Archives For markets

Today, the Senate Committee on Health, Education, Labor, and Pensions (HELP) enters the drug pricing debate with a hearing on “The Cost of Prescription Drugs: How the Drug Delivery System Affects What Patients Pay.”  By questioning the role of the drug delivery system in pricing, the hearing goes beyond the more narrow focus of recent hearings that have explored how drug companies set prices.  Instead, today’s hearing will explore how pharmacy benefit managers, insurers, providers, and others influence the amounts that patients pay.

In 2016, net U.S. drug spending increased by 4.8% to $323 billion (after adjusting for rebates and off-invoice discounts).  This rate of growth slowed to less than half the rates of 2014 and 2015, when net drug spending grew at rates of 10% and 8.9% respectively.  Yet despite the slowing in drug spending, the public outcry over the cost of prescription drugs continues.

In today’s hearing, there will be testimony both on the various causes of drug spending increases and on various proposals that could reduce the cost of drugs.  Several of the proposals will focus on ways to increase competition in the pharmaceutical industry, and in turn, reduce drug prices.  I have previously explained several ways that the government could reduce prices through enhanced competition, including reducing the backlog of generic drugs awaiting FDA approval and expediting the approval and acceptance of biosimilars.  Other proposals today will likely call for regulatory reforms to enable innovative contractual arrangements that allow for outcome- or indication-based pricing and other novel reimbursement designs.

However, some proposals will undoubtedly return to the familiar call for more government negotiation of drug prices, especially drugs covered under Medicare Part D.  As I’ve discussed in a previous post, in order for government negotiation to significantly lower drug prices, the government must be able to put pressure on drug makers to secure price concessions. This could be achieved if the government could set prices administratively, penalize manufacturers that don’t offer price reductions, or establish a formulary.  Setting prices or penalizing drug makers that don’t reduce prices would produce the same disastrous effects as price controls: drug shortages in certain markets, increased prices for non-Medicare patients, and reduced incentives for innovation. A government formulary for Medicare Part D coverage would provide leverage to obtain discounts from manufacturers, but it would mean that many patients could no longer access some of their optimal drugs.

As lawmakers seriously consider changes that would produce these negative consequences, industry would do well to voluntarily constrain prices.  Indeed, in the last year, many drug makers have pledged to limit price increases to keep drug spending under control.  Allergan was first, with its “social contract” introduced last September that promised to keep price increases below 10 percent. Since then, Novo Nordisk, AbbVie, and Takeda, have also voluntarily committed to single-digit price increases.

So far, the evidence shows the drug makers are sticking to their promises. Allergan has raised the price of U.S. branded products by an average of 6.7% in 2017, and no drug’s list price has increased by more than single digits.  In contrast, Pfizer, who has made no pricing commitment, has raised the price of many of its drugs by 20%.

If more drug makers brought about meaningful change by committing to voluntary pricing restraints, the industry could prevent the market-distorting consequences of government intervention while helping patients afford the drugs they need.   Moreover, avoiding intrusive government mandates and price controls would preserve drug innovation that has brought life-saving and life-enhancing drugs to millions of Americans.

 

 

 

It’s fitting that FCC Chairman Ajit Pai recently compared his predecessor’s jettisoning of the FCC’s light touch framework for Internet access regulation without hard evidence to the Oklahoma City Thunder’s James Harden trade. That infamous deal broke up a young nucleus of three of the best players in the NBA in 2012 because keeping all three might someday create salary cap concerns. What few saw coming was a new TV deal in 2015 that sent the salary cap soaring.

If it’s hard to predict how the market will evolve in the closed world of professional basketball, predictions about the path of Internet innovation are an order of magnitude harder — especially for those making crucial decisions with a lot of money at stake.

The FCC’s answer for what it considered to be the dangerous unpredictability of Internet innovation was to write itself a blank check of authority to regulate ISPs in the 2015 Open Internet Order (OIO), embodied in what is referred to as the “Internet conduct standard.” This standard expanded the scope of Internet access regulation well beyond the core principle of preserving openness (i.e., ensuring that any legal content can be accessed by all users) by granting the FCC the unbounded, discretionary authority to define and address “new and novel threats to the Internet.”

