Entries tagged with “Climate Change”.


Over at HURDLblog, Daniel Abrahams has a provocative post on the persistent failure of environmental conservation efforts in the policy world – especially efforts to address climate change and its impacts. He wonders aloud how we can build proactive conservation policies when politics are most easily mobilized around the visible symptoms of failing conservation, such as an environmental disaster or new infrastructure like the Keystone XL pipeline, but do not seem to mobilize around addressing the underlying causes of those symptoms. As he says,

a ‘win’ in Keystone is almost like a carbon-based slight of hand – misdirection from the unrelenting yet hard-to-define social, economic, and political factors that steadily drive environmental degradation.

Brutal, but probably accurate. The whole post is here.

Andy Sumner was kind enough to invite me to provide a blog entry/chapter for his forthcoming e-book The Donors’ Dilemma: Emergence, Convergence and the Future of Aid. I decided to use the platform as an opportunity to expand on some of my thoughts on the future of food aid and food security in the context of a changing climate.

My central point:

By failing to understand existing agricultural practices as time-tested parts of complex structures of risk management that include concerns for climate variability, we overestimate the current vulnerability of many agricultural systems to the impacts of climate change, and underestimate the risks we create when we wipe these systems away in favor of “more efficient”, more productive systems meant to address this looming global food crisis.

Why does this matter?

In ignoring existing systems and their logic in the name of addressing a crisis that has not yet arrived, development aid runs a significant risk of undermining the nascent turn toward addressing vulnerability, and building resilience, in the policy and implementation world by unnecessarily increasing the vulnerability of the poorest populations.

The whole post is here, along with a number of other really interesting posts on the future of aid here. Head over and offer your thoughts…

I’ve always been a bit skeptical of development programs that claim to work on issues of environmental governance. Most donor-funded environmental governance work stems from concerns about issues like sustainability and climate change at the national to global scale. These are legitimate challenges that require attention. However, such programs often strike me as instances of thinking globally, but implementing locally (and ideally someplace else). You see, there are things that we in the wealthiest countries should be doing to mitigate climate change and make the world a more sustainable place. But they are inconvenient. They might cost us a bit of money. They might make us do a few things differently. So we complain about them, and they get implemented slowly, if ever.

Yet somehow we fail to see how this works in exactly the same manner when we implement programs that are, for example, aimed at the mitigation of climate change in the Global South. These programs tend to take away particular livelihoods activities and resources (such as cutting trees, burning charcoal, or fishing and hunting particular species), which is inconvenient, tends to reduce household access to food and income, and forces changes upon people – all of which they don’t really like. So it is sort of boggling to me that we are surprised when populations resist these programs and projects.

I’m on this topic because, while conducting preliminary fieldwork in Zambia’s Kazungula District last week, I had yet another experience of this problem. In the course of a broad conversation on livelihoods, vulnerabilities, and opportunities in his community, a senior man raised charcoal production as an alternative livelihood in the area (especially in the dry season, when there is little water for gardening/farming and no nearby source of fishing). Noting that charcoal production was strictly limited for purposes of limiting the impacts of climate change*, a rationale whose legitimacy he did not challenge, he complained that addressing the issue of charcoal production is not well understood or accepted by the local population. He argued that much of the governance associated with this effort consisted of agents of the state telling people “it’s an offense” and demanding they stop cutting trees and burning charcoal without explaining why it is an offense. He then pointed to one of his sons and said “how can you tell him ‘don’t cut this tree’? And his fields are flooding [thus destroying his crops, a key source of food and income].” But the quote that pulled it all together…

“Don’t make people be rude or be criminals. Give them a policy that will open them.”

The text is clear here: if you are going to take away a portion of our livelihoods for the sake of the environment, please give us an alternative so we can comply. This is obvious – and yet to this point I think the identification and implementation of alternative livelihoods in the context of environmental governance programs is, at best, uneven.

But the subtext might be more important: If you don’t give us an alternative, you make us into criminals because we will be forced to keep practicing these now-banned activities. And when that happens, we will never view the regulations or those that enforce them as legitimate. In other words, the way we tend to implement environmental governance programming undermines the legitimacy of the governance structures we are trying to put in place.

Oops.

The sad part is that there have been innumerable cases of just the phenomena I encountered last week at other times and in other places. They’ve been documented in reports and refereed publications. Hell, I’ve heard narratives like this in the course of my work in Ghana and Malawi. But environmental governance efforts continue to inadequately explain their rationales to the populations most affected by their implementation. They continue to take away livelihoods activities from those that need them most in the name of a greater good for which others pay no tangible price. And they continue to be surprised when people ignore the tenets of the program, and begin to question the legitimacy of any governance structure that would bring such rules into effect. Environmental governance is never going to work if it is the implementation of a “think globally, implement locally (ideally someplace else)” mentality. It has to be thought, understood, and legitimized in the place it will be implemented, or it will fail.

 

 

* Yes, he really said that, as did a lot of other people. The uniformity of that answer strikes me as the product of some sort of sensitization campaign that, to be honest, is pretty misplaced. There are good local environmental reasons for controlling deforestation, but the contribution of charcoal production to the global emissions budget is hilariously small.

