Transitions in SSA--Agriculture, Urbanization, And Income Growth

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    Transition in Sub-Saharan Africa:

    Agriculture, Urbanization and Income Growth

    MARY TIFFEN *Drylands Research, Crewkerne, Somerset, UK

    Summary. Econometric analysis of some 40 years of data has provided mixed results, because ofthe defects of the data, and because there are some relatively sudden structural economic shifts. Animportant shift is when agricultural labor ceases to grow, now happening in sub-Saharan Africa(SSA). A model of the interrelationship over time of the rural, mainly agricultural sector, and theurban, mainly manufacturing and service sector, is proposed. Each provides a market to the other.Growth in both requires investment, but of distinctly different types. Their interaction results in anS-shaped curve. Many SSA countries are in the acceleration phase, and its agriculture, particularlyin semi-arid areas, is increasingly oriented to the growing home market. Case studies show farmershave invested and adopted new technologies but the transition to an urbanized economy has beenhindered by poor policies. The current need is for appropriate investments and policies to developthe productivity of the urban sectors, so that they can continue to stimulate agriculture, andprovide jobs for those who are leaving farming. 2003 Elsevier Ltd. All rights reserved.

    Key words transitional economies, development theory, agriculture, industrial policy, statistics,

    sub-Saharan Africa

    1. TRANSITIONS AND GROWTHMODELS

    Development theory has been preoccupiedwith providing improved living standards andquality of life either to the great majority, ormore recently, to the poorest of the poor. Thisnormally requires economic growth greaterthan population growth, both to improveincomes directly, and to increase the taxablecapacity underpinning good government ser-vices. 1

    It is clear that the high-income countries areurbanized and have large industrial and servicesectors. Agriculture provides only 2% of theirGDP, compared with 10% in middle-incomeand 41% in low-income countries (World Bank,2000b). Most low-income countries have ahigher proportion of their labor force in agri-culture than its proportion of output value.Many development economists in the 1950sand 1960s therefore urged the need to shiftlabor into higher productivity sectors, by astructural transformation leading to industri-

    alization of their economies. Rostow (1960)propounded a rapid take-off stage, for which anecessary condition was a rise in the productive

    investment rate to over 10% of national in-come. It was generally believed in the 1960sthat such investment must be made by gov-ernment, due to lack of private capacity. Inconsequence, high taxes on agriculture throughmarketing boards and export duties had gen-eral approval. Helleiner (1966) wrote in relationto Nigeria:

    The disposition of Marketing Board surpluses maynot have been perfect, but the rates of return fromtheir investments in research, roads, agricultural

    schemes, universities, modern manufacturing plantsand so forth are unlikely to have been any lower than

    World Development Vol. 31, No. 8, pp. 13431366, 2003 2003 Elsevier Ltd. All rights reserved

    Printed in Great Britain0305-750X/03/$ - see front matter

    doi:10.1016/S0305-750X(03)00088-3www.elsevier.com/locate/worlddev

    *This paper owes much to the collaboration I have

    enjoyed over many years with Michael Mortimore, and

    draws upon studies comparing four semi-arid districts in

    sub-Saharan Africa, which he led for Drylands Re-

    search. These were funded by the Department for In-

    ternational Development, UK, which, however, is not

    responsible for the views expressed. My intellectual

    debts to others too numerous to mention will be par-

    tially apparent in the bibliography. They include an

    anonymous reviewer who made helpful suggestions.

    Final revision accepted: 19 March 2003.

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    those on housing, sewing machines, land clearing, andthe other small-scale outlets for peasant funds dis-cussed above, let alone so much lower as to offsetthe difference between savings rates (p. 184).

    The failure of policies aimed at inducing rapidindustrialization discredited belief in a take-offand stages of growth. 2 The importance of theagricultural sector as a supplier of raw materi-als, food and labor, and as the home marketfor local industrial output, noted by Johnstonand Mellor (1961), was increasingly recognized.The low productivity of many governmentinvestments and the outright failure of somebecame better known. Structural adjustmentimplied a shift away from inward-orientedimport-substituting development strategies to

    more outward-oriented ones (Alexandratos,1995), and debt-ridden countries have beenurged to increase and diversify agricultural ex-ports. 3

    If GDP rises smoothly as a result of long-term effects of capital formation, labor forceexpansion and technological change, it can bemodeled by econometric analysis, using the 3040 years of statistical data which are nowavailable for a large number of countries.Kenny and Williams (2001) have shownthe limited explicatory power of econometric

    models, and their often contradictory results.They note several causes, including, impor-tantly, the assumption that the process of eco-nomic growth is the same, not only in allcountries, but in all periods of time. Theysuggest therefore, that mathematical modelingtechniques have invaded territory to which theyare ill-suited (p. 14).

    This paper uses a few generally agreedprinciples of economic growth to construct anonmathematical model that reflects histori-cal experience. The model conforms to the

    broad thrust of available statistical data, butshows that economies are fundamentallydifferent at different points in time, particu-larly in the relationship of their agriculturaland nonagricultural sectors. Policies thereforeneed to be varied according to the stage atwhich the country finds itself, rather thanapplied universally. The development of theagricultural sector is initially extremely im-portant. At a later stage, however, increasesin the productivity of towns are required, toimprove urban incomes, to provide alterna-

    tive occupations to the rural poor, and tostimulate agricultural investment throughgrowing demand.

    Tomich, Kilby, and Johnston (1995) alsoreturned to a stages approach in their book,Transforming Agrarian Economies. The modeldiffers from them in emphasizing the change inmarkets rather than in labor disposition, and

    the acceleration of change. They identifiedcountries with abundant rural labor with 50%or more of the labor force in agriculture, butthought that

    . . .it will be decades before they reach the structuraltransformation turning point, when the absolute sizeof the agricultural work force begins to decline. Untilthen, poverty can be alleviated only if productivityand employment in the rural economy are increased(pp. 910).

    In fact, a number of countries even in sub-Saharan Africa (SSA) are at or near this point.Calculating from (World Bank, 2002), urbanpopulation in SSA increased at an average of5% p.a. and rural at 2% p.a. 19682000, andaveraged 34% of the total in 2000. It is nowheading for 50% in some (Figure 1). Ruralpopulation growth had dropped to 0.4% p.a. orless in eight out of the 20 largest countries in19982000 (Figure 2), and not all rural is ag-ricultural. While policy debates have focusedon the pros and cons of exports, the swiftly

    growing internal market has become muchmore important to farmers, and is a maingenerator of change in farming systems, par-ticularly, but not only, in the semi-arid areas.The urban market is attracting not only theirproducts, but also their labor.

    The model is delineated and explained inSection 2. Section 3 illustrates the dubiety ofmuch of the population and national incomedata relating to SSA, which lies behind allega-tions of low or negative growth rates in incomeper capita, and falling agricultural output per

    capita (World Bank, 2000a). Wiggins (1995,2000) has already discussed the conflict betweenthese statistics and the evidence of change andgrowth gathered from a limited number of vil-lage case studies. As these can be unrepresen-tative, Section 4 illustrates the rapidity ofchange in four semi-arid African districts,19602000. Some 30% of the SSA populationlive in semi-arid areas (Jahnke, 1982), whichprovides a difficult environment for agriculture.If there are achievements in these areas it islikely that this is also the case in the better-

    endowed areas. Section 5 considers the policiesand government services likely to be most im-portant in the near future.

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    2. THE MODEL

    (a) Basis

    The model utilizes some of the most basicand durable concepts in economics:

    The division of labor by specializationimproves productivity and leads to techno-logical improvements developed out of the

    skills and experience of the specialists.Adam Smith gave his famous illustrationof pin manufacture. Specialization requires

    -0.2

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    Nigeria

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    Malawi

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    Mali

    Senegal

    Annual growth %, 1998-2000

    Figure 1. Annual percentage growth in rural population, 19982000, in sub-Saharan African countries currently havinga population over 10 million, in 1968 and 1998. Source: Calculated from World Bank (2002). Countries in this and

    subsequent figures are arranged in order of population size.

    0

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    ozambique

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    urkinaFaso

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    1968 1998

    Figure 2. Urban population, largest SSA countries, as a percentage of total population. Source: Calculated from theWorld Bank (2002).

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    concentrations of populationin villagesand to an increasing extent as specializationproceeds, in towns and cities, to facilitate theexchange of services, products and informa-tion.

    The division of labor is limited by the ex-tent of the market. The extent of the marketis determined in great part by the costs oftransport in relation to the value of theproduct, and also by the numbers and in-comes of the potential purchasers. 4

    Improvements in output per labor day orper hectare require the investment of eitheror both capital and labor for a delayed re-ward, but there are diminishing returns toadditional units of the same input unlessthere is also a change in technology or in

    the nature of the output. Hence sustainedgrowth depends on the combination of in-vestment with new or modified and adaptedtechnologies (Romer, 1989). This appliesboth in agriculture and industry (Anderson,1990; Tiffen & Mortimore, 1994). The devel-opment of technology is facilitated endoge-nously by specialization, but is also helpedby the openness of society to informationfrom external sources, whether brought inby the written word and other media,through the mechanisms of external trade,

    or through the concentrations of people typ-ical of a market place.

