Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
World Bank Policy Research Bulletin November--December Volume 5, Number 5 1994 Population policies for Sub-Saharan Africa The population of Sub-Saharan Africa is growing at 3 percent a year. It has already doubled since the 1960s, and at its current rate of growth will double again in 22 years. By comparison, the population of South Asia, the developing region with the next highest rate, is growing at 2.2 percent a year and global population is growing at 1.7 percent a year. At the same time, economic growth in Sub-Saharan countries in recent years has been disappointing. Between 1965 and 1988 per capita gross national product (GNP) for Sub-Saharan Africa grew by only 0.2 percent a year. During the 1980s GNP per capita declined by 2.6 percent a year. Further, human capital in the form of schooling and other training is low, and in many countries school enrollment rates have fallen. Today's high birthrate coupled with slow growth in incomes is producing a rapidly growing labor force with low levels of human capital---not a good prospect for improved living conditions. Further, by the end of the century the number of people in poverty in Sub-Saharan Africa will have increased by 100 million since 1985. Not all of Africa's development problems can be directly attributed to population growth, and reducing the rate of population growth alone will not be sufficient to improve the quality of life, absent other supportive policies. But there is widespread concern that rapid population growth is constraining African development. At the same time, low quality of life, high child mortality, and economic uncertainty predispose couples to want large families. This means that slowing population growth must involve policies to reduce high fertility and child mortality while raising population quality. Recent demographic surveys show that both fertility and child mortality are high in Sub-Saharan Africa. The average total fertility rate is between six and seven children per woman, the highest of any developing region. Child mortality has declined steadily since World War II. As many as 30 to 40 percent of African children died before their fifth birthday in the 1950s, but by the mid1970s this figure had been reduced to about 20 percent. Nevertheless, infant and child mortality remains relatively high. In 20 countries infant mortality rates are over 100 per thousand, and in five countries the rate is greater than 140 per thousand. There are pockets of women who want fewer children and who lack easy access to family planning. But by and large, desired family size is still high---between six and nine children per woman. So, lowering fertility and raising contraceptive use will rely on both improving socioeconomic conditions associated with reduced demand for children and increasing the effectiveness of family planning programs in attracting clients. Designing such policies will require good estimates of the effect of different social policies on fertility and on contraceptive use. This article summarizes the key findings of a World Bank research project on the economic and policy determinants of fertility in Sub-Saharan Africa. Women's schooling and fertility Women's schooling can lower fertility by: Improving economic opportunities for women and thus raising the cost of their time, which is a major input into child-rearing. Raising the demand for child schooling, prompting parents to reconsider the number of children they can afford. Lowering child mortality and thus reducing the number of births necessary to ensure survival of a desired number of children. Improving the effectiveness of contraceptive use. Improving the status, bargaining power, and independence of women. At the same time, schooling may inadvertently raise fertility through improved maternal health (lowering pathological sterility) or through reduced duration of breastfeeding and its contraceptive benefits. The research project examined the relation between women's schooling and fertility in 15 countries, using data from the Demographic and Health Surveys and the Living Standards Measurement Surveys. The mean levels of completed schooling among women of reproductive age in the samples were quite low---from less than two years in Burundi, Cote d'Ivoire, Mali, Niger, and Senegal to six years in Zimbabwe. While the mean levels are low, there are very few women in the data sets with exactly the mean level of schooling. The share of women of reproductive age with no schooling ranges from more than 75 percent in the Sahelian countries and in Burundi to 21 percent or less in Botswana, Zambia, and Zimbabwe. The study found that, overall, increased schooling for women is associated with lower fertility. In eight countries both primary and secondary schooling among women are associated with lower fertility, and in seven women's schooling has no negative effect on fertility until the secondary level (figure 2). Husbands' schooling similarly is a proxy for the value of their time, but we don't expect it to affect the costs of children, since men spend less time in child-rearing. But husbands' education can also be used as a proxy for household wealth or income. To look at the effect of husbands' schooling on wives' fertility, all never-married women were dropped from the sample, eliminating as many as 45 percent of the women in some countries. In four countries only women's schooling significantly lowers fertility and husbands' schooling has no impact. In eight countries both women's and husbands' schooling lower fertility, but the effect of women's schooling is greater. In Burundi neither women's nor husbands' schooling has a negative effect, and in Niger only the husband's schooling matters in the restricted sample of ever-married women. Women's schooling and contraceptive use Women's schooling is positively associated with use of modern contraceptive methods in all the countries studied, and the relation steepens with higher levels of schooling. The relationship between women's schooling and contraceptive use can be expected to change as average levels of schooling, women's status, and availability of family planning services are improved. In Botswana, Senegal, Zambia, and Zimbabwe women's schooling has a statistically significant and positive relation with contraceptive use. But the slope of the predicted relationship and the intercept for women with no schooling is quite different. This can be explained by