Impact Of Agricultural Market Reforms On Smallholder Farmers In ...
Impact Of Agricultural Market Reforms On Smallholder Farmers In ... Impact Of Agricultural Market Reforms On Smallholder Farmers In ...
heads. This suggests that some of the female-headed households are widows. On the other hand, the dependency ratios are almost the same for male- and female-headed households (see Table 4.1.3). How does the household composition vary between rich and poor households 3 ? First, poor households tend to have more members than richer households. Households have around 10 members in the poorest two categories, compared to 7-8 members in the richest two categories. Second, , the dependency ratio is higher for poor households (55 percent in the first category) than for richer households (44 percent in the fifth category). The difference in dependency ratios is largely due to the fact that poor households have more children (see Table 4.1.4). The proportion of female-headed households does not appear to vary with expenditure category. This finding is somewhat surprising given the common belief that female-headed households are poorer and disadvantaged. The relatively small sample of female-headed households, however, makes this finding somewhat tentative. The results also show that polygamy is found in equal numbers across all income groups in rural areas, contradicting the view that only richer men can support a polygamous household (see Table 4.1.4). Education Education and literacy levels are relatively low among farm households of Bénin. The average adult (15 years and older) has 1.4 years of education and less than one in five is literate, defined as being able to read and/or write. These figures show significant regional variation. The departments of Ouémé and Mono have the highest literacy rates (33 and 25 percent, respectively) and the average number of years of schooling is two or more. In contrast, the adult literacy rate is around 10 percent in Borgou and Atacora (see Table 4.1.5). 3 We use the value of per capita consumption expenditure to measure the standard of living of households. Consumption expenditure is defined as the sum of four components: cash expenditures on food, cash expenditure on non-food goods and services, the estimated value of food produced by the household for its own consumption, and the rental equivalent of owner-occupied housing. We define five expenditure categories based on the quintiles of per capita consumption expenditure. Thus, the first category contains the poorest 20 percent of the farm households, the second contains the next-poorest 20 percent, and so on. Expenditure is considered a better measure of the standard of living than income because it is less variable over time and because it measures more directly the material well-being of the household. 37
If we focus our attention on the heads of household, the situation is only slightly more favorable. Twenty-seven percent are literate and the average amount of schooling is 2.1 years. Once again, those in Ouémé and Mono have the highest levels of literacy and schooling. For example, 48 percent of the heads of household in Ouémé are literate, as are 38 percent of those in Mono (see Table 4.1.6). Male-headed households are both more educated and more likely to be literate than female-headed households. For example, the literacy rate is 28 percent among male heads but just 6 percent among female heads. The schooling and literacy of the head of household are strongly correlated with per capita expenditure. For example, literacy is just 20 percent among the heads of households in the poorest expenditure category, but it rises to almost twice that figure (38 percent) among heads of households in the richest category (see Table 4.1.7). This is partly because literacy and education increase income-earning potential, but it is also due to the fact that both variables (education and income) are positively influenced by the income and education of one’s parents. Are education and literacy levels improving over time? The survey results suggest that the new generations are significantly more likely to be educated than the older ones. For example, 43 percent of children between 6 and 10 years old are attending school and 46 percent of those between 11 and 15 are. This implies that rural children are often more educated than their parents and that the average levels of literacy and education will rise as these children become adults. Furthermore, the rates of attendance do not seem to vary between male- and female-headed households (see Table 4.1.8). On the other hand, educational disparities persist among school-aged children: School attendance is significantly higher in the south (Ouémé, Atlantique, and Mono) than in the north (Atacora and Borgou) (see Table 4.1.9) School attendance is markedly higher among higher-income households than among the poor (see Table 4.1.10). 38
- Page 1 and 2: IMPACT OF AGRICULTURAL MARKET REFOR
- Page 4 and 5: TABLE OF CONTENTS CHAPTER 1 - INTRO
- Page 6 and 7: 5.1.10 Expenditure patterns .......
- Page 8 and 9: CHAPTER 1 - INTRODUCTION 1.1 Backgr
- Page 10 and 11: villageois, (GV)) was needed as the
- Page 12 and 13: CHAPTER 2: POLICY BACKGROUND FOR BE
- Page 14 and 15: 2.3 Evolution of Economic Policy 2.
