Tag security studies

The Meaning of Military Expenditures II

In response to my last blog post I basically threw out a menu of possible conclusions. I received a very nicely thought out response to that post from Mike Johnson, which I felt was deserving its own blog post. His response is below (with his permission, of course):

With regard to the 20 April 2016 blog entry about military expenditures, I appreciated the list of possible conclusions and thought I would throw discussion points.

The comparison between US and other country defense spending is interesting, including the often mentioned statement that the US spends as much on defense as the next 10 countries combined.  I remember, from when I was in OPNAV N80 a couple of decades ago, that our NATO allies had twice as many active duty personnel and twice as many reservists as all the US Services combined. Yet, their combined defense budgets were less than what we were spending on our people in our military personnel and reserve personnel appropriations. Of course, back then Germany and France and many others still had conscription and less is usually spent on conscripts. But, it still leads to some serious questions about how to compare defense budgets when our allies could have twice the personnel and their total budgets were less than what we spent just on our personnel.  Several factors come into play. First, we have retirees being paid starting around age 40 or even earlier.  I don’t know of any other country that pays retirees before the mid-50s if not the 60s. Second, the retirement and a lot of the heath care are paid by other departments in most other governments, but in the US DoD pays into these programs.  Base pay for British military, by comparable grade, is actually more than in the US military; but we then add BAH and BAS on top (tax free); in the UK, the MOD subsidizes housing, but the serviceman has to pay a part. It isn’t clear whether the UK or the US serviceman of comparable grade has more “take home pay” so I don’t think the difference is that we pay our servicemen significantly more than other countries.

When it comes to Russia and China, in particular, conversions using market rates understate what is spent for most of the defense spending.  I had a colleague over the years–an expert on the Soviets–who would argue that Russian Federation soldiers had to be underfed, and suffering from malnutrition, because of the amount they were paid and given for meals.  I pointed out that meals certainly should use PPP and not market rates to convert and at the time the ratio between the two was about 7 (PPP converted into about 7 times as many US dollars compared with what market rates; it is less dramatic today but still to be of consideration). Anything internal to the Russian or Chinese economies should, in my opinion, use PPP for the exchange (which compares the cost of comparable items in each system).  This is particularly true of personnel pay, messing, accommodations, and most of logistics.  I am not sure about weapon systems. These are paid for internally, but they do have a connection to the outside world.

The way we count is different.  For example, funding is appropriated to the Services and to agencies in OSD as a top line that can be obligated.  How that is paid for may come from many sources including revenue collected by the Service.  In European budgets, we routinely see factors like total resource and then they subtract from that number expected receipts amounting to several percent of the budget.  In other words, they spend more because they can spend their revenues (such as payments made by service members for their housing) for whatever they want, but they are deducted from the top line used for comparison.

The US military does spend a lot more than any other country, despite the above factors.  Part of that is what it takes to maintain 6 regional combatant commands. Part of it is maintaining a constant level of forces around the world.  A war with most of our enemies is much more likely to be in their front yard and not ours.  We spend a lot on R&D and a lot on keeping equipment modern. And we spend a lot on training personnel.

PPP is purchasing power parity, which is a comparison between the currencies of two countries at which each currency when exchanged for the other will purchase the same quantity of goods as it purchases at home. So, for example, when the ruble dropped from 30 to 60 to a dollar, the Soviet defense budget suddenly did not really drop in half. So a direct comparison of exchange rates between countries often de-values the defense expenditures of less developed countries, where good and services are relatively cheap. Comparing countries based upon PPP tries to adjust for that.

The Meaning of Military Expenditures

My last post was a data dump without a conclusion. I probably need to add one, although I usually avoid providing opinions. There is no shortage of opinions in the American blogosphere and political landscape. I think a little less opinion and a little more data has value. If you want opinions, there are plenty of services out there who specialize in that, and from any perspective and viewpoint that you like.

