Market information use at national andregional level: case of ReSAKSS use of MIS  for Tracking intraregional trade in food...
Presentation outline   Introduction   The process of tracking intraregional trade   Challenges of tracking intraregiona...
Introduction   Existing MIS to explain trade potential among COMESA member    countries    •   The Regional Agricultural ...
ReSAKSS’ Trade Indicator: the process   Identification of data sources: Formal and informal   Evaluating quality of exis...
Challenges   Formal trade - discrepancies between mirror records   Informal trade – incompleteness/ absence of data   o...
Data discrepancies: case of maize trade between             Kenya and Tanzania                                70000       ...
Data discrepancies…: case of maize trade between                Kenya and Uganda                                  50000   ...
Data discrepancy…: maize trade between Kenya and                    Uganda                                   140000       ...
Data discrepancy: maize trade between Canada and                      USA                                    3000000      ...
Border markets with informal trade in staple foods in ESA                                     Only a few border points are...
Status of intra-COMESA trade in food staples
Trends in intra-COMESA trade 2008-10Source: International Trade Centre, Trade Map
Trends in intra-COMESA food staples trade 2008-                    2010Source: COMstat, UBOS, EAGC and FEWSNET Both values...
Growth in Intra-COMESA Food Staple Trade 2008 –                     2010Source: Computed using data from COMStat, UBOS and...
Tracking Agricultural input in COMESA region   This is work in process   Proposed to use same methodology as the trackin...
Conclusion   10 countries were selected based on availability of data   Data gaps especially for informal trade; need fo...
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Juliet wanjiku intraregional trade -aug 27-31 2012

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Market information use at national and regional level: case of ReSAKSS use of MIS for tracking intraregional trade in food staples in COMESA region - Julliet Wanjiku

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Juliet wanjiku intraregional trade -aug 27-31 2012

  1. 1. Market information use at national andregional level: case of ReSAKSS use of MIS for Tracking intraregional trade in food staples in COMESA region By Julliet Wanjiku, ReSAKSS-ECA International Workshop onIncreasing Agricultural Input and Output Trade Through Innovative Market Information Systems in Africa Nairobi, Kenya – August 27-31, 2012
  2. 2. Presentation outline Introduction The process of tracking intraregional trade Challenges of tracking intraregional trade Status of intra-COMESA trade in food staples Conclusion
  3. 3. Introduction Existing MIS to explain trade potential among COMESA member countries • The Regional Agricultural Trade Intelligence Network (RATIN) of the Eastern Africa Grain Council (EAGC) • Alliance for Commodity Trade for Eastern and Southern Africa (ACTESA) by COMESA However, the initiatives do not continuously track the progress in trade Thus ReSAKSS has on going project on trade Indicator Annual trade indicator (From baseline, 2008)
  4. 4. ReSAKSS’ Trade Indicator: the process Identification of data sources: Formal and informal Evaluating quality of existing data Assessing trade indicators development options Stakeholder workshops Final methodological framework developed & shared with stakeholders Methodology adopted: Use of mirror records for formal data, all available informal trade data are used
  5. 5. Challenges Formal trade - discrepancies between mirror records Informal trade – incompleteness/ absence of data only a few agencies collect informal trade data on a regular basis- UBOS and Market Analysis Subgroup (MAS) Lack of harmonised protocol for cross-border trade monitoring –Manual to be published
  6. 6. Data discrepancies: case of maize trade between Kenya and Tanzania 70000 Ken to TanReported maize trade (tonnes) 60000 Tan from Ken 50000 Tan to Ken Ken from Tan 40000 30000 20000 10000 0 2007 2006 2005 2004 2003Data Source: COMTRADE, 2010
  7. 7. Data discrepancies…: case of maize trade between Kenya and Uganda 50000 45000 Ken to Uga Reported maize trade (tonnes) 40000 Uga from Ken 35000 Uga to Ken 30000 Ken from Uga 25000 20000 15000 10000 5000 0 2007 2006 2005 2004 2003Data source: FAOSTAT, 2010
  8. 8. Data discrepancy…: maize trade between Kenya and Uganda 140000 Ken to Uga 120000 Reported maize trade (tonnes) Uga from 100000 Ken Uga to Ken 80000 60000 40000 20000 0 2007 2006 2005 2004 2003Data source:: COMSTAT, 2010
  9. 9. Data discrepancy: maize trade between Canada and USA 3000000 Can to USA Reported maize trade (tonnes) 2500000 USA from Can USA to Can 2000000 Can from USA 1500000 1000000 500000 0 2007 2006Data source: COMSTRADE, 2010
  10. 10. Border markets with informal trade in staple foods in ESA Only a few border points are monitored, hence incompleteness of data
  11. 11. Status of intra-COMESA trade in food staples
  12. 12. Trends in intra-COMESA trade 2008-10Source: International Trade Centre, Trade Map
  13. 13. Trends in intra-COMESA food staples trade 2008- 2010Source: COMstat, UBOS, EAGC and FEWSNET Both values and volumes are tracked
  14. 14. Growth in Intra-COMESA Food Staple Trade 2008 – 2010Source: Computed using data from COMStat, UBOS and MAS group
  15. 15. Tracking Agricultural input in COMESA region This is work in process Proposed to use same methodology as the tracking of food staples Main challenge is availability of regionally traded agricultural input data Which inputs to track? Both value and volumes Consensus to be arrived at in a workshop in Sep, 2012
  16. 16. Conclusion 10 countries were selected based on availability of data Data gaps especially for informal trade; need for improvement in trade data collection infrastructure Trade was reported to go down between 2008 and 2009; between 2009 and 2010, trade increased Decline in trade was caused by change in weather conditions & existence of restrictive trade policies Constraints to trade: poor infrastructure; NTBs There is need to mobilise resources for financing trade facilitation within the region: MIS, data infrastructure
  17. 17. Thank you for listening

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