Juliet wanjiku intraregional trade -aug 27-31 2012
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Transcript of Juliet wanjiku intraregional trade -aug 27-31 2012
Market information use at national and regional level: case of ReSAKSS use of MIS
for Tracking intraregional trade in food staples in COMESA region
By
Julliet Wanjiku, ReSAKSS-ECA
International Workshop on
Increasing Agricultural Input and Output Trade Through Innovative Market Information Systems in Africa
Nairobi, Kenya – August 27-31, 2012
Presentation outline
Introduction
The process of tracking intraregional trade
Challenges of tracking intraregional trade
Status of intra-COMESA trade in food staples
Conclusion
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)
Introduction
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
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
Data discrepancies: case of maize trade between Kenya and Tanzania
2007 2006 2005 2004 20030
10000
20000
30000
40000
50000
60000
70000Ken to TanTan from KenTan to KenKen from Tan
Repo
rted
mai
ze tr
ade
(ton
nes)
Data Source: COMTRADE, 2010
Data discrepancies…: case of maize trade between Kenya and Uganda
2007 2006 2005 2004 20030
5000
10000
15000
20000
25000
30000
35000
40000
45000
50000
Ken to UgaUga from KenUga to KenKen from Uga
Repo
rted
mai
ze tr
ade
(ton
nes)
Data source: FAOSTAT, 2010
Data discrepancy…: maize trade between Kenya and Uganda
2007 2006 2005 2004 20030
20000
40000
60000
80000
100000
120000
140000Ken to UgaUga from KenUga to KenKen from Uga
Repo
rted
mai
ze tr
ade
(ton
nes)
Data source:: COMSTAT, 2010
Data discrepancy: maize trade between Canada and USA
2007 20060
500000
1000000
1500000
2000000
2500000
3000000Can to USAUSA from CanUSA to CanCan from USA
Repo
rted
mai
ze tr
ade
(ton
nes)
Data source: COMSTRADE, 2010
Border markets with informal trade in staple foods in ESA
Only a few border points are monitored, hence incompleteness of data
Status of intra-COMESA trade in food staples
Trends in intra-COMESA trade 2008-10
Source: International Trade Centre, Trade Map
Trends in intra-COMESA food staples trade 2008-2010
Source: COMstat, UBOS, EAGC and FEWSNET
Both values and volumes are tracked
Growth in Intra-COMESA Food Staple Trade 2008 – 2010
Source: Computed using data from COMStat, UBOS and MAS group
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
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
Thank you for listening