    Investment, while a necessary conditionfor improved output and incomes, is not aguarantee of either. A given amount of in-

    vestment does not and cannot produce agiven amount of growth. Investment incursrisk, and is more likely to be successful withgood information about the nature of therisks and of the market, and if the investorhas been able to develop his/her skills and

    judgement. The more complex and largerthe investment, the larger is the range of spe-cialisms needed to provide information, andthe greater the need for qualitative andquantitative skills in managing and assessingit.

    (b) Sectoral change over time

    There is a symbiotic relationship between theagricultural and nonagricultural sectors of aneconomy, which changes over time, as illus-trated in Figure 3. In phase A, almost all laboris absorbed by producing food for its ownhousehold, at low levels of output per laborunit. In scattered communities in a period whentransport was slow, expensive and difficult,labor has to be spread inefficiently to cope with

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    labor - urban market for ag produce and ag labor

    AB

    C

    Agricultural labor:

    market for urban

    goods and services

    Slow Fast

    Figure 3. Agricultural, manufacture and service sector labor over time. Note: Arrows show positions of low income andlower middle income countries in 1960 and 1980, as given in World Bank (1983).

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    a variety of needs. As Smith (1776, p. 338) re-marked:

    Without the assistance of some artificers. . .the cultiva-tion of land cannot be carried on but with great in-

    conveniency and continual interruption. Smiths,carpenters, wheelwrights and ploughwrights, masonsand bricklayers, tanners, shoemakers and tailors arepeople whose service the farmer has frequent occasionfor.

    Farmers are unable to sell any surplus theyproduce, if all near them are similarly engaged,and they have no access to other centers ofdemand. 5 Typically, occasional surpluses arespent in feasting and drinking rather than in-vesting to produce more. With low population

    density, extensive agriculture, using long fallowsto restore fertility, is appropriate (Boserup,1965).

    Moving out of this situation is slow anddifficult. Figure 3 shows that agricultural andnonagricultural labor form each others mar-ket. The respective size of the market, shown bythe vertical columns, limits the development ofthe other sector. Typically the first nonagri-cultural sectors to develop are those of ad-ministration and defense, which often cull anysmall agricultural surplus that exists without

    contributing much to the reduction of incon-veniency and the interruption of agriculturaltasks by other necessities.

    The units of time in Figure 3 are not stan-dardized. Phase A typically lasted many cen-turies while the transition phase B may beaccomplished in 50500 years. Its length, oftendifficult to document in the absence of histori-cal data, depends in part on the technologiesavailable in an external contact economy(Gerschenkron, 1962). In the early slow part ofphase B it is usually assisted by access to ex-

    ternal capital and markets to expand the non-agricultural sector and transport facilities. InBritain, generally recognized as the home of theindustrial revolution, it began with raw woolexports to only slightly more advanced econo-mies in Europe in the medieval period, andstarted gathering speed circa 17601800. Laterdeveloping countries have generally made thetransition more quickly than the United King-dom. The most recent examples are in easternAsia. 6 Change accelerates as productive tech-nologies and technologies for the exchange of

    goods and information improve. Concentra-tions of people facilitate the exchange and de-velopment of ideas (Simon, 1977). Countries

    that cut themselves off from the exchange ofgoods, ideas and capital, as did China for manycenturies, (Landes, 1998), and Albania morerecently, move more slowly down the curve.

    The contact economy also provides a market

    for farmers hitherto dependent on an extremelysmall nonagricultural sector. The enlargedmarket provides a vent for farmers, andstimulates efforts to provide a surplus abovefamily needs in return for desirable consumergoods and inputs, many of which are initiallyimported. In countries which initially havesome underused labor and land the export cropis additional to existing production (Myint,1967). Hopkins (1973) illustrated this withspecial reference to West Africa. In countrieswith large numbers of peasant farmers, their

    additional purchasing power stimulates theconsumer goods and service sectors. This effectis not so powerful in countries where a fewpeople control most of the land and hold downagricultural wages, as in parts of Latin Amer-ica, as Tomich et al. (1995) point out. Fortu-nately, this does not apply in most of SSA,where small-scale farming predominates.

    The external economy may also provide in-vestment capital that begins to expand the localurban sector, with port and transport facilities,etc. Smith thought the rapid progress toward

    wealth of our American colonies in the 17thand early 18th century was due to the fact thattheir citizens were able to concentrate theirscarce capital resources on the development ofagriculture (which he saw as its most produc-tive and secure use) because British merchantswere supplying the capital for the much morerisky export tradeships and even warehouses(Smith, 1776, p. 329). The steam ship andrailway expanded the reach of export marketsin Asia in the 19th century, but, aside fromports, major transport and urban infrastructure

    investments for SSA only occurred in the firsthalf of the 20th century.

    Under the stimulus of export markets for aproduct which many can supply, agriculturebegins to become more productive. Initially,there is vacant land farmers can develop forcropping. They are helped by better implementsusually brought in by tradeaxes, metal hoes,animal-drawn ploughs, etc. These are oftenlocally manufactured once the market is es-tablished, though they will only be selectivelyadopted, according to their suitability for the

    land-labor ratios and other local conditions(Pingali, Bigot, & Binswanger, 1987). 7 Farm-ing can therefore begin not only to supply food,

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    but also to release labor to a growing urbansector, which is beginning to produce andsupply consumer goods, services and some ofthe inputs for agriculture, reducing the incon-veniency of self-manufacture, and freeing up

    labor for more intensive farming. The urbansector can begin to grow because farmers arenow becoming a local, effective, cash-earningmarket. The economy is embarking on phase B,in Figure 3.

    In turn, a larger, more productive urbansector enlarges the market for farmers andstimulates them to invest in improvements.Without investments to improve productivity afalling proportion in farming would be unableto supply the needs of a greater proportion inthe nonagricultural sectors. The internal mar-

    ket becomes very large by phase C. At thisstage the manufacturing and service sectors areno longer limited to the agricultural sector fortheir internal market, since they are also sellingto other specialists in the nonfarm sectors. Thesize of the internal market for farm outputdepends on the incomes (and therefore pro-ductivity) of urban people, as well as actualnumbers in towns, since Bennets Law predictsthat as incomes rise, the share of starchy staplesin food declines, and diet shifts toward live-stock products, fruit and vegetables (Tomich

    et al., 1995, p. 163). It is also governed how-ever, by the costs and speed of transport facil-ities for bulky and/or perishable commodities. 8

    Rural should not be equated with agricul-tural. While agricultural activities take placealmost entirely in the rural areas, rural areaswill also develop services and small-scale man-ufacturing activities to meet local needs. Large-scale manufacturing industries will be locatedin urban areas at nodal points on the transportnetwork, to facilitate distribution to a widemarket. 9

    As the manufacturing and service sector in-creases its productivity and income, it attractslabor out of agriculture, leading to the fasterstages of phase B. At some point, even inpopulations that are still growing, the actualnumbers of people performing agriculturaltasks begins to drop, as well as their share inthe work force. There is a growing need foradditional capital to substitute for labor. As anexample, farmers on a new irrigation scheme inMuda, Malaysia, found themselves obliged,during 197479, to begin hiring combine har-

    vesters and other machinery to replace thelabor of sons and daughters who had movedinto a growing industrial sector. 10 Some

    farmers are forced out of farming by their in-ability to finance new capital requirements, ortheir heirs choose to sell up to transfer intoactivities perceived as more profitable. A ten-dency toward larger, capital-intensive farms

    develops as phase C approaches. This paper isnot examining phase C, but concentrates onphase B, as it is likely to develop in SSA.

    (c) The importance of investment and thediffering nature of investments required toimprove agricultural and nonagricultural

    productivity

    While in historical experience the growth ofthe manufacturing and service sector is gener-ally associated with higher incomes per capita,

    this desirable outcome has depended on effec-tive investments in all sectors, and, therefore,on policies that have provided incentives andsecurity for investment in and maintenance ofnew assets, and the availability of informationand education to increase ability to select ef-fective investments.

