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In a recent post at the (appallingly misnamed) ProMarket blog (the blog of the Stigler Center at the University of Chicago Booth School of Business — George Stigler is rolling in his grave…), Marshall Steinbaum keeps alive the hipster-antitrust assertion that lax antitrust enforcement — this time in the labor market — is to blame for… well, most? all? of what’s wrong with “the labor market and the broader macroeconomic conditions” in the country.

In this entry, Steinbaum takes particular aim at the US enforcement agencies, which he claims do not consider monopsony power in merger review (and other antitrust enforcement actions) because their current consumer welfare framework somehow doesn’t recognize monopsony as a possible harm.

This will probably come as news to the agencies themselves, whose Horizontal Merger Guidelines devote an entire (albeit brief) section (section 12) to monopsony, noting that:

Mergers of competing buyers can enhance market power on the buying side of the market, just as mergers of competing sellers can enhance market power on the selling side of the market. Buyer market power is sometimes called “monopsony power.”

* * *

Market power on the buying side of the market is not a significant concern if suppliers have numerous attractive outlets for their goods or services. However, when that is not the case, the Agencies may conclude that the merger of competing buyers is likely to lessen competition in a manner harmful to sellers.

Steinbaum fails to mention the HMGs, but he does point to a US submission to the OECD to make his point. In that document, the agencies state that

The U.S. Federal Trade Commission (“FTC”) and the Antitrust Division of the Department of Justice (“DOJ”) [] do not consider employment or other non-competition factors in their antitrust analysis. The antitrust agencies have learned that, while such considerations “may be appropriate policy objectives and worthy goals overall… integrating their consideration into a competition analysis… can lead to poor outcomes to the detriment of both businesses and consumers.” Instead, the antitrust agencies focus on ensuring robust competition that benefits consumers and leave other policies such as employment to other parts of government that may be specifically charged with or better placed to consider such objectives.

Steinbaum, of course, cites only the first sentence. And he uses it as a launching-off point to attack the notion that antitrust is an improper tool for labor market regulation. But if he had just read a little bit further in the (very short) document he cites, Steinbaum might have discovered that the US antitrust agencies have, in fact, challenged the exercise of collusive monopsony power in labor markets. As footnote 19 of the OECD submission notes:

Although employment is not a relevant policy goal in antitrust analysis, anticompetitive conduct affecting terms of employment can violate the Sherman Act. See, e.g., DOJ settlement with eBay Inc. that prevents the company from entering into or maintaining agreements with other companies that restrain employee recruiting or hiring; FTC settlement with ski equipment manufacturers settling charges that companies illegally agreed not to compete for one another’s ski endorsers or employees. (Emphasis added).

And, ironically, while asserting that labor market collusion doesn’t matter to the agencies, Steinbaum himself points to “the Justice Department’s 2010 lawsuit against Silicon Valley employers for colluding not to hire one another’s programmers.”

Steinbaum instead opts for a willful misreading of the first sentence of the OECD submission. But what the OECD document refers to, of course, are situations where two firms merge, no market power is created (either in input or output markets), but people are laid off because the merged firm does not need all of, say, the IT and human resources employees previously employed in the pre-merger world.

Does Steinbaum really think this is grounds for challenging the merger on antitrust grounds?

Actually, his post suggests that he does indeed think so, although he doesn’t come right out and say it. What he does say — as he must in order to bring antitrust enforcement to bear on the low- and unskilled labor markets (e.g., burger flippers; retail cashiers; Uber drivers) he purports to care most about — is that:

Employers can have that control [over employees, as opposed to independent contractors] without first establishing themselves as a monopoly—in fact, reclassification [of workers as independent contractors] is increasingly standard operating procedure in many industries, which means that treating it as a violation of Section 2 of the Sherman Act should not require that outright monopolization must first be shown. (Emphasis added).

Honestly, I don’t have any idea what he means. Somehow, because firms hire independent contractors where at one time long ago they might have hired employees… they engage in Sherman Act violations, even if they don’t have market power? Huh?