- Page 16 and 17: Under pressure from the World Bank
- Page 18 and 19: anking system has been restored to
- Page 20 and 21: Fertilizer can be imported outside
- Page 22 and 23: particularly urban wage-earners. On
- Page 24 and 25: Soulé (1996) describes the evoluti
- Page 26 and 27: led to a more sustainable agricultu
- Page 28: Table 2.4 - Gross farm revenue from
- Page 31 and 32: Malawi’s economy is heavily depen
- Page 33 and 34: the reduction of its operations in
- Page 35 and 36: crops is also difficult because tob
- Page 37 and 38: Table 3.1 CROP 1982/83 1983/84 1984
- Page 40 and 41: CHAPTER 4: RESULTS OF THE BÉNIN SM
- Page 42 and 43: where W v is the weight for a house
- Page 46 and 47: And school attendance is much highe
- Page 48 and 49: Crop production is the main activit
- Page 50 and 51: (33 percent). Livestock income is m
- Page 52 and 53: Somewhat surprisingly, the relation
- Page 54 and 55: It is no more common among richer h
- Page 56 and 57: production, and women actually spen
- Page 58 and 59: Seed use by crop Although only 18 p
- Page 60 and 61: Looking at the results by departmen
- Page 62 and 63: Ouémé presents an unusual case: j
- Page 64 and 65: Market prices have significant effe
- Page 66 and 67: policies of SONAPRA to discourage
- Page 68 and 69: crops are responsible for this incr
- Page 70 and 71: Respondents were asked whether the
- Page 72 and 73: Female-headed households, not surpr
- Page 74 and 75: households are not considered credi
- Page 76 and 77: In almost every category of agricul
- Page 78 and 79: This discussion implies that farms
- Page 80 and 81: eturns per hectare and labor-intens
- Page 82 and 83: farm household and tends to be smal
- Page 84 and 85: Surprisingly, the value of sales as
- Page 86 and 87: Finally, proximity to an all-season
- Page 88 and 89: Changes in crop marketing In this s
- Page 90 and 91: Poor households are more likely to
- Page 92 and 93: it is clear that virtually all grow
heads. This suggests that some of the female-headed households are widows. <strong>On</strong> the other hand,<br />
the dependency ratios are almost the same for male- and female-headed households (see Table<br />
4.1.3).<br />
How does the household composition vary between rich and poor households 3 ? First, poor<br />
households tend to have more members than richer households. Households have around 10<br />
members in the poorest two categories, compared to 7-8 members in the richest two categories.<br />
Second, , the dependency ratio is higher for poor households (55 percent in the first category) than<br />
for richer households (44 percent in the fifth category). The difference in dependency ratios is<br />
largely due to the fact that poor households have more children (see Table 4.1.4).<br />
The proportion of female-headed households does not appear to vary with expenditure category.<br />
This finding is somewhat surprising given the common belief that female-headed households are<br />
poorer and disadvantaged. The relatively small sample of female-headed households, however,<br />
makes this finding somewhat tentative. The results also show that polygamy is found in equal<br />
numbers across all income groups in rural areas, contradicting the view that only richer men can<br />
support a polygamous household (see Table 4.1.4).<br />
Education<br />
Education and literacy levels are relatively low among farm households of Bénin. The<br />
average adult (15 years and older) has 1.4 years of education and less than one in five is literate,<br />
defined as being able to read and/or write. These figures show significant regional variation. The<br />
departments of Ouémé and Mono have the highest literacy rates (33 and 25 percent, respectively)<br />
and the average number of years of schooling is two or more. <strong>In</strong> contrast, the adult literacy rate is<br />
around 10 percent in Borgou and Atacora (see Table 4.1.5).<br />
3<br />
We use the value of per capita consumption expenditure to measure the standard of living<br />
of households. Consumption expenditure is defined as the sum of four components: cash<br />
expenditures on food, cash expenditure on non-food goods and services, the estimated value of food<br />
produced by the household for its own consumption, and the rental equivalent of owner-occupied<br />
housing. We define five expenditure categories based on the quintiles of per capita consumption<br />
expenditure. Thus, the first category contains the poorest 20 percent of the farm households, the<br />
second contains the next-poorest 20 percent, and so on. Expenditure is considered a better measure<br />
of the standard of living than income because it is less variable over time and because it measures<br />
more directly the material well-being of the household.<br />
37