Africa in 2040
The Darkened Continent
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This article examines the interaction of a variety of influences on the African food supply over the next three decades. The influences include climate change, rising oil and fertilizer prices, HIV/AIDS, rising population, falling GDP, food import and distribution requirements and global food price inflation. The article then looks at what the growing constraints on fuel, food and finance might mean for the population of the African continent over the coming years.
The paper is built on the findings of two previous works, tỷ lệ cá độ bóng đá and Energy Intensity and GDP in 2050. The former established a "high probability" scenario for the evolution of the world's energy supply over the next few decades. The latter extended the analysis by examining the effects of declining global energy supplies on regional and national economies.
In the course of that analysis I realized that the regions most affected by energy-driven reductions in GDP would also be those with the highest population growth rates. One region that seemed at particular risk was Africa. That finding, along with recent reports that Africa will be threatened with food insecurity over the same period because of climate change and HIV/AIDS has prompted me to take this closer look at their situation.
The analysis is conducted though a numerical model that uses the parameters discussed below. The model is contained in a Microsoft Excel ® spreadsheet, which is available on-line. The model may be downloaded and the parameters altered to explore their effects on the outcome.
There is a darkness moving on the face of the land. We catch glimpses of it in newscasts from far-off places that few of us have ever seen. We hear hints of it on the radio, read snippets about it in newspapers and magazines. The stories are always fragmentary, lacking context or connection. They speak of things like hyperinflation in Zimbabwe, war in Chad, electricity problems in Johannesburg, famine in Malawi, pipeline fires in Nigeria, political violence in Kenya, cholera in Congo. Each snapshot of grief heaves briefly into view, then fades back into obscurity. With every fresh story we are left asking ourselves, "Is there something bigger going on here, some unseen thread connecting these dots? Or is this just more of the same from a continent that has known more than its share of misery?"
This paper is my attempt to connect those dots, to tease some order out of the chaos of the news reports. Because this is a quantitative analysis, much of the information is presented numerically and in graphs. This is a deliberate decision. It's very difficult to tell a tale this big with individual anecdotes, as compelling as they may be. While personal stories can bring a situation to life, they cannot effectively convey the scope and scale of something as large as this. Each graph has a crucial tale to tell. I hope you spend some time with each one, thinking about what those bloodless numbers mean in terms of human lives.
Parameters and Assumptions
In the first paper of this series, World Energy to 2050, I derived the following curve for the global energy supply. The peak and decline is due primarily to the phenomenon of Peak Oil. That energy scenario is used in this paper, and is assumed to apply to Africa as much as it does to the developed world.
Overall, Africa has few other domestic energy supplies (coal, hydro or nuclear) with which to offset the decline of oil and natural gas. The loss of energy supplies will affect all aspects of African life, from transportation and industrial activity to the stability of their electrical supplies. Many African countries already have severe energy problems from oil and gas shortages, as well as unstable, under-supplied electrical grids.
my analysis I use energy consumption as a proxy for economic
activity, allowing me to make estimates of changes
in economic performance over time.
Energy intensity is the measure of the amount of energy it takes to produce a dollar's worth of economic output. This value varies widely between countries, depending on their level of industrialization, the mix of services and manufacturing in their economies, and the attention they pay to energy efficiency.
American Energy Information
Administration maintains extensive data on national energy
intensity, all of which is summarized in this
spreadsheet. I used this data as the basis for
my intensity projections. I use a projection of African
intensities to predict how energy changes
will influence the continent's overall economic performance in the next
In the case of Africa, a linear projection of the historical data indicates an ongoing improvement in energy intensity of about 0.5% per year. As you can see, the trend is not terribly stable, and it could easily be less than that. Nevertheless, that is the value used in the model.
By combining the energy intensity change with the projected change in Africa's energy supply, I derived the following curves for Africa's energy consumption and their resulting economic performance:
Africa's GDP may drop to half its current value by 2040 due to the loss of energy supplies.
According to the United Nations 2004 Estimate (medium variant), Africa's population will double by the year 2050. This gives an average population growth rate over 1.5% per year. When combined with the GDP projection given above, this population increase results in a drastic decline in the continent's average per capita GDP by 2040.
