Update notes Uganda

notes/uganda/2208161615_literature-poverty.md

@@ -1,3 +1,16 @@
+### [ ] Canagarajah2001
+
+* looks at distribution of earnings in rural Uganda (& Ghana) by income type and gender
+* results:
+    * non-farm earnings contribute to rising inequality
+        * but lower income groups benefit through strong overall growth in non-farm earnings
+        * inequality is induced through self-employment; wage employment reduces inequality
+    * determinants of non-farm income: location, education, age, distance to market
+    * gender:
+        * self-employment increased inequality among women, wage-work reduced inequality
+        * self-employment was mixed among men, wage-work increased inequality
+            * may show men being employed in wider variety of not just low-income waged jobs
+
 ### [ ] Jagger2012
 
 * looks at income inequality in Uganda and how income from forests and other wild areas relates to it

notes/uganda/2208161616_literature-water.md

@@ -20,7 +20,6 @@
         * cost of user fees prohibite for some to participate
         * technology and ability to repair were expensive and usually far away (spare parts, resulted in delayed repairs)
 
-
 ### [ ] Cooper2016
 
 * looks at vulnerability of rural farmers to climate events
@@ -33,6 +32,23 @@
     * farmers with more land, education, access to gov extension, non-farm livelihood, larger households, older age more capacity to buffer shock (through increased assets and entitlements)
     * inequality arises due to different abilities to be resilient toward climatic shock events
 
+### [ ] Yikii2017 - food insecurity in wetlands area
+
+* looks at prevalence and determining factors of food insecurity in wetland adjacent areas, (Isingiro)
+* results:
+    * ~93% of HHs in wetlands area food insecure
+        * primary reasons: poverty,
+        * low labor productivity (/unemployment)
+        * low levels of education
+    * HHs with fewer adult members more food secure than with more adults
+    * HHs with more educated head more food secure than less education
+    * requires govt promotion of:
+        * food/nutrition education
+        * income generating activities
+        * drought resistant crop varieties
+        * water conservation
+    * or wetland degradation, malnutrition and income inequality may further rise
+
 ### [x] Mulogo2018
 
 * looks at access to water, sanitation, hygiene at health care facilities
@@ -80,13 +96,22 @@
     * Isingiro: men became more actively engaged in firewood collection (62.8%) and fetching water (45.9%)
     * women's exclusion from land ownership brings them further in state of dependence, thus more vulnerable to climate change effects
 
-### [ ] Sempewo2021
+### [ ] Sempewo2021a
 
 * looks at changes in water suuply use (quantity) in Ugandan HHs (due to COVID-19)
     * most HHs had increase in water quantity usage
     * associated HH characteristics age, sex, education, main occupation of HH head, household size, region of residence
     * results can be used for equitable water supply during emergencies
 
+### [ ] Sempewo2021 - willingness to pay for water during emergency
+
+* looks at willingness to pay for access to improved water during COVID-19 (lockdown)
+* results:
+    * majority of households not willing to pay for water
+    * sg explanatory variables: sex of HH head, region of residence, water source, number of times hands are washed, whether household already buys/pays for water
+    * suggests increasing/even maintaining water revenue will be challenge in emergencies without addressing disparity in socio-economic attributes of HHs
+    * INT: may also show possibility of one dimension of health inequality increase due to income inequality/poverty during emergency situations (e.g. extreme climate events)
+
 ### [x] Atamanov2022 - see poverty for main part
 
 * water access