Over the past year, I’ve been working with Mary Thompson (one of my now-former students – well done, Dr. Thompson) on a report for USAID that explores how the Agency, and indeed development more broadly, approaches the issue of gender and adaptation in agrarian settings. The report was an idea that was hatched back when I was still at USAID. Basically, I noticed that most gender assessments seemed to start with a general “there are men, and there are women, and they are different, so we should assess that” approach. This binary approach is really problematic for several reasons.

  • First, not all women (or men) are the same – a wealthy woman is likely have different experiences and opportunities than a poor woman, for example. Lumping all women together obscures these important differences.
  • Second, different aspects of one’s identity matter more or less, depending on the situation. To understand the decisions I make in my daily life, you would have to account for the fact that sometimes my decisions are shaped by the fact I am professor (such as when I am in the classroom), and other times where what I do is influenced by my role as a father. In both cases, I am still a man – but I occupy two different identity spaces, where my gender might not be as important as my profession or my status as a (somewhat) responsible adult in the house.
  • Third, this approach assumes that there are gendered differences in the context of adaptation to climate change and variability in all situations. While there are often important gendered differences in exposure, sensitivity, and adaptive capacity in relation to the impacts of climate change and variability, this is not always the case.

My colleagues in both the Office of Gender Equality and Women’s Empowerment (GENDEV) and the Office of Global Climate Change agreed that these issues were problematic. They enthusiastically supported an effort to assess the current state of knowledge on gender and adaptation, and to illustrate the importance of doing gender differently through case studies.

Mary and I reviewed the existing literature on gender and adaptation in agrarian settings, exploring how the issue has been addressed in the past. We also focused on a small emerging literature in adaptation that takes a more productive approach to gender that acknowledges and wrestles with the fact that gender roles really take much of their meaning, responsibilities, and expectations from the intersection of gender and other social categories (especially age, ethnicity, and livelihood/class). You can find a first version of this review in the annex of the report. However, Mary and I substantially revised and expanded this literature review for an article now in press at Geography Compass. A preprint version is available on the preprints page of my website.

The bulk of the report – and the part probably of greatest interest to most of my readers – are three case studies that empirically illustrate how taking a binary approach to gender makes it very difficult to identify some of the most vulnerable people in a given place or community, and therefore very different to understand their particular challenges and opportunities. These cases are drawn from my research in Ghana and Mali, and Mary’s dissertation work in Malawi. They make a powerful case for doing gender assessments differently.

This report is not the end of the story – my lab and I are still working with GENDEV and the Office of Global Climate Change at USAID, now identifying missions with adaptation projects that will allow us to implement parallel gender assessments taking a more complex approach to the issue. We hope to demonstrate to these missions the amount of important information generated by this more complex approach, show that greater complexity does not have to result in huge delays in project design or implementation, and ideally influence their project design and implementation such that these projects result in better outcomes.

More to come…

There is a lot of hue and cry about the issue of loss and damage at the current Conference of the Parties (COP-19). For those unfamiliar with the topic, in a nutshell the loss and damage discussion is one of attributing particular events and their impacts on poorer countries to climate variability and change that has, to this point, been largely driven by activities in the wealthier countries. At a basic level, this question makes sense and is, in the end, inevitable. Those who have contributed the most (and by the most, I mean nearly all) to the anthropogenic component of climate change are not experiencing the same level of impact from that climate change – either because they see fewer extreme events, more attenuated long-term trends, or simply have substantially greater capacity to manage individual events and adapt to longer-term changes. This is fundamentally unfair. But it is also a development challenge.

The more I work in this field, and the more I think about it, the more I am convinced that the future of development lies in creating the strong, stable foundations upon which individuals can innovate in locally-appropriate ways. These foundations are often tenuous in poorer countries, and the impacts of climate change and variability (mostly variability right now) certainly do not help. Most agrarian livelihoods systems I have worked with in sub-Saharan Africa are massively overbuilt to manage climate extremes (i.e. flood or drought) that, while infrequent, can be catastrophic. The result: in “good” or “normal” years, farmers are hedging away very significant portions of their agricultural production, through such decisions as the siting of farms, the choice of crops, or the choice of varieties. I’ve done a back-of-the-envelope calculation of this cost of hedging in the communities I’ve worked with in Ghana, and the range is between 6% and 22% of total agricultural production each year. That is, some of these farmers are losing 22% of their total production because they are unnecessarily siting their fields in places that will perform poorly in all but the most extreme (dry or wet) years. When you are living on the local equivalent of $1.25/day, this is a massive hit to one’s income, and without question a huge barrier to transformative local innovations. Finding ways to help minimize the cost of hedging, or the need for hedging, is critical to development in many parts of the Global South.

Therefore, a stream of finance attached to loss and damage could be a really big deal for those in the Global South, something perhaps as important as debt relief was to the MDRI countries. We need to sort out loss and damage. But NOT NOW.

