Last time, I did a quick comparative scan of Francis Fukuyama’s The Origins of Political Order, Pankaj Ghemawat’s World 3.0 and David Graeber’s Debt: the first 5000 years, and covered Fukuyama’s book in more detail.
Let’s tackle World 3.0 next.
Ghemawat’s book is a tour de force of quantitative synthesis. Let’s start with an annotated version of the 2×2 that anchors World 3.0 (cleverly rotated by 45 degrees; I don’t know why other 2×2 inventors don’t do this).
This 2×2 is almost the only major piece of conceptual scaffolding in a book that is otherwise an empiricist’s delight. Everything is argued with numbers, and what cannot be argued with numbers is mostly not argued at all. It makes for a book with a lot of narrative potholes wherever the data gods to not smile, but where there is data, the book is extremely solid. It’s a refreshing change for me to read something that stays away from data-free speculation.
For conceptual/narrative types like me, this relentless assault with numbers can be hard to process, but it is worth the effort. I found myself taking notes of key interesting statistics. I compiled some highlights, if you want a data cheat-sheet.
The book is devoted to unpacking this 2×2 in gory, quantitative detail. The main point of the diagram is to separate the global economic integration conversation from the global regulation conversation.
- Low economic integration and low regulation gives you traditional, pre-nation-state societies, which some atavists believe they can and should return to. Ghemawat calls this World 0.0. It accounted for most of the world until about 1650.
- Low economic integration and high regulation gives you a world economic order where nation-states are the dominant unit. This is the world as it was between about 1650 and 1910, and the world people like Lou Dobbs want to return to.
- High economic integration and low regulation gives you the world Thomas Friedman thinks exists, but does not (as Ghemawat shows). It is something of a Darwinian state of nature, red in tooth-and-claw, where regulation, tied to strong nations and weak international bodies, cannot do much.
- Finally, high integration and high regulation gives you World 3.0, the one Ghemawat believes we should work towards. In fact, he believes we have no choice but to work towards it.
The Historical Framework
There is a Z-shaped historical Z-shaped trajectory here, (0.0 to 1.0 to 2.0 to 3.0) which bears a curious resemblance to an oscillation proposed by Graeber, though there are enough differences that you can only claim that they are talking about correlated, but different cyclic phenomena.
In terms of progress along the Z, we are somewhere halfway between 1.0 and 2.0 according to Ghemawat. At 1.5 say. His broad argument is that 0.0 is a hopelessly deluded and unrealistic state to attempt to get back to. 1.0 is achievable, but at enormous economic cost and reversal of global standard of living gains. Friedman’s “flat world” 2.0 is far too dangerously chaotic, but if international institutions of the right kind (i.e., not the World Bank/IMF type mechanisms) aren’t created or strengthened appropriately, we may well end up in a disaster-prone 2.0 regime, or fall back to a primitive 1.0 state.
Worlds 2.0 and 3.0 are possible futures. The level-elevating agenda is an explicit one: for Ghemawat, it is the only way to get beyond the Davos vs. anti-Davos framing of globalization. As he notes rather late in the book, on page 259:
“World 3.0 is an essential construct because focusing on just World 1.0 and World 2.0 conflates questions of integration and regulation into a tug-0-war along a single dimension.”
It’s an agenda I am entirely sympathetic to. So let’s see where he takes it. But a little sidebar first.
A Quick Sidebar on Free Agency
Ghemawat’s scenarios map in interesting ways to the scenarios in another 2×2: in Listening to the Future by Don Tapscott and Rob Salkowitz. Proving Ghemawat’s point that people tend to conflate economic integration and regulation into one “globalization” axis, with dangerous consequences, that’s the x-axis here. The y-axis is degree of free-agency in the workforce.
Since increasing free agency in the workforce is related to declining power for corporate forms of economic organization, and since (as Ghemawat shows) corporations are responsible for most ongoing integration, there are some interesting questions about coupling among the variables here.
But glossing over those difficulties (making good 2×2 diagrams is an art form), at a very rough level, you could say that Continental Drift maps to 1.0, Proud Tower to World 2.0 and Frontier Friction to World 0.0. Freelance Planet doesn’t really map to Ghemawat’s model, and his World 3.0 does not really map to this 2×2.
Though the global labor markets are a major theme in Ghemawat’s model, he doesn’t call out the free agency phenomenon per se. Instead, he argues for greater international labor mobility, and presents the quantitative case for the anti Lou-Dobbs argument: that it actually costs far more taxpayer money to “save” a job domestically than to allow freer migration and pursue comparative advantage models.
His slogan, which the free agency camp will like, is protect work, not jobs.
But on to the main part of the book.
The 3.0 Challenge
Both Ghemawat and Fukuyama belong to a breed of thinkers about world affairs whom you could characterize as being neither pro or anti-globalization. You could call them, instead, irreversabilists. They are historicists who believe that the process of globalization — gradual global political and economic integration — is irreversible. In the sense that reversal would be very painful, not conceptually impossible. A tiger-by-the-tail effect. Letting go could turn you into lunch.
