SAW 01 2 3 E

Workshop on Strengthening Food and Agricultural Statistics in Africa in Support of Food Security and Poverty Reduction Policies and Programmes22-26 November 2001, Pretoria, South Africa: 

Workshop on Strengthening Food and Agricultural Statistics in Africa in Support of Food Security and Poverty Reduction Policies and Programmes 22-26 November 2001, Pretoria, South Africa Renforcement des Statistiques de l’alimentation et l’agriculture en Afrique en appui aux politiques et programmes de securite alimentaire et de reduction de la pauvreté 22-26 november 2001, Pretoria, Afrique du Sud Session 2:Data requirements and Technical Tools in Support of Food Security and Poverty Reduction Programmes Title: Poverty Mapping : A Technical Support of Poverty Reduction Programmes By: Ms. Miriam Bibita South Africa SAW/01/2/3 E

Poverty Mapping : a technical tool in support of poverty reduction programs: 

Poverty Mapping : a technical tool in support of poverty reduction programs Workshop on Strengthening Food and Agricultural Statistics in Africa in Support of Food Security and Poverty Reduction Policies and Programs 22-26 November 2001 Pretoria, South Africa

Contents: 

Contents Part 1 The Stats SA Poverty Mapping Experience Part 2 Possible application to food and agricultural statistics : FIVIMS illustration

Slide4: 

“No society can surely be flourishing and happy, of which by far the greater part of the numbers are poor and miserable” ……..Adam Smith 1776 International/millenium development goals poverty reduction the first of 6 goals South Africa addressing poverty and inequality is a national priority for the post-apartheid government : covered by the commitment to “ a better life for all” Poverty : Its importance

Slide5: 

Poverty : Information Need To achieve poverty reduction goals define, measure and study poverty scientific study requires explicit measurement Poverty profiles are useful for summarizing poverty related information location and spatial attributes of poverty extent, depth and severity of poverty characteristics of poverty Poverty profiles used to inform policy and program development from planning and design to monitoring and evaluation

Slide6: 

Maps are used to represent and communicate information Poverty maps allow visualization of the incidence and magnitude of poverty across space Poverty maps are a part of Poverty profiles used in conjunction with other independent sources of information Poverty mapping : The What

Slide7: 

Capture heterogeneity within regions highly aggregated indicators tend to mask inequalities within regions Identify geographical factors which influence poverty analysis of geographical factors requires spatial techniques Improve targeting of resources and interventions reduce leakage of transfers to non-poor groups and minimize the risk of missing poor groups Improve communication about poverty conditions easily understood by non-specialists Poverty mapping : The Why

Slide8: 

Main assumption : consumption a better indicator of household welfare than income Therefore : possible to obtain poverty statistics using 1995 household data But : surveys limited by sample size to provincial level only - not useful for district level planning However : census data do not suffer from sample limitations - can be used to provide poverty rates for all levels in the administrative hierarchy IF household consumption is obtained Poverty mapping : The How

Slide9: 

Complication : household consumption not collected in census Solution adopted: impute consumption for all census households based on survey data Achieved by: modeling consumption in the survey using approx 20 explanatory variables (common to both census and survey) applying resulting parameter estimates to census data to impute census household consumption Poverty mapping : The How (cont’d)

Poverty Mapping : Results and Utilization: 

Poverty Mapping : Results and Utilization Results : obtained poverty statistics for 3 major administrative divisions (province, district council, magisterial district) municipalities to follow work continues on improving the model to obtain other poverty and inequality measures Eastern Cape Province

Slide12: 

Promotion of statistical advocacy and governance Promotion of evidence-based decision making Tools for monitoring and evaluating progress Opportunities for analytical capacity building at regional, national and provincial levels Greatly improved user-producer relations and partnerships Promotion of data utilization and better knowledge management Enhanced credibility(producer) : relevant and responsive to user needs Poverty Mapping : Impact

Part 2 : Possible applications to food and agricultural statistics: 

Part 2 : Possible applications to food and agricultural statistics FIVIMS illustration

Slide14: 

Increase attention on food security issues Improve quality of food security-related data and analysis Facilitate integration of complementary information Promote better understanding of users’ needs and better use of information Improve access to information through networking and sharing sources : IAWG-FIVIMS & FAO, Rome FIVIMS : objectives

Slide15: 

Existing data sources Poverty mapping census data and survey data census spatial data Food security and vulnerability census and survey data agricultural data health data land, water, climate data household food security and nutritional data vulnerability assessments and mapping systems and others Inputs

Slide16: 

Based on data integration and harmonization Basic techniques and tools statistical and econometric techniques (e.g. data fusion) geo-statistical techniques spatial analysis using GIS others Process

Slide17: 

Ready to use information Poverty mapping who is poor? where are the poor to be found? what are the circumstances of their poverty? for further research : why are they poor? Food security and vulnerability who are the food-insecure and vulnerable groups? where are they located? what is the degree of inadequate food consumption and under-nutrition among them? why are they food-insecure and vulnerable? Outputs

Slide18: 

PARIS21 workshops Developing Information needs of PRSPs Supporting Development policy with Statistics Statistics SA & SA govt papers Combining Census & Survey data to construct a poverty map of SA Integrated Sustainable Rural Development Strategy Urban Renewal Proposal Equitable Shares transfers (DPLG) UNDP/SEPED SERIES on poverty FAO & IAWG-FIVIMS publications World Bank PRSP Poverty, Inequality, Socio-economic performance Development Economics M Todaro Some References