Why not? Simply put, we don’t have the faintest idea what we are negotiating right now. The attribution of particular events to anthropogenic climate change and variability is inordinately difficult (it is somewhat easier for long-term trends, but this has its own problem – it takes decades to establish the trend). However, for loss and damage to work, we need this attribution, as it assigns responsibility for particular events and their costs to those who caused those events and costs. Also, we need means of measuring the actual costs of such events and trends – and we don’t have that locked down yet, either. This is both a technical and a political question: what can we measure, and how should we measure it is a technical question that remains unanswered. But what should we measure is a political question – just as certain economic stimuli have multiplier effects through an economy, disasters and long-term degradation have radiating “multipliers” through economies. Where do we stop counting the losses from an event or trend? We don’t have an answer to that, in part because we don’t yet have attribution, nor do we have the tools to measure costs even if we had attribution.

So, negotiating loss and damage now is a terrible idea. Rich countries could find themselves facing very large bills without the empirical evidence to justify the size of the bills or their responsibility for paying them – which will make such bills political nonstarters in rich countries. In short, this process has to deliver a bill that everyone agrees should be paid, and that the rich countries agree can be paid. At the same time, poorer countries need to be careful here – because we don’t have strong attribution or measurements of costs, there is a real risk that they could negotiate for too little – not enough to actually invest in the infrastructure and processes needed to ensure a strong foundation for local innovation. Either outcome would be a disaster. And these are the most likely outcomes of any negotiation conducted in blindly.

I’m glad loss and damage is on the table. I hope that more smart people start looking into it in their research and programs, and that we rapidly build an evidence base for attribution and costing. That, however, will take real investment by the richest countries (who can afford it), and that investment has not been forthcoming.  If we should be negotiating for anything right now, it should be for funds to push the frontiers of our knowledge of attribution and costing so that we can get to the table with evidence as soon as humanly possible.

I’ve been off the blog for a while now. OK, about two months, which is too long. The new semester, and a really large number of projects, has landed on me like an avalanche. I have a small lab that I now manage (the Humanitarian Response and Development Lab, HURDL), and while I am fortunate to have a bunch of really good students in that lab, I’ve never run a lab before (nor have I ever worked in someone else’s lab before). So figuring out how best to manage projects and personnel is a new challenge that eats up time. As I told my students, this is not a fully operational, efficient program that they have joined. It’s more like a car that has stalled, and every day I am pushing it along screaming “pop the clutch” at whoever is in the driver’s seat.  To follow the metaphor, there are a lot of fits and starts right now, but things are coming together.  Among them:

  • A report on gender and adaptation in agrarian settings for USAID’s Office of Gender Equality and Women’s Empowerment and the Office of Global Climate Change which, through both literature review and empirical example, is a first step toward thinking about and implementing much more complex ideas about gender in project design and evaluation. This report will spawn several related journal articles. Watch this space for both activities and publications.
  • A long-awaited report offering a detailed, if preliminary, assessment of the Mali Meteorological Service’s Agrometeorological Advisory Program. I started this project before I left USAID, but it is finally coming together. Again, a set of journal articles will come from this – our empirical basis alone is absurd (720 interviews, 144 focus groups, 36 villages covering most of Southern Mali).  There are going to be a lot of interesting lessons for those interested in providing weather and climate information to farmers in this report…
  • A white paper/refereed article laying out how to implement the Livelihoods as Governmentality (LAG) approach that I presented in this article earlier this year. It is one thing to present a reframing of livelihoods decision-making and the livelihoods approach, and another to make it implementable. One of my students and I piloted this approach over the summer in Senegal, and we are pulling it together for publication now.  This will become the core of some trainings that we are likely to be doing in 2014 as we start building capacity in various countries to conduct detailed livelihoods analyses that might inform project design.

Then there is work in Zambia with the Red Cross on anticipatory humanitarian assistance (focused on hydrometeorological hazards), and a new project as part of a rather huge consortium looking at migration as an adaptation strategy in deltas in several parts of the world.

Did I mention that it’s a small lab – me and three other students working on all of this? Yeah, we’re a little short-staffed. I’m supposed to have a postdoc/research associate on board to help as well, but there have been some contract challenges that have prevented me from advertising the position. I hope to have that out some time in the next month or two, ideally to bring someone on for a year, extendable if the funding comes through.  So if you are interested in gender and some combination of development, climate change adaptation, and disaster risk reduction/humanitarian assistance, and want to join a really outstanding group of people wired in to a lot of donors and partners, and working on projects that bring critical scholarship to the ground, let me know…

So that’s where I’ve been hiding. I am crawling out from under the rock, and hope to rejoin the blogosphere in a more active capacity in coming weeks. Thanks for your patience…

So, climate change and conflict is back in the media, seemingly with the strength of science behind it.  I’ve been a rather direct, harsh critic of some work on this connection before, at least in part because I am deeply concerned that work on this subject (which remains preliminary) might disproportionately influence policy decisions in unproductive or even problematic directions (i.e. by contributing to the unnecessary militarization of development aid and humanitarian assistance).  So, when CNN, the Guardian, and other media outlets jumped on a new paper in Science (sorry, paywalled) last week, and one of the authors was responsible for the paper I critiqued so harshly before, I felt compelled to read it – especially after seeing Keith Kloor’s great post on the issue. After reading it, I feel compelled to comment on it.

