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IMPACTS STUDY OF THE WREP PROJECT DEA Regional Workshop 16 – 18 October 2007 ARUSHA – TANZANIA. Outline of Presentation. Summary of the WREP The Causal Chains Data Collection & Analysis Results of the Case Study Conclusion. Summary of the WREP .
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IMPACTS STUDY OF THE WREP PROJECT DEA Regional Workshop 16 – 18 October 2007 ARUSHA – TANZANIA
Outline of Presentation • Summary of the WREP • The Causal Chains • Data Collection & Analysis • Results of the Case Study • Conclusion
Summary of the WREP • Case study: Women and Renewable Energy project (WREP) • Goal: to promote the utilization of renewable energy to fight desertification and poverty, and to protect the environment. • Financial Partners: UNDP and the Governments of the Netherlands and Mali. • Implementation Period: between 1992 and 2001 • Geographical scope: 130 villages in the three regions (Koulikoro, Sikasso and Segou). • Results: • 113 solar lighting systems, • 74 solar water heaters • 27 solar driers • 2wind water pumping system • 16 multifunctional platforms of which (03) are running on jatropha oil • Literacy training for more than 3 500 women, • Maintenance training to 60 local technicians.
Activity Installation of SWH Output Access to Solar heating Employment Energy Services Water heating from SWH Sector of utilisation Health centers Reduced firewood consumption Better health services Income generation Outcomes Time saving Less indoor air pollution Reduced fuel expenses Reduced income of wood sellers Impacts Gender Equity Reduced deforestation Improvement of health of women and children Economic development Causal Chain for the Solar Water Heating Systems
Activity Solar PV Systems Output Access to electricity Energy services Lighting Communication Refrigeration Sector of utilisation Adult Literacy Centers Health centres Outcomes Evening learning Improvement of health services Medicines storage Impacts Improvement of Literacy level Improvement of health Causal Chain for the Solar Lighting Systems
Activity Multifunctional Platform (MFP) Output Access to electricity Access to Motive power Employment Energy services Water pumping Milling Lighting Sector of utilisation Households Agriculture Commercial Outcomes Decreased women work load Decreased water borne diseases Increased agricultural production Income generation Impacts Gender equity Health improvement Food security Economic development Causal Chain for the MFP
Activity Solar Dryer Employment Output Access to solar drying Energy services Crop drying Sector of utilisation Households Women association Outcomes Reduced harvest losses Maintain nutritive value Selling of dried crop Employment Food security Income generation Impacts Hunger reduction Health improvement Poverty reduction Causal chain for the Solar Dryer
Wind Water Pumping Activity Increased access to water for irrigation Employment Output Sector of Utilisation Households Agriculture Outcome Reduced water borne diseases Increased agricultural production Impacts Improved health Reduced hunger Poverty Reduction Causal Chain for the Wind Pumping System
Data Collection & Analysis Data Collection through: • Literature review • Field trip in eight villages (Konodimini, Koula, Massala, Somonodougouni, Tombougou, Wolonkotoba, Zambougou) through focus group interviews using questionnaires Data analysis: • Environmental impacts measured by the reduction of wood fuel consumption and the reduction of CO2 emission. • Social impacts were measured by the number of beneficiaries, the improvement of the health centres’ services, the improvement of the literacy rate and the alleviation of the tasks of women. • Economic impacts were measured by the savings on the expenses for the purchase of wood fuel, paraffin oil. Incomes generated by the use of the technologies were also used to measure economic impacts. • Recall were also used to assess the impacts of the technologies
Conclusion The case study revealed that: • Energy project alone has little impact on development but associated to other development project, it will have significant impact • The 4-level diagram is flexible and is very useful for understanding the development impact of energy project • There are no universal indicators for impact assessment. The indicators are case specific and therefore the data to be collected • Baseline issue can be solved using the combination of recall method and past studies