    Characteristically, but not exclusively, raisingthe productivity of the small-scale farmingsector requires many repeated small privateinvestments (developing new land, acquiring anew tool or other input, increasing the value of

    livestock held, planting and nurturing treeseedlings, etc.). These are barely perceptive tooutsiders, though they can have a significantimpact on production (Tomich et al., 1995, p.21). In some cases the investment can be ofwork for a delayed reward, rather than actualcash. The cumulative size of these incremen-tal and intermittent investments depends onwhether there is an enabling policy environ-ment, which preserves private incentives to in-vest, spreads information about opportunitiesand risks, and improves access to markets. Ef-

    fective private investment in agriculture is mostassisted by appropriate public investmentsoutside agriculture, for example, in communi-cations infrastructure 11 to assist marketingand the gathering of new information. Stateinvestments in primary education can assist inthe uptake and assessment of information.

    Although agricultural investments are typi-cally small and incremental, there are excep-tions. Government investment in large irrigationfacilities has been crucial in Asia, though oftenbeset by difficulties in management and main-

    tenance. The water resources of SSA make itnecessarily more reliant on small-scale irrigationto which farmers can themselves contribute re-

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    sources and management inputs. State invest-ment in research has also been important andcan speed up the development of improved cropvarieties, etc.

    By contrast, large increases in the produc-

    tivity of the industrial and service sector dependcharacteristically, but not exclusively, on large-scale, lumpy, investments in electricity, water,communications, etc., which are typically sup-plied by state, municipal authorities or byshareholders in large private firms (often for-eign in the initial stages). These are beingtermed collective investments, in contrast to thefamily-scale investments in farming. Largecollective investments, like family investments,need good information and risk assessment tosucceed but, as the demands are more complex,

    this requires public and private investments inhigher education for management as well as inprimary education for the workforce.

    (d) Goodness of fit with statistical time series

    It has already been said that the curve inFigure 3 is not based on consistent time units.It is presented to illustrate a pattern, and thesteepness of the slope in phase B will vary ac-cording to the circumstances and policies ofparticular countries. The point at which it levels

    out will depend in part on the size and naturalassets of different countries, and in part on theirpolicies. But, it will always take the form of abackward sloping S, owing to mutually rein-forcing and accelerating impacts of one sectorupon the other. These impacts are related to theefficiency and income effect of the investmentsmade in each sector. They will be less where themajor element in the service sector is an un-productive civil service, or where the state hasinvested in manufacturing projects that fail togive an economic return. The World Bank es-

    timates that the productivity of investment inSSA needs to double (World Bank, 2000a).

    Nevertheless, the model as depicted fits rea-sonably well with data on percentage of thelabor force engaged in agriculture for 1960 and1980. The change in their position is shown bythe arrows on the curve. Low-income countries,less than 18% urbanized in 1960, moved rela-tively slowly in 20 years from 77% engaged inagriculture to 70% in 1980. Lower middle-income countries, less than 38% urbanized in1960, moved more rapidly in the same 20 years

    from 71% in agriculture to 55%. The figures arenot exactly comparable, as some countries havemoved from one category to the other in the

    same 20 years. They tend however, to confirmthe thesis that urbanization and, by implica-tion, the development of the manufacturingand service sector, accelerate, giving rise to theS-shaped curve depicted in Figure 3. They also

    confirm that this process is associated with in-creasing wealth per capita. The agriculturallabor force figures are somewhat suspect, sincethey tend to be worked out as a residual afterthe known workforce in formal sectors havebeen deducted (Tomich et al., 1995). They in-clude many in the nonformal nonagriculturalsector. Hence, the data on urbanization providea better guide to the scale of change, thoughthere are problems with varying definitions ofurban. Figure 2 shows that since 1960 mostSSA countries have become over 30% urban

    and five are over 40%. This implies agriculturallabor occupies no more than 6070% of thelabor force, placing them clearly in the transi-tion phase B of Figure 3.

    3. THE WEAKNESSES OF THESTATISTICAL BASE

    National statistical data have many weak-nesses in SSA (and probably elsewhere).

    (a) Population and labor data

    While the World Bank population and ur-banization figures can be accepted as givingorders of magnitude, they are not safe as ac-curate inputs into mathematical comparisonsbetween countries. 12 Censuses have been in-frequent in many SSA countries. The results arelate in entering national and international sta-tistics. The on-going population transition insome countries, and the AIDS epidemic inothers, have probably lowered annual growth

    rates below estimated rates. The most glaringerrors are in Nigeria, where the census of 1991counted 88.99 million. However, the WorldBank (2002) was still giving 98.98 million as the1991 figure, and adding 2.8% annually till 1997,reducing this by stages to 2.4% in 2000. Thisproduced an estimated population of 127 mil-lion in 2000, whereas a continuous growth rateof 2.4% from the census figure results in 110million. 13 The discrepancy in the divisor affectsall Nigerian per capita data, and even affectsgroup data for SSA, as Nigeria holds 20% of

    the SSA population.Definitions of urban vary by country and

    by census date. Urban in Nigeria in 1963 was

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    defined as agglomerations over 5,000, and over20,000 in 1991. In Niger, in 1988, urban wasplaces of more than 2,500 with a governmentoffice (Republic of Niger, 1992). In Senegal,urban in 1988 meant having a municipal com-

    mune. The second largest city, Touba, a reli-gious rather than administrative headquarters,was administratively rural, though it counted183,000 inhabitants in 1988, (Barry, Ndiaye,Ndiaye, & Tiffen, 2000). By 1999 it was re-ported as 500,000 (Coulon, 1999)not insig-nificant in a country with a total population of10,000,000.

    Employment by sector is generally acknowl-edged to be the weakest part of most censusdata. 14 The percentage living in rural areas canbe taken as the upper limit for agricultural la-

    bor, since the number of rural people whosemain activity is outside farming is almost cer-tainly greater than the number of urban peoplewhose main activity is farming. Many studieshave found considerable rural nonfarm income.In a review of 25 case studies in SSA, at timesvarying from 1974 to 199091, Reardon (1997)found its average share of household income tobe 45%. Bryceson (2002) found higher levels bythe later 1990s in six SSA countries, with 6080% of income from nonagricultural sources. Ifcarried out only in the off-season these activities

    are not competitive with farm labor, but somehousehold members give preference to nonfarmlabor even in the farming season. Demand for

    local retailing, transport, and manufacturesrises when farming areas generate higher out-put and higher incomes. In five villages in Javavisited in 1974 and revisited in 1987, it wasobserved that farm incomes had improved by

    possibly 3050% in real terms, and there wasbetter clothing, wider possession of consumergoods, and better access to education andtransport (Prabowo & McConnell, 1993). Thisobviously meant more employment of ruralteachers, drivers, shopkeepers, etc. and therewere specialized industries in some villages. Onthe Muda irrigation scheme in Malaysia everyadditional $1 earned from improved rice outputgenerated another $0.74 of activities and earn-ings off-scheme (Bell, Hazell, & Slade, 1982).These intersectoral linkages are also noted in

    SSA (Barrett, Reardon, & Webb, 2001) butthese often informal activities may not becaught in official statistics.

    (b) Agricultural output, food imports andcontribution to the GDP

    Agricultural output is notoriously difficult toestimate. The amounts consumed on farm ortraded domestically are likely to be underesti-mated. Figure 4 shows the value of agriculturalexports as a percentage of agricultural GDP for

    1995. It is immediately apparent that Zimba-bwe and Malawi were not valuing their locallyconsumed crops and livestock. 15 A survey in a

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    Figure 4. Agricultural exports as a percentage of agricultural GDP in largest SSA countries, in 1995. Source: Con-structed from World Bank (2000) (data not available in 2002 version).

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    tobacco growing area of Malawi found that just over 40% of farmers income came fromcrop sales, of which only 15% in 1990 and 9% in2000 came from the export crop, tobacco. Thefield pea contribution was 10% in 1990 and 23%

    in 2000 but until 1998 this crop was not offi-cially recorded (Orr & Mwale, 2001).

    Despite the growing urban population, who,being slightly better off, consume more high-value foods and beverages than rural people,food imports have generally remained in arange of $3$10 per head (Figure 4) since1980. 16 Food import data in countries withlimited import routes are likely to be more re-liable than food production data, but not allcountries measure imports. Calculations from(World Bank, 2002) show that among the nine

    large countries supplying this data, in eight,food imports per capita have been static orfalling since the mid 1980s, Kenya being apossible exception. In most they have remainedbelow $10 per capita, in constant 1995 US$.Senegal, where policy favored rice imports toincrease specialization on groundnuts, is ex-ceptional with a level generally above $25 percapita, though it seems to have fallen since thedevaluation of the FCFA in 1994. Nigeria, upat nearly $35 in 198182, fell back to $48 aftersuccessive devaluations. Some temporary rises

    due to droughts can be seen, particularlymarked for Zimbabwe, 198991. The implica-tion is that in most countries, farmers have keptup with the level of demand, and changes in itsnature, with variations in part due to policies,and occasionally to drought. This is incom-patible with the calculated volume of foodoutput by major crop given in Tables 86(World Bank, 2002), (which quotes FAO data).This shows annual percentage growth in almostall cases of less than 1%, which is certainly lessthan population increase. Static per capita

    production implies an annual growth in foodcrops equal to population growth, unless im-ports are rising. 17

    Farmers might meet internal demand with-out increasing productivity if they transfer re-sources from export crops to food crops. But,volumes for three main exports, cocoa, cottonand coffee, 196897 were maintained (WorldBank, 2002). Groundnut exports fell sub-stantially during 196878, stabilized 197888and fell again somewhat during 198898. Ourstudies show more of the crop going to meet

    local demand, but falls in export prices androsette disease in Nigeria in the 1970s are otherfactors.

