Book Review: Getting Better by Charles Kenny

Charles Kenny’s* book Getting Better has received quite a bit of attention in recent months, at least in part because Bill Gates decided to review it in the Wall Street Journal (up until that point, I thought I had a chance of outranking Charles on Amazon, but Gates’ positive review buried that hope).  The reviews that I have seen (for example here, here and here) cast the book as a counterweight to the literature of failure that surrounds development, and indeed Getting Better is just that.  It’s hard to write an optimistic book about a project as difficult as development without coming off as glib, especially when it is all too easy to write another treatise that critiques development in a less than constructive way.  It’s a challenge akin to that facing the popular musician – it’s really, really hard to convey joy in a way that moves the listener (I’m convinced this ability is the basis of Bjork’s career), but fairly easy to go hide in the basement for a few weeks, pick up a nice pallor, tune everything a step down, put on a t-shirt one size too small and whine about the girlfriend/boyfriend that left you.
Much of the critical literature on development raises important challenges to development practice and thought, but does so in a manner that makes addressing those challenges very difficult (if not intentionally impossible).  For example, deep (and important) criticisms of development anchored in poststructural understandings of discourse, meaning and power (for example, Escobar’s Encountering Development and Ferguson’s The Anti-Politics Machine) emerged in the early and mid-1990s, but their critical power was not tied in any way to a next step . . . which eventually undermined the critical project.  It also served to isolate academic development studies from the world of development practice in many ways, as even those working in development who were open to these criticisms could find no way forward from them.  Tearing something down is a lot easier than building something new from the rubble.
While Getting Better does not reconstruct development, its realistically grounded optimism provides what I see as a potential foundation for a productive rethinking of efforts to help the global poor.  Kenny chooses to begin from a realistic grounding, where Chapters 2 and 3 of the book present us with the bad news (global incomes are diverging) and the worse news (nobody is really sure how to raise growth rates).  But, Kenny answers these challenges in three chapters that illustrate ways in which things have been improving over the past several decades, from sticking a fork in the often-overused idea of poverty traps to the recognition that quality of life measures appear to be converging globally.  This is more than a counterweight to the literature of failure – this book is a counterweight to the literature of development that all-too-blindly worships growth as its engine.  In this book, Kenny clearly argues that growth-centric approaches to development don’t seem to be having the intended results, and growth itself is extraordinarily difficult to stimulate . . . and despite these facts, things are improving in many, many places around the world.   This opens the door to question the directionality of causality in the development and growth relationship: is growth the cause of development, or its effect?
Here, I am pushing Kenny’s argument beyond its overtly stated purpose in the book. Kenny doesn’t overtly take on a core issue at the heart of development-as-growth: can we really guarantee 3% growth per year for everyone forever?  But at the same time, he illustrates that development is occurring in contexts where there is little or no growth, suggesting that we can delink the goal of development from the impossibility of endless growth.  If ever there were a reason to be an optimist about the potential for development, this delinking is it.
I feel a great kinship with this book, in its realistic optimism.  I also like the lurking sense of development as a catalyst for change, as opposed to a tool or process by which we obtain predictable results from known interventions.  I did find Getting Better’s explanations for social change to rest a bit too heavily on a simplistic diffusion of ideas, a rather exogenous explanation of change that was largely abandoned by anthropology and geography back in the structure-functionalism of the 1940s and 50s.  The book does not really dig into “the social” in general.  For example, Kenny’s discussion of randomized control trials for development (RCT4D), like the RCT4D literature itself, is preoccupied with “what works” without really diving into an exploration of why the things that worked played out so well.  To be fair to Kenny, his discussion was not focused on explanation, but on illustrating that some things that we do in development do indeed make things better in some measurable way.  I also know that he understands that “what works” is context specific . . . as indeed is the very definition of “works.”  However, why these things work and how people define success is critical to understanding if they are just anecdotes of success in a sea of failure, or replicable findings that can help us to better address the needs of the global poor.  In short, without an exploration of social process, it is not clear from these examples and this discussion that things are really getting better.
An analogy to illustrate my point – while we have very good data on rainfall over the past several decades in many parts of West Africa that illustrate a clear downward trend in overall precipitation, and some worrying shifts in the rainy seasons (at least in Ghana), we do not yet have a strong handle on the particular climate dynamics that are producing these trends.  As a result, we cannot say for certain that the trend of the past few decades will continue into the future – because we do not understand the underlying mechanics, all we can do is say that it seems likely, given the past few decades, that this trend will continue into the future.  This problem suggests a need to dig into such areas as atmospheric physics, ocean circulation, and land cover change to try to identify the underlying drivers of these observed changes to better understand the future pathways of this trend.  In Getting Better (and indeed in the larger RCT4D literature), we have a lot of trends (things that work), but little by way of underlying causes that might help us to understand why these things worked, whether they will work elsewhere, or if they will work in the same places in the future.
In the end, I think Getting Better is an important counterweight to both the literature of failure and a narrowly framed idea of development-as-growth.  My minor grumbles amount to a wish that this counterweight was heavier.  It is most certainly worth reading, and it is my hope that its readers will take the book as a hopeful launching point for further explorations of how we might actually achieve an end to global poverty.
 