When asked about what the standard meant (not long after writing it), former Chairman Tom Wheeler replied,

We don’t really know. We don’t know where things will go next. We have created a playing field where there are known rules, and the FCC will sit there as a referee and will throw the flag.

Somehow, former Chairman Wheeler would have us believe that an amorphous standard that means whatever the agency (or its Enforcement Bureau) says it means created a playing field with “known rules.” But claiming such broad authority is hardly the light-touch approach marketed to the public. Instead, this ill-conceived standard allows the FCC to wade as deeply as it chooses into how an ISP organizes its business and how it manages its network traffic.

Such an approach is destined to undermine, rather than further, the objectives of Internet openness, as embodied in Chairman Powell’s 2005 Internet Policy Statement:

To foster creation, adoption and use of Internet broadband content, applications, services and attachments, and to ensure consumers benefit from the innovation that comes from competition.

Instead, the Internet conduct standard is emblematic of how an off-the-rails quest to heavily regulate one specific component of the complex Internet ecosystem results in arbitrary regulatory imbalances — e.g., between ISPs and over-the-top (OTT) or edge providers that offer similar services such as video streaming or voice calling.

As Boston College Law Professor, Dan Lyons, puts it:

While many might assume that, in theory, what’s good for Netflix is good for consumers, the reality is more complex. To protect innovation at the edge of the Internet ecosystem, the Commission’s sweeping rules reduce the opportunity for consumer-friendly innovation elsewhere, namely by facilities-based broadband providers.

This is no recipe for innovation, nor does it coherently distinguish between practices that might impede competition and innovation on the Internet and those that are merely politically disfavored, for any reason or no reason at all.

Free data madness

The Internet conduct standard’s unholy combination of unfettered discretion and the impulse to micromanage can (and will) be deployed without credible justification to the detriment of consumers and innovation. Nowhere has this been more evident than in the confusion surrounding the regulation of “free data.”

Free data, like T-Mobile’s Binge On program, is data consumed by a user that has been subsidized by a mobile operator or a content provider. The vertical arrangements between operators and content providers creating the free data offerings provide many benefits to consumers, including enabling subscribers to consume more data (or, for low-income users, to consume data in the first place), facilitating product differentiation by mobile operators that offer a variety of free data plans (including allowing smaller operators the chance to get a leg up on competitors by assembling a market-share-winning plan), increasing the overall consumption of content, and reducing users’ cost of obtaining information. It’s also fundamentally about experimentation. As the International Center for Law & Economics (ICLE) recently explained:

Offering some services at subsidized or zero prices frees up resources (and, where applicable, data under a user’s data cap) enabling users to experiment with new, less-familiar alternatives. Where a user might not find it worthwhile to spend his marginal dollar on an unfamiliar or less-preferred service, differentiated pricing loosens the user’s budget constraint, and may make him more, not less, likely to use alternative services.

In December 2015 then-Chairman Tom Wheeler used his newfound discretion to launch a 13-month “inquiry” into free data practices before preliminarily finding some to be in violation of the standard. Without identifying any actual harm, Wheeler concluded that free data plans “may raise” economic and public policy issues that “may harm consumers and competition.”

After assuming the reins at the FCC, Chairman Pai swiftly put an end to that nonsense, saying that the Commission had better things to do (like removing barriers to broadband deployment) than denying free data plans that expand Internet access and are immensely popular, especially among low-income Americans.

The global morass of free data regulation

But as long as the Internet conduct standard remains on the books, it implicitly grants the US’s imprimatur to harmful policies and regulatory capriciousness in other countries that look to the US for persuasive authority. While Chairman Pai’s decisive intervention resolved the free data debate in the US (at least for now), other countries are still grappling with whether to prohibit the practice, allow it, or allow it with various restrictions.