My response is lengthy, so for those on a time budget, I offer some takeaway points. The main post, with details, follows.

Takeaway points

  • The Hsaing, et al paper in Science makes claims that are much more nuanced than what is represented either in the press releases from Princeton and Berkeley, or in many of the media stories (especially the big outlets) about them.
    • The actual findings of the paper simply reiterate long-held understandings of the connection between climate change and conflict
    • These findings are, in summary:
      • The climate affects many arenas, including food supplies, markets, and employment. The climate affects each of these in different ways in different places.
      • Climate-related changes in one or more of those arenas could (but do not always) affect rates of conflict
      • Even when climate-related changes to these arenas do provoke conflict, the provocation can occur in any number of locally-specific ways
      • Therefore, all we can really say is that climate change might affect rates of conflict in different ways in different places in the future
    • We already knew all of this
      • The authors’ claims (as stated in this press release from Princeton) that this study was necessary to establish a causal relationship between changing climate conditions and conflict is based on a straw man of “people” who have been skeptical of “an individual study here or there.”
      • Much of the literature, and those working on this issue, have long accepted the idea of a complex link between changing climate/weather conditions and conflict. The real question is that of how climate variability and change contribute to rates of conflict.
      • The paper does not answer this question
  • The quantification of increased risk of conflict in the paper is problematic, as the authors appear to assume a constant relationship, year-to-year or season-to-season, between climate conditions and their influence on various drivers of conflict.
    • This assumption has long been discarded in studies of food security and famine
    • This assumption likely introduces significant margins of error to the findings of this paper regarding increased risk of conflict associated with climate change
  • The paper does not address the real research frontier in the study of conflict and climate change because it does not further our understanding of how climate variability and change result in increased risk of conflict
    • To the author’s credit, the paper does not purport to explain how observed climate variability and change are translated into conflict
    • The paper merely summarizes existing literature exploring this issue
    • The findings of the paper do not present an opportunity to adjust policy, programs, or diplomacy to avoid future conflicts, as they do not identify specific issues that should be addressed by such efforts.
    • To some extent, this makes the critique under #2 above irrelevant – the “risk of conflict” figures were never actionable anyway
  • Media coverage of this paper amounts to much ado about nothing new

 

Main Post

The Hsaing, et al paper bears little resemblance to the media stories written about it. It makes very measured, fairly contained claims about climate change and conflict that, if represented accurately in the media, probably would not have made for interesting stories. That said, the article deserves critical attention on its own terms so we can understand what, if any, new information is here.

First, I want to start with the good in this paper. This is a substantially more careful paper than the one I critiqued before, both with regard to its attention to existing work on the subject and to the claims it makes about the connections between climate change and conflict. The authors deserve credit for noting the long history of qualitative work on conflict and the environment, a literature often ignored by those conducting large, more quantitative studies. They also should be commended for their caution in identifying causal relationships, instead of basic correlations.

In my opinion, this much more measured approach to thinking about climate change and conflict has resulted in more nuanced claims. First, as the authors note:

“Social conflicts at all scales and levels of organization appear susceptible to climatic influence, and multiple dimensions of the climate system are capable of influencing these various outcomes.”

But later in the paper, the authors temper this point:

“However, it is not true that all types of climatic events influence all forms of human conflict or that climatic conditions are the sole determinant of human conflict. The influence of climate is detectable across contexts, but we strongly emphasize that it is only one of many factors that contribute to conflict.”

And in the end, the big summary (my emphasis):

“The above evidence makes a prima facie case that future anthropogenic climate change could worsen conflict outcomes across the globe in comparison to a future with no climatic changes, given the large expected increase in global surface temperatures and the likely increase in variability of precipitation across many regions over coming decades”

Every bit of this is fine with me. Indeed, had the reporting on this paper been as nuanced as the claims it actually makes…there probably wouldn’t have been any reporting on the paper. The hook “the climate affects a lot of things, and some of those things could affect rates of conflict, so climate change might affect rates of conflict in different ways in different places in the future” isn’t exactly exciting.

And this is where I have to critique the article. My critique has two sides, one intellectual and one from a policy perspective. They are closely linked and blend into one another, and so I present them both below.

Intellectually, I fundamentally question the contribution of this paper. In a nutshell, there is almost nothing new here. Yes, there appear to be some new quantifications of the risk of conflict under different climate situations, and I will return to those in a minute. But overall, the claims made in this paper are exactly the claims that have been made by many others, in many other venues, for a while. For example, the Office of Conflict Management and Mitigation at USAID put out a report back in 2009 (yes, four years ago) that reviewed the existing literature on the subject and came to more or less the same conclusions as this “new” article.  So I was a little bothered by the Princeton press release for this paper in which quoted lead author Solomon Hsaing several times, because I think his justification for the paper is based on a straw man:

“We think that by collecting all the research together now, we’re pretty clearly establishing that there is a causal relationship between the climate and human conflict,” Hsiang said. “People have been skeptical up to now of an individual study here or there. But considering the body of work together, we can now show that these patterns are extremely general. It’s more of the rule than the exception.

