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HS Code Restructuring Proposal for Efficient Trade Data Management

This proposal aims to reduce the complexity of the current HS coding structure to enhance data quality and streamline trade processes. The project involves identifying and removing obsolete codes, involving stakeholders, allocating resources, and implementing changes. Key considerations include data exchange, stakeholder communications, and criteria for code deletion.

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HS Code Restructuring Proposal for Efficient Trade Data Management

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Presentation Transcript

  1. Imports HS Reduction Proposal

  2. Background • Why reduce the existing coding structure? • More difficult to maintain the present HS System. • Difficult to ensure quality of trade data. • Increase in the number of codes increases the complexity of the system and therefore more difficult to interpret and administer. • Opportunity to streamline the system by investigating obsolete codes due to new technology or other reasons, and correct past oversights etc. Therefore, making it a classification that is more efficient and less cumbersome. • Opportunity to remove low use codes.

  3. HS Code Counts

  4. HS Code Counts

  5. Where Tariff or SS ≠ 00 Tariff Item Level: 7,961 Statistical: 13,943 Total Active Codes: 19,032 Current Counts

  6. Chapter Live Animals Sub-Heading: Pure-bred breeding animals Statistical Suffix: Horses Tariff Item Heading: Live Horses, Asses, Mules & Hinnies HS Import Code Structure 01 01 .10 .00 .10

  7. Effect of Tariff Level Changes 01.01 Live Horses, Asses, Mules & Hinnies Initial: 0101.10 - Pure-bred breeding animals: 0101.10.00. 10 - - - - - Horses 90 - - - - - Other Change: 0101.10 - Pure-bred breeding animals: 0101.10.10. - - - 3 Legged: 10 - - - - - Horses 90 - - - - - Other 0101.10.90. - - - Other: 10 - - - - - Horses 90 - - - - - Other

  8. Project Phases • Identify Possible codes for deletion • Communication with stakeholders • Resource Identification • Implementation

  9. Identify possible codes for deletion • Considerations: • Data Exchange • WCO requests (e.g. ozone, chemical weapons, narcotics) • Previous data user requests • Current data user purchases • Codes created for statistical processing • Possible Criteria: • Low Value • Obselence

  10. Communication • Major stakeholders: • CBSA • Department of Finance • Data users • USBC • Importers • Brokers • Import Associations • Other Government Departments

  11. Resources • Involves: • Subject Matter Officer resources • Metadata staff (Concepts & Liaison) • Marketing staff • Possible systems implications

  12. Implementation • Possible 2012 implementation • Considerations: • On-going Finance/CBSA updates • WCO 2012 changes

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