that govern the allocation of rights in digital copies; this is the source of the “deception” they assert. But there is a cost to marking out the precise terms of use with perfect specificity (no contract specifies every eventuality), a cost to knowing the terms perfectly, and a cost to caring about them.

When we buy digital goods, we probably care a great deal about a few terms. For a digital music file, for example, we care first and foremost about whether it will play on our device(s). Other terms are of diminishing importance. Users certainly care whether they can play a song when offline, for example, but whether their children will be able to play it after they die? Not so much. That eventuality may, in fact, be specified in the license, but the nature of this particular ownership relationship includes a degree of rational ignorance on the users’ part: The typical consumer simply doesn’t care. In other words, she is, in Nobel-winning economist Herbert Simon’s term, “boundedly rational.” That isn’t deception; it’s a feature of life without which we would be overwhelmed by “information overload” and unable to operate. We have every incentive and ability to know the terms we care most about, and to ignore the ones about which we care little.

Relatedly, P&H also fail to understand the relationship between price and ownership. A digital song that is purchased from Amazon for $.99 comes with a set of potentially valuable attributes. For example:

  • It may be purchased on its own, without the other contents of an album;
  • It never degrades in quality, and it’s extremely difficult to misplace;
  • It may be purchased from one’s living room and be instantaneously available;
  • It can be easily copied or transferred onto multiple devices; and
  • It can be stored in Amazon’s cloud without taking up any of the consumer’s physical memory resources.

In many ways that matter to consumers, digital copies are superior to analog or physical ones. And yet, compared to physical media, on a per-song basis (assuming one could even purchase a physical copy of a single song without purchasing an entire album), $.99 may represent a considerable discount. Moreover, in 1982 when CDs were first released, they cost an average of $15. In 2017 dollars, that would be $38. Yet today most digital album downloads can be found for $10 or less.

Of course, songs purchased on CD or vinyl offer other benefits that a digital copy can’t provide. But the main thing — the ability to listen to the music — is approximately equal, and yet the digital copy offers greater convenience at (often) lower price. It is impossible to conclude that a consumer is duped by such a purchase, even if it doesn’t come with the ability to resell the song.

In fact, given the price-to-value ratio, it is perhaps reasonable to think that consumers know full well (or at least suspect) that there might be some corresponding limitations on use — the inability to resell, for example — that would explain the discount. For some people, those limitations might matter, and those people, presumably, figure out whether such limitations are present before buying a digital album or song For everyone else, however, the ability to buy a digital song for $.99 — including all of the benefits of digital ownership, but minus the ability to resell — is a good deal, just as it is worth it to a home buyer to purchase a house, regardless of whether it is subject to various easements.

Consumers are, in fact, familiar with “buying” property with all sorts of restrictions

The inability to resell digital goods looms inordinately large for P&H: According to them, by virtue of the fact that digital copies may not be resold, “ownership” is no longer an appropriate characterization of the relationship between the consumer and her digital copy. P&H believe that digital copies of works are sufficiently similar to analog versions, that traditional doctrines of exhaustion (which would permit a lawful owner of a copy of a work to dispose of that copy as he or she deems appropriate) should apply equally to digital copies, and thus that the inability to alienate the copy as the consumer wants means that there is no ownership interest per se.

But, as discussed above, even ownership of a physical copy doesn’t convey to the purchaser the right to make or allow any use of that copy. So why should we treat the ability to alienate a copy as the determining factor in whether it is appropriate to refer to the acquisition as a purchase? P&H arrive at this conclusion only through the illogical assertion that

Consumers operate in the marketplace based on their prior experience. We suggest that consumers’ “default” behavior is based on the experiences of buying physical media, and the assumptions from that context have carried over into the digital domain.