In Europe, the 2016 EC guidelines left the decision of whether to allow the practice in the hands of national regulators. Consequently, some regulators — in Hungary, Sweden, and the Netherlands (although there the ban was recently overturned in court) — have banned free data practices  while others — in Denmark, Germany, Spain, Poland, the United Kingdom, and Ukraine — have not. And whether or not they allow the practice, regulators (e.g., Norway’s Nkom and the UK’s Ofcom) have lamented the lack of regulatory certainty surrounding free data programs, a state of affairs that is compounded by a lack of data on the consequences of various approaches to their regulation.

In Canada this year, the CRTC issued a decision adopting restrictive criteria under which to evaluate free data plans. The criteria include assessing the degree to which the treatment of data is agnostic, whether the free data offer is exclusive to certain customers or certain content providers, the impact on Internet openness and innovation, and whether there is financial compensation involved. The standard is open-ended, and free data plans as they are offered in the US would “likely raise concerns.”

Other regulators are contributing to the confusion through ambiguously framed rules, such as that of the Chilean regulator, Subtel. In a 2014 decision, it found that a free data offer of specific social network apps was in breach of Chile’s Internet rules. In contrast to what is commonly reported, however, Subtel did not ban free data. Instead, it required mobile operators to change how they promote such services, requiring them to state that access to Facebook, Twitter and WhatsApp were offered “without discounting the user’s balance” instead of “at no cost.” It also required them to disclose the amount of time the offer would be available, but imposed no mandatory limit.

In addition to this confusing regulatory make-work governing how operators market free data plans, the Chilean measures also require that mobile operators offer free data to subscribers who pay for a data plan, in order to ensure free data isn’t the only option users have to access the Internet.

The result is that in Chile today free data plans are widely offered by Movistar, Claro, and Entel and include access to apps such as Facebook, WhatsApp, Twitter, Instagram, Pokemon Go, Waze, Snapchat, Apple Music, Spotify, Netflix or YouTube — even though Subtel has nominally declared such plans to be in violation of Chile’s net neutrality rules.

Other regulators are searching for palatable alternatives to both flex their regulatory muscle to govern Internet access, while simultaneously making free data work. The Indian regulator, TRAI, famously banned free data in February 2016. But the story doesn’t end there. After seeing the potential value of free data in unserved and underserved, low-income areas, TRAI proposed implementing government-sanctioned free data. The proposed scheme would provide rural subscribers with 100 MB of free data per month, funded through the country’s universal service fund. To ensure that there would be no vertical agreements between content providers and mobile operators, TRAI recommended introducing third parties, referred to as “aggregators,” that would facilitate mobile-operator-agnostic arrangements.

The result is a nonsensical, if vaguely well-intentioned, threading of the needle between the perceived need to (over-)regulate access providers and the determination to expand access. Notwithstanding the Indian government’s awareness that free data will help to close the digital divide and enhance Internet access, in other words, it nonetheless banned private markets from employing private capital to achieve that very result, preferring instead non-market processes which are unlikely to be nearly as nimble or as effective — and yet still ultimately offer “non-neutral” options for consumers.

Thinking globally, acting locally (by ditching the Internet conduct standard)

Where it is permitted, free data is undergoing explosive adoption among mobile operators. Currently in the US, for example, all major mobile operators offer some form of free data or unlimited plan to subscribers. And, as a result, free data is proving itself as a business model for users’ early stage experimentation and adoption of augmented reality, virtual reality and other cutting-edge technologies that represent the Internet’s next wave — but that also use vast amounts of data. Were the US to cut off free data at the legs under the OIO absent hard evidence of harm, it would substantially undermine this innovation.

The application of the nebulous Internet conduct standard to free data is a microcosm of the current incoherence: It is a rule rife with a parade of uncertainties and only theoretical problems, needlessly saddling companies with enforcement risk, all in the name of preserving and promoting innovation and openness. As even some of the staunchest proponents of net neutrality have recognized, only companies that can afford years of litigation can be expected to thrive in such an environment.