*Full disclosure: I know Charles, and have had coffee with him in his office discussing his book and mine.  If you think that somehow that has swayed my reading of Getting Better, well, factor that into your interpretation of my review.


Vacating our terms: What is a MIC anyway?

I had the good fortune to be invited to a presentation by Andy Sumner at the Center for Global Development on Thursday – a senior staff lunch presentation, actually.  So CGD was very kind in having me along.  I really enjoyed the atmosphere – it was nice to be back around a room full of very smart people who spend a lot of time thinking about the issue of development, and who clearly enjoy pushing each other and the ideas in the room.  Andy had a small novel’s worth of comments to consider by the end, but it was a really constructive pile of ideas.
Andy has come to a bit of fame recently for pointing out that what Collier called The Bottom Billion, really poor people more or less trapped in a few dozen very poor countries, no longer really works to describe the world (his paper is here).  If that bottom billion existed in the late 1990s when Collier was writing, today it seems that there is a new bottom billion, living in middle income countries (MICs) – indeed, the majority of the very poor globally are found in MICs.  The discussion around the presentation focused on everything from issues of data and method that led to this conclusion to wider policy concerns about whether or not this shift signals the end of grant-based aid because it will be politically infeasible to give (as opposed to lend) money to middle income countries (some of which have large cash reserves) for poverty alleviation – that aid to the very poor will have to shift to market-based lending.
I walked away from the presentation and discussion struck by something else: the term Middle Income Country is pointless.  If Angola is a middle income country, and Ghana is about to be reclassified as such because of its new oil revenues, we might as well just chuck the typology.  While GINI data (a measure of income inequality within a country) is tough to come by right now, it seems to me that a lot of the countries that have recently made the jump to middle income, yet still house a tremendous number of the “bottom billion” (i.e. India, China, Nigeria, and Indonesia), are clearly making that jump by enhancing inequality within their borders.  This means that the basis for this shift in classification is not widespread through the country or its population – which opens up another question that is analytically crucial to understanding the likely future for aid to the poorest of the poor: on what basis did these countries make the jump to middle income status, what is the current structure of the economy, and to what is that jump, and the current economy, vulnerable.  The impetus for aid grants disappears only if we assume that the gains made by these countries are widespread through the population and robust enough to withstand pressures and shocks that might push them back to low income status.  I have my serious doubts that many places making the jump and becoming MICs can say either with confidence – climate change and a tightly interlinked global economy will challenge many of these economies in significant ways that will compromise their abilities to address the needs of the poorest within their borders.  However, without addressing the needs of this portion of the population these countries will put their social, economic and environmental futures at risk.  Now, perhaps more than ever, we need to be focused on fostering safety and certainty for the world’s most vulnerable, to ensure that a country making the jump to MIC status has achieved something meaningful and durable.