I’d love to know who the “people” are who think there is no relationship between climate conditions and human conflict. Critiques of the study of this connection (at least credible critiques) have not so much argued that there is no connection, but that the connections are very complex and not well-captured in large-scale studies using quantitative tools.  So, when Hsaing goes on to say:

“Whether there is a relationship between climate and conflict is not the question anymore. We now want to understand what’s causing it,” Hsiang said. “Once we understand what causes this correlation we can think about designing effective policies or institutions to manage or interrupt the link between climate and conflict.”

…he’s really making a rather grand claim for an article that just tells us what we already knew – that there is a connection between climate conditions and human conflict. And he is burying the real lede here…that the contribution we need, now, is to understand how these causal relationships come to be. This argument for “where we should go next” is also a bit grand, seeing as everyone from academics to USAID’s Office of Conflict Management and Mitigation have been conducting detailed, qualitative studies of these relationships for some time now because we already knew a) that there were relationships between climate and conflict and b) we needed to establish what caused those relationships.

Second, I feel this article suffers from a critical methodological flaw, in that the authors never address the variable coupling of climate outcomes and changes in even those drivers of conflict identified in the literature. For example, it is not at all uncommon to have market shifts take place seasonally, in a manner that can be either coupled or uncoupled with shifts in climate: that is, sometimes a bad rainy season damages local harvests and drives market prices for food up, while other times it could be a great rainy season and a very productive harvest, but factors on regional or global markets could still generate price spikes that end up limiting people’s access to food. In both situations, the people in question would experience a food stress, one closely linked to climate variability, and the other experience a food stress uncoupled from climate. This is why, as I argued back during the Horn of Africa Famine, drought does not equal famine. Famines are far more highly correlated to market conditions than climate conditions. Sometimes climate events like a failed rainy season can trigger a famine by pushing markets and other factors over key thresholds. However, we’ve also had famines in times of normal or even favorable climatic conditions for agriculture.

Simply put, the authors appear to assume a constant relationship between a conflict driver like access to food and the local/regional/global climate. To be fair, this seems to be a pretty prevalent assumption in the literature.  But to the point, this is a bad bet. As best I can tell, the authors have not managed to address the intermittent coupling of conflict drivers like access to food and markets with climatic conditions in their analysis. This, to me, casts significant doubt on their findings that risk of inter-group conflict will rise 14% at one standard deviation of temperature rise – in short, this is far too precise a claim for a study with such large margins for error built into its design.  My suspicion here is that the margin of error introduced by this problem is probably larger than their analytical findings, rendering them somewhere between weak and meaningless. And this, to be honest, was the only really original contribution in the paper.

Third (as I begin to pivot from intellectual to policy critique), while the authors claim to have focused on causal relationships (a claim I think should be tempered by my methodological concerns above), they cannot explain those relationships. I’ve made this point before: in the social sciences, causality is not explanation. Even if we accept that the authors have indeed established causal relationships between climate variability and change and the risk of conflict/rates of conflict, they do not know exactly how these changes in climate actually create these outcomes. This is clear in the section of the paper titled “Plausible Mechanisms”, in which the authors conduct a review of the existing literature (much of which is qualitative) to lay out a set of potential pathways by which their observed relationships might be explained. But nothing in this study allows the authors to choose between any of these explanations…which means that all the authors have really accomplished here is to establish, by different means, exactly what the qualitative literature has known for a long time. To repeat:

  1. The climate affects many arenas, including food supplies, markets, and employment. The climate affects each of these in different ways in different places.
  2. Climate-related changes in one or more of those arenas could (but do not always) affect rates of conflict
  3. Even when climate-related changes to these arenas do provoke conflict, the provocation can occur in any number of locally-specific ways
  4. Therefore, all we can really say is that climate change might affect rates of conflict in different ways in different places in the future

We already knew all of this.

At this point, allow me to pivot fully to my fourth critique, which comes from a policy perspective. People tend to see me as an academic, and forget that I served as the first climate change coordinator for the Bureau for Democracy, Conflict, and Humanitarian Assistance (DCHA) at USAID. I was Nancy Lindborg’s first climate advisor – indeed, it was in this role that I found myself first dealing with issues of conflict and climate change, as I was responsible both for briefing my Bureau’s leadership on these issues and guiding the programming of the Bureau’s dedicated climate change budget (some of which I directed into more research on this topic). In short, I do know something about policymaking and the policy environment. And what I know is this: this paper gives us nothing actionable to address. Even if I accept the finding of 14% greater risk of intergroup conflict at one standard deviation of temperature increase, what am I supposed to do about it? Without an explanation for how this temperature rise produces this greater risk, I have no means of targeting programs, diplomacy, or other resources to address the things that create this greater risk. In short, this paper tells me what I already knew (that climate variability and change can contribute to conflict risk) without giving me anything concrete I can work on. If I were still briefing Nancy, my summary of this paper would be:

  1. There is nothing new in this paper. Its key findings are those of CMM’s (four-year-old) report, and are already well-established in the literature
  2. The paper does not provide any new information about how climate change and variability might contribute to increased conflict risk, and therefore presents nothing new that might serve to guide future policy, programs, or diplomacy
  3. I have methodological concerns with the paper that lead me to believe that the rates of increased risk of conflict reported in this paper are likely stated with too much confidence. These rates of heightened risk should not be cited until put under significant scrutiny by the academic and policy community*.