P&H want us to believe that consumers can’t distinguish between the physical and virtual worlds, and that their ability to use media doesn’t differentiate between these realms. But consumers do understand (to the extent that they care) that they are buying a different product, with different attributes. Does anyone try to play a vinyl record on his or her phone? There are perceived advantages and disadvantages to different kinds of media purchases. The ability to resell is only one of these — and for many (most?) consumers not likely the most important.

And, furthermore, the notion that consumers better understood their rights — and the limitations on ownership — in the physical world and that they carried these well-informed expectations into the digital realm is fantasy. Are we to believe that the consumers of yore understood that when they bought a physical record they could sell it, but not rent it out? That if they played that record in a public place they would need to pay performance royalties to the songwriter and publisher? Not likely.

Simply put, there is a wide variety of goods and services that we clearly buy, but that have all kinds of attributes that do not fit P&H’s crabbed definition of ownership. For example:

  • We buy tickets to events and membership in clubs (which, depending upon club rules, may not be alienated, and which always lapse for non-payment).
  • We buy houses notwithstanding the fact that in most cases all we own is the right to inhabit the premises for as long as we pay the bank (which actually retains more of the incidents of “ownership”).
  • In fact, we buy real property encumbered by a series of restrictive covenants: Depending upon where we live, we may not be able to build above a certain height, we may not paint the house certain colors, we may not be able to leave certain objects in the driveway, and we may not be able to resell without approval of a board.

We may or may not know (or care) about all of the restrictions on our use of such property. But surely we may accurately say that we bought the property and that we “own” it, nonetheless.

The reality is that we are comfortable with the notion of buying any number of limited property interests — including the purchasing of a license — regardless of the contours of the purchase agreement. The fact that some ownership interests may properly be understood as licenses rather than as some form of exclusive and permanent dominion doesn’t suggest that a consumer is not involved in a transaction properly characterized as a sale, or that a consumer is somehow deceived when the transaction is characterized as a sale — and P&H are surely aware of this.

Conclusion: The real issue for P&H is “digital first sale,” not deception

At root, P&H are not truly concerned about consumer deception; they are concerned about what they view as unreasonable constraints on the “rights” of consumers imposed by copyright law in the digital realm. Resale looms so large in their analysis not because consumers care about it (or are deceived about it), but because the real object of their enmity is the lack of a “digital first sale doctrine” that exactly mirrors the law regarding physical goods.

But Congress has already determined that there are sufficient distinctions between ownership of digital copies and ownership of analog ones to justify treating them differently, notwithstanding ownership of the particular copy. And for good reason: Trade in “used” digital copies is not a secondary market. Such copies are identical to those traded in the primary market and would compete directly with “pristine” digital copies. It makes perfect sense to treat ownership differently in these cases — and still to say that both digital and analog copies are “bought” and “owned.”

P&H’s deep-seated opposition to current law colors and infects their analysis — and, arguably, their failure to be upfront about it is the real deception. When one starts an analysis with an already-identified conclusion, the path from hypothesis to result is unlikely to withstand scrutiny, and that is certainly the case here.

Thanks to Truth on the Market for the opportunity to guest blog, and to ICLE for inviting me to join as a Senior Scholar! I’m honoured to be involved with both of these august organizations.

In Brussels, the talk of the town is that the European Commission (“Commission”) is casting a new eye on the old antitrust conjecture that prophesizes a negative relationship between industry concentration and innovation. This issue arises in the context of the review of several mega-mergers in the pharmaceutical and AgTech (i.e., seed genomics, biochemicals, “precision farming,” etc.) industries.

The antitrust press reports that the Commission has shown signs of interest for the introduction of a new theory of harm: the Significant Impediment to Industry Innovation (“SIII”) theory, which would entitle the remediation of mergers on the sole ground that a transaction significantly impedes innovation incentives at the industry level. In a recent ICLE White Paper, I discuss the desirability and feasibility of the introduction of this doctrine for the assessment of mergers in R&D-driven industries.