differences across countries in the levels of women's schooling (fewer than two years in Senegal, five years or more in the others), the availability of family planning (best in Botswana and Zimbabwe), job opportunities for women, and so on. The curves show the relationship for marginal (small) increases in women's schooling. Large increases can affect the slope of the curve as well as shift the curve upward. So, raising women's schooling from three years to six years in Senegal, for example, could be expected to have a much larger effect on contraceptive use than is implied by the slope of the curve in figure 3; it would shift the curve upward, in the direction of the curves for Botswana and Zimbabwe. Family size and child schooling Schooling policies can also lower fertility by encouraging parents to have fewer children in order to increase schooling and other human capital investments for each child. The project found evidence of such a tradeoff between number of children and child schooling in urban Cote d'Ivoire and in both rural and urban areas of Ghana: higher incomes are associated with higher child schooling and lower fertility. In rural areas of Ghana increased female schooling has the same effect. In rural areas of Cote d'Ivoire, however, higher incomes are associated with higher schooling and higher fertility. Quality, price, and availability of family planning The characteristics of health facilities and pharmacies offering family planning affect the cost of averting births. Lower prices, better access, and higher-quality services should raise contraceptive use and lower fertility. The project studied the impact of the quality, price, and availability of family planning in Ghana, Nigeria, Tanzania, and Zimbabwe, where in-depth surveys of service providers could be linked to contraceptive use in household surveys. Reduced distance to or improved availability of specific services is associated with higher current use of contraception in all countries except Tanzania. The availability of specific methods is associated with higher use in Nigeria and Tanzania (pill, injection) and in Ghana (spermicides). The results reveal the potentially important role of pharmacies in expanding contraceptive use in Nigeria and Tanzania. Additional methods do not have an impact in Zimbabwe, where the family planning program relies heavily on the pill. But the limited variation in the methods offered in Zimbabwe could account for the lack of results. Child mortality Infant mortality in the 15 countries ranged from 36 per thousand in Botswana to 161 per thousand in Mali. In six of the countries rates exceed 100 per thousand. High child mortality rates may encourage large families as parents have more children to replace children who die. Couples also may raise their fertility in response to high child mortality in their community. At the same time, high fertility may raise child mortality through the effects of frequent, closely spaced pregnancies on the mother's capacity to bear healthy children and the strain that large families can place on household resources. In 14 Sub-Saharan countries an additional year of women's schooling is associated with a reduction in the mortality rate of children under two of six to nine per thousand. In-depth studies found that women's education has a smaller impact on reducing child mortality in C™te d'Ivoire, where levels of schooling are very low, than in Ghana, where female schooling is more widespread. Proximity to health care also is associated with lower child mortality in C™te d'Ivoire, where the average distance to health care is 12 kilometers. But that is not the case in Ghana, where facilities already are much closer to households (7 kilometers, on average). In both countries, on average, women compensate for child mortality by having one more birth for every five child deaths they experience. Conclusions This research points to a number of socioeconomic and policy determinants of fertility in SubSaharan Africa on which to base effective policies to slow population growth and improve population quality. Foremost among these factors is women's schooling, which is by far the most consistently significant determinant of fertility and contraceptive use. With only a few exceptions, levels of female schooling are very low across the continent. In most cases men's schooling also is relatively low. So, most governments face the task of raising levels of schooling for both men and women, but particularly for women. Schooling policies also will affect the number of children in the short run by prompting couples to improve child quality and have fewer children. Curbing child mortality is another essential policy for lowering fertility. The study also shows that easing constraints in the provision of family planning services would result in higher contraceptive use. Physical access to services is limiting contraceptive use in rural Ghana, Nigeria, and Zimbabwe. In Nigeria and Tanzania improved availability of methods through pharmacies would increase use. Given these results, it comes as no surprise that the three countries with declining fertility--Botswana, Kenya, and Zimbabwe---have the highest levels of female schooling, the lowest levels of child mortality, and the widest availability of family planning services. Nor is it unexpected that fertility remains very high in countries such as those in the Sahel---where child mortality is the highest, female schooling is the lowest, and family planning services are in least supply. More difficult to explain are the countries in between the extremes, such as Cameroon, Ghana, Nigeria, Tanzania, and Zambia. For example, female schooling is relatively high in Ghana and the family planning program is an old one, yet fertility remains high and female schooling has a weak effect. Some explanation might be sought from information on labor markets in the different countries: the rates of return to schooling in the Ghanaian labor market are low at the primary level. The project was not able to quantify the effect of a very important set of policies: those (other than education) that affect the status of women. Specifically, these include laws governing marriage and divorce, inheritance, ownership of property, employment opportunities, and access to credit. See Martha Ainsworth, ''Socioeconomic Determinants of Fertility in Sub-Saharan Africa,'' a summary of the findings of a World Bank research project, Policy Research Department, Washington, DC, 1994