In summary, the supportable parts of this paper are nothing new – it is a reasonable summary of the issues with establishing a connection between climate change and conflict, and a decent (if truncated) review of the existing literature on the subject (I’d suggest that a real review article of this subject would have to go wider and look at the conflict and environment literature more broadly). But it doesn’t say anything new that really bears up to scrutiny, and even if the “risk of conflict” figures are correct, the paper provides no information that might guide policy, programs, or diplomacy in a manner that could avoid such conflicts. For that information, we have to return to the qualitative research community, which has long espoused the same general findings as those in this paper.

The press releases from Princeton and Berkeley, and the more hyped of the media coverage we’ve seen around this paper (likely driven by those press releases) is much ado about nothing new.

 

 

*In my third point I am indeed taking issue with the peer review process that brought this paper to publication. I believe that Science wanted this paper for the same reason Nature wanted the last one: headlines. Let’s see how the findings here stand up to serious scrutiny.

While many paint the combined impact of climate change and global markets as something new, unpredictable, and unmanageable, they fail to grasp that most situations we are projected to see in the next few decades* have been experienced before in the form of previous extremes.  Take, for example, the figure below:

Untitled

This is a graph of the annual rainfall at one rain gauge in Ghana, near where I conducted the research that made up a big part of my book Delivering Development.  The downward trend in rainfall is clear (and representative of the trend in this part of coastal West Africa that, according to my colleagues at IRI, continues to this day and is confirmed by satellite measurements).  There are complex things happening inside these annual figures, including shifting timing of rainfall, but for the purposes of discussion here, it serves to make a point.  While there is indeed a downward trend that continues to this day, there have already been several years where the total precipitation was much lower than the current average precipitation, or the likely annual precipitation for the next few decades.

This means is that the farmers in Dominase and Ponkrum, like so many around the world, have already seen the future – that is, they have already lived through at least one, if not several, seasons like those we expect to become the norm some decades in the future.  These farmers survived those seasons, and learned from them, adjusting their expectations and strategies to account for the possibility of recurrence. These adjustments are likely over- or under-compensating for the likelihood of recurrence right now, as livelihoods strategies in these villages are largely reactive, reflecting last season’s events more than the average season. Further, the year-to-year hedging of farms against climate variability can be a costly practice – the likely “insurance premium” of lost production in a good year (due to planting in less-than-ideal, but precipitation-hedged situations like the tops and bottoms of hills – see my discussion in Chapter 4 of Delivering Development) probably eats up somewhere between 10% and 20% of total potential production.  So these management strategies are not ideal. But they do reflect local capacities to adjust and account for extreme conditions, the extreme rainfall or drought events out along the tails of historical distributions whose unpredictable recurrences characterize a changing climate regime.  Many of these farmers have little or no access to inputs, limited to no access to seasonal forecasts, and live in states without safety nets, yet they have repeatedly survived very difficult seasons.  Clearly, their capacity for survival in an uncertain environment and economy is worthy of our respect.

This is not a phenomenon specific to Ghana.  For example, the farmers in southern Mali with whom I (and many others) have been working to deliver better and more relevant climate services, such as seasonal and short-term forecasts.  Most, if not all, of these farmers are using local indicators, such as the flowering of a particular tree or the emergence of a particular insect, as indicators that help them time various activities in their agricultural cycle. Many trust their local indicators more than the forecasts, perhaps with some reason – their indicators actually seem to work and the forecasts are not yet as accurate as anyone would like.  But these indicators work under current climate regimes, and these regimes are changing. At some point, the tree will start to flower at a different, perhaps less appropriate time, or simply cease to flower. The insect will emerge at a different time, or perhaps be driven away by the emergence of new predators that can now move into the area. If the climate continues to change, local indicators will eventually fail.

I humbly suggest that instead of reengineering entire agroecological systems and their associated economies in the here and now (a fairly high risk enterprise), we should be building upon the capacities that already exist.  For example, we can plan for the eventual failure of local indicators – we can study the indicators to understand under what conditions their behaviors will change, identify likely timeframes in which such changes are likely to occur, and create of new tools and sources of information that will be there for farmers when their current sources of information no longer work. We should be designing these tools and that information with the farmers, answering the questions they have (as opposed to the questions we want to ask).  We should be building on local capacity, not succumbing to crisis narratives that suggest that these farmers have little capacity, either to manage their current environment or to change with the environment.

Farmers in the Global South have already fed the future. Perhaps they did not do it all that well, and all they managed was to stave off catastrophe. But given the absence of safety nets in most places in the Global South (see Theme 3, points 2 and 3), and the limited access so many farmers have to inputs and irrigation, avoiding catastrophe is an accomplishment that warrants study and serious consideration. We should build on that capacity, not blow it up.