From the previous Military Expenditures posting one could draw a number of conclusions:

  1. That the American allies in NATO and Asia are not carrying their weight…or…
  2. The threat from Russia and China is grossly overstated
    1. Russia’s defense expenditures are $51.6 billion while NATO (not including the U.S.) is around $300 billion.
    2. China’s defense expenditures are $145.8 billion (or is it $215 billion) while Japan, South Korea and Taiwan’s combined are $85 billion.
    3. The U.S. is spending $597.5 billion.
    4. …or….
  3. The U.S. is spending too much on defense.
    1. Beware of the “military-industrial complex?”
    2. …or….
  4. This is the cost of being the world leader (3.3% of GDP on defense)….or…
  5. The higher U.S. defense expenditures are certainly justified because:
    1. We are covering against Russia ($51.6 billion)
    2. We are covering against China ($145.8 billion)
    3. Then there is ISIL….and….
    4. Iraq, Afghanistan and Somalia
    5. We have other missions, like nuclear deterrence, that adds to our cost.
    6. We need to continue to develop and maintain our technological edge, and that costs money.
    7. …or….
  6. The U.S. is spending too much on the wrong things…or….
  7. Maybe defense budget is not really a good measurement of military power….or…
  8. Maybe Russia and China are getting more “bang for the buck” then the U.S. and its western allies….or…
  9. Whatever else I forgot to mention….or….
  10. Some or all of the above.

Anyhow, one could interpret the figures in my previous post a number of different ways depending on their own political leanings and biases.

And…..I still didn’t really add a conclusion.

Military Expenditures

The American political campaign has ended up discussing NATO recently, including one candidate who states that NATO is “obsolete.” The sense is that America’s allies are not pulling their weight. Let us just look at some comparative defense budgets for a moment. Most figures below are estimates for 2015 from the International Institute of Strategic Studies (IISS), a private UK based organization. I cannot vouch for their accuracy, but they have been doing this for a while.

United States: $597.5 Billion or 3.3% of GDP

Now, our NATO allies are spending much less. The big spender is the United Kingdom at 56.2 billion or 2% of their GDP. This is followed by Germany at 36.6 billion which is only 1.1% of their rather large GDP (largest economy in Europe). France is at 32.0 billion or 1.9% of their GDP (note that the SIPRI figures are much higher for France). Other large NATO countries include:

Turkey…..….22.6….2.2% (these are 2014 SIPRI figures)

Italy….…..….21.1….1.1%

Canada………14.0…..0.9%

Spain…………10.7…..0.9%

Poland…..…..10.3….2.1%

Netherlands…10.1.…1.2% (these are 2014 SIPRI figures)

Total NATO expenditures (not including United States) for 2014 was $310 billion (SIPRI figures). I gather it is now somewhat less. It was the goal once that every member of NATO spent 2% of their GDP on national defense. Many NATO members are far below that goal.

So, it would appear that the U.S. spending 3.3% of its GDP on defense, while no major country in NATO is spending much more than 2% of its GDP on defense. In contrast Russia is spending $51.6 billion or 4.1% of GDP. So certainly between England, Germany, France, Italy, Turkey, Spain, Poland and the Netherlands they are spending at least $195.2 billon on defense, which is almost four times what Russia is spending.

If one looks to the Pacific, one sees the same pattern. The United States spends 597.5 billion on defense or 3.3%. Our ally Japan spends 41.4 billion or 1.0% of GDP. South Korea, sitting opposite the very unstable and dangerous North Korea, spends 33.4 million on defense or 2.4% of GDP. Taiwan, still claimed as a province by China, spends 10.2 billion or 1.9% of GDP.

In contrast China is spending 145.8 billion on defense or 1.2% of its GDP.

 

Now these are mostly IISS figures, there are somewhat different figures provided by the Stockholm International Peace Research Institute (SIPRI). For example they have the U.S. budget figures at 596.0 (vice 597.5) but this makes up 3.9% of GDP (vice 3.3%). Not sure why there is such a big difference in the figures for percent of GDP. They have a much higher figure for China (215 billion at 1.9% of GDP), Russia (66.4 billion at 5.4% of GDP) and France (50.9 billion at 2.1% of GDP). They have a world total figure of 1,676 billion (of which the United States spending makes up 35.6%) while the IISS has a world total figure of 1,563 billion (of which the United States spending makes up 38.2%).

Of course, this does not address how much “bang for the buck” people are getting.

Screw Theory! We Need More Prediction in Security Studies!

Johnny Carson as Carnac the Magnificent; taken from the January 24, 2005 broadcast of The Tonight Show.
Johnny Carson as Carnac the Magnificent; taken from the January 24, 2005 broadcast of The Tonight Show.

My previous post touched on the apparent analytical bankruptcy underlying the U.S. government’s approach to counterterrorism policy. While many fingers were pointed at the government for this state of affairs, at least one scholar admitted that “the leading [academic] terrorism research was mostly just political theory and anecdotes” which has “left policy makers to design counterterrorism strategies without the benefit of facts.”