For Ghemawat, the irreversibility is simply a matter of the sheer scale and momentum of the processes underway. As he notes, by 2050 the world will have doubled in population, and will be attempting (based on the rise of the middle class in the developing world) to create a five-fold increase in average per-capita income.
I hadn’t really thought of the effects of simultaneous population increase (from 6 to 9 billion) and attempts to raise the standard of living (moving a large segment of the global population to the middle class).
To avoid structural collapse along the way, Ghemawat argues, we have no choice but to try and make globalization work. Reversal of globalization processes would be extraordinarily painful for large portions of the world’s population.
I agree with Ghemawat’s point that we don’t have much choice. I am much less optimistic that it is actually possible. A five-fold increase in global output means something like a steady 4.2% global growth rate for the next 38 years (and that’s without adjusting for inflation).
What’s more, much of the population increase will actually happen in the next 15-20 years (i.e., population growth will be front-loaded). If economic growth is not front-loaded as well, we will be left with several decades where growth fails to match the demand.
This means that hundreds of millions of people who appear poised to enter the middle class around the world will either fail, or endure a couple of decades of pretty terrible times. It would be a modified global version of what happened in parts of Africa following the AIDS epidemic: a phenomenon called demographic fatigue, where growth cannot be sustained and ends up being reversed. In the African case, the death of many working-age males caused economies to collapse, which in turn destroyed standards of living and triggered population declines.
We just crossed 7 billion this year. We’ll hit 8 billion by 2025, and 8.5 billion by 2035. The last half billion on the way to 9 billion will take 15 years (at which point the world population is expected to stabilize and start decreasing). We happen to be in the midst of a global downturn now, with no real recovery on the horizon until at least 2015 0r 2016. All in all, the next 20 years or so look extremely gloomy to me.
Broadly speaking, the book is about whether we can meet this challenge. It starts with a round of debunking of dangerous globalization myths.
The book starts of with an unsparing take-down of what Ghemawat calls “globaloney” — data-free posturing and rhetoric that he sees as characterizing both the pro- and anti-globalization political camps. The early part of the book is devoted to such debunking.
While he spends a fair amount of time debunking claims from the far left, he reserves his most strident criticism for Thomas Friedman. You may want to read (or re-read) Friedman’s The World is Flat just to get reoriented around globalization as the dangerously uninformed understand and frame it.
For the left, he takes a quick look at their pet ideas: highly local, self-sufficient economies built around organic farming, green practices and so forth, and quickly demonstrates that when you attempt to translate those ideas to a 9-billion-person planet, you basically fail. Those models are at best survivalist models for an elite.
The anti-Friedman narrative in the book is the most entertaining part. Ghemawat recounts several anecdotes where his own dry and pragmatic data-driven advocacy of globalization ran into Friedmanology. As part of his work, he encountered several business and political leaders (Colin Powell among them) who were operating with The World is Flat as their guide, and leaning towards dangerously flawed decision-making as a result. I can imagine his frustration at being told to “go read Friedman” to educate himself about globalization.
Rather cleverly, he turns the sales figures for The World is Flat as yet another piece of data to shed light on globalization itself.
The heart of the criticism of Friedman-style thinking lies in two points. First, globalization has simply not progressed as far as Friedman and his fans think it has. Second, if it were to progress in the manner Friedman hopes it will, we’ll get to a very dangerous sort of world.
The first claim is based on an interesting model of actual and potential levels of globalization in the world.
Distance Sensitivity, Economic Integration and ADDING Value
The framework for analysis of globalization data that Ghemawat presents is based on a notion of distance sensitivity of international relationships of all sorts (ranging from email communication patters to trade). The distance measure he uses combines geographic, cultural, administrative (similar governance forms) and linguistic ideas of distance. Using these, he shows that all economic interaction is strongly sensitive to distance.
His most compelling piece of evidence is probably his analysis of US-Canada trade, the closest bilateral relationship in the world. He shows that even in this best-case scenario, compared to an ideal situation where distance and borders (in his abstract sense) didn’t matter, the US-Canada bilateral trade, the biggest in the world, is missing several trillion dollars.
From there, he broadens the scope of his argument and shows how most kinds of interaction are nowhere near their actual potential if distance and borders really didn’t matter. He goes into measure after measure and demonstrates the distance effects that exist. A table he compiles at the end of this exhaustive survey provides a great freeze-frame picture of globalization. These numbers represent how far globalization has progressed, with respect to a “full economic integration” end state represented by 100%. The details of the analytical model are more than I can get into, but they are worth making an effort to understand. Here’s a summary of internationalization measures, approximately captured by a chart on page 30:
- Mail: 1%
- Telephone calls: 2%
- University students: 2.5% (?)