    If we ignore the countries with obvious errorsin Figure 4, most countries are not exportingmore than 20% of agricultural productionvalue, so 80% is locally consumed. Crops in-ternally consumed are now much more impor-

    tant than crops exported, as we should expectto happen with countries in the transition phaseB depicted in Figure 3.

    4. FARMERS INVESTMENTS INRESPONSES TO CHANGING MARKETS

    IN FOUR SEMI-ARID DISTRICTS OF SSA

    Given the deficiencies in national data, theprocesses of change are best understood andtested against the model in Figure 3 at a district

    level. At this level sample data from villages canbe related to district statistics and, therefore, tothe national statistics built up from them. Thishas been done for four semi-arid areas, 19602000. These are Makueni District, Kenya,Diourbel Region, Senegal, Maradi Depart-ment, Niger and the Kano hinterland, Nigeria.

    Farmers in these areas are restricted in thecrops they can grow, unless they have access topockets of irrigable or water-retentive land.The main crops are cereals and pulses, low invalue in relation to bulk, but capable also of

    providing fodder to livestock. In the past themain export crop was groundnuts, and inMakueni, cotton. Three districts have one shortfarming season lasting three to five months, butMakueni has two wet seasons of about threemonths each. Rainfall is very variable fromyear to year, giving a risk of crop failure.Nevertheless semi-arid areas contain largepopulations, with particularly high densities inthe hinterlands of Kano in northern Nigeriaand Dakar in Senegal.

    In terms of the model, we are particularly

    interested to see whether there has been esca-lating growth in urban populations. If so, weneed to see if farmers have been making theappropriate private investments to respond to agrowing urban market for both their productsand their labor, or if they have been held backby deficiencies in policy, or in the governmentsupply of some of the services identified asparticularly necessary. Changes in land marketsshould also occur as land becomes more scarce,and in labor disposition if urban occupationsbecome more attractive. Second, we need to see

    if the collective investments and policies re-quired to make the growing nonfarm sectormore productive are in place, so that it can

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    both provide jobs for people leaving the farms,and a growing market for higher value farmproduce such as livestock, fruit and vegetables.

    The studies were carried out by teams ofscientists from the countries concerned, profil-

    ing particular aspects of change, 19602000,using methods and data appropriate to thesubject matter. This included literature reviews;collection, discussion and analysis of districtdata with the appropriate government office;air photo and remote sensing interpretation;and collective interviews and sample surveys of1012 randomly selected farmers in four rep-resentative villages. 18 The country team lead-ers were Francis Gichuki (Kenya), Abdou Falland Adama Faye (Senegal) and Yamba Bou-bacar (Niger), who collaborated with Drylands

    Research in developing from the profiles threenational syntheses, using the findings to traceand understand socioeconomic and environ-mental change in its various interactions overtime. The Nigerian study was limited, for fi-nancial reasons, to five profiles, which includedan in-depth study of the marketing of foodcrops and livestock in the Kano area and areview of policy. Findings were checked by oneor more workshops in which District officialsand farmer representatives took part. DFIDalso provided funds for endorsement exercises

    in the local constituencies in 200102.

    (a) Changes in rural and urban population and inurban demand

    Rapid growth of the local towns occurred inthree of the four study areas, with urban pop-ulation being now 30% or over in two cases(Table 1).

    The increase in the urban market over time isparticularly visible in northern Nigeria andSenegal, but the outcome in terms of effective

    demand for local farm produce differed. Table1 shows the increase in local urban grain re-quirements estimated at 200 kg/head. During195291 the urban population of the two statesconstituted from the colonial Kano Provinceincreased at about 8% per year, while the ruralincrease was nearer 1.6%. In 1952 Kano mu-nicipality was the only town with more than20,000 inhabitants; by 1991 it had been joinedby 11 others (Tiffen, 2001). To cater solely forthe local towns, each rural family needed tosupply 10 times as much grain to urban mar-

    kets on average in 1991 compared with 1952. Inaddition, they were supplying grains and pulses(especially maize and cowpeas) to the even

    more urbanized southern Nigeria (Ariyo, Voh,& Ahmed, 2001). If Nigerian farmers as awhole had failed to invest, food imports wouldhave increased dramatically, but this has notbeen the case. In the late 1960s Nigerias food

    imports were $2$3 per capita (World Bank,2000a, 2000b, 2000c). Figure 5 has shown thatalthough these billowed during the petroleumboom and while the currency was overvalued,in the 1990s they were running at only $5$8per capita (all in constant 1995$). Given thatthe import figure includes all foods and bever-ages, this does not suggest a large import ofstaple grains. The scale of the increased pro-duction demanded from farmers is understatedin Table 1, as not all families living in towns ofless than 20,000 are primarily engaged in agri-

    culture. It also takes no account of industrialneeds. Maize, sorghum and millet are impor-tant inputs into large commercial brewing,flour milling and animal foodstuff enterprises(Swindell, Iliya, & Mamman, 1999).

    Crop production data for the Kano area wasonly available to us 198290 (World Bank,1995), when yields were strongly linked withrainfall (Tiffen & Mortimore, 2002). But, forMaradi, Niger, there is a series of District fig-ures running from 1964 to 1998. These showthe expected variation in production per capita

    (taking the total population) from year to year,under the influence of rainfall variation. Theyalso show that, after recovery from thedroughts in the early 1970s, farmers upped theirproduction to average around 300 kg/capita,(Mortimore, Tiffen, Boubacar, & Nelson, 2001)despite a growing rural population, and despitethe virtual cessation of supportive projects after1985, under structural adjustment (Hamadou,2000a; Figures 4 and 5). This must mean thatthey saw an incentive to increase their sales.

    The net sellers of grain to the towns are not

    evenly distributed among the rural population.In a large CARE sample in Maradi in 1996 thefamilies defined as the most vulnerable (56%)produced 125 kg cereals/capita, against amoderately poor group (27%) who produced311 kg, and a relatively well-off group of 17%who produced 580 kg/capita (CARE Interna-tional au Niger & Universitee dArizona, 1997).The average was 252 kg/capita, in a somewhatbelow average rainfall year. Food selling wasnear universal but if one estimates per capitaneeds at 200 kg/capita/annum, it is apparent

    that quite large numbers of rural families arenet buyers of cereals, and that a minority arenet sellers. 19 Maradi town has grown, but

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    Table 1. Population and urban grain demand per rural person in four semi-arid areas

    Total Urbana % Urban Urban growth p.a.

    Kano Province 1952 3,396,350 130,173 3.8

    Kano and Jigawa States 1991 8,685,995 2,516,686 29.0 7.9

    Maradi 1960 (estimate) 561,000

    1977 949,747 44,459 4.7

    1988 1,389,443 110,739 8.0 8.7

    Diourbel 1960 (estimate) 261,000 n.a. n.a.

    1976 423,038 120,249 28.4

    1988 620,197 251,799 40.6 6.9

    Makueni (dryland only) 1962 170,717

    1989 524,025

    Source: Calculated from census data: summaries in Gichuki (2000a), Barry et al. (2000) and Tiffen (2001).a The 1991 Nigerian urban definition as settlements of over 20,000 is here applied to all data, regardless of country and time dsize.b Grain need assumed as 200 kg per head per year. Urban demand at this level has been divided by rural population. To get dmultiply this up by family size, which varies by country.

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    important influences on farmers are the largetowns across the border in Katsina State, Ni-geria. Grains and pulses flow in both directions,depending on harvest conditions, prices, andexchange rate differences (Meagher, 1997).

    Most Maradi farmers have relatively smallfarms. Cereal yields are in the order of 300500kg/ha, which gives an idea of the modestcropped hectares in families producing 125600kg/head. The distinguishing characteristic oflarge sellers is their good management quality,

    which has enabled them to accumulate re-sources (from livestock sales, crop productionor nonfarm incomes) for investment in inten-sification. Farmers of one southern Maradivillage said, in discussing the findings of theresearch, that farming was only profitable forthose who had the means to invest, and thosewho could await a favorable moment for sell-ing. Commerce, crop farming and livestockraising could not be disassociated (Boubacar &Ibrahim, 2002).