I get why he needs to try to make this move: As I intimated above, there is probably not a single firm in the world that hires low- or unskilled workers that has anything approaching monopsony power in those labor markets. Even Uber, the example he uses, has nothing like monopsony power, unless perhaps you define the market (completely improperly) as “drivers already working for Uber.” Even then Uber doesn’t have monopsony power: There can be no (or, at best, virtually no) markets in the world where an Uber driver has no other potential employment opportunities but working for Uber.

Moreover, how on earth is hiring independent contractors evidence of anticompetitive behavior? ”Reclassification” is not, in fact, “standard operating procedure.” It is the case that in many industries firms (unilaterally) often decide to contract out the hiring of low- and unskilled workers over whom they do not need to exercise direct oversight to specialized firms, thus not employing those workers directly. That isn’t “reclassification” of existing workers who have no choice but to accept their employer’s terms; it’s a long-term evolution of the economy toward specialization, enabled in part by technology.

And if we’re really concerned about what “employee” and “independent contractor” mean for workers and employment regulation, we should reconsider those outdated categories. Firms are faced with a binary choice: hire workers or independent contractors. Neither really fits many of today’s employment arrangements very well, but that’s the choice firms are given. That they sometimes choose “independent worker” over “employee” is hardly evidence of anticompetitive conduct meriting antitrust enforcement.

The point is: The notion that any of this is evidence of monopsony power, or that the antitrust enforcement agencies don’t care about monopsony power — because, Bork! — is absurd.

Even more absurd is the notion that the antitrust laws should be used to effect Steinbaum’s preferred market regulations — independent of proof of actual anticompetitive effect. I get that it’s hard to convince Congress to pass the precise laws you want all the time. But simply routing around Congress and using the antitrust statutes as a sort of meta-legislation to enact whatever happens to be Marshall Steinbaum’s preferred regulation du jour is ridiculous.

Which is a point the OECD submission made (again, if only Steinbaum had read beyond the first sentence…):

[T]wo difficulties with expanding the scope of antitrust analysis to include employment concerns warrant discussion. First, a full accounting of employment effects would require consideration of short-term effects, such as likely layoffs by the merged firm, but also long-term effects, which could include employment gains elsewhere in the industry or in the economy arising from efficiencies generated by the merger. Measuring these effects would [be extremely difficult.]. Second, unless a clear policy spelling out how the antitrust agency would assess the appropriate weight to give employment effects in relation to the proposed conduct or transaction’s procompetitive and anticompetitive effects could be developed, [such enforcement would be deeply problematic, and essentially arbitrary].

To be sure, the agencies don’t recognize enough that they already face the problem of reconciling multidimensional effects — e.g., short-, medium-, and long-term price effects, innovation effects, product quality effects, etc. But there is no reason to exacerbate the problem by asking them to also consider employment effects. Especially not in Steinbaum’s world in which certain employment effects are problematic even without evidence of market power or even actual anticompetitive harm, just because he says so.

Consider how this might play out:

Suppose that Pepsi, Coca-Cola, Dr. Pepper… and every other soft drink company in the world attempted to merge, creating a monopoly soft drink manufacturer. In what possible employment market would even this merger create a monopsony in which anticompetitive harm could be tied to the merger? In the market for “people who know soft drink secret formulas?” Yet Steinbaum would have the Sherman Act enforced against such a merger not because it might create a product market monopoly, but because the existence of a product market monopoly means the firm must be able to bad things in other markets, as well. For Steinbaum and all the other scolds who see concentration as the source of all evil, the dearth of evidence to support such a claim is no barrier (on which, see, e.g., this recent, content-less NYT article (that, naturally, quotes Steinbaum) on how “big business may be to blame” for the slowing rate of startups).

The point is, monopoly power in a product market does not necessarily have any relationship to monopsony power in the labor market. Simply asserting that it does — and lambasting the enforcement agencies for not just accepting that assertion — is farcical.

