|
|
|
|
|
|
|
|
|
| DRINKING WATER | | | Publications | | | Managing Rural Water Systems: Keys to Success | | Róger Madrigal | | Resources | 2012 (180) | | | | | | Use of Anthropometric Measures to Analyze How Sources of Water and Sanitation Affect Children’s Health in Nigeria | | Sunday Olabisi Adewara, Martine Visser | | RFF Discussion Paper EfD 11-02 | April 2011 | | Abstract: We used 2008 DHS data sets to construct child height- and weight-for-age Z-scores and used regression analysis to analyze the effects of different sources of drinking water and sanitation on child health outcomes in Nigeria. We also calculated the probability of a child being stunted or underweight as our measure of malnutrition among children aged 0–59 months. Our results show that both child height and weight Z-scores are positive and significantly related to access to borehole and piped water, and negative and significant for well water. The probabilities of a child being stunted or underweight are both significantly lower for children drinking borehole or piped water, whereas well water has a positive and significant effect on these measures of child health.Children’s access to flush toilets is positive and significantly related to child height- and weight-for-age Z-scores, but the same measures are negatively related to children’s use of pit latrines. In line with this, the probability of a child being stunted or underweight is negative and significantly related to access to flush toilets, but positively related to pit latrines. Our results suggest that increasing access to, or providing, safe drinking water and flush toilets for households will significantly reduce the high incidence of malnutrition and water-borne diseases among children in Nigeria and should be a high priority for policymakers. | | | | Environmental Goods Collection and Children’s Schooling: Evidence from Kenya | | Simon Wagura Ndiritu, Wilfred Nyangena | | RFF Discussion Paper EfD 10-18 | August 2010 | | Abstract: This paper presents an empirical study of schooling attendance and collection of environmental resources using cross-sectional data from the Kiambu District of Kenya. Because the decision to collect environmental resources and attend school is jointly determined, we used a bivariate probit method to model the decisions. In addition, we corrected for the possible endogeneity of resource collection workin the school attendance equation by using instrumental variable probit estimation. One of the key findings is that being involved in resource collection reduces the likelihood of a child attending school. The result supports the hypothesis of a negative relationship between children working to collect resources and the likelihood that they will attend school. The results further show that a child’s mother’s involvement in resource collection increases school attendance. In addition, there is no school attendance discrimination against girls, but they are overburdened by resource collection work. The study recommends immediate policy interventions focusing on the provision of public amenities, such as water and fuelwood. | | | | View All Related Publications |
|
|
|
|
|
|
|
|
|
|
|
|
|
|