    In northern Nigeria the most efficient farms

    were found to be most numerous in high-den-sity areas with good market facilities. Thesehad smaller than average farms with 4.4 ha asagainst the average in the sample of 5.8 ha(Okike et al., 2001). There are larger farms inthe vicinity of some big cities, encouraged bythe state, where entrepreneurs, variously fromtrade, the old aristocracy, modern business orthe civil service and army, bought land in the1980s and invested heavily in mechanized farmsusing hired labor, in response to a perceivedgrowing and profitable demand for millet and

    other staples. In the 1990s their average size inthe vicinity of Sokoto had been reduced to 2050 ha because of rising costs of fuel, shortage of

    spare parts, and high wage bills (Swindell et al.,1999), a trend also noted by Balcet (1997). Asudden burgeoning of large-scale farms wasalso seen round Kano but they were estimatedto account for only 5% of total agriculturalproduction. Mustapha and Meagher (2000)noted that many of these modern enterprisesfoundered when state support was reduced inthe aftermath of falling oil prices. A particularfeature in northern Nigeria has been the bur-geoning of fadama farming (on low-lying or

    riverine land), utilizing small pumps to raisegroundwater, to irrigate wheat and vegetables.This demands large inputs into small areas(generally less than one ha) but leads to veryprofitable sales to the towns (Swindell et al.,1999; World Bank, 1995).

    Local urban growth was also very substantialin Diourbel, Senegal, due largely to the new cityof Touba as well as growth in the two of thethree older departmental towns (Barry et al.,2000). In addition, farmers had easy access tothe expanding capital, Dakar. But, there was

    almost no urban market for the grain theycould produce, millet, due to the long-estab-lished preference for rice. While they main-tained output of millet per agricultural worker196092 at around 500 kg for family use(weather permitting), output per total popula-tion fell to around 100 kg (Faye, Fall, Morti-more, Tiffen, & Nelson, 2001, Figure 14). Themarket for groundnuts as a local cooking oiland ingredient was distorted by governmentefforts to channel all groundnuts to state oilmills, whose high processing costs mean that

    urban consumers preferred cheaper importedoils (Gaye, 2000). Hence, the main local impactof urbanization was on demand for meat, par-

    Figure 5. Structure of incomes by type of household, Diourbel, 19992000. Source: Faye and Fall (2000), Figure 1.Household types as in Table 2.

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    ticularly after the devaluation of the FCFAmade imported meat more expensive. Fromerratic figures available from the veterinarydepartment, small livestock increased from100140,000 196672 to 200250,000 in the

    1990s. (Cattle numbers were relatively static;holdings of equines grew somewhat, Faye, Fall,& Coulibaly, 2000). Sales were not equallydistributed, for it was only the farmers who hadthe resources to invest in livestock, concen-trated among those who did not usually have tobuy in grain, who were able to go in for sub-stantial livestock fattening (Figure 5). As inNigeria, there are some much larger, moremechanized farms, operated mainly by religiousleaders and businessmen, whom we excludedfrom the sample. In the early 1970s these only

    produced a small proportion of the groundnutcrop (OBrien, 1975), but the current position isnot known.

    The exception to local urban growth wasMakueni, in Kenya. This part of the formerMachakos District had experienced an influx ofrural settlers 195090 (Tiffen, Mortimore, &Gichuki, 1994). Neither Wote, which was madethe capital of the newly formed Makueni dis-trict in 1992, nor any of the settlements alongthe NairobiMombasa highway on its southernedge, had attained a population of 20,000 by

    the 1989 census. It may be significant that,unlike the district towns in the other threecountries, there had been no collective urbaninvestment to 1998 in electricity, telephones,etc., 20 so, even on the highway, enterpriseswere limited to services to travelers, marketing,and such crafts and small industries as canoperate competitively without power.

    In Kenya as a whole, Figure 2 shows thaturbanization was estimated at 30% by 2000.Makueni farmers had some access, over poorroads, to Mombasa and Nairobi, for their

    higher value crops such as fruit and vegetablesbut had no comparative advantage in produ-cing maize for these towns (Gichuki, Mbogoh,Tiffen, & Mortimore, 2000). Mbogoh (2000)found cereal production per person since thedistrict was formed in 1992 varied enormouslyfrom year to year, according to district statistics(which are no more than guestimates). 21 Theaverage grain and pulse production 199298

    just about met district needs taking all yearstogether. In some years however, farmers werenet buyers of cereals and beans (and forced

    sellers of livestock) while in other years theycould sell grains and restock on animals. Un-fortunately, livestock disease could wipe out

    their insurance against crop failure (Fall, 2000).In the worst years, many were dependent onfood aid from relatives or the government.

    (b) Farmers as investors

    As business managers, farmers have to decidehow to react to changing product and factormarkets, and whether, and in what, to invest.

    In northern Nigeria growing food demandhas been met by complementary farm invest-ments, despite having to cope with frequentchanges and reverses in government policieswhich have affected the level and competitive-ness of food imports, the cost and availabilityof farm labor, the subsidization or not of fer-tilizer and other inputs, etc. (Mustapha &

    Meagher, 2000). In response to the laborshortage induced by the urban-centered infra-structural petroleum boom in the 1970s, Kanofarmers invested to a very considerable extentin buying or hiring ox-drawn equipment, pre-viously rare in the Kano-close settled zone.Maize, a minor crop in 1979, became a majorcrop in suitable areas by 1989, as farmersadopted a new variety (TZB) that was veryresponsive to fertilizer, subsidized at the time(Smith, Barau, Goldman, & Mareck, 1994).When the fertilizer price was raised, farmers

    reduced its usage,22

    and reverted to older tech-niques of maintaining fertility, long practiced inthe densely settled area around Kano (Morti-more, 1993). They selected and crossed new andold varieties of seed that best matched theirecological niche and changed economic cir-cumstances (Mortimore & Adams, 1999), whilealso adopting new crops such as soya beans(Balcet, 1997).

    Farmers have also responded to the growingdemand for meat. The most efficient farms,with the highest gross revenue per ha and the

    highest net revenue per farm, were those pur-chasing in the most crop residues and otherinputs, to maintain more than double the av-erage number of livestock in addition to crops,using three times as much manure as the aver-age and more days of animal traction (usuallyhired) (Okike et al., 2001). Areas of commongrazing in the densely settled Kano and Jigawastates are very limited, but 1984 data show thehigh numbers of livestock kept on farms withsome water-retentive land (2040% of suchhouseholds had cattle, and 7590% had around

    15 sheep and goats) (World Bank, 1995, Table3.8). The livestock are penned to maximizemanure collection and to fatten up quickly. The

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    high inputs of labor this requires for feedingand watering, as compared with herding(Mortimore & Adams, 1999) is only worthwhileif there is an active market for livestock as wellas cereals. There is now an active market for

    crop residues, with prices higher for groundnutand cowpea hay than for grain (Baba & Mag-aji, 1998). Farmers have recently shown interestin a new cowpea variety that gives more fodder,though it requires spraying (Singh, Larbi,Tabo, & Dixon, 2001).

    Farmers in Diourbel, Senegal, also calculatethe returns to different farm enterprises andtechnologies and invest accordingly. In the1960s through to the 1990s, Senegal farmersweighed up the value of investing in fertilizer inrelation to its price and groundnut prices, and

    the merits of heavy versus light ploughs, or inbuying a plough versus a cart for transport(Faye et al., 2001). In response to the growingurban market for meat, and the rising price ofmutton, many in this so-called groundnut basinhad by the 1990s decided to go in for animal

    fattening. Schoonmaker Freudenberger andSchoonmaker Freudenberger (1993) reportedhow families in a village to the north ofDiourbel said it was better to invest in fivelambs than to seed an area with 500 kg of

    groundnuts. Livestock have become a majorelement in farm incomes of the better off, asshown in Figure 5. By 1999 much of theirgroundnut production was not sold for export,but consumed locally as nuts or oil, with thecake and hay providing valuable fodder sup-porting their livestock enterprises (Faye, 2002;Faye & Fall, 2000). Their investments havefollowed suit, as shown in Table 2. It is notsurprising that the poorest spend little on farminputs, but it is worthy of note that the in-vestments of the middle and better-off segments

    get directed toward livestock rather than cropenterprises.

