Posts Tagged ‘exploitation’


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I don’t have strong views about the idea of “platform capitalism,” the concept presented and elaborated in a recent book by Nick Srnicek to make sense of the business model of such companies as Google, Amazon, and Uber. I don’t feel I have a dog in that hunt.

What I do like is Srnicek’s critique of other designations—such as tech companies, sharing, and the gig economy—and his focus on the idea that these are, after all, capitalist firms operating in a capitalist economy. Their raison d’être is to make a profit by centralizing and monopolizing access to data and selling data (or services based on those data) to other firms.

In fact, the notion of “platform capitalism” might be extended to other kinds of enterprises. I’m thinking, for example, of sports franchises and universities. They also operate as platforms inasmuch as they generate profits across a range of activities. Nominally, they produce and sell a commodity (e.g., a football match and higher education)—but that only serves as a pretext for generating profits in other activities: in the case of sports franchises, television revenues, shirts and other memorabilia, food and drink concessions, and so on; similarly, in the case of higher education, on-line courses, research-based fees and patents, food and lodging for students and visitors, branded clothing, and of course collegiate sports spectacles. In both cases, sports franchises and universities operate as diverse, profit-making platforms.

So, in my view, the idea of “platform capitalism” might be a useful way of thinking about at least some forms of capitalism that exist today.

What I find odd, though, is some of the commentary on Srnicek’s work. Consider, for example, Daniel Little’s posing of the questions generated by the emergence of “platform capitalism”:

what after all is the source of value and wealth? And who has a valid claim on a share? What principles of justice should govern the distribution of the wealth of society? The labor theory of value had an answer to the question, but it is an answer that didn’t have a lot of validity in 1850 and has none today.

What Little seems not to understand is that the profits of the enterprises operating under the rubric of “platform capitalism” are still based on the surplus labor of workers who produce the commodities that are being sold. Uber, for example, manages to generate its profits by capturing the surplus of its drivers. It doesn’t own the vehicles and doesn’t directly employ the drivers (with all the associated costs savings) but, since it owns the platform that connects drivers to passengers, it secures a “right” to the surplus created by the drivers and paid for by the passengers. The other kinds of platforms analyzed by Srnicek have different ways of generating profits: by selling advertising based on information collected about users (e.g., Facebook and Google), by renting servers used to process data (e.g., Amazon), and so on. But in all these cases, workers are doing the job of writing and modifying software, collecting and processing data, building and maintaining servers, and supplying the ultimate services to other enterprises or final consumers who purchase the commodities. And the members of the boards of directors of platform capitalist enterprises are the ones who ultimately appropriate the surplus.

Capitalism has, of course, changed since the mid-nineteenth century. The technologies, the modes of employment of workers, the ways commodities are marketed and the role users play, the measuring and processing of data—all of those features of the capitalist mode of production have changed radically since industrial capitalism first emerged. But the basic logic—of capitalists and workers, of creating, appropriating, and distributing surplus labor in the form of surplus-value—is the same for capitalist enterprises today just as it was in 1850.

That’s why the Marxian critique of political economy, modified and updated for the twenty-first century, continues to be able to explain the “source of value and wealth”—including and perhaps especially “the soaring inequalities of income and wealth that capitalism has produced” in recent decades.


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wage share

It’s obvious to anyone who looks at the numbers that the wage share of national income is historically low. And it’s been falling for decades now, since 1970.

Before that, during the short Golden Age of U.S. capitalism, the presumption was that the share of national income going to labor was and would remain relatively stable, hovering around 50 percent. But then it started to fall, and now (as of 2015) stands at 43 percent.

That’s a precipitous drop for a supposedly stable share of the total amount produced by workers, especially as productivity rose dramatically during that same period.

The question is, what has caused that decline in the labor share?

The latest story proffered by mainstream economists (such as David Autor and his coauthors) has to do with “superstar” firms:

From manufacturing to retailing, giant companies have managed to gobble up a larger and larger share of the market.

While such concentration has resulted in enormous profits for investors and owners of behemoths like Facebook, Google and Amazon, this type of “winner take most” competition may not be so good for workers as a whole. Over the last 30 years, their share of the total income kitty has been eroding. And the industries where concentration is the greatest is where labor’s share has dropped the most. . .

Think about the retail sector, where mom-and-pop stores once crowded the landscape. Now it is dominated by a handful of giants like Walmart, Target and Costco.

It is true, industry concentration has increased dramatically in recent decades (as I explain here). And the wage share has declined (as illustrated in the chart above).

Here’s the problem: exactly the opposite argument is the one that prevailed in the United States for the earlier period. Economists at the time argued that American workers earned a relatively high share of national income because they worked in concentrated industries, such as cars and steel. Thus, their collectively bargained wages included a portion of the “monopoly rents” captured by the firms within those industries.

Now that the wage share has clearly fallen, and shows no signs of returning to its previous levels, economists have changed their story. In their view, market concentration leads to a lower, not higher, wage share.

Why has there been such an about-face in economists’ story about the causes of the declining wage share?