In the face of confusion and uncertainty globally, the US is now poised to provide leadership grounded in sound policy that promotes innovation. As ICLE noted last month, Chairman Pai took a crucial step toward re-imposing economic rigor and the rule of law at the FCC by questioning the unprecedented and ill-supported expansion of FCC authority that undergirds the OIO in general and the Internet conduct standard in particular. Today the agency will take the next step by voting on Chairman Pai’s proposed rulemaking. Wherever the new proceeding leads, it’s a welcome opportunity to analyze the issues with a degree of rigor that has thus far been appallingly absent.

And we should not forget that there’s a direct solution to these ambiguities that would avoid the undulations of subsequent FCC policy fights: Congress could (and should) pass legislation implementing a regulatory framework grounded in sound economics and empirical evidence that allows for consumers to benefit from the vast number of procompetitive vertical agreements (such as free data plans), while still facilitating a means for policing conduct that may actually harm consumers.

The Golden State Warriors are the heavy odds-on favorite to win another NBA Championship this summer, led by former OKC player Kevin Durant. And James Harden is a contender for league MVP. We can’t always turn back the clock on a terrible decision, hastily made before enough evidence has been gathered, but Chairman Pai’s efforts present a rare opportunity to do so.

Today the International Center for Law & Economics (ICLE) Antitrust and Consumer Protection Research Program released a new white paper by Geoffrey A. Manne and Allen Gibby entitled:

A Brief Assessment of the Procompetitive Effects of Organizational Restructuring in the Ag-Biotech Industry

Over the past two decades, rapid technological innovation has transformed the industrial organization of the ag-biotech industry. These developments have contributed to an impressive increase in crop yields, a dramatic reduction in chemical pesticide use, and a substantial increase in farm profitability.

One of the most striking characteristics of this organizational shift has been a steady increase in consolidation. The recent announcements of mergers between Dow and DuPont, ChemChina and Syngenta, and Bayer and Monsanto suggest that these trends are continuing in response to new market conditions and a marked uptick in scientific and technological advances.

Regulators and industry watchers are often concerned that increased consolidation will lead to reduced innovation, and a greater incentive and ability for the largest firms to foreclose competition and raise prices. But ICLE’s examination of the underlying competitive dynamics in the ag-biotech industry suggests that such concerns are likely unfounded.

In fact, R&D spending within the seeds and traits industry increased nearly 773% between 1995 and 2015 (from roughly $507 million to $4.4 billion), while the combined market share of the six largest companies in the segment increased by more than 550% (from about 10% to over 65%) during the same period.

Firms today are consolidating in order to innovate and remain competitive in an industry replete with new entrants and rapidly evolving technological and scientific developments.

According to ICLE’s analysis, critics have unduly focused on the potential harms from increased integration, without properly accounting for the potential procompetitive effects. Our brief white paper highlights these benefits and suggests that a more nuanced and restrained approach to enforcement is warranted.

Our analysis suggests that, as in past periods of consolidation, the industry is well positioned to see an increase in innovation as these new firms unite complementary expertise to pursue more efficient and effective research and development. They should also be better able to help finance, integrate, and coordinate development of the latest scientific and technological developments — particularly in rapidly growing, data-driven “digital farming” —  throughout the industry.

Download the paper here.

And for more on the topic, revisit TOTM’s recent blog symposium, “Agricultural and Biotech Mergers: Implications for Antitrust Law and Economics in Innovative Industries,” here.

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….

Conclusion

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?

Diana L. Moss is President of the American Antitrust Institute

Innovation Competition in the Spotlight

Innovation is more and more in the spotlight as questions grow about concentration and declining competition in the U.S. economy. These questions come not only from advocates for more vigorous competition enforcement but also, increasingly, from those who adhere to the school of thought that consolidation tends to generate procompetitive efficiencies. On March 27th, the European Commission issued its decision approving the Dow-DuPont merger, subject to divestitures of DuPont’s global R&D agrichemical assets to preserve price and innovation competition.