The real question, however, is what has happened to the University of Chicago that it continues to provide a platform for such nonsense?

Last week the editorial board of the Washington Post penned an excellent editorial responding to the European Commission’s announcement of its decision in its Google Shopping investigation. Here’s the key language from the editorial:

Whether the demise of any of [the complaining comparison shopping sites] is specifically traceable to Google, however, is not so clear. Also unclear is the aggregate harm from Google’s practices to consumers, as opposed to the unlucky companies. Birkenstock-seekers may well prefer to see a Google-generated list of vendors first, instead of clicking around to other sites…. Those who aren’t happy anyway have other options. Indeed, the rise of comparison shopping on giants such as Amazon and eBay makes concerns that Google might exercise untrammeled power over e-commerce seem, well, a bit dated…. Who knows? In a few years we might be talking about how Facebook leveraged its 2 billion users to disrupt the whole space.

That’s actually a pretty thorough, if succinct, summary of the basic problems with the Commission’s case (based on its PR and Factsheet, at least; it hasn’t released the full decision yet).

I’ll have more to say on the decision in due course, but for now I want to elaborate on two of the points raised by the WaPo editorial board, both in service of its crucial rejoinder to the Commission that “Also unclear is the aggregate harm from Google’s practices to consumers, as opposed to the unlucky companies.”

First, the WaPo editorial board points out that:

Birkenstock-seekers may well prefer to see a Google-generated list of vendors first, instead of clicking around to other sites.

It is undoubtedly true that users “may well prefer to see a Google-generated list of vendors first.” It’s also crucial to understanding the changes in Google’s search results page that have given rise to the current raft of complaints.

As I noted in a Wall Street Journal op-ed two years ago:

It’s a mistake to consider “general search” and “comparison shopping” or “product search” to be distinct markets.

From the moment it was technologically feasible to do so, Google has been adapting its traditional search results—that familiar but long since vanished page of 10 blue links—to offer more specialized answers to users’ queries. Product search, which is what is at issue in the EU complaint, is the next iteration in this trend.

Internet users today seek information from myriad sources: Informational sites (Wikipedia and the Internet Movie Database); review sites (Yelp and TripAdvisor); retail sites (Amazon and eBay); and social-media sites (Facebook and Twitter). What do these sites have in common? They prioritize certain types of data over others to improve the relevance of the information they provide.

“Prioritization” of Google’s own shopping results, however, is the core problem for the Commission:

Google has systematically given prominent placement to its own comparison shopping service: when a consumer enters a query into the Google search engine in relation to which Google’s comparison shopping service wants to show results, these are displayed at or near the top of the search results. (Emphasis in original).

But this sort of prioritization is the norm for all search, social media, e-commerce and similar platforms. And this shouldn’t be a surprise: The value of these platforms to the user is dependent upon their ability to sort the wheat from the chaff of the now immense amount of information coursing about the Web.

As my colleagues and I noted in a paper responding to a methodologically questionable report by Tim Wu and Yelp leveling analogous “search bias” charges in the context of local search results:

Google is a vertically integrated company that offers general search, but also a host of other products…. With its well-developed algorithm and wide range of products, it is hardly surprising that Google can provide not only direct answers to factual questions, but also a wide range of its own products and services that meet users’ needs. If consumers choose Google not randomly, but precisely because they seek to take advantage of the direct answers and other options that Google can provide, then removing the sort of “bias” alleged by [complainants] would affirmatively hurt, not help, these users. (Emphasis added).

And as Josh Wright noted in an earlier paper responding to yet another set of such “search bias” charges (in that case leveled in a similarly methodologically questionable report by Benjamin Edelman and Benjamin Lockwood):

[I]t is critical to recognize that bias alone is not evidence of competitive harm and it must be evaluated in the appropriate antitrust economic context of competition and consumers, rather individual competitors and websites. Edelman & Lockwood´s analysis provides a useful starting point for describing how search engines differ in their referrals to their own content. However, it is not useful from an antitrust policy perspective because it erroneously—and contrary to economic theory and evidence—presumes natural and procompetitive product differentiation in search rankings to be inherently harmful. (Emphasis added).