What all the existing stories share is that they avoid identifying anything that has been done to workers as a class. Whether the story is about technological change, globalization, or now superstar firms, the idea is that there are larger forces that unwittingly have created winners and losers—and the losers, if they want, need to acquire the education and skills to join the winners. But don’t touch the basic elements of the economic system that has created such disparate and divergent outcomes.

As it turns out, the presumed rule of a stable wage share turns out to have been an illusion, an exceptional period of relatively short duration during which workers’ wages did in fact rise along with productivity. That wasn’t the case before, and it hasn’t been true since.

The actual rule, as it turns out, is that the wage share falls, as the rate of exploitation increases. That’s how capitalism works, at least much of the time—through periods of faster and slower technological change, higher or lower levels of globalization, more or less concentrated industries.

Sure, under a particular set of postwar conditions in the United States, for two and a half decades or so, the wage share remained relatively stable (and not without pitched battles between capital and labor, as Richard McIntyre and Michael Hillard have shown). But that ended decades ago, and since then workers have been forced to have the freedom to sell their ability to work under conditions that, even as productivity continued to grow, the wage share itself declined.

Mainstream economists have finally recognized the fact that workers’ share of national income has been failing. But they continue to formulate stories that deflect attention from the real problem, the relative immiseration of workers that has them falling further and further behind.


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Regular readers know I take statistics quite seriously. So, as it turns out, did Stephen Jay Gould who, in the most poignant story about statistics of which I am aware, explained how important it is to go beyond the abstractions of central tendencies and understand the distribution of variation within the numbers.

And right now, when the numbers are under attack—when, for example, the new Trump administration is threatening to purge the inconvenient numbers about climate change—it is even more important to understand the role statistics play in economic and social life.*

William Davies [ht: ja] offers one story about statistics, starting with the recent populist attacks on public statistics and the questioning of the experts that produce and interpret them. His view is that, for all their faults, the numbers collected and disseminated by technical experts within national statistical offices need to be defended—as the representation of “common ideas of society and collective progress”—against the rise of private “data.”

A post-statistical society is a potentially frightening proposition, not because it would lack any forms of truth or expertise altogether, but because it would drastically privatise them. Statistics are one of many pillars of liberalism, indeed of Enlightenment. The experts who produce and use them have become painted as arrogant and oblivious to the emotional and local dimensions of politics. No doubt there are ways in which data collection could be adapted to reflect lived experiences better. But the battle that will need to be waged in the long term is not between an elite-led politics of facts versus a populist politics of feeling. It is between those still committed to public knowledge and public argument and those who profit from the ongoing disintegration of those things.

I understand the threat posed by big, private data—all those numbers that are collected “behind our backs and beyond our knowledge” when we travel, make purchases, and participate in social media, and in turn are utilized to sell us even more commodities (including, of course, political candidates).

But I also think Davies, in his rush to condemn private control over big data, presents too uncritical of a defense of “the kinds of unambiguous, objective, potentially consensus-forming claims about society that statisticians and economists are paid for.”

Consider, for example, one of the “unambiguous, objective, potentially consensus-forming claims about society” Davies himself cites: GDP. Just last Friday, the headlines reported that the U.S. economy grew “only” 1.6 percent during the last quarter of 2016, “the lowest level in five years.”

The presumption was that the decline in the number (with respect to both previous quarters and economists’ forecasts) represented a fundamental problem. But why should it—why should a decline in the growth rate of GDP be taken as a sign of something that needs to be fixed?

Davies does mention that GDP “only captures the value of paid work, thereby excluding the work traditionally done by women in the domestic sphere, has made it a target of feminist critique since the 1960s.” But the controversies surrounding that particular statistic are much more widespread than Davies would have us believe. As a number of recent books (including Ehsan Masood’s The Great Invention: The Story of GDP and the Making and Unmaking of the Modern World) have clearly explained, the initial formulation of that particular measure of national income as well as subsequent revisions have involved theoretical and political choices about what should and should not be included—government expenditures but not labor within households, the production of fossil fuels but not the destruction of the natural environment, sales of private security but not the growing inequality it is designed to protect against.**

Even more fundamentally, GDP is a measure of market transactions, of goods and services produced—and thus the contemporary counting of the elements celebrated by Adam Smith’s notion of the “wealth of nations.” But what it doesn’t measure are the conditions under which those commodities are produced.

Me, I’d be much more willing to join forces with Davies and defend the claims about society that statisticians and economists are paid for if they were also paid to calculate and publicly report one other number, S/V, the rate of exploitation.


**We should remember that perhaps the real hero of volume 1 of Capital was Leonard Horner, who as a factory inspector “carried on a life-long contest, not only with the embittered manufacturers, but also with the Cabinet, to whom the number of votes given by the masters in the Lower House, was a matter of far greater importance than the number of hours worked by the ‘hands’ in the mills.”

**Other useful books on GDP include the following: Philipp Lepenies’s The Power of a Single Number: A Political History of GDP (Columbia University Press, 2016), Lorenzo Fioramonti’s Gross Domestic Problem: The Politics Behind the World’s Most Powerful Number (Zed Books, 2013), and Thomas A. Stapleford’s The Cost of Living in America: A Political History of Economic Statistics, 1880-2000 (Cambridge University Press, 2009).