SECONDARY DATA ANALYSIS BOLIVIA VERONA 2001

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Presentation transcript:

SECONDARY DATA ANALYSIS BOLIVIA VERONA 2001 I will present the results of VAM in Bolivia, trying to emphasise in the lessons learnt.

V=R-CC (Cuban Methodology) Inexistent   SDA 2000 SDA 2001 Model V=R-CC (Cuban Methodology) Inexistent Methodology Quantitative and Qualitative Quantitative PCA-Clustering

Variables Used SDA 2000

Drought

Frost

Flooding

Agricultural Potential

Forest Potential

Income

Physical Access

Number of persons per room

Illiteracy

Development index, relative to gender

Proportion of the population that seeks medical attention at health centers

Gap of unsatisfied basic needs between indigenous and Spanish speaking families

RISK OF UNEMPLOYMENT AND INFORMAL ACTIVITIES FOR CITIES

Variables Used SDA 2001

Outcome Indicators Poverty Index (% of the population) Income US$ PPA Human Development Index Unsatisfied Basic Needs (% of population) Development index, relative to gender (gap between men and women)  

Independent Indicators Proportion of the population with access to drinkable water Number of doctors by population Proportion of the population that seeks medical attention at traditional doctors at health centers Accumulation of persons in Population with shortage inadequate or improvised Shortage of Services Shortage of Sanitation Services Shortage of Energy Shortage of Education Shortage of Access to Health Facilities School attendance (measured in years)

Number of Primary Schools Number of pupils at primary schools Expenditures of municipalities in maternal care Gap of unsatisfied basic needs between Indigenous and Spanish speaking families Total consultations per capita Number of health posts Number of basic support hospitals Number of support hospitals Number of service schools (pre-primary) Number of pre-primary registered pupils Number of service schools (secondary) Number of secondary registered pupils

Number of service schools (superior) Number of superior registered pupils Number of service schools (alternative) Number of alternative registered pupils Total Investment in Agriculture 1994 Total Investment in Health 1994 Total Investment in Education 1994 Total Investment in basic reparation 1994 Total Investment in Agriculture 1995 Total Investment in Health 1995 Total Investment in Education 1995 Total Investment in basic reparation 1995 Total Investment in Agriculture 1996 Total Investment in Health 1996

Total Investment in Education 1996 Total Investment in basic reparation 1996 Total Investment in Agriculture 1997 Total Investment in Health 1997 Total Investment in Education 1997 Total Investment in basic reparation 1997 Total number of policlinics Access to fluvial drainage 1994 Access to disposition of solid waste 1994 Number of industrial establishments Number of financial establishments Expenditures of municipios in gender related activities Estimated number of organizations

Descriptive Indicators Average altitude Average yearly rainfall Degree of urbanization Population density Urban NBI (population with unsatisfied basic needs) Rural NBI Population with satisfied basic needs (%) Population living at the threshold of poverty (%) Population living in moderated poverty (%) Indigent population (%) Marginal population (%)

Technically “questionable” Quality of the Information   SDA 2000 SDA 2001 Advantages Easy to: Understand Establish the difference between a poverty map and traditional studies on food security Technically accepted. Problems Technically “questionable” Quality of the Information Hard to understand for the government autorities Not easy to establish the differences between poverty map and others Information/ Qual/MVal

Appropriation of results.   SDA 2000 SDA 2001 Process Broad and continuing participation of partners. Results broadly disseminated Without participation Advantages Results: Technically Validated Accepted and used (EBRP) We can easily continue changing the results Impact WFP positioned as expert in Food Security. WFP positioned as expert in Food Security Problems Institutionalisation Appropriation of results.

RESULTS VAM 2000 AND SAF 2001

Results Why? General: Same Detail: Some differences High correlations in the variables used in the SDA 2001. Weighting by population in the SDA 2001

Combination of the both SDA