France : Improving checks in customs data OCDE – 7 November 2011.

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Presentation transcript:

France : Improving checks in customs data OCDE – 7 November 2011

Page 2 OCDE – 7 November – Overview of data collection  A shift towards zero paper – Nearly 99% of electronic declarations (in terms of items) – Very few paper declarations and private files  Main consequences – Lower compliance costs for PSIs – Electronic validity controls of data – As a result, a better quality

Page 3 OCDE – 7 November – Some more difficulties  Most common errors – Commodity code – Country of origin/consignement  Coherence between volume and value = IVUs – Many outliers = already 20% of IVUs collected – Automatic treatment not reliable – Only 0,5% of data with high impact on foreign trade ( lines)  A need to improve checks and priorize

Page 4 OCDE – 7 November – The use of IVUs Advantages Disadvantages  Values and quantities detailed at product and partner country level  Harmonize methodology ensures consistency, completness and comparability  Low compilation costs  IVUs can be calculated easily  Differences in the way of calculating by Member State due to  outliers  unsuitable products  Lack of adjustment for quality  More complex treatments Necessary to correct main outliers to get available IVUs

Page 5 OCDE – 7 November – Data processing : a need to improve checks  Better ensure data quality – Check operations with high impact – Check particularly Unit Value Index – Better ensure traceability of errors What type of errors? How many errors? Which society involved? How many recidivists?  Simplify data collection controls – For companies : reduce their burden, avoid to call them for minor errors – For correctors Ease and improve their jobs Possibility to correct without return to the society  Realize productivity gains

Page 6 OCDE – 7 November – Axes of change Define new control methods by using a risk analysis to priorize suspicions – Suspicions based on deviation to the reference values (last 12 months) : References values : average monthly values, quantities and prices references by CN8xFlow references by CN8xFlowXSociety – Reference is society : For regular firms : priority given to the reference of the society. Bugatti quite different from Renault For irregular firms : reference to the CN8  Create a database for statistical purposes – Carry out corrections directly in the database without systematic return to the PSI  Implementation of a tracking system in a view to monitor data collection and ex post controls

Page 7 OCDE – 7 November – Data sets selection : priority groups 1.Systematic controls of main operations – > 5 millions € for Intrastat and >3 millions € for Extrastat – Main operations at CN8 and country level 2.Consistency errors of CN8 or country (misclassification) 3.Important impact on average price of the CN8 (Vref+Voperation)/(Mref+Moperation) compared to (Vref/Mref) Vref = reference value (monthly average for CN8xsociety) Mref= reference net mass or USUP (monthly average for CN8xsociety) Ranking : impact>100%,50%< impact<100%... 4.Ratio net mass/USUP unlikely Each suspicious line has a score

Page 8 OCDE – 7 November – Prototype  Each corrector has to check a list of suspicions  Suspicions classified in decreasing order  For one society, several lines (operations) to check

Page 9 OCDE – 7 November – Prototype Main activity : wholesale tradeProduct :Skirt (luxury business) Operation :main characteristics Manual correction Decision making tools Modes of correction Global impact on CN8 and by society Importance of the society and the operation (value,IVUs) IVUs for the operation Quartiles Average price

Page 10 OCDE – 7 November – Prototype IVUs unlikely, outside of the range Net mass/USUP unlikely

Page 11 OCDE – 7 November – Prototype IVUs corrected inside the range Net mass/USUP comparable to NC8

Page 12 OCDE – 7 November – Next steps  Prototype still in test – Rather favorable welcome by correctors – Bias towards automatic corrections  A real change in the way of correcting – Need to convince and take time – Need of training – A tool,dedicated to a specific population?  Great job to achieve – At the end of 2012? – Need to build monitoring tools

Page 13 OCDE – 7 November 2011 Thanks you for your attention