    The way farmers plan, assess, invest overtime and juggle resources, was particularly il-lustrated in the Makueni study. Farmers wereasked to identify the three most important past

    Table 2. Use of money income by 38 Diourbel farmers (19992000)

    Type of householda Type 1 Type 2 Type 3

    Household characteristics

    Percentage of sample in this type 29.4 41.2 29.4

    Estimated income per head in past year (FCFA) 46,456 64,054 91,019

    Months own millet and groundnuts met family needs

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    investments contributing to their welfare. Ter-racing, planting trees, clearing bush, building ahouse, and educating children topped thecharts (Nelson, 2000). Clearing bush and

    building a house were preliminary investments.Terraces, trees and education came in laterstages. On the farms in the sample, the con-struction of terraces and drains had taken, perha, 3060 man days and Kenya shillings 5,0009,000 (Gichuki, 2000b), and had been graduallyextended to all their cropped land. All farmershad planted fruit trees, ranging from three onvery small farms to over 200 on some largerones. This involves considerable investment inlabor for planting pits and watering during es-tablishment, as well as manure and seedling

    purchase. Half the sample had made invest-ments intended to improve output even duringthe difficult 1990s, bunched in years giving agood harvest. All farmers could readily identifythe next one or two investments they wanted tomake when resources became available. Thesewere mainly related to equipment (67%), inputs(17%) and granaries (13%), needed to increasetheir output of cereals and pulses (Mbogoh,2000). A good half of the finance for their in-vestments came from nonfarm income (Nelson,2000), which in bad years gets taken up by

    consumption needs.In Maradi, the main investment initially was

    in clearing new land for cultivation, within the

    village area while available, later further north.The process is made visible by air photographand satellite data (Figure 6). In one of the fourvillages, Jiratawa, there was also project in-

    vestment in an irrigation scheme, but the otherswere unassisted. Owing to the availability tillrecently of land that could be fallowed orcleared, investment in intensification is only justbeginning. Investments in equipment (Table 3)have accelerated since the devaluation of theFCFA, which, as in Burkina Faso (Hoffmann,1998) and Senegal, has resulted in improvedprices for local livestock and grains (Kherallah,Delgado, Gabre-Madhin, Minot, & Johnson,2000).

    The volume of farm investment in the dis-

    tricts over the 40 years could not be calculated,but it was certainly substantial in Makueni,Maradi and the Kano area. In Makueni andMaradi, credit was unimportant, and financecame from crop and livestock sales, familytransfers, and use of nonfarm income. We haveno data on the role of credit in the Kano area,but some was available. Credit was part of thestate-imposed system in Diourbel, c196580,when all producers had to belong to a co-operative, which provided inputs on credit, andsold output at controlled, low, prices. In bad

    years, farmers were obliged to default, eventu-ally bringing about the bankruptcy of the re-sponsible state organization (which was also

    Figure 6. Expansion of cultivation in four terroirs, Maradi Department, Niger, 195799, in four cultivation frequencyclasses (percent of area). Source: Mahamane (2001): Tables 5, 7, 9, 11. Villages arranged from south to north. No data

    are available for Jiratawa in 1957.

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    overstaffed, inefficient and corrupt) and impel-ling Senegal to adopt drastic retrenchmentpolicies (Gaye, 2000).

    The important role of livestock, themselves a

    form of capital and an insurance substitute, butalso demanding capital for replacement andmaintenance, was evident in all the districts.But, in lowland Makueni, Kenya, livestockappeared particularly vulnerable to disease,and many farmers had experienced substantialstock losses. Some farmers in the limited areaswith suitable topography had built small damsto water crossbred cows, to take advantage ofthe recently improved milk market when theMarketing Boards monopoly of urban saleswas abolished, and these also invested in

    spraying equipment and veterinary supplies.For most farmers, dairying was too hazardous(Fall, 2000; Mbogoh, 2000).

    (c) Exports versus local urban markets

    Exports overseas have become less importantin the 1990s compared to 196070 (Maradifarmers still export, but to towns just over theborder in Nigeria). Nigerian groundnut exportsfell drastically due to rosette disease in the early

    1970s. The crop is now reviving, with the aid ofnew resistant varieties, there and in Maradi, butsales are oriented to the towns (Ariyo et al.,2001; Hamadou, 2000a). Even in Diourbel,Senegal, where the Government has continuedto view groundnuts as an export crop, manyfarmers grow it, but do not sell (Faye & Fall,2000), and they rank its uses as food, fodderand then cash (Faye, 2002). In Makueni, cottonwas briefly promoted as a cash crop under anaid program 197887 but collapsed due to latepayments by the responsible parastatal (Tiffen

    et al., 1994). Some farmers would be glad if aginnery could be re-established locally (Gichukiet al., 2000).

    (d) Changes in the land market and in incomedistribution

    Land scarcity has developed everywhere, due

    to a slow increase in rural population and im-proved market access, which has increased thevalue of output, and encouraged farm expan-sion when land was available. As a result, landhas become a marketable commodity, in allfour of the areas examined. This has been leastthe case in the Diourbel Region, partly becauseof the 1964 Senegal statute ascribing ownershipto the state and user rights to the user, but alsobecause state policies have in various ways de-creased the profitability of groundnut andmillet sales, leading to substantial emigration

    out of farming23

    (Faye et al., 2001). There hasnot been the same competition to obtain landfor young families, or to retain land, as in theother three districts.

    In the other three areas the land market isactive. Intensification increasingly needs cash tobuy labor, inputs, equipment and livestock, inaddition to, or in substitution for, labor for adelayed reward. Not all farmers have been ableto find the resources and to manage the asso-ciated risks. Even in Maradi, where intensifi-cation is at an early stage, some poor farmers

    have had to sell fields to the more successful(Boubacar, 2000). In the Kano area, somefarmers have been less able to cope than otherswith the rapid changes in matters such as fer-tilizer prices, product prices, etc., and Meagherand Mustapha (1997) noted increased incomedifferentiation in one village, between 198990and 199293, between small farmers who hadto buy in food at rising prices, and largerfarmers, who were better able to play themarkets. Farmers, or their heirs, who inheritsmaller farms, if unable to find the necessary

    capital to intensify production from a smallland holding, are increasingly forced to look toother occupations for a living, and some prefer,

    Table 3. Years in which 40 interviewed farmers acquired new capital equipment in Maradi, Nigera

    Plough oxen Ox cart Heavy plough

    (charrue)

    Light plough

    (houe)

    Bicycle Motor cycle

    To 1994 1 8 10 4 2 0

    After 1994 18 9 2 34 6 4Source: Hamadou (2000b).a The FCFA was devalued in January 1994, and 1994 was counted in the pre-devaluation epoch, on the suppositionthat its effects on prices might not be immediate. (Shaikh & McGahuey, 1996 actually found some pretty immediateincreases in water conservation techniques for cereals in western Niger.) The heavy plough had been promoted, andcredit provided, under a project, which ceased operation in 1987.

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    or are forced, to sell up. Near Sokoto andGusau, in northwest Nigeria, some farms havediminished in size to a garden plot, and themain income is earned by agricultural wagelabor or other labor. These areas also have

    many intermediate viable small farms, andsome large capitalized farms. In the rapidlychanging job and land market of Nigeria, af-fected by petroleum booms and busts, inflation,import bans and relaxations, voluntary buyersand sellers of land may come to regret theirdecisions, but the worst sufferers are often thosewhose land has been forcibly taken over by thestate (Iliya & Swindell, 1997), often withoutcompensation, to accommodate urban expan-sion.

    (e) The labor market, specialization anddiversification of incomes

    In Nigeria, census data showed averagefamily size of five in Jigawa, and 5.4 in Kano,with the (male) household head said to consti-tute 7080% of its economically active workforce. 24 In Makueni, the resident family was5.8, including two adult workers and childrenin school. These figures do not suggest anabundance of labor on family farms. In all fourcountries the farm household was also finan-

    cially and emotionally linked to adult childrenand/or spouses who worked elsewhere either ascommuters, or for part of the year, or as per-manent urban residents. Family labor has to becarefully allocated across occupations, and de-cisions have to be made as to whether to utilizechild labor, or forgo it in favor of sendingchildren to school.

    The model in Figure 3 was built on thepremise that specialization brings benefits. It isapparent that farmer households in semi-aridareas do not specialize in the sense of only

    growing crops or only rearing livestock, nor inthe sense of relying only on farm income. Theseparation of farming and herding made sensein semi-arid areas in phase A with low popu-lation density and limited access to markets forfarm products, but in phase B, in semi-aridareas, the integration of crops and livestock bysmallholders becomes advantageous to providemanure and draught power, the more so astheir main crops also provide animal feed. 25 InMaradi, many settled Hausa farmers were ac-quiring cattle, and many Fulani herders were

    cultivating crops around a camp that was be-coming permanent (CARE International auNiger & Universitee dArizona, 1997; Morti-

    more et al., 2001). Studies of Fulani livestockraisers in reserves in northern Nigeria showboth they and the farmers outside the reservenow combine livestock and cropping, in a va-riety of ways (Baba & Magaji, 1998; Hassan,

    Hoffmann, & Steinbach, 1998). If it is not acontradiction in terms, semi-arid farmers havebecome specialists in mixed farming and crop-livestock integration.

