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The Use of Results Information for Management and Decision Making

The Use of Results Information for Management and Decision Making. MUTUAL LEARNING INITIATIVE 15-16 JUNE 2006 JINJA - UGANDA VIRGULINO NHATE MOZAMBIQUE. Outline presentation. Rationalization of M&E - Consensus between Government and Donors

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The Use of Results Information for Management and Decision Making

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  1. The Use of Results Information for Management and Decision Making MUTUAL LEARNING INITIATIVE 15-16 JUNE 2006 JINJA - UGANDA VIRGULINO NHATE MOZAMBIQUE

  2. Outline presentation • Rationalization of M&E - Consensus between Government and Donors • Ownership Process - PAF indicators Draw from PARPA Strategic Matrix • The Changes in M&E Mechanisms from PARPA I to PARPA II • Statistical issues

  3. The Rationalization of M&E - Consensus between Government and Donors • PARPA continue being the main Mozambique Planning Instrument - consensus Gov & Donors • It’s implementation brought impressive results • High economic performance & Macroeconomic Stability • Poverty Reduced by 15.4 points percent (1997 -2003) • Despite the floods (2000/01) and drought in 2005 • Development indicators also shown improvement (enrolment rate and access health services); • Some concerns are still related to the quality of services.

  4. The Rationalization of M&E (cont.) • PARPA Elaboration - some concerns about participation of Civil Society and the Provinces • The creation of Poverty Observatory at Central and Provincial level minimize the problems • At the same time the donors support has been harmonized by the agreement with Gov. to include a common set of monitoring indicators. • reduce effort for the Gov. officials to prepare different reports for Gov. and donors monitoring • As result of good coordination between Gov. and the partners, now there are 18 partners allocating resources to Budget support from 5 in 2000.

  5. Ownership Process • The Review of PARPA was leaded by the Gov. included SC and Donors • The doc was approved in Last May by Cabinet • PARPA II include Strategically Matrix - shows objectives, indicators and target for the 2009. • S. Matrix make distinction between: • Medium term based indicators (results)- measured in 2009 (Impact Evaluation Report- RAI) • and annually based indicators - measured annually against the medium term indicators

  6. Ownership Process (cont.) • PES and BdPES (Annually Planning and Review of Planning) • Annually a set of activities are selected from PARPA to be included in PES • At the end of the year sectors have to present in which way the implement the planned activities (BdPES) • This documents are accompanied by the State Budget and are discussed in Parliament • BdPES serves as M&E of Gov. Activities - PARPA indicators are monitored annually using BdBES • These two instruments (PES and BdPES) are in process of revision to become a good instrument of Planning and monitoring - Provinces and districts are not well captured.

  7. Ownership Process (cont.) • PAF Indicators - these originally were used by donors for M&E • The consensus was that PAF indicators have to be selected from the PARPA Strategically Matrix • 50 indicators are selected from SM to be used as PAF • PAF indicators will be the base for planning and Monitoring the implementation of activities at central and provincial levels

  8. Evolution of M&E PARPA I - PARPA II • M& E system is still being developed both at central and provincial level • In 2005 the capacity development was focused in areas of planning, integration of cross cutting issues and the Millennium Development Goals in process • The Review of PARPA represented important moment for M&E: • Need to combine qualitative and quantitative information aligned with decentralisation process • Improve the linkages between instruments (planning, budgeting and monitoring) - work underway on this

  9. Evolution of M&E PARPA I - PARPA II (cont.) • Need for desegregating data by gender • the need for more flow of information at various levels (vertical/horizontal • Some concerns about the quality of statistics data • Improvements include in M&E • The rolling out of ESDEM data base at provincial level and the training of local expertise in using the it • the realization of First Labour force survey - gives statistics about employment, sub-employment and the relation with other factor

  10. Statistics Issues • The war was the big constraints for data collection (sectoral and HH data) • Since 1996 many HH survey have be done with special to the HH expenditures survey done in 1997 and 2003. • The establishment of Core Welfare Indicators Questionnaire (CWIQ) done every 2 years have providing Statistics at HH level • Problems: The lack of panel data and data desegregated at district level is still big concern • The local capacity on data analysis also is still weak

  11. Thank YOU

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