Challenging development dogma

On his blog Shanta Devarajan, the World Bank Chief Economist for Africa, has a post discussing the debate about the performance and results of the Millennium Villages Project (MVP).  The debate, which takes shape principally in papers by Matt Clemens and Gabriel Demombynes of Center for Global Development and Paul Pronyk, John McArthur, Prabhjot Singh, and Jeffrey Sachs of the Millennium Villages Project, questions how the MVP is capturing the impacts of its interventions in the Millennium Villages.  As Devarajan notes, the paper by Clemens and Demombynes rightly notes that the MVP’s claims about its performance are not really that clearly framed in evidence, which makes it hard to tell how much of the changes in the villages can be attributed to their work, and how much is change driven by other factors.  Clemens and Demombynes are NOT arguing that the MVP has had no impact, but that there are ways to rigorously evaluate that impact – and when impact is rigorously evaluated, it turns out that the impact of MVP interventions is not quite as large as the project would like to claim.
This is not all that shocking, really – it happens all the time, and it is NOT evidence of malfeasance on the part of the MVP.  It just has to do with a simple debate about how to rigorously capture results of development projects.  But this simple debate will, I think, have long-term ramifications for the MVP.  As Devarajan points out:

In short, Clemens and Demombynes have undertaken the first evaluation of the MVP.  They have shown that the MVP has delivered sizeable improvements on some important development indicators in many of the villages, albeit with effects that are smaller than those described in the Harvests of Development paper.  Of course, neither study answers the question of whether these gains are sustainable, or whether they could have been obtained at lower cost.  These should be the subject of the next evaluation.

I do not, however, think that this debate is quite as minor as Devarajan makes it sound – and he is clearly trying to downplay the conflict here.  Put simply, the last last two sentences in the quote above are, I think, what has the MVP concerned – because the real question about MVP impacts is not in the here and now, but in the future.  While I have been highly critical of the MVP in the past, I am not at all surprised to hear that their interventions have had some measurable impact on life in these villages.  The project arrived in these villages with piles of money, equipment and technical expertise, and went to work.  Hell, they could have simply dumped the money (the MVP is estimated to cost about $150 per person per year) into the villages and you would have seen significant movement in many target areas of the MVP.  I don’t think that anyone doubts that the project has had a measurable impact on life in all of the Millennium Villages.
Instead, the whole point here is to figure out if what has been done is sustainable – that is the measure of performance here.  Anyone can move the needle in a community temporarily – hell, the history of aid (and development) is littered with such projects.  The hard part is moving the needle in a permanent way, or doing so in a manner that creates the processes by which lasting change can occur.  As I have argued elsewhere (and much earlier that in this debate), and as appears to be playing out on the ground now, the MVP was never conceptually framed in a way that would bring about such lasting changes.  Clemens and Demombynes’ work is important because it provides an external critique of the MVP’s claims about its own performance – and it is terrifying to at least some in the MVP, as external evaluations are going to empirically demonstrate that the MVP is not, and never was, a sustainable model for rural development.
While I would not suggest that Clemens and Demombynes’ approach to evaluation is perfect (indeed, they make no such claim), I think it is important because it is trying to move past assumptions to evidence.  This is a central call of my book – the MVP is exhibit A of a project founded on deeply problematic assumptions about how development and globalization work, and framed and implemented in a manner where data collection and evaluation cannot really question those assumptions . . . thus missing what is actually happening (or not happening) on the ground.  This might also explain the somewhat non-responsive response to Clemens and Demombynes in the Pronyk et al article – the MVP team is having difficulty dealing with suggestions that their assumptions about how things work are not supported by evidence from their own project, and instead of addressing those assumptions, are trying to undermine the critique at all costs.  This is not a productive way forward, this is dogma.  Development is many things, but if it is to be successful by any definition, it cannot be dogmatic.

Measurement matters . . .

Todd Moss at the Center for Global Development has a post about Ghana and the Millennium Challenge Corporation (MCC).  Overall, he makes some good points about the purpose of MCC compacts, and whether or not it makes sense to re-up with Ghana in 2012 for a second compact.  While Moss makes a number of good points in his post (including the fact that Ghana has a lot of capital incoming from oil, and a ready market for its debt, both of which seem to negate the need for continued grants), I was brought up short by one stunning statement:

Ghana is (suddenly) just barely “low income”.  A recent rebasing of its GDP found the country was 63% richer than everyone thought.  Ghana might still technically qualify for the MCC but the rationale for another huge compact drops pretty significantly.