Before we read too much into what the EU decision in Dow-DuPont means for merger review in the U.S., remember that agriculture differs markedly across regions. Europe uses very little genetically modified (or transgenic) seed, whereas row crop acreage in the U.S. is planted mostly with it. This cautions against drawing major implications of the EU’s decision across jurisdictions.

This post unpacks the mergers of Dow-DuPont and Monsanto-Bayer in the U.S. and what they mean for innovation competition.

A Troubled Landscape? Past Consolidation in Agricultural Biotechnology

If approved as proposed, the mergers of Dow-DuPont and Monsanto-Bayer would reduce the field of Big 6 agricultural biotechnology (ag-biotech) firms to the Big 4. This has raised concerns about potentially higher prices for traits, seeds, and agrichemicals, less choice, and less innovation. The two mergers would make a 3rd wave of consolidation in the industry since the mid-1980s, when transgenic technology first emerged. Past consolidation has materially affected the structure of the markets. This is particularly true in crop seed, where relative to other agricultural input sectors, the level of concentration (and increases in concentration) over time is the highest.

Growers and consumers feel the effects of these changes. Consumers pay attention to their choices at the grocery store, which have arguably diminished and for which they pay prices that have risen at rates in excess of inflation. And the states in which agriculture is a major economic activity worry about their growers and the prices they pay for transgenic seed, agrichemicals, and fertilizers. Farmers we spoke to note, for example, that weeds that are resistant to the herbicide Roundup have evolved over time, making it no longer as effective as it once was. Dependence on seed and chemical cropping systems with declining effectiveness (due to resistance) has been met by the industry with newer and more expensive traited seed and different agrichemicals. With consolidation, these alternatives have dwindled.

These are not frivolous concerns. Empirical evidence shows that “technology fees” on transgenic corn, soybean, and cotton seed make up a significant proportion of total seed costs. The USDA notes that the prices of farm inputs, led by crop seed, generally have risen faster over the last 20 years than the prices farmers have received for their commodities. Moreover, seed price increases have outpaced yield increases over time. And finally, the USDA has determined that increasing levels of concentration in agricultural input markets (including crop seed) are no longer generally associated with higher R&D or a permanent rise in R&D intensity.

Putting the Squeeze on Growers and Consumers

The “squeeze” on growers and consumers highlights the fact that ag-biotech innovation comes at an increasingly higher price – a price that many worry will increase if the Dow-DuPont and Monsanto-Bayer mergers go through. These concerns are magnified by the structure of the food supply chain where we see a lot of growers and consumers at either end but not a lot of competition in the middle. In the middle are the ag-biotech firms that innovate traits, seeds, and agrichemicals; food processors such as grain millers and meatpackers; food manufacturers; distributors; and retail grocers.

Almost every sector has been affected by significant consolidation over the last two decades, some of which has been blocked, but a lot of which has not. For example, U.S. antitrust enforcers stopped the mergers of beef packers JBS and National Beef and broadline food distributors Sysco and USFoods. But key mergers that many believed raised significant competitive concerns went through, including Tyson-Hillshire Brands (pork), ConAgra-Horizon Mills (flour), Monsanto-Delta & Pine Land (cotton), and Safeway-Albertsons (grocery).

Aside from concerns over price, quality, and innovation, consolidation in “hourglass” shaped supply chains raises other issues. For example, it is often motivated by incentives to bulk up to bargain more effectively vis-a-vis more powerful input suppliers or customers. As we have seen with health care providers and health insurers, mergers for this purpose can trigger further consolidation, creating a domino effect. A bottlenecked supply chain also decreases resiliency. With less competition, it is more exposed to exogenous shocks such as bioterrorism or food-borne disease. That’s a potential food security problem.

Innovation Competition and the Agricultural Biotechnology Mergers

The Dow-DuPont and Monsanto-Bayer merger proposals raise a number of issues. One is significant overlap in seed, likely to result in a duopoly in corn and soybeans and a dominant firm (Monsanto) in cotton. A second concern is that the mergers would create or enhance substantial vertical integration. Where some arguments for integration can carry weight in a Guidelines analysis, here there is economic evidence from soybeans and cotton indicating that prices tend to be higher under vertical integration than under cross-licensing arrangements.