We’ll have to see what kind of analysis the Commission relies upon in its decision to reach its conclusion that prioritization is an antitrust problem, but there is reason to be skeptical that it will turn out to be compelling. The Commission states in its PR that:

The evidence shows that consumers click far more often on results that are more visible, i.e. the results appearing higher up in Google’s search results. Even on a desktop, the ten highest-ranking generic search results on page 1 together generally receive approximately 95% of all clicks on generic search results (with the top result receiving about 35% of all the clicks). The first result on page 2 of Google’s generic search results receives only about 1% of all clicks. This cannot just be explained by the fact that the first result is more relevant, because evidence also shows that moving the first result to the third rank leads to a reduction in the number of clicks by about 50%. The effects on mobile devices are even more pronounced given the much smaller screen size.

This means that by giving prominent placement only to its own comparison shopping service and by demoting competitors, Google has given its own comparison shopping service a significant advantage compared to rivals. (Emphasis added).

Whatever truth there is in the characterization that placement is more important than relevance in influencing user behavior, the evidence cited by the Commission to demonstrate that doesn’t seem applicable to what’s happening on Google’s search results page now.

Most crucially, the evidence offered by the Commission refers only to how placement affects clicks on “generic search results” and glosses over the fact that the “prominent placement” of Google’s “results” is not only a difference in position but also in the type of result offered.

Google Shopping results (like many of its other “vertical results” and direct answers) are very different than the 10 blue links of old. These “universal search” results are, for one thing, actual answers rather than merely links to other sites. They are also more visually rich and attractively and clearly displayed.

Ironically, Tim Wu and Yelp use the claim that users click less often on Google’s universal search results to support their contention that increased relevance doesn’t explain Google’s prioritization of its own content. Yet, as we note in our response to their study:

[I]f a consumer is using a search engine in order to find a direct answer to a query rather than a link to another site to answer it, click-through would actually represent a decrease in consumer welfare, not an increase.

In fact, the study fails to incorporate this dynamic even though it is precisely what the authors claim the study is measuring.

Further, as the WaPo editorial intimates, these universal search results (including Google Shopping results) are quite plausibly more valuable to users. As even Tim Wu and Yelp note:

No one truly disagrees that universal search, in concept, can be an important innovation that can serve consumers.

Google sees it exactly this way, of course. Here’s Tim Wu and Yelp again:

According to Google, a principal difference between the earlier cases and its current conduct is that universal search represents a pro-competitive, user-serving innovation. By deploying universal search, Google argues, it has made search better. As Eric Schmidt argues, “if we know the answer it is better for us to answer that question so [the user] doesn’t have to click anywhere, and in that sense we… use data sources that are our own because we can’t engineer it any other way.”

Of course, in this case, one would expect fewer clicks to correlate with higher value to users — precisely the opposite of the claim made by Tim Wu and Yelp, which is the surest sign that their study is faulty.

But the Commission, at least according to the evidence cited in its PR, doesn’t even seem to measure the relative value of the very different presentations of information at all, instead resting on assertions rooted in the irrelevant difference in user propensity to click on generic (10 blue links) search results depending on placement.

Add to this Pinar Akman’s important point that Google Shopping “results” aren’t necessarily search results at all, but paid advertising:

[O]nce one appreciates the fact that Google’s shopping results are simply ads for products and Google treats all ads with the same ad-relevant algorithm and all organic results with the same organic-relevant algorithm, the Commission’s order becomes impossible to comprehend. Is the Commission imposing on Google a duty to treat non-sponsored results in the same way that it treats sponsored results? If so, does this not provide an unfair advantage to comparison shopping sites over, for example, Google’s advertising partners as well as over Amazon, eBay, various retailers, etc…?