Now, to be fair to Moss, he has an excellent post here on the implications of such rebasing.  Importantly, the second lesson he takes away from this sudden revaluation of Ghana’s economy is:

Boy, we really don’t know anything. Over the past thirty years Ghana has been one of the most scrutinized, measured, studied, picked-over economies in Africa. (yes, I too did my PhD on Ghana…) Yet, we were all taking as gospel a number that was off by a tremendous margin. If we are nearly two-thirds wrong on Ghana’s GDP, what hope can we possibly have in stats for Chad? Everyone knows that data is dubious, but this seems to add a whole new level of doubt.

His fourth point is closely related:

I’m still confused… but it probably doesn’t matter. The Reuters article quotes the government statistician as estimating GDP per capita at $1318 instead of $753. This doesn’t add up to the total GDP figures also given since this implies a 75% increase. If the $1318 is correct, then that either implies that the government thinks there are only 19.4 million people instead of the normal estimates of about 24 million. Or, if the total GDP number of $25.6 billion is right, then per capita GDP is really $1067 per capita. (I think I’m already violating my lesson from #2.)

I have a chapter in my book dedicated to understanding why our measurements of the economy and environment in the Global South are mostly crap, and even when the data is firm it often does not capture the dynamics we think it does.  I then spend a few chapters suggesting what to do about it (including respatializing data/data collection so that it can be organized into spatial units that have social, economic, and ecological meaning, and using basic crowdsourcing techniques to both collect data and ground truth of existing statistics).  Even better, this is rooted in a discussion of Ghana’s economy.  I give Moss credit for being willing to point out the confusing numbers, and acknowledge that they confuse him.  They should.
But Moss gets it totally wrong here:

Ghana has long aspired to be a middle-income country by 2020, and this now seems like it will happen many years early. Accra certainly feels like a middle-income city.

This statement explains how he can label Ghana “barely low-income”, even after he has called the very statistics that make such a claim possible into question: he’s focused on Accra.  Accra has very little to do with how the bulk of the Ghanaian population lives – and most of that population is very, very poor.  Ghana is not barely low income – it is still quite low income, with some pockets of extreme wealth starting to distort the national statistics.  It doesn’t matter how Accra feels – that city is home to at best 10% of the population.  Kumasi is home to between 5-8% more.  Generously including Tamale and Takoradi in the middle-income city categories (this is very generous) nets you probably 25% of the population – nobody else is living in a middle income country.  Like Moss, I did my dissertation work in Ghana.  I still work there.  The difference is that I did my work in rural villages, and still do.  $1 a day beyond subsistence is a common income in the rural areas of the Central Region, even now – and the Central Region has a lot more infrastructure than most of the Northern, Upper East and Upper West Regions.  This population remains poorly educated – failed by poor rural schools.  They cannot support a transformation of the Ghanaian economy.  Most of Ghana is still a very low income country, not ready for any sort of sustained economic growth.  The country has seen enormous success in recent years – I am stunned by what I have seen in the past 13 years – but the fruits of that success are not distributed evenly.  While the cities have boomed, the villages are nearly unchanged.  This is Ghana’s new challenge – to spread this new wealth out and foster a diverse, resilient economy.
This is not to say that an MCC compact is the right tool to foster this, or that Ghana is the best place to be putting MCC money.  However, declaring “success” too soon creates its own set of risks – let’s use some nuance when considering how a country is doing, so we can identify the real challenges to overcome and successes to build on moving forward.

Are we really that bad?

So, the Center for Global Development, a non-partisan think tank focused on reducing poverty and making globalization work for the poor (a paraphrase of their mission statement, which can be found here), has issued a report that more or less says that USAID’s quality and effectiveness of aid is very low when compared to other agencies.
Well, I’m not all that freaked out by this assessment, principally because it fails to ask important questions relevant to understanding development needs and development outcomes.  In fact, the entire report is rigged – not intentionally, mind you, but I suspect out of a basic ignorance of the difference between the agencies being evaluated, and an odd (mis)understanding of what development is.
For me, the most telling point in the report came right away, on pages 3 and 4:

Given these difficulties in relating aid to development impact on the ground, the scholarly literature on aid effectiveness has failed to convince or impress those who might otherwise spend more because aid works (as in Sachs 2005) or less because aid doesn’t work often enough (Easterly 2003).