Much of African agriculture is rain fed rather than irrigated. The actual amount ranges up to 96% of Sub-Saharan agriculture, according to the World Bank. Rain fed agriculture is extremely vulnerable to any change in rainfall patterns. Unfortunately, such a disruption is one of the early effects of climate change. According to a recent estimate, climate change may reduce the yield of crops like maize by as much as 30% in Southern Africa over the next two decades.
This estimate has been incorporated in the model as a consistent 1% per year decline in agricultural output due to climate change.
As the world's oil demand exceeds its supply by a greater and greater margin after the current production peak, oil prices will climb dramatically. This will result in rich nations outbidding many poor nations for oil supplies on the world market. Such oil as the poor nations do purchase will consume an ever-growing proportion of their ever-shrinking GDP. While this effect may be offset in some African countries that are still net exporters of oil, the majority of African nations need to import oil. As a result they will be forced to compete in the world market with such economic powerhouses as the USA, Europe and China.
The model assumes that oil prices will rise proportionally to the depletion of global supplies at the rates described in the World Energy model. From Africa's perspective this is an extremely optimistic estimate. Given the price increases the world has already experienced, a drop of half in the global oil supply would certainly cause more than a doubling of the price.
The increasing cost of oil appears in two places in the model. The first is in the cost of domestic food production, where oil is assumed to represent 15% of the total input costs of agriculture. The second place is in the distribution of food imports. Because almost all such transportation in Africa is by road, oil price increases will directly affect food distribution costs.
The cost of nitrogen fertilizer is determined largely (about 85%) by the cost of the natural gas feedstock. As a result fertilizer prices track natural gas prices quite closely, and as gas prices have risen around the world the price of fertilizer has gone along for the ride. This trend appears to be accelerating, as one would expect in a world of tight energy supplies. In the last few years the price of nitrogen fertilizer has doubled, and this rise is showing no signs of leveling off. Fertilizer prices are expected to rise another 50% during 2008.
For the purposes of this model I have taken the tỷ lệ cá độ bóng đáaverage US fertilizer price over the last 25 years, and projected the trend out to 2040. This procedure indicates a rise of almost 500% over that time, which may be conservative given recent trends.
Rising world fertilizer prices will cause a reduction in fertilizer use in Africa, resulting in a decline in crop yields. Rising prices will also add to the cost of domestic food production as well as inflating the price of food imports.
There are two significant facts about fertilizer use in Africa. One is that fertilizer in Africa costs two to four times the world price, largely due to the cost of transporting it inland by road from port cities. The second fact that follows from this is that African farmers use only one tenth of the world average fertilizer per hectare.
The model incorporates fertilizer prices in two ways. One is by projecting a decline in crop yields of 0.5% per year due to declining fertilizer use. The other is by projecting an increase in the domestic cost of food production -- the price increases of the above graph are incorporated into the cost of food production, assuming that fertilizer comprises 10% of the input costs of African agriculture.
HIV/AIDS is the most severe health problem that Africa faces. It has a disproportionate impact because the disease mainly infects the most productive adult members of society. In just the last year over 2.5 million Africans have died from AIDS, almost all of them between the ages of 18 and 45. This has ripped the heart out of both industrial and agricultural productivity.
In a speech in 2004, the Executive Secretary of the UN Economic Commission for Africa stated that AIDS is causing a decline in GDP of 0.4 to 1.5% per year. As a result, the model incorporates a 1.0% annual decline in GDP due to AIDS.
In the same speech the Executive Secretary also said that AIDS has "a tremendous negative impact on agricultural productivity". The model assigns a further 1% per year decline to agricultural output to account for this effect.
Agricultural Productivity Increases
Offsetting the negative pressures on food production is a fairly speculative factor encompassing a variety of improvements in agricultural yield. Such improvements might include more productive organic and no-till farming practices, more use of irrigation, clearing more land for agriculture and higher yields from hybridization or genetic modification programs.
The model incorporates the effect of such improvements by applying a long-term 1.0% per year increase in yields after the negative pressures have been incorporated.
The Current Food Supply
According to the United Nations Food and Agriculture Organization (FAO), Africa imports about 28% of its calorie requirements. The major imports are wheat (58% of requirements), rice (41% of requirements) and oils (54% of requirements).