Randy Picker also picks up on this point:

But those Google shopping boxes are ads, Picker told me. “I can’t imagine what they’re thinking,” he said. “Google is in the advertising business. That’s how it makes its money. It has no obligation to put other people’s ads on its website.”

The bottom line here is that the WaPo editorial board does a better job characterizing the actual, relevant market dynamics in a single sentence than the Commission seems to have done in its lengthy releases summarizing its decision following seven full years of investigation.

The second point made by the WaPo editorial board to which I want to draw attention is equally important:

Those who aren’t happy anyway have other options. Indeed, the rise of comparison shopping on giants such as Amazon and eBay makes concerns that Google might exercise untrammeled power over e-commerce seem, well, a bit dated…. Who knows? In a few years we might be talking about how Facebook leveraged its 2 billion users to disrupt the whole space.

The Commission dismisses this argument in its Factsheet:

The Commission Decision concerns the effect of Google’s practices on comparison shopping markets. These offer a different service to merchant platforms, such as Amazon and eBay. Comparison shopping services offer a tool for consumers to compare products and prices online and find deals from online retailers of all types. By contrast, they do not offer the possibility for products to be bought on their site, which is precisely the aim of merchant platforms. Google’s own commercial behaviour reflects these differences – merchant platforms are eligible to appear in Google Shopping whereas rival comparison shopping services are not.

But the reality is that “comparison shopping,” just like “general search,” is just one technology among many for serving information and ads to consumers online. Defining the relevant market or limiting the definition of competition in terms of the particular mechanism that Google (or Foundem, or Amazon, or Facebook…) happens to use doesn’t reflect the extent of substitutability between these different mechanisms.

Properly defined, the market in which Google competes online is not search, but something more like online “matchmaking” between advertisers, retailers and consumers. And this market is enormously competitive. The same goes for comparison shopping.

And the fact that Amazon and eBay “offer the possibility for products to be bought on their site” doesn’t take away from the fact that they also “offer a tool for consumers to compare products and prices online and find deals from online retailers of all types.” Not only do these sites contain enormous amounts of valuable (and well-presented) information about products, including product comparisons and consumer reviews, but they also actually offer comparisons among retailers. In fact, Fifty percent of the items sold through Amazon’s platform, for example, are sold by third-party retailers — the same sort of retailers that might also show up on a comparison shopping site.

More importantly, though, as the WaPo editorial rightly notes, “[t]hose who aren’t happy anyway have other options.” Google just isn’t the indispensable gateway to the Internet (and definitely not to shopping on the Internet) that the Commission seems to think.

Today over half of product searches in the US start on Amazon. The majority of web page referrals come from Facebook. Yelp’s most engaged users now access it via its app (which has seen more than 3x growth in the past five years). And a staggering 40 percent of mobile browsing on both Android and iOS now takes place inside the Facebook app.

Then there are “closed” platforms like the iTunes store and innumerable other apps that handle copious search traffic (including shopping-related traffic) but also don’t figure in the Commission’s analysis, apparently.

In fact, billions of users reach millions of companies every day through direct browser navigation, social media, apps, email links, review sites, blogs, and countless other means — all without once touching Google.com. So-called “dark social” interactions (email, text messages, and IMs) drive huge amounts of some of the most valuable traffic on the Internet, in fact.

All of this, in turn, has led to a competitive scramble to roll out completely new technologies to meet consumers’ informational (and merchants’ advertising) needs. The already-arriving swarm of VR, chatbots, digital assistants, smart-home devices, and more will offer even more interfaces besides Google through which consumers can reach their favorite online destinations.

The point is this: Google’s competitors complaining that the world is evolving around them don’t need to rely on Google. That they may choose to do so does not saddle Google with an obligation to ensure that they can always do so.