Why did this set me off?  Well, in my book I argue that the “poles” of Sachs and Easterly in the development literature are not poles at all – they operate from the same assumptions about how development and globalization work, and I just spent 90,000 words worth of a book laying out those assumptions and why they are often wrong.  In short, this whole report is operating from within the development echo chamber from which this blog takes its name.  But then they really set me off:

In donor countries especially, faced with daunting fiscal and debt problems, there is new and healthy emphasis on value for money and on maximizing the impact of their aid spending.

Folks, yesterday I posted about how the desire to get “value for our money” in development was putting all the wrong pressures on agencies . . . not because value is bad, but because it puts huge pressures on the development agencies to avoid risk (and associated costs), which in turn chokes off innovation in their programs and policies.  And here we have a report, evaluating the quality of aid (their words) in terms of its cost-effectiveness.  One of their four pillar analyses is the ability of agencies to maximize aid efficiency.  This is nuts.
Again, its not that there should be no oversight of the funds or their uses, or that there should be no accountability for those uses.  But to demand efficiency is to largely rule out high risk efforts which could have huge returns but carry a significant risk of failure.  Put another way, if this metric was applied to the Chilean mine rescue, then it would score low for efficiency because they tried three methods at once and two failed.  Of course, that overlooks the fact that they GOT THE MINERS OUT ALIVE.  Same thing for development – give me an “inefficient” agency that can make transformative leaps forward in our understandings of how development works and how to improve the situation of the global poor over the “efficient” agency that never programs anything of risk, and never makes those big leaps.
Now, let’s look at the indicators – because they tell the same story.  One of the indicators under efficiency is “Share of allocation to well-governed countries.”  Think about the pressure that places on an agency that has to think about where to set up its programming.  What about all of the poor, suffering people in poorly-governed countries?  Is USAID not supposed to send massive relief to Haiti after an earthquake because its government is not all we might hope?  This indicator either misses the whole point of development as a holistic, collaborative process of social transformation, or it is a thinly-veiled excuse to start triaging countries now.
They should know better – Andrew Natsios is one of their fellows, and he has explained how these sorts of evaluation pressures choke an agency to death.  Amusingly, they cite this work in here . . . almost completely at random on page 31, for a point that has no real bearing on that section of the text.  I wonder what he thinks of this report . . .
In the end, USAID comes out 126th of 130 agencies evaluated for “maximizing efficiency.”  Thank heavens.  It probably means that we still have some space to experiment and fail left.  Note that of the top 20% of donors, the highest scores went to the World Bank and UN Agencies, arguably the groups that do the least direct programming on the ground – in other words, the “inefficiencies” of their work are captured elsewhere, when the policies and programs they set up for others to run begin to come apart.  The same could be said of the Millennium Challenge Corporation here in the US, which also scored high.  In other words, they are rewarding the agencies that don’t actually do all that much on the ground for their efficiency, while the agencies that actually have to deal with the uncertainties of real life get dinged for it.
And the Germans ended up ranking high, but hey, nothing goes together like Germans and efficiency.  That one’s for you, Daniel Esser.
What a mess of a report . . . and what a mess this will cause in the press, in Congress, etc.  For no good reason.

Jeff Sachs, please shut up (redux)

The Center for Global Development becomes the latest to figure out that the Millennium Villages are not producing meaningful information about their accomplishments . . . because they are not working.  I’m not a huge fan of finding new metrics to test this argument – the simple fact is this: when a project stops releasing its data, you can pretty much be assured the data is not telling the story they want.  But then, this was all completely predictable.
Folks, Jeff Sachs won’t learn anything until you stop paying attention to him and he is forced to consider why nobody is listening anymore.  Do it for him, if not for the global poor.