The introduction of SIII analysis in EU merger policy would no doubt be a sea change, as compared to past decisional practice. In previous cases, the Commission has paid heed to the effects of a merger on incentives to innovate, but the assessment has been limited to the effect on the innovation incentives of the merging parties in relation to specific current or future products. The application of the SIII theory, however, would entail an assessment of a possible reduction of innovation in (i) a given industry as a whole; and (ii) not in relation to specific product applications.

The SIII theory would also be distinct from the innovation markets” framework occasionally applied in past US merger policy and now marginalized. This framework considers the effect of a merger on separate upstream “innovation markets,i.e., on the R&D process itself, not directly linked to a downstream current or future product market. Like SIII, innovation markets analysis is interesting in that the identification of separate upstream innovation markets implicitly recognises that the players active in those markets are not necessarily the same as those that compete with the merging parties in downstream product markets.

SIII is way more intrusive, however, because R&D incentives are considered in the abstract, without further obligation on the agency to identify structured R&D channels, pipeline products, and research trajectories.

With this, any case for an expansion of the Commission’s power to intervene against mergers in certain R&D-driven industries should rely on sound theoretical and empirical infrastructure. Yet, despite efforts by the most celebrated Nobel-prize economists of the past decades, the economics that underpin the relation between industry concentration and innovation incentives remains an unfathomable mystery. As Geoffrey Manne and Joshua Wright have summarized in detail, the existing literature is indeterminate, at best. As they note, quoting Rich Gilbert,

[a] careful examination of the empirical record concludes that the existing body of theoretical and empirical literature on the relationship between competition and innovation “fails to provide general support for the Schumpeterian hypothesis that monopoly promotes either investment in research and development or the output of innovation” and that “the theoretical and empirical evidence also does not support a strong conclusion that competition is uniformly a stimulus to innovation.”

Available theoretical research also fails to establish a directional relationship between mergers and innovation incentives. True, soundbites from antitrust conferences suggest that the Commission’s Chief Economist Team has developed a deterministic model that could be brought to bear on novel merger policy initiatives. Yet, given the height of the intellectual Everest under discussion, we remain dubious (yet curious).

And, as noted, the available empirical data appear inconclusive. Consider a relatively concentrated industry like the seed and agrochemical sector. Between 2009 and 2016, all big six agrochemical firms increased their total R&D expenditure and their R&D intensity either increased or remained stable. Note that this has taken place in spite of (i) a significant increase in concentration among the largest firms in the industry; (ii) dramatic drop in global agricultural commodity prices (which has adversely affected several agrochemical businesses); and (iii) the presence of strong appropriability devices, namely patent rights.

This brief industry example (that I discuss more thoroughly in the paper) calls our attention to a more general policy point: prior to poking and prodding with novel theories of harm, one would expect an impartial antitrust examiner to undertake empirical groundwork, and screen initial intuitions of adverse effects of mergers on innovation through the lenses of observable industry characteristics.

At a more operational level, SIII also illustrates the difficulties of using indirect proxies of innovation incentives such as R&D figures and patent statistics as a preliminary screening tool for the assessment of the effects of the merger. In my paper, I show how R&D intensity can increase or decrease for a variety of reasons that do not necessarily correlate with an increase or decrease in the intensity of innovation. Similarly, I discuss why patent counts and patent citations are very crude indicators of innovation incentives. Over-reliance on patent counts and citations can paint a misleading picture of the parties’ strength as innovators in terms of market impact: not all patents are translated into products that are commercialised or are equal in terms of commercial value.

As a result (and unlike the SIII or innovation markets approaches), the use of these proxies as a measure of innovative strength should be limited to instances where the patent clearly has an actual or potential commercial application in those markets that are being assessed. Such an approach would ensure that patents with little or no impact on innovation competition in a market are excluded from consideration. Moreover, and on pain of stating the obvious, patents are temporal rights. Incentives to innovate may be stronger as a protected technological application approaches patent expiry. Patent counts and citations, however, do not discount the maturity of patents and, in particular, do not say much about whether the patent is far from or close to its expiry date.