    In semi-arid areas with variable rainfall, in-come diversification, in the sense of combiningfarming and nonfarm activities within onehousehold, has advantages, particularly byspreading risk. A Makueni farmer said Whenthere is a drought, I lose as a farmer, but as ateacher, I never experience that drought. I stillget my salary and can survive better than if I

    was only a farmer (Nzioka, 2000, p. 12). Ellis(2000, p. 5) points out that this cuts across theview that specialization and market exchangesare the way to higher incomes and improvedwelfare, and it might therefore be thought to bein contradiction with the economic logic behindFigure 3. We must distinguish, however, be-tween household and individual specialization.In the Kenyan case quoted above, the husbandconcentrated on teaching, and his wife onfarming, and they both benefited from sharingresources. 26 In other cases, a second activity

    may be carried out in a different seasona manfarms in the wet season, and trades in the dry,so he can give full attention to each in turn.Indeed, by turning over his capital several timesin the dry season, he gains additional resourcesto buy inputs for the farming season. 27 It isnecessary again to distinguish between thosewho sell small amounts out of necessity, andthose who buy in from others and trade on aconsiderable scale. The latter are generally inthe upper echelons of small farmers. CAREInternational au Niger and Universitee dAri-

    zona (1997) found grain sold by even in themost vulnerable households (56% of their Ma-radi sample) 28 who had then to finance bysome means or another grain purchases later. Afew people in this group and the middle group(27%) were able to buy on a larger scale, as anagent of a bigger trader who advanced themmoney. Wholesaler traders who bought andresold hundreds of sacks of grain on their ownaccount were almost all in the riches paysanscategory (17%).

    It has been observed that diversification does

    not necessarily level rural incomes. There isoften a U-shaped relationship in which theproportion of nonfarm in total farm household

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    income is high for both rich and poor, andlower in the middle groups (Barrett, Bezuneh,Clay, & Reardon, 2000; Bryceson, 2002; Iliya &Swindell, 1997; Reardon, Taylor, Stamoulis,Lanjouw, & Balisacan, 2000; Toulmin et al.,

    2000). When diversification is driven by des-peration, families try to cobble together a livingby farming, working for others, collecting,hawking, handicrafts etc., and each activitymay impede good achievement in the others.Ellis (2000) refers to the key difference betweenindividual diversification and low levels of skill,associated with poverty, and household diver-sification, in which individuals specialize, whichis associated with the better off. In Nigeria, themost successful farmers were those who hadwithin their household someone in well-paid or

    middling formal sector jobs, or in trading andcontracting, which provided a cash flow to fi-nance farm inputs. These households containedindividual specialists, backed by accumulatedcapital or skills, while in poorer householdspeople scramble for casual labor alongside theirown farming (Iliya & Swindell, 1997). This wasalso the case in western Kenya (Hamilton,2003). In Coote dIvoire a middle group of spe-cialist farmers could also be distinguished(Barrett, Bezuneh, & Aboud, 2001).

    In Senegal, Table 3 and Figure 5 show that

    the poorer households in Group 1 scraped aliving from a diversity of local occupations. Thewealthier households in Group 3, who wereinvesting most in livestock, tended to have mostof their nonfarm income in the form of remit-tances from urban-based children. Those inresidence concentrated on farming, but in allhouseholds, around a fifth of the family workforce was absent in the farming season (Table3). Farmers in Diourbel calculate the oppor-tunity cost of using their sons labor on thefarm or encouraging them to migrate to urban

    areas or, if they can manage the higher cost,overseas. Some of the ceremonial expenseslisted in Table 4 support the Mouride leader-ship in construction and merchant enterprisesin Dakar, Touba and overseas, where pettytrading, transporting, laboring, etc. provideincome to adherents despite lack of formalqualifications (Babou, 2002; Wilson Fall, 2000).

    A remarkable difference between Kenya andthe two francophone countries was in invest-ment in education. Makueni parents investedheavily in educating all their children, boys and

    girls, motivated in part by the hope of quali-fying one or more to compete successfully for askilled or professional occupation (Nzioka,

    2000). They were well aware that their childrenwould need nonfarm incomes and, despite highcosts, sent all boys and girls to primary school,most to nursery school, and 2030% to sec-ondary school (with an anxious eye on the job

    market, to see if the latter was cost-effective).29

    Education was regarded as a priority expendi-ture; and farm investments got what was leftover (Nzioka, 2000; Gichuki et al., 2000). Onaverage the household included two nonresi-dents, and while 23% of these worked on familyfarms elsewhere, 30 26% were in urban em-ployment in the private sector, and 10% in ur-ban-based government employment. Due to thelack of local towns, rural businesses and gov-ernment services provided comparatively few

    jobs (Nzioka, 2000). Educated children in jobs

    were expected to, and did, assist their parentswith emergency expenditures, and, importantly,with financial resources for investments to im-prove the farm (Nelson, 2000; Nzioka, 2000).This is household diversification, with individ-ual specialization. A similar value was placedon education in western Kenya (Francis, 2000;Hamilton, 2003).

    In Diourbel and Maradi the nonfarm occu-pations open to the illiterate young were mainlyunskilled labor and petty trading. Rural par-ents did not see their children as likely to suc-

    ceed in academically-oriented schooling, whichstarts from day one in French. Hence, migrat-ing rural children can contribute less to theproductivity of the urban work force in Senegaland Niger than in Kenya. With unskilled jobs,their small remittances assist subsistence, notfarm investment (David & Niang, 1995; DiarraDoka, 2001; Wilson Fall, 2000). Nigeria is anintermediate position, with some families ableto access jobs through education, and othersinvesting in traditional clientage relationshipsto access less skilled work or to get into trade.

    In Nigeria, as in Kenya, nonfarm earnings fi-nanced farm investments (Iliya & Swindell,1997).

    The market for farm labor has also becomeimportant, as efficient farmers need to buy inlabor at crucial times or for special tasks. InMakueni we found wages varied according todemand, level of skill and value of marginaloutput (Nelson, 2000). Similar wage variationwas noted in Nigeria, where the agriculturallabor market centers on towns, where it iseasiest for seekers of employment and seekers

    of labor to meet. Farmers with very small farmscould intercalate work on these with work forothers, and because of their experience, were

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    preferred to cheaper student labor (Swindellet al., 1999).

    5. CONCLUSIONS AND POLICY

    IMPLICATIONS

    We need to understand the interrelationshipof the agricultural and nonagricultural sectorsat different points in time as population grows,and redistributes itself between urban andrural. When the current round of censuseshas been analyzed, we shall probably find moreevidence of rapid change, and governmentsneed to be ready with appropriate policies. Thegrowth of the local urban market in SSA hasbeen demonstrated. Policies which increase the

    purchasing power of local urban communitiesare becoming more relevant than export-oriented ones. The recent drops in livestockturnover in northern Nigeria due to fallingurban incomes (Ariyo et al., 2001) affect notmerely farmers incomes, but also their abilityto insure, and to maintain soil fertility.

    Farmers have responded to increased de-mand by a multitude of small investmentslinked to changes in technologies and in prod-ucts, but they have been hindered by statecontrol of markets (as in Senegal) or rapidly

    changing policies, exchange rates and inflation(Nigeria, and to a lesser extent, Kenya). Agri-cultural output can now only be increased byvery efficient combinations of land, labor andcapital. Those farmers who cannot invest areincreasingly being forced out of farming. Someof the children of even the prosperous farmerwill need, or be attracted to, other livelihoods.The rural poorest need a vibrant nonfarm sec-tor.

    The appropriate areas for government andaid-assisted investment need to be identified

    bearing in mind both the different types of in-vestment most required by farm and nonfarmsectors, and the changing urbanrural balance.For some countries, such as Niger, the em-phasis must still be the enabling environment toallow small farmers to build up their farms, andbecome buyers of urban services and manu-factures. Other countries now need to givemore attention to attracting collective resourcesto develop the urban sector, while at the sametime protecting farmers capacity to invest tomeet urban demand. Priorities for constrained

    government and aid budgets must be the ser-vices and infrastructures which enable citizensto make full use of their own talents, ingenuity

    and resources (Drylands Research, 2001).Communications infrastructure, (roads andtelephones), primary education, law and order,and good management of the currency areneeded by all sectors, and by farmers as well as

    industrialists. The interaction between the twosectors depends on good communications.Roads usable by lorries remain vitally impor-tant both to farmers (Omamo, 1998) and urbanconsumers. Education benefits both, if its con-tent and language are appropriate. Farmers inKenya find education, which starts in locallanguages, worthwhile for their children, andinvest their own money in building schools andpaying fees (Gichuki et al ., 2000; Nzioka,2000). Swahili, like Hausa, gives access towritten information in newspapers, advertise-

    ments, etc. Their adult children and spouseshad a great variety of occupations. Farmers inthe Sahel are not convinced of the benefit offree education starting in French, but illiter-acy cuts them off from written information,(whether on a fertilizer label or in the accountsof their groupement dinteereet eeconomique), andfrom the better-paying nonfarm jobs.