Moreover, the “platforms” resulting from the mergers are likely to be engineered for the purpose of creating exclusive packages of traits, seeds, and agrichemicals that are less likely to interoperate with rival products. This could raise entry barriers for smaller innovators and reduce or cut off access to resources needed to compete effectively. Indeed, one farmer noted the constraint of being locked into a single traits-seeds-chemicals platform in a market with already limited competition “[I] can’t mix chemicals with other companies’ products to remedy Roundup resistance.”

A third concern raised by the mergers is the potential elimination of competition in innovation markets. The DOJ/FTC Horizontal Merger Guidelines (§6.4) note that a merger may diminish innovation competition through curtailment of “innovative efforts below the level that would prevail in the absence of the merger.” This is especially the case when the merging firms are each other’s close competitors (e.g., as in the DOJ’s case against Applied Materials and Tokyo Electron). Dow, DuPont, Monsanto, and Bayer are four of only six ag-biotech rivals.

Preserving Parallel Path R&D Pipelines

In contrast to arguments that the mergers would combine only complementary assets, the R&D pipelines for all four firms show overlaps in major areas of traits, seeds, and crop protection. This supports the notion that the R&D pipelines compete head-to-head for technology intended for commercialization in U.S. markets. Maintaining competition in R&D ensures incentives remain strong to continue existing and prospective product development programs. This is particularly true in industries like ag-biotech (and pharma) where R&D is risky, regulatory approvals take time, and commercial success depends on crop planning and switching costs.

Maintaining Pro-Competitive Incentives to Cross-License Traits

Perhaps more important is that innovation in ag-biotech depends on maintaining a field of rivals, each with strong pro-competitive incentives to collaborate to form new combined (i.e., “stacked”) trait profiles. Farmers benefit most when there are competing stacks to choose from. About 60% of all stacks on the market in 2009 were the result of joint venture cross-licensing collaborations across firms. And the traits innovated by Dow, DuPont, Monsanto, and Bayer account for over 80% of traits in those stacks. That these companies are important innovators is apparent in GM Crop Database data for genetic corn, soybean and cotton “events” approved in the U.S. From 1991-2014, for example, the four companies account for a significant proportion of innovation in important genetic events.

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. Such agreements could range from deciding which firms specialize in certain crops or traits, to devising market “rules,” such as cross-licensing terms and conditions. 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.

Remedies or Not? Preserving Innovation Competition

The DOJ has permitted two major ag-biotech mergers in the last decade, Monsanto’s mergers with DeKalb (corn) and Delta & Pine Land (cotton). In crafting remedies in both cases, the DOJ recognized the importance of innovation markets by fashioning remedies that focused on licensing or divesting patented technologies. The proposed mergers of Dow-DuPont and Monsanto-Bayer appear to be a different animal. They would reduce an already small field of large, integrated competitors, raise competitive concerns that have more breadth and complexity than in previous mergers, and are superimposed on growing evidence that transgenic technology has come at a higher and higher a price.Add to this the fact that a viable buyer of any divestiture R&D asset would be difficult to find outside the Big 6. Such a buyer would need to be national, if not global, in scale and scope in order to compete effectively

Add to this the fact that a viable buyer of any divestiture R&D asset would be difficult to find outside the Big 6. Such a buyer would need to be national, if not global, in scale and scope in order to compete effectively post-merger. Lack of scale and scope in R&D, financing, marketing, and distribution would necessitate cobbling together a package of assets to create and potentially prop up a national competitor. While the EU managed to pull this off, it is unclear whether the fact pattern in the U.S. would support a similar outcome. What we do know is that past mergers in the food and agriculture space have squeezed growers and consumers. Unless adequately addressed, these mega-deals stand to squeeze them even more.

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.

Conclusion

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.