In order to overcome the limitations of crude quantitative proxies, it is in my view imperative to complement an empirical analysis with industry-specific qualitative research. Central to the assessment of the qualitative dimension of innovation competition is an understanding of the key drivers of innovation in the investigated industry. In the agrochemical industry, industry structure and market competition may only be one amongst many other factors that promote innovation. Economic models built upon Arrow’s replacement effect theory – namely that a pre-invention monopoly acts as a strong disincentive to further innovation – fail to capture that successful agrochemical products create new technology frontiers.

Thus, for example, progress in crop protection products – and, in particular, in pest- and insect-resistant crops – had fuelled research investments in pollinator protection technology. Moreover, the impact of wider industry and regulatory developments on incentives to innovate and market structure should not be ignored (for example, falling crop commodity prices or regulatory restrictions on the use of certain products). Last, antitrust agencies are well placed to understand that beyond R&D and patent statistics, there is also a degree of qualitative competition in the innovation strategies that are pursued by agrochemical players.

My paper closes with a word of caution. No compelling case has been advanced to support a departure from established merger control practice with the introduction of SIII in pharmaceutical and agrochemical mergers. The current EU merger control framework, which enables the Commission to conduct a prospective analysis of the parties’ R&D incentives in current or future product markets, seems to provide an appropriate safeguard against anticompetitive transactions.

In his 1974 Nobel Prize Lecture, Hayek criticized the “scientific error” of much economic research, which assumes that intangible, correlational laws govern observable and measurable phenomena. Hayek warned that economics is like biology: both fields focus on “structures of essential complexity” which are recalcitrant to stylized modeling. Interestingly, competition was one of the examples expressly mentioned by Hayek in his lecture:

[T]he social sciences, like much of biology but unlike most fields of the physical sciences, have to deal with structures of essential complexity, i.e. with structures whose characteristic properties can be exhibited only by models made up of relatively large numbers of variables. Competition, for instance, is a process which will produce certain results only if it proceeds among a fairly large number of acting persons.

What remains from this lecture is a vibrant call for humility in policy making, at a time where some constituencies within antitrust agencies show signs of interest in revisiting the relationship between concentration and innovation. And if Hayek’s convoluted writing style is not the most accessible of all, the title captures it all: “The Pretense of Knowledge.

The antitrust industry never sleeps – it is always hard at work seeking new business practices to scrutinize, eagerly latching on to any novel theory of anticompetitive harm that holds out the prospect of future investigations.  In so doing, antitrust entrepreneurs choose, of course, to ignore Nobel Laureate Ronald Coase’s warning that “[i]f an economist finds something . . . that he does not understand, he looks for a monopoly explanation.  And as in this field we are rather ignorant, the number of ununderstandable practices tends to be rather large, and the reliance on monopoly explanations frequent.”  Ambitious antitrusters also generally appear oblivious to the fact that since antitrust is an administrative system subject to substantial error and transaction costs in application (see here), decision theory counsels that enforcers should proceed with great caution before adopting novel untested theories of competitive harm.

The latest example of this regrettable phenomenon is the popular new theory that institutional investors’ common ownership of minority shares in competing firms may pose serious threats to vigorous market competition (see here, for example).  If such investors’ shareholdings are insufficient to control or substantially influence the strategies employed by the competing firms, what is the precise mechanism by which this occurs?  At the very least, this question should give enforcers pause (and cause them to carefully examine both the theoretical and empirical underpinnings of the common ownership story) before they charge ahead as knights errant seeking to vanquish new financial foes.  Yet it appears that at least some antitrust enforcers have been wasting no time in seeking to factor common ownership concerns into their modes of analysis.  (For example, The European Commission in at least one case presented a modified Herfindahl-Hirschman Index (MHHI) analysis to account for the effects of common shareholding by institutional investors, as part of a statement of objections to a proposed merger, see here.)