The key principals and points:

1)   A future under climate change is not a great unknown for farmers in the Global South. Most farmers have already managed several seasons as difficult, or more difficult, than what we project to be normal in the next few decades. Presuming these farmers are facing a catastrophe they cannot see coming fails to grasp the ways in which these past seasons inform contemporary planning.

2)   Farmers have already developed strategies for addressing extreme seasons (i.e. drought or excessive precipitation). We should start with an understanding of what they already do, and why, before moving in with our interventions, lest we inadvertently undo otherwise functional safety nets.

3)   Existing indigenous strategies for managing climate variability are not perfect. They tend to overestimate or underestimate actual risks of particular weather and climate states, tend to magnify the importance of the previous season (as opposed to historical averages, or current trends) when planning for the next season, and tend to be very costly in terms of lost potential agricultural productivity.

4)   Current indigenous tools for making agricultural decisions, such as local indicators, are likely more robust than any climate product we can deliver right now. Just because this information comes in the form of a plant or animal behavior does not make it any less valid.

5)   Current indigenous tools for making agricultural decisions will likely start to fail as climate regimes change. This fact presents an opportunity for development organizations to start working with farmers to identify useful information and ways of providing it such that this information is available when local indicators fail.

 

 

*Given the propagation of uncertainty in models of the global climate, global water availability, global land cover, the global economy, and global population (all of which, incidentally, impact one another), I don’t pay much attention to model results beyond about 2040, with 2030 being the really outer threshold of information that might usefully inform planning or our understanding of biophysical process.  On the 100-year scale, we may as well be throwing darts at a wall as running models. I have no idea why we bother.

In the world of food security and agricultural development there is a tendency to see market integration as a panacea for problems of hunger (see Theme 2, point 4). There is ample evidence that market integration creates opportunities for farmers by connecting them to the vast sums of money at play in the global food markets. But there is equally ample evidence pointing to the fact that markets are never just a solution – negotiating global markets from the position of a small producer presents significant challenges such as the management of commodity price instability (without meaningful market leverage).  The academic side, and much of the implementation side, of the food security world already recognizes this issue, driven by (repeated) studies/experiences of food insecurity and famine showing that markets are nearly always the most important driver of this stress on the global poor. Planning for the benefits of market integration without serious thought about how to manage the potential downsides of markets is a recipe for disaster.

For example, simplifying one’s farm to focus on only a few key crops for which there is “comparative advantage”, and then using the proceeds to buy food, clothing, shelter and other necessities, works great when the market for those crops is strong. But what happens when the food you need to buy becomes more dear than the crops you are growing, for example through food price spikes or a shift in markets that leave one’s farm worth only a fraction of what is needed to feed and clothe one’s family? In the world’s poorest countries, where most food security and agricultural development work takes place, there is little capacity to provide safety nets to vulnerable citizens that might address such outcomes.

This is not a call for the provision of these safety nets (microinsurance is very interesting, but a long way from implementation).  While useful and, in some contexts, critical, they are, in the end, band-aids for a larger conceptual problem – the framing of market engagement as a panacea for the problems of agricultural development and food security.  Often, such programs also presume a lack of existing safety nets at the community or household level – a sort of “we can’t make things worse” mentality that marks much development thought. However, farmers in these countries have long operated without a state-level safety net. They hedge against all kinds of uncertainties, from the weather to markets.  For example, one form of hedging I have seen in my own work is an emphasis on growing a mix of crops that can be sold or eaten, depending on market and weather conditions.  If, in coastal Ghana, you are growing maize and cassava as your principal crops, you can sell both in years where the market is good, and you can eat both in years where the market turns on you. I have referred to opting out of markets as temporary deglobalization, where people opt in and out of markets as they gauge their risks and opportunities.

Forcing farmers away from this model, toward one that focuses on enhancing the economic efficiency of agricultural production by reducing the focus of a country and its farmers to a few crops that are their “comparative advantage”, and which they should sell to purchase the rest of their dietary needs, removes the option of turning away from markets and eating the crops in conditions of years where the markets are not favorable.  This is even more true when some of that newly reduced crop mix only takes value from sale on global markets (i.e. cocoa) and/or which cannot be eaten (i.e. cotton). In short, such restructuring in the name of economic efficiency makes people dependent on the political structures of the state that govern the markets in which they participate.  Most of our work takes place in the Global South, where the state rarely has the capacity to step in and help in times of crisis.  It is pretty easy to do the math here: done wrong, food security programs principally framed around ideas of economic efficiency can enhance state capacity to extract value from farmers without a comparable improvement in the delivery of services or safety nets.  This is an acceptable outcome if you are trying to compel people to submit to the state and the markets the state regulates, which is one way to boost measurable GDP and state revenue. However, it is really bad if you are actually trying to improve people’s food security.

