Elicitation of the Determinants of Rural Households Water Supply in Côte d Ivoire : A Case Study

Transcription

1 Elicitation of the Determinants of Rural Households Water Supply in Côte d Ivoire : A Case Study Presenter: Vassiki Sanogo, Ph.D. Senior Researcher at FSU-CEFA Authors: Vassiki Sanogo and Richard K. Moussa

2 Introduction Accessibility to safe drinking water become challenging Anthropic effects on water supply Climate Change effects on water supply The SDG and water supply Guarantee access to affordable and reliable safe water in rural area.

3 Objectives Conduct an economic evaluation of the water sector in rural areas of Côte d Ivoire to point out: the accessibility of drinking water the households annual expenditure of drinking water. the determinants of water source choice

4 Context Economic evaluation at regional level has been completed in Cote d Ivoire Using the 2008 living conditions survey in Côte d Ivoire A national representative survey that covers 12,600 households in both rural and urban areas

5 Methods A Multinomial Logistic Model for modeling households choice of primary water source and P Y i = j = exp X i β j k=1 exp X i β k P Y i = 3 = 1 P Y i = k ; j = 1 or 2; A Heckman Selection Model for modeling households annual water expenditures 2 k=1 Regression model lwexp i = X i β + ε i, if D i = 1 Selection model D i = Z i δ + μ i D i = 1, if D i > 0

6 Results 56.95% of household surveyed in rural areas Only 11.6% of household in rural areas use safe drinking water and 58.9% of them have the water source at home

7 Results Cont. In 25% of rural areas in Côte d Ivoire, no household has access to safe drinking water In 10% of rural areas, 38.2% of household have access to safe drinking water

8 Results Cont. Accessibility rate regionally (in %) (0.09 ; 1] (0.02; 0.09] (0 ; 0.02] 0 No data

9 Results Cont. Annual water expenditures regionally (in x1000 XOF) (34.62 ; 79.46] (28.38 ; 34.62] (21.9 ; 28.38] [1 ; 21.9] No water bill

10 Results Cont. From Multinomial Logistic Modeling

11 Results Cont. From Heckman Selection Modeling

12 Analysis From Multinomial Logistic Modeling We found that: Poverty reduces by the probability to choose safe drinking water Being headed by women increases by the probability to choose safe drinking water Education reduces by the probability to choose the type 2 of groundwater

13 Analysis Cont. From Heckman Selection Modeling The determinants of water expenditures are : The selected water source: the choice of the type I of groundwater instead of safe drinking water has no significant effect on annual water expenditures, Household size: annual household water expenditures increase significantly with household size, and The distance to water source: the farther the water source is, the higher the annual water expenditures

14 Lessons Learned Improve the extent of the self water supply in rural areas Inclusion of women in water supply management in rural areas Increase the funding for water supply programs in rural areas

15 Conclusion The models have controlled regional disparities. We found that education in household, poverty status, dwelling characteristics, and the time to water source play important roles for choosing a water source. Policy makers should conduct policies to promote the construction of water sources closer to households in rural areas.

16 Many thanks for your attention! With special thanks to: The Skat Foundation The National Assembly of Cote D Ivoire