A recent draft paper by Bates White economists Daniel P. O’Brien and Keith Waehrer raises major questions about recent much heralded research (reported in three studies dealing with executive compensation, airlines, and banking) that has been cited to raise concerns about common minority shareholdings’ effects on competition.  The draft paper’s abstract argues that the theory underlying these concerns is insufficiently developed, and that there are serious statistical flaws in the empirical work that purports to show a relationship between price and common ownership:

“Recent empirical research purports to show that common ownership by institutional investors harms competition even when all financial holdings are minority interests. This research has received a great deal of attention, leading to both calls for and actual changes in antitrust policy. This paper examines the research on this subject to date and finds that its conclusions regarding the effects of minority shareholdings on competition are not well established. Without prejudging what more rigorous empirical work might show, we conclude that researchers and policy authorities are getting well ahead of themselves in drawing policy conclusions from the research to date. The theory of partial ownership does not yield a specific relationship between price and the MHHI. In addition, the key explanatory variable in the emerging research – the MHHI – is an endogenous measure of concentration that depends on both common ownership and market shares. Factors other than common ownership affect both price and the MHHI, so the relationship between price and the MHHI need not reflect the relationship between price and common ownership. Thus, regressions of price on the MHHI are likely to show a relationship even if common ownership has no actual causal effect on price. The instrumental variable approaches employed in this literature are not sufficient to remedy this issue. We explain these points with reference to the economic theory of partial ownership and suggest avenues for further research.”

In addition to pinpointing deficiencies in existing research, O’Brien and Waehrer also summarize serious negative implications for the financial sector that could stem from the aggressive antitrust pursuit of partial ownership for the financial sector – a new approach that would be at odds with longstanding antitrust practice (footnote citations deleted):

“While it is widely accepted that common ownership can have anticompetitive effects when the owners have control over at least one of the firms they own (a complete merger is a special case), antitrust authorities historically have taken limited interest in common ownership by minority shareholders whose control seems to be limited to voting rights. Thus, if the empirical findings and conclusions in the emerging research are correct and robust, they could have dramatic implications for the antitrust analysis of mergers and acquisitions. The findings could be interpreted to suggest that antitrust authorities should scrutinize not only situations in which a common owner of competing firms control at least one of the entities it owns, but also situations in which all of the common owner’s shareholdings are small minority positions. As [previously] noted, . . . such a policy shift is already occurring.

Institutional investors (e.g., mutual funds) frequently take positions in multiple firms in an industry in order to offer diversified portfolios to retail investors at low transaction costs. A change in antitrust or regulatory policy toward these investments could have significant negative implications for the types of investments currently available to retail investors. In particular, a recent proposal to step up antitrust enforcement in this area would seem to require significant changes to the size or composition of many investment funds that are currently offered.

Given the potential policy implications of this research and the less than obvious connections between small minority ownership interests and anticompetitive price effects, it is important to be particularly confident in the analysis and empirical findings before drawing strong policy conclusions. In our view, this requires a valid empirical test that permits causal inferences about the effects of common ownership on price. In addition, the empirical findings and their interpretation should be consistent with the observed behavior of firms and investors in the economic and legal environments in which they operate.

We find that the airline, banking, and compensation papers [that deal with minority shareholding] fall short of these criteria.”

In sum, at the very least, a substantial amount of further work is called for before significant enforcement resources are directed to common minority shareholder investigations, lest competitively non-problematic investment holdings be chilled.  More generally, the trendy antitrust pursuit of common minority shareholdings threatens to interfere inappropriately in investment decisions of institutional investors and thereby undermine efficiency.  Given the great significance of institutional investment for vibrant capital markets and a growing, dynamic economy, the negative economic welfare consequences of such unwarranted meddling would likely swamp any benefits that might accrue from an occasional meritorious prosecution.  One may hope that the Trump Administration will seriously weigh those potential consequences as it examines the minority shareholding issue, in deciding upon its antitrust policy priorities.