So what can be done about this? Well, Michael D. Ward, a Professor of Political Science at Duke University, has suggested a radical solution: test the theories to see if they can accurately predict real world outcomes. Ward recently published an article in the Journal of Global Security Studies (read it now before it goes behind the paywall) arguing in favor of less theory and more prediction in the fields of international relations and security studies.

[W]e need less theory because most theory is an attempt to rescue or adapt extant theory. We need more predictions in order to keep track of how well we understand the world around us. They will tell us how good our theories are and where we need better explanations.

As Ward explained,

[P]rediction is deeply embedded in the philosophy of science… The argument is that if you can develop models that provide an understanding—without a teleology of why things happen—you should be able to generate predictions that will not only be accurate, but may also be useful in a larger societal context.

Ward argued that “until very recently, most of this thread of work in security studies had been lost, or if not lost, at least abandoned.” The reason for this was the existence of a longstanding epistemological disagreement: “Many social scientists see a sharp distinction between explanation on the one hand and prediction on the other. Indeed, this distinction is often sharp enough that it is argued that doing one of these things cuts you out of doing the other.”

For the most part, Ward asserted, the theorists have won out over the empiricists.

[M]any scholars (but few others) will tell you that we need more theory. Doubtless they are right. Few of them really mean “theory” in the sense that I reserve for the term. Few of them mean “theory” in the sense of analytical narratives. Many of them mean “detailed, plausible stories” about how stuff occurs.

In light of the uncomfortable conclusion that more detailed, plausible stories about how stuff occurs does not actually yield more insight, Ward has adopted a decidedly contrarian stance.

I am here to suggest that less is more. Thus, let me be the first to call for less theory in security studies. We should winnow the many, many such “theories” that occupy the world of security studies.

Instead, we need more predictions.

He went on to detail his argument.

We need these predictions for four reasons. First, we need these predictions to help us make relevant statements about the world around us. We also need these predictions to help us throw out the bad “theories” that continue to flourish. These predictions will help drive our research into new areas, away from moribund approaches that have been followed for many decades. Finally, and perhaps most important, predictions will force us to keep on track.

But making predictions is only part of the process. Tracking them and accounting for their accuracy is the vital corollary to improving both accuracy and theory. As Ward pointed out, “One reason that many hate predictions is that talking heads make many predictions in the media, but few of them ever keep track of how well they are doing.” Most, in fact, are wrong; few are held accountable for it.

Of course, the use of empirical methods to predict the outcomes of future events animated much of Trevor N. Dupuy’s approach to historical analysis and is at the heart of what The Dupuy Institute carries on doing today. Both have made well-documented predictions that have also been remarkably accurate. More about those in the next post.

Greater Economic Backwardness and Revolution

An article in the History News Network got my attention

Greater economic backwardness

A few lines caught my attention:

  1. “For the first time the researchers found that the greater the development gap….the more likely a country has experienced non-violent and violent mass demonstrations for regime change…”
  2. “Events in the Arab Spring and in the Euro-Maidan demonstrations in the Ukraine, show that the frustrated desire to catch up with the frontier era can extend to the political sphere, particularly with repressive regimes.”

Well, this is probably very interesting work and I probably need to scare up a copy. The “for the first time” claim caught my attention in light of the work by Ted Gurr and Feierabend & Feierabend in the 1960s, which I am familiar with. I have posted on their work before. Of course, what Gurr and the Feierabends’ work showed was that (and this is paraphrasing from my memory):

  1. Poorer countries had more political violence that richer countries.
  2. Really poor countries had less political violence than developing countries (poor countries that are getting richer).
  3. Political violence went up when the economy went down.

The sense I have from the Gurr and Feierabend’s work is that the least stable countries are those that were developing economically and then stalled or went into recession. This, of course, is the scenario with Russia (and others like Venezuela) and possibly may become the scenario in China.

 

Wargaming the Defense of the Baltics

RAND Wargame
Source: David A. Shlapak and Michael Johnson. Reinforcing Deterrence on NATO’s Eastern Flank: Wargaming the Defense of the Baltics. Santa Monica, CA: RAND Corporation, 2016.

RAND has published a new report by analysts David A. Shlapak and Michael Johnson detailing their assessment of the threat to the Baltic republics of conventional invasion by Russian military forces. The conclusions of the study are sobering — that NATO could do little to prevent Russian military forces from effectively overrunning Latvia and Estonia in as few as 60 hours. Their analysis should provide plenty of food for thought.