    While farmers can usually find family re-sources for a profitable investment, some ser-vices and investments can better be suppliedcollectively. Examples are preventative veteri-

    nary services, some types of water develop-ment, and research.

    Turning to nonfarm sectors, it is clear thatrural families, and especially the poorer ones,rely in part on nonfarm income, preferably in anearby town or village, if not, in a more distantcity. 31 Premature, state-led industrializationhas a poor record. By 1986 most of the state-promoted industries in Maradi town, set up inthe late colonial period, or during the uraniumboom had closed, and most employment was inthe informal sector (Greegoire, 1990; Tiffen,

    2001). In Senegal, the modern industrial sectorwas for various reasons uncompetitive, over-regulated, and suffered from a domestic mar-ket that was highly restricted by low-incomes(Bertheelemy, Seck, & Vourch, 1996, p. 100), sofailed to expand. Nigeria has conditions moreconducive to successful industrialization, andthe modern sector expanded in Kano duringthe oil boom, with both state and private cap-ital, but import-reliant industries suffered in the1980s from shortages of raw materials, lead-ing to retrenchment of workers, underutiliza-

    tion of capacity, and closures. While sectorsdependent on local raw materials did some-what better (Olukoshi, 1996), modern industrial

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    establishments fell from 327 in 1989 to 243 by1993 (Tiffen, 2001). Industry was hindered byrent-seeking, deteriorating services, and fall-ing demand from consumers hit by inflation(Olukoshi, 1996). Runaway inflation and over-

    valued exchange rates hindered good manage-ment. 32 In turn, the downward pressures onwages reduced effective demand for the highervalue agricultural products.

    Productive investment in West Africa hasbeen more lacking in the industrial sector,which needs collective investment, than in thefarm sector which, has responded with familyinvestments. Kenya has a relatively successfulmodern sector, but concentrated in a few

    towns. Government investment in providinginfrastructure to more townselectricity, pipedwater, telecommunications, etc.may be moreeffective than direct state investment in manu-facture.

    Governments cannot do everything, particu-larly if they are to avoid taxing away privateincentive to invest. They cannot rely on aid,because aid availability per head is going down.Hence, as urbanization proceeds, both aidagencies and national policy makers need tothink seriously about appropriate public in-vestments for particular countries at a parti-cular time, and to be conscious that times arechanging.

    NOTES

    1. It could be argued that the poorest of the poor could

    be helped by income redistribution without growth, but

    this is politically a more difficult option.

    2. They have been more successful in Asia than

    elsewhere. Kriekhaus (2002) has argued that public

    savings by states with high bureaucratic capacity

    can successfully allocate resources to strategic in-

    dustrial sectors. In many cases, however, the needto manipulate resources to reward political support-

    ers has predominated over what capacity there

    might be.

    3. Alexandratos (1995) gives a fuller review of devel-

    opment policy in regard to agriculture than is appropri-

    ate here.

    4. There are also higher transaction, insurance and

    information costs in scattered markets (Myint, 1985)

    and disruptions from war and disorder.

    5. World Bank (2000b, p. 68) quotes a discussion

    group in Guatemala: We think the earth is generous;

    but what is the incentive to produce more than the

    family needs if there are no access roads to get produce

    to the market?

    6. Malaysia has made a rapid transition in recent

    decades (Gemmell, Lloyd, & Mathew, 2000). Japan

    is a well-known example of an earlier rapid

    transition. Land-locked countries tend to take

    longer than the seaboard countries since initiallythe most efficient transport for traded goods was

    water-borne.

    7. The local black-smithing industry seems to have

    responded to growing demand for more efficient metal

    tools earlier in West than in East Africa. In Nigeria it is

    beginning to be replaced by factory-made equipment

    and parts supplied by state organizations (Iliya &

    Swindell, 1997).

    8. Transport costs consist of fixed and variable costs.

    The former are relatively small for human and even

    animal transport, but high for lorries. Studies in Malawi

    and Benin found traders used logical combinations of

    transport, using lorries for distances over 12 and 4 km,

    respectively. Motorized transport costs were $0.63 and

    $0.28 per ton/km compared with nonmotorized costs

    averaging $1.20 and $1.78. Trading costs were also high

    in both countries because in the absence of telephones,

    traders had to travel personally to obtain information,

    place orders, etc. (Fafchamps & Gabre-Madhin, 2001).

    High trading costs apply to what farmers need to buy as

    well as what they want to sell. Omamo (1998) has shown

    how walking more than 8 km to purchase maize or sell

    cotton in a market has high opportunity costs, and leads

    to a preference prefer to earn cash by migratory labor.

    Poor roads reduce farm incomes, ability to supply food

    to the towns, and ability to buy goods and services from

    urban areas.

    9. Exceptions will be industries processing bulky or

    perishable raw materials that need to be located near the

    source of supply.

    10. IBRD (1981) Impact evaluation of the Mudascheme, consulted by the author for a report to the

    then Overseas Development Administration on Improv-

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    ing the Socio-economic and institutional content of

    irrigation feasibility studies (Research scheme R4006,

    ESR. 326/307/01, June 30, 1986).

    11. Roads and railways, but also telephones and post

    offices.

    12. Most francophone countries had their first circa

    1977 and another circa 1988. Some have held or planned

    a third, at some point 19962003 (United Nations

    Statistics Division, Population and Housing Census,

    http://unstats.un.org/unsd/demographic/census/cendate,

    accessed 20/09/02).

    13. FAOSTAT gives a more likely 114 million for

    2000. The 1963 census, used as the base for the Banks

    calculations, is widely known to have been manipulatedupward for political reasons.

    14. The total agricultural labor force is often estimated

    by reference to the population in a given age range, such

    as 1564, from which those known to be in occupations

    in the formal sector are deducted. The Bank in its

    Technical Notes to employment tables noted some but

    not all of the difficulties in estimating unreported

    economic activity. It ceased to provide agricultural

    labor statistics after 1990, but FAO continues to

    estimate them in FAOSTAT.

    15. Local food production must have been substantial,

    as their food imports in the same year were only $6 and

    $7 per capita, respectively.

    16. Import data are fairly reliable for countries with

    ports, but not all provide it.

    17. There is no need to produce more food than can

    locally needed, since crops low in value in relation to

    bulk can only be exported when transport links are

    highly efficientnot usually the case in Africa.

    18. The sample surveys were not intended to collect

    data at a level to enable significance testing, but rather to

    check and update the information available from the

    district and the literature.

    19. It is not just surplus food that is sold, as some

    households sell off grain after harvest or at other times to

    meet urgent needs, buying back, often at a disadvantage

    price-wise, later on.

    20. Wotes improved administrative status led to a

    telephone service and some electricity by 2000.

    21. Statistics were only available from 1992, when the

    District was formed. Agricultural officers were not able

    to get out much to estimate production due to budgetary

    constraints.

    22. Fertilizer was still available at official prices fromstate organizations in the 1990s, but tended to be

    monopolized by big farmers or those with the right

    connections, who might then sell on at higher prices.

    Subsidies benefited mainly the big farmers (Iliya &

    Swindell, 1997; Swindell et al., 1999).

    23. Our Senegalese colleagues were particularly keen to

    test this finding, which had depended mainly on extra-

    polation from census data, and some reportsTiffen in

    Barry et al. (2000). Villagers confirmed it.

    24. This takes little account of the income-earning

    activities of wives, but in Hausa areas these generally

    prefer to pursue their own crafts rather than to work

    unpaid on the husbands farm.

    25. As population density rises, and more pasture land

    is converted to crop production, farmers need manure to

    replace fallows, and herders find the advantage of

    combining farming and herding from a settled base, a

    change analyzed by Binswanger, McIntire, and Udry

    (1989).

    26. There are also cases in Makueni where the husband

    works in the farm and the wife is a nurse or teacher.

    27. As reported to the author by a farmer in Gombe,

    Nigeria, in the 1960s.

    28. CARE interviewed men and women in more than

    400 households throughout Maradi District, in 1996.

    29. By 1998, there were slightly more girls in sec-ondary. Parents having difficulty with the fees might

    think sons had a better chance of earning without

    formal qualifications (Nzioka, 2000; Gichuki et al.,

    2000).

    30. Sons are often given a part of the farm to use on

    their marriage (but the parent retains the title deed).

    31. Long-distance migration seems more disruptive to

    family structure, judging by Francis (2000).

    32. Olukoshi (1996) regarded the stabilization of themacro-policy environment as a necessary condition for

    the reversal of de-industrialization.

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    http://unstats.un.org/unsd/demographic/census/cendatehttp://unstats.un.org/unsd/demographic/census/cendatehttp://unstats.un.org/unsd/demographic/census/cendate
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