Antitrust laws — in Europe, no less than in the US — don’t require Google or any other firm to make life easier for competitors. That’s especially true when doing so would come at the cost of consumer-welfare-enhancing innovations. The Commission doesn’t seem to have grasped this fundamental point, however.

The WaPo editorial board gets it, though:

The immense size and power of all Internet giants are a legitimate focus for the antitrust authorities on both sides of the Atlantic. Brussels vs. Google, however, seems to be a case of punishment without crime.

We’re delighted to welcome Eric Fruits as our newest blogger at Truth on the Market.

Eric Fruits, Ph.D. is the Oregon Association of Realtors Faculty Fellow at Portland State University and the recently minted Chief Economist at the International Center for Law & Economics.

Eric Fruits

Among other things, Dr. Fruits is an antitrust expert, with particular expertise in price fixing and cartels (see, e.g., his article, Market Power and Cartel Formation: Theory and an Empirical Test, in the Journal of Law and Economics). He has assisted in the review of several mergers including Sysco-US Foods, Exxon-Mobil, BP-Arco, and Nestle-Ralston. He has worked on numerous antitrust lawsuits, including Weyerhaeuser v. Ross-Simmons, a predatory bidding case that was ultimately decided by the US Supreme Court (and discussed at some length by Thom here on TOTM: See here and here).

As an expert in statistics, he has provided expert opinions and testimony regarding market manipulation, real estate transactions, profit projections, agricultural commodities, and war crimes allegations. His expert testimony has been submitted to state courts, federal courts, and an international court.

Eric has also written peer-reviewed articles on insider trading, initial public offerings (IPOs), and the municipal bond market, among many other topics. His economic analysis has been widely cited and has been published in The Economist and the Wall Street Journal. His testimony regarding the economics of public employee pension reforms was heard by a special session of the Oregon Supreme Court.

You can also find him on Twitter at @ericfruits

Welcome, Eric!

 

 

I’ll be participating in two excellent antitrust/consumer protection events next week in DC, both of which may be of interest to our readers:

5th Annual Public Policy Conference on the Law & Economics of Privacy and Data Security

hosted by the GMU Law & Economics Center’s Program on Economics & Privacy, in partnership with the Future of Privacy Forum, and the Journal of Law, Economics & Policy.

Conference Description:

Data flows are central to an increasingly large share of the economy. A wide array of products and business models—from the sharing economy and artificial intelligence to autonomous vehicles and embedded medical devices—rely on personal data. Consequently, privacy regulation leaves a large economic footprint. As with any regulatory enterprise, the key to sound data policy is striking a balance between competing interests and norms that leaves consumers better off; finding an approach that addresses privacy concerns, but also supports the benefits of technology is an increasingly complex challenge. Not only is technology continuously advancing, but individual attitudes, expectations, and participation vary greatly. New ideas and approaches to privacy must be identified and developed at the same pace and with the same focus as the technologies they address.

This year’s symposium will include panels on Unfairness under Section 5: Unpacking “Substantial Injury”, Conceptualizing the Benefits and Costs from Data Flows, and The Law and Economics of Data Security.

I will be presenting a draft paper, co-authored with Kristian Stout, on the FTC’s reasonableness standard in data security cases following the Commission decision in LabMD, entitled, When “Reasonable” Isn’t: The FTC’s Standard-less Data Security Standard.

Conference Details:

  • Thursday, June 8, 2017
  • 8:00 am to 3:40 pm
  • at George Mason University, Founders Hall (next door to the Law School)
    • 3351 Fairfax Drive, Arlington, VA 22201

Register here

View the full agenda here

 

The State of Antitrust Enforcement

hosted by the Federalist Society.

Panel Description:

Antitrust policy during much of the Obama Administration was a continuation of the Bush Administration’s minimal involvement in the market. However, at the end of President Obama’s term, there was a significant pivot to investigations and blocks of high profile mergers such as Halliburton-Baker Hughes, Comcast-Time Warner Cable, Staples-Office Depot, Sysco-US Foods, and Aetna-Humana and Anthem-Cigna. How will or should the new Administration analyze proposed mergers, including certain high profile deals like Walgreens-Rite Aid, AT&T-Time Warner, Inc., and DraftKings-FanDuel?