Just as interesting, however, is that Shlapak and Johnson used old-style paper wargaming techniques to facilitate their analysis. The image above of their home-designed wargame above should warm the cockles of any Avalon Hill or SPI board wargame enthusiast of a certain age. As to why they chose this approach, they stated:

RAND developed this map-based tabletop exercise because existing models were ill-suited to represent the many unknowns and uncertainties surrounding a conventional military campaign in the Baltics, where low force-to-space ratios and relatively open terrain meant that maneuver between dispersed forces—rather than pushing and shoving between opposing units arrayed along a linear front—would likely be the dominant mode of combat.

While they did state that they used rules and tables governing movement and combat based on “offline modeling,” it is very curious that they did not find any of the many sophisticated Defense Department computer models and simulations available to be suitable for their task. They outline their methodology in an appendix, but promise to provide a fuller report at a later date.

Why Men Rebel?

In the 1960s, there were two big-budget quantitative historical studies conducted of the causes of revolution. One was by Ted Gurr of Princeton University and resulted in the 1970 book Why Men Rebel? The other similar effort was done by a husband and wife team of Ivo and Rosalind Feierabend out at San Diego State University. They published their data and results in a series of articles and in 1972 in a compilation book (Anger, Violence and Politics: Theories and Research). Ted Gurr’s work is much more widely known, although in the 1980s when I reviewed both of their works in depth, I found them to be similar and of equal quality.

Both Ted Gurr’s and the Feierabend’s work was based upon measuring political violence, which was a very relevant subject back in the 1960s. I believe that both projects were U.S. government funded. They both collected extensive data on violence in every county in the world in the post-WWII era (their data cut off was in the late 1960s) and created an index of political violence by country. They then built a multi-variant regression model to try to measure what causes those levels of violence.

Although they were completely separate and isolated efforts, using different data collections, they ended up pretty much reaching similar conclusions (much like what happened with my work and Andrew Hossack’s work). They were both cross-national studies that tried to determine the level of political violence in a country based on a range of factors. Like with any extensive quantitative analysis, there were a lot of elements and interesting findings in this work. But, they both put front and center a “relative deprivation” hypothesis of the causes of political violence (and/or rebellion). Basically, what this said was that if things are going well, and then they start going badly, this creates the highest chance for ‘regime change.”

So, for example, in their data sample the rich (or developed) countries tended to be very stable. Very poor countries (undeveloped) were less stable. But the least stable countries are those somewhere between rich and poor that are getting wealthier (what they called at the time developing countries). They tend to be stable when they are economically growing, but once the growth stops, they become unstable. If there is any validity to this hypothesis (and there certainly was using the twenty years of data from around 1948 to 1968), then this leads to me to wonder about the long-term stability of Russia and China.

A summary of Why Men Rebel is here: http://wikisum.com/w/Gurr:_Why_men_rebel. As the summery notes: “(3) “Progressive deprivation” [the J-curve]–expectations grow [we expect continued growth] and capabilities do to, but capabilities either don’t keep up or start to fall (pg 53)–modernization, depression in a growing country, or other change could cause this. [What he wrote in 1970 about this describes nicely what happened with the fall of the USSR.]”

It would be interesting, in light of almost 50 more years of data since they did their work, if someone took their regression models and ran the last 50 years of data through them to see how they did. I always like to see a little model validation (although this is rarely done).

Iraq/Syria Intervention Scenarios

There are a lot of potential variables to consider in developing a casualty estimate for a potential large-scale intervention. Senators John McCain and Lindsey Graham have floated various proposals to deploy 10,000 U.S. ground combat troops to both Iraq and Syria, with the most recent calling for 10,000 in Syria along with 10,000 Arab allies.

It is not clear if McCain, Graham, or Obama are assuming a U.S.-led ground offensive to be followed by the withdrawal of U.S. troops, or a ground offensive and an open-ended stability/peacekeeping mission. Nor is it clear if they assume an offensive against Daesh only or an attack on the Assad regime as well.

Potential ground offensive scenarios:

1. 10-20,000 U.S. advisors only in Iraq and Syria
2. 10,000 U.S. troops leading a ground offensive against Daesh in Iraq
3. 10,000 U.S. troops in Iraq and 10,000 U.S. troops in Syria leading a ground offensive against Daesh only
4. 10,000 U.S. troops in Syria and 10,000 Arab coalition troops leading a ground offensive against Daesh only
5. 10,000 U.S. troops in Syria and 10,000 Arab coalition troops leading a ground offensive against Daesh and the Assad regime

A long-term stability and support operation in Syria would almost certainly require more than 10,000 U.S. and 10,000 Arab coalition troops, even if it were confined to areas currently held by Daesh, and even more if extended into former Assad regime areas.