The key points and principals here:

1)   Are you addressing food insecurity or strengthening the state’s capacity to raise revenue and measure economic activity? These are not the same thing – generally, they are at odds with one another, as making agricultural practice easier to see and measure only serves to improve the capacity to extract revenues from farmers, without any guarantee of improved services proceeding from those revenues.

2)   Economic efficiency is a desirable characteristic of agricultural livelihoods, but in the absence of safety nets cannot be the organizing principal of food security interventions. All else being equal, it is better when farmers use their scarce resources as efficiently as possible. However, the measurement of efficiency must take place within an assessment of the various risks currently managed through “inefficiencies” – as many such inefficiencies are in fact parts of robust, community- and household-level safety nets.

3)   Food security programming should be able to identify the difference between an inefficiency and a critical part of a community- or household-level safety net.  Regardless of the consequences for economic efficiency, programs and projects should not destabilize these until such time as new, reliable safety nets exist to take their place.

4)   Opting out is OK. Farmers should be allowed to structure their farms such that they can opt out of markets if things turn bad, even if this limits their total incomes in “good”/optimal years. This should not be assessed in terms of the average outcome, when best and worst cases are averaged.  Your best case is some more money. Your worst case is severe deprivation and death. These are not equal. Averting the latter is more important than achieving the former.

If food insecurity is not about global food shortages, what is it?  Following the a vast body of literature and experience addressing food insecurity, it is the outcome of a complex interplay between:

  • locally-accessible food production
  • local livelihoods options that might provide sufficient, reliable income or sources of food
  • local social relations (which mobilize and create social divisions by gender, class, age, etc.) which shape access to both livelihoods opportunities and available food within communities and even households
  • structures of governance and markets in which that production takes place
  • global markets for food and other commodities that can impinge on local pricing.

Changes in the natural environment play into this mix in that they generally impinge upon locally-accessible production and on global markets. The experience of the Famine Early Warning System Network (FEWS-NET) provides evidence to this effect.  FEWS-NET builds its forecasts through a consideration of all of these factors, and as it has gained resolution on things like local livelihoods activities and market pricing and functions, its predictive resolution has increased.

Despite decades of literature and body of experience to the contrary, it seems that the policy world, and indeed much development implementation, continues to view issues of hunger as the relatively straightforward outcome of production shortfalls that can be addressed through equally straightforward technical fixes ranging from changed farming techniques to new agricultural technologies such as GMOs.  This view is frustrating, given its persistence in the face of roughly five decades of project failures and ephemeral results that evaporated at the end of “successful” projects. More nuanced work has started to think about issues of production in concert with the distribution function of markets.  However, the bulk of policy and implementation along these lines couples the simplistic “technical fix” mentality of earlier work on food security with a sort of naïve market triumphalism that tends to focus on the possible benefits of market engagement with little mention or reasonable understanding of likely problematic outcomes.  Put another way, most of this thinking can be reduced to:

increased agricultural production = increased economic productivity = increased food security and decreased poverty

The problem with this equation is that the connection between agricultural productivity and economic growth is pretty variable/shaky in most places, and the connection between economic growth and any specific development outcome is shaky/nonexistent pretty much everywhere unless there has been careful work done to make sure that new income is mobilized in a specific manner that addresses the challenge at hand.  Most of the time, the food security via economic growth crowd has not done this last bit of legwork. In short, the mantra of “better technology and more markets” as currently manifest in policy circles is unlikely to advance the cause of food security and address global hunger any more effectively than prior interventions based on a version of the same mantra.

These issues present us with several key points about the problem we are trying to solve that should shape a general approach to food insecurity:

1)   Because food insecurity is the outcome of the complex interplay of many factors, sectoral approaches are doomed to failure.  At best, they will address a necessary but insufficient cause of the particular food insecurity issue at hand.  However, in leaving other key causes unaddressed, these partial solutions nearly always succumb to problems in the unaddressed causes.

2)   Production-led solutions will rarely, if ever, address enough significant causes of food insecurity to succeed.  Simply put, while production is a necessary part of understanding food insecurity, it is insufficient for explaining the causes of particular food insecurity situations, or identifying appropriate solutions for those situations.

3)   Increased production is not guaranteed to lead to economic growth. The crops at hand, who consumes them, the infrastructure for their transport, and national/global market conditions all shape this particular outcome, which can shift from season to season.

4)   Economic growth does not solve things magically. Even if you can generate economic growth through increased agricultural production, this does not mean you will be addressing food insecurity. Programs must think carefully about where the proceeds from this new economic growth will go in the economy and society at hand, and if/how those pathways will result in greater opportunity for the food insecurity.

5)   Embrace the fact complexity takes different forms in different places. In some places, markets will be a major cause of insecurity. In other places, environmental degradation might play this role. In still other places, failed governance will be the biggest issue driving food outcomes.  In nearly all cases, though, all three of these factors will be present, and accompanied by others.  Further, the form this insecurity takes will be highly variable within countries, provinces, districts, communities and even households, depending on the roles people play and the places in which they play them.  There is no good template in which to fit a particular case of food insecurity, just a lot of causal factors that require extensive teasing out if one hopes to explain food outcomes and therefore address the problem.