Join us for a lively luncheon panel discussion that will cover these topics and the anticipated future of antitrust enforcement.

Speakers:

  • Albert A. Foer, Founder and Senior Fellow, American Antitrust Institute
  • Profesor Geoffrey A. Manne, Executive Director, International Center for Law & Economics
  • Honorable Joshua D. Wright, Professor of Law, George Mason University School of Law
  • Moderator: Honorable Ronald A. Cass, Dean Emeritus, Boston University School of Law and President, Cass & Associates, PC

Panel Details:

  • Friday, June 09, 2017
  • 12:00 pm to 2:00 pm
  • at the National Press Club, MWL Conference Rooms
    • 529 14th Street, NW, Washington, DC 20045

Register here

Hope to see everyone at both events!

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.

Today, the International Center for Law & Economics (ICLE) released a study updating our 2014 analysis of the economic effects of the Durbin Amendment to the Dodd-Frank Act.

The new paper, Unreasonable and Disproportionate: How the Durbin Amendment Harms Poorer Americans and Small Businesses, by ICLE scholars, Todd J. Zywicki, Geoffrey A. Manne, and Julian Morris, can be found here; a Fact Sheet highlighting the paper’s key findings is available here.

Introduced as part of the Dodd-Frank Act in 2010, the Durbin Amendment sought to reduce the interchange fees assessed by large banks on debit card transactions. In the words of its primary sponsor, Sen. Richard Durbin, the Amendment aspired to help “every single Main Street business that accepts debit cards keep more of their money, which is a savings they can pass on to their consumers.”

Unfortunately, although the Durbin Amendment did generate benefits for big-box retailers, ICLE’s 2014 analysis found that it had actually harmed many other merchants and imposed substantial net costs on the majority of consumers, especially those from lower-income households.

In the current study, we analyze a welter of new evidence and arguments to assess whether time has ameliorated or exacerbated the Amendment’s effects. Our findings in this report expand upon and reinforce our findings from 2014:

Relative to the period before the Durbin Amendment, almost every segment of the interrelated retail, banking, and consumer finance markets has been made worse off as a result of the Amendment.

Predictably, the removal of billions of dollars in interchange fee revenue has led to the imposition of higher bank fees and reduced services for banking consumers.

In fact, millions of households, regardless of income level, have been adversely affected by the Durbin Amendment through higher overdraft fees, increased minimum balances, reduced access to free checking, higher ATM fees, and lost debit card rewards, among other things.

Nor is there any evidence that merchants have lowered prices for retail consumers; for many small-ticket items, in fact, prices have been driven up.

Contrary to Sen. Durbin’s promises, in other words, increased banking costs have not been offset by lower retail prices.

At the same time, although large merchants continue to reap a Durbin Amendment windfall, there remains no evidence that small merchants have realized any interchange cost savings — indeed, many have suffered cost increases.

And all of these effects fall hardest on the poor. Hundreds of thousands of low-income households have chosen (or been forced) to exit the banking system, with the result that they face higher costs, difficulty obtaining credit, and complications receiving and making payments — all without offset in the form of lower retail prices.

Finally, the 2017 study also details a new trend that was not apparent when we examined the data three years ago: Contrary to our findings then, the two-tier system of interchange fee regulation (which exempts issuing banks with under $10 billion in assets) no longer appears to be protecting smaller banks from the Durbin Amendment’s adverse effects.

This week the House begins consideration of the Amendment’s repeal as part of Rep. Hensarling’s CHOICE Act. Our study makes clear that the Durbin price-control experiment has proven a failure, and that repeal is, indeed, the only responsible option.

Click on the following links to read:

Full Paper

Fact Sheet

Summary

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.

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!