siaya – vihiga survey data collection and analysis

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Siaya – Vihiga Survey Data Collection and Analysis Reminder: Baselines had been collected for 120 households in 2000 (but matching in different surveys was not perfect) so about 110 were useable. Follow up in 2002: consumption, assets, expenditure (non-food) done in April to match 2000 calendar) – 103 households are fully intact with requisite data Follow up in September 2002 for land use and production data Follow up in December 2002 - January 2003 for market and credit transactions

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Siaya – Vihiga Survey Data Collection and Analysis. Reminder: Baselines had been collected for 120 households in 2000 (but matching in different surveys was not perfect) so about 110 were useable. - PowerPoint PPT Presentation

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Page 1: Siaya – Vihiga Survey Data Collection and Analysis

Siaya – Vihiga Survey Data Collection and Analysis

Reminder:

Baselines had been collected for 120 households in 2000 (but matching in different surveys was not perfect) so about 110 were useable.

Follow up in 2002: consumption, assets, expenditure (non-food) done in April to match 2000 calendar) – 103 households are fully intact with requisite data

Follow up in September 2002 for land use and production data

Follow up in December 2002 - January 2003 for market and credit transactions

Page 2: Siaya – Vihiga Survey Data Collection and Analysis

Chronic Poor

Transient: Poor to Non-poor

Transient: Non-poor to poor

Non-Poor

Energy intake 11.7 14.6 30.1 43.7

Protein intake 35.0 15.5 37.9 11.7

Non-food expenditure

43.7 14.6 19.4 22.3

Liquid assets 62.1 5.8 10.7 21.4

Comparison of Chronic Poverty Using Different Measures in Siaya-Vihiga Villages

Page 3: Siaya – Vihiga Survey Data Collection and Analysis

Non-food expenditures

Protein Intake

Chronic Transient Non-poor

Chronic 17.5 12.6 4.9

Transient 23.3 18.4 11.7

Non-poor 2.9 2.9 5.8

Comparison of chronically poor under the protein intake and non-food expenditure definitions (% of households)

Page 4: Siaya – Vihiga Survey Data Collection and Analysis

Asset Coverage

Protein Intake

Chronic Transient Non-poor

Chronic 22.3 4.9 7.8

Transient 34.0 9.7 9.7

Non-poor 5.8 1.9 3.9

Comparison of chronically poor under the protein intake and asset coverage definitions (% of households)

Page 5: Siaya – Vihiga Survey Data Collection and Analysis

Identifying the Chronic Poor

Obviously dependent on measures and criteria

What to do when there are large trends – for instance a general worsening in poverty (and consequence rise in importance of transitory poverty)?

For qualitative sampling – best to use households that qualify under more than one definition?

The 2-year panel seems to differ with qualitative case studies that seem to imply long-term transmission and reinforcement of poverty

Page 6: Siaya – Vihiga Survey Data Collection and Analysis

Characteristics of the Chronic Poor

Two factors were robust: secondary education and previous employment in formal sector

Many other factors depended on measure of poverty: gender, ethnicity, family size

Non-factors were: farm size

Page 7: Siaya – Vihiga Survey Data Collection and Analysis

Agricultural Consequences of Chronic Poverty

Significant differences are noted between the chronic poor and the non-poor; but chronic and tranistory poor appear to be similar in many respects

Behaviour associated uniquely with the chronic poor:

Use of fertilizer (amounts too)

Behaviour associated with chronic and transient poor:

Use of hybrids, use of credit, cultivation of cash

crops, hiring of labour, use of animal manure

Page 8: Siaya – Vihiga Survey Data Collection and Analysis

Never tried Dropped Testing Adopted

Protein measure

Chronic poor 44.4 8.3 8.3 38.9

Transient poor 49.1 16.4 3.6 30.9

Non-poor 25.0 33.3 16.7 25.0

Non-food expenditure measure

Chronic poor 44.4 20.0 2.2 33.3

Transient poor 42.9 17.1 8.6 31.4

Non-poor 47.8 4.3 13.0 34.8

Adoption of improved fallows by poverty classification