The extent of this calorie shortfall and the low probability of growth in domestic production mean that every new mouth in Africa must be fed with imported food. As the population grows and domestic food production shrinks the dependence on imports, either as purchases or foreign aid, will increase rapidly.
The model assumes a constant gross calorie requirement of 3100 calories per day per person, about what is consumed today. This number represents the total number of calories before processing losses or wastage. Once those are taken into account this should represent an actual food value of around 2600 calories per day.
Cost of Imported Food
Figures from the World Bank indicate that Africa's bill for food imports in 1985 was about $12.4 billion. In 1995 the FAO estimated that by 2000 the food import bill would be $4.5 billion higher than in 1989. Based on this information, the model assumes the total cost of continental African food imports in 2006 was $25 billion.
This estimate is also likely to be low, as the FAO also estimated that the total cost of food imports by Low Income Food Deficit Countries (a group that extends beyond Africa) was in the neigbourhood of $85 billion in 2006, and is projected to rise by 25% to $107 billion in 2007.
Cost of Domestic Food Production
Because so much of African agriculture is subsistence farming, it is quite difficult to find overall estimates of the cost of domestic food production. In order to establish a starting point for the model I have assumed that it costs the same amount to produce one calorie of food domestically as it does to buy it on the world market.
References that support this assumption come from the International Monetary Fund, "in Sierra Leone, ... the price of a bag of local rice—the national staple food—was about 320 leones ($26-$32) in 1995, while imported, subsidized rice was priced at 280 leones ($23-$28)", as well as from a 2002 study by the National Labour and Economic Development Institute (NALEDI) based in South Africa that states, "The domestic price of maize (i.e., the South African Future Exchange (SAFEX) spot price) is currently trading well above the import parity price", and "The 2000/2001 marketing year was a large harvest for white maize (6.4 million tons) with producer prices being close to export parity prices."
The approach of assuming present-day parity between domestic food production costs and import prices ignores the intricacies of tariffs, subsidies, international exchange rates, various forms of arbitrage and the different costs of agricultural inputs in various regions of the world. However, given the commoditization and globalization of the world food market, it seems like a broadly realistic assumption.
Cost of Distributing Food Imports
As mentioned in the section on oil prices, the cost of fuel is the primary determinant of the distribution costs for imported food. The model assumes that the distribution cost of a calorie of food today is about what it costs to purchase the food. As a result, distribution costs double the cost of imported food. While this may seem high at first glance, I can point to the data given above on the impact of transportation costs on fertilizer prices as a justification for this factor.
In the model, distribution costs rise in direct proportion to the decline in the oil supply. As previously mentioned, this factor is probably too optimistic -- transportation costs are likely to soar as the world's oil supply depletes.
Inflation of Food Imports
The price inflation of imported food will be one of the most significant factors in the overall cost of Africa's food supply. There have been recent news reports of increases in the price of staples such as corn, wheat, milk etc. This inflation is being driven by a number of factors, chief among them supply reductions due to climate change, the increasing demand for meat in developing nations, and competition from biofuel production.
Annual inflation reports range from over 100% for wheat to an FAO projection of 30% to 40% for oils and coarse grains. The recent massive inflation in wheat prices is especially worrying, as wheat comprises almost 40% of Africa's total calorie imports. In light of these predictions, the model uses a relatively conservative long-term inflation factor for imported foods of 12% per year.
As I indicated in the section on Climate Change, very little of Africa's arable land is irrigated. In fact, over the whole continent only 7% of farmland is irrigated, and in Sub-Saharan Africa this drops to 4%. In comparison, Asia irrigates 38% of its arable land. This situation is not entirely because of a lack of ground water in Africa. In a speech in 2005 the Director-General of the FAO stated that Africa uses only 4% of its renewable water, compared to Asia's 14%. The probable reason for this lack of development is a combination of shortages in capital, energy and infrastructure. Given Africa's recent history, those factors seem unlikely to change significantly in the near future.
Whatever the reasons, the shortage of irrigation water along with the unavailability of fertilizer described above, represent major obstacles to the introduction of high yield "Green Revolution" crop varieties to Africa.
Foreign Aid and