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2.1 Hypotheses about income strategies in different development domains in the East African highlands 47 2.2 Summary of hypotheses 55 3.1 Description and importance of development domains in the Kenya highlands 67 3.2 Percentage area under different land uses 69 3.3 Tobit regression of maize area and percentage of cultivated area under maize 71 3.4 Tobit regressions of cash crop area and percentage of cultivated area under cash crops 72 3.5 OLS regressions of density of cattle and dairy cattle 72 3.6 Tobit regressions of area under woodlots 73 3.7 Tobit regressions of ratio of high-quality roofs to total roofs 76 3.8 Tobit regressions of percentage tree cover 774.1 Factor analysis results for soil quality in agricultural potential 88 4.2 Factor analysis results for rainfall and altitude in agricultural potential 88 4.3 Factor analysis results for market access (distance) 89 4.4 Factor analysis results for market access (institutions) 89 4.5 Village stratification 93 4.6 Relation between crop choice and development domain dimensions using three-stage least-squares 95 4.7 Relationship between livestock ownership and development domain dimensions 97 4.8 Land use technologies 98 4.9 Relationship between technology choice and development domain dimensions 100 4.10 Relationship between credit use and development domain dimensions, by credit source 100 4.11 Relationship between human development indicators and development domain dimensions 101 5.1 Descriptive statistics of households in Tigray highlands survey, 1998 115 5.2 Descriptive statistics of plots in Tigray highlands survey, 1998 117 5.3 Determinants of input use and land management practices in crop production, 1998 118 5.4 Determinants of value of crop production per hectare, 1998 124 5.5 Determinants of per capita income, 1998 128 5.6 Simulated impacts of changes in selected variables on value of crop production and per capita income 130 5.7 Summary of qualitative empirical results 132 6.1 Proportion of households owning livestock, by agricultural potential 145 6.2 Perceived changes since 1991 in use of feed resources and availability and quality of grazing lands, by agricultural potential 146 6.3 Proportion of households buying feed and using animal health services, by agricultural potential 147 6.4 Proportion of communities (with some of their residents) adopting improved breeds and modern livestock management practices since 1991, by agricultural potential 147 6.5 Means and standard errors of explanatory variables 152 6.6 Determinants of changes in proportion of households owning livestock, 1991 to 1999 153 6.7 Determinants of perceived changes since 1991 in use of feed resources and availability and quality of grazing lands 156 viii TABLES 6.8 Determinants of changes (1991 to 1999) in proportion of households using animal health services and adoption of improved breeds and stall feeding by communities since 1991 159 7.1 Descriptive statistics of variables used in econometric analysis 173 7.2 Determinants of output value and predicted erosion 177 7.3 Simul...
2.1 Hypotheses about income strategies in different development domains in the East African highlands 47 2.2 Summary of hypotheses 55 3.1 Description and importance of development domains in the Kenya highlands 67 3.2 Percentage area under different land uses 69 3.3 Tobit regression of maize area and percentage of cultivated area under maize 71 3.4 Tobit regressions of cash crop area and percentage of cultivated area under cash crops 72 3.5 OLS regressions of density of cattle and dairy cattle 72 3.6 Tobit regressions of area under woodlots 73 3.7 Tobit regressions of ratio of high-quality roofs to total roofs 76 3.8 Tobit regressions of percentage tree cover 774.1 Factor analysis results for soil quality in agricultural potential 88 4.2 Factor analysis results for rainfall and altitude in agricultural potential 88 4.3 Factor analysis results for market access (distance) 89 4.4 Factor analysis results for market access (institutions) 89 4.5 Village stratification 93 4.6 Relation between crop choice and development domain dimensions using three-stage least-squares 95 4.7 Relationship between livestock ownership and development domain dimensions 97 4.8 Land use technologies 98 4.9 Relationship between technology choice and development domain dimensions 100 4.10 Relationship between credit use and development domain dimensions, by credit source 100 4.11 Relationship between human development indicators and development domain dimensions 101 5.1 Descriptive statistics of households in Tigray highlands survey, 1998 115 5.2 Descriptive statistics of plots in Tigray highlands survey, 1998 117 5.3 Determinants of input use and land management practices in crop production, 1998 118 5.4 Determinants of value of crop production per hectare, 1998 124 5.5 Determinants of per capita income, 1998 128 5.6 Simulated impacts of changes in selected variables on value of crop production and per capita income 130 5.7 Summary of qualitative empirical results 132 6.1 Proportion of households owning livestock, by agricultural potential 145 6.2 Perceived changes since 1991 in use of feed resources and availability and quality of grazing lands, by agricultural potential 146 6.3 Proportion of households buying feed and using animal health services, by agricultural potential 147 6.4 Proportion of communities (with some of their residents) adopting improved breeds and modern livestock management practices since 1991, by agricultural potential 147 6.5 Means and standard errors of explanatory variables 152 6.6 Determinants of changes in proportion of households owning livestock, 1991 to 1999 153 6.7 Determinants of perceived changes since 1991 in use of feed resources and availability and quality of grazing lands 156 viii TABLES 6.8 Determinants of changes (1991 to 1999) in proportion of households using animal health services and adoption of improved breeds and stall feeding by communities since 1991 159 7.1 Descriptive statistics of variables used in econometric analysis 173 7.2 Determinants of output value and predicted erosion 177 7.3 Simul...
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