- Immigrants: 3%
- Charity: 5-10%
- Direct investment: 10%
- Patents: 15%
- Venture capital: 17%
- Internet traffic: 17%
- Exports: 20%
- Equity investment: 20%
- News media: 21%
- Bank deposits: 25%
- Government debt: 35%
A general pattern here is that money is far more mobile than labor or human communication. The Internet traffic measure at 17% is probably an optimistic over-estimate, since the location of servers doesn’t really correlate very well with the content and traffic that flows through it.
This dataset is presented alongside some rather subtle arguments. For example, the different kinds of global interaction have very different kinds of leverage. Technology transfer (via IP) is very high-leverage indeed. Most countries rely on technology transfer for 90% of productivity increases. The US is the only country where the pattern is reversed: it is a net exporter of productivity-increasing technologies.
There are revealing glimpses at how hard it is to produce sensible numbers. Take the rhetoric around China taking away US manufacturing for instance. This is actually really hard to measure. Foreign content accounts for 50% of China’s exports, and 25% – 30% of global exports. This means circulation in intermediate goods is poorly modeled by commonly cited statistics, which indicate a need for value-added accounting to correct for inflated trade deficits. Often the oveerstatement is about 3x due to such “roundtripping.”
If you want more data highlights, look at my cheat sheet.
This first part of the book ends with a scorecard model for measuring progress along 6 major vectors towards World 3.0, represented by the acronym ADDING:
- Adding volume, (raw growth)
- Decreasing costs (through best-sourcing)
- Differentiating (adapting to distance sensitivity effects via localization)
- Improving industry attractiveness or bargaining power
- Normalizing (or optimizing) risk
- Generating and deploying knowledge (and other resources and capabilities).
I won’t attempt to summarize what the dimensions entail.
The Road to 3.0
Having debunked data-free globalization myths, and established something of a quantitative foundation on which to build in Part I, the book then turns to a series of common globalization themes, and attempts to look for the truth behind the rhetoric in each theme with numbers.
This is necessarily a dicey exercise, and given the hugely acrimonious debates around every single one of the themes, Ghemawat understandably adopts a conservative (in the academic sense), defensive approach. The themes he addresses, over several chapters, include: concentration, global externalities, global risks, global imbalances, global exploitation, oppression and homogenization.
While he suggests mechanisms to address concerns around each theme, Ghemawat’s primary objective is to attach numbers to each theme. For example, he counters the “global homogenization” criticism with the reframing that more diverse choices for everybody isn’t really homogenization. If people in all countries have access to each other’s cuisines in local restaurants, that is hardly homogenization. He manages to argue that such global diversification is ultimately going to be more important than McDonaldization.
After the tour of major themes, the book winds down with a rather weak prescriptive section in Part III. While some of the prescriptions are believable, (his proposals for mechanisms to contain global financial contagion events for instance), the rest amounts to somewhat wishful thinking, given the magnitude of the challenge posed in the beginning of the book (achieving a five-fold increase in world output by 2050, to support 9 billion people at a higher average standard of living than most of them enjoy today).
But he does manage to convince that increasing global integration and regulation is the only real path forward. Those who hope for innovation-driven growth to deliver all the increase in output necessary vastly overestimate the growth potential of innovation by itself. For Ghemawat’s prescription to work, we need both Schumpeterian and Smithian models of growth to continue. And this is assuming that the increased global regulation will happen. In an era when individual nations are struggling to resist regulatory capture by the business world and regulate even their domestic economies meaningfully, hoping for sufficient international regulation to enable safe global growth seems rather optimistic.
For my part, I don’t think the challenge can be met at all. Instead, we will find growth lagging population growth, a period of demographic fatigue and middle class collapse in many parts of the world (a decline where it already exists, and a stillborn failure to launch in other parts of the world), followed by a very slow recovery through a Dark Age that will probably last at least a half-century beyond 2050. Since I’ll be dead well before then, I can safely make this prediction.
One possible pattern that may emerge by 2050 is a division of the world into two zones. One where the world continues gingerly along its current World 1.5 path, swinging dangerously between 1.0 and 2.0, and another zone where we see a collapse back to somewhere between 0.0 and 1.0: failed states, and a forced return to local economics.
Thomas Barnett’s interesting map of the world postulates one such boundary between the zones. The “Core” might be Zone 1 and the “Non Integrating Gap” might be Zone 2 (image from New World Notes).
A Brief Note on Graeber’s Debt
Thanks to a skirmish in the comments of Part I, that I’d rather not continue, with a commenter who appears to be Graeber himself, I’ve decided not to review Debt after all. It’s a good book, but not worth that much trouble for me.
While I do have opinions on many of the questions raised in the book, a review is not the place to present them. I’ll save them for exploration within my own preferred frames of reference. I still think it is well-worth a read. There’s plenty of value there, and I’ll be citing some of the book’s ideas selectively in future posts.