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Establishing a survey frame for agriculture: The New Zealand experience PowerPoint PPT Presentation


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Establishing a survey frame for agriculture: The New Zealand experience . Andrew Hunter Manager Business, Financial & Structural Statistics Statistics New Zealand . Agriculture Statistics in New Zealand. First recorded data – 1861 Annual survey or census most years to 1996

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Establishing a survey frame for agriculture: The New Zealand experience

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Establishing a survey frame for agriculture the new zealand experience l.jpg

Establishing a survey frame for agriculture:The New Zealand experience

Andrew Hunter

Manager Business, Financial & Structural Statistics

Statistics New Zealand


Agriculture statistics in new zealand l.jpg

Agriculture Statistics in New Zealand

  • First recorded data – 1861

  • Annual survey or census most years to 1996

  • Survey programme ceased in 1996 - consequence of reduced Statistics NZ funding

  • 1997/98 - review of agriculture statistics by Statistics NZ

  • 1999 – Survey of livestock & cropping

  • 2000 – Horticulture Census

  • 2001 new baseline funding – Ministry of Agriculture & Forestry "... to develop an ongoing programme to collect agricultural statistics in partnership with Statistics New Zealand"

  • 2002 – Agriculture Production Census


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Establishing a suitable frame

  • 2001 – Joint review of potential frames conducted by SNZ & MAF

    Four options

    • AgriBase (AgriQuality NZ Ltd)

      • As a land-based register, is conceptually more suitable and has good coverage of livestock farms

    • Business Frame (BF) - Statistics NZ

      • Tax based, good coverage of tax entities, limited maintenance at time

    • Combining the BF and AgriBase

    • BF supplemented by other farm lists (AgriBase, MAF Forest Listing, the 2000 Hort Survey Population, etc)

  • None suitable due to factors such as cost & time required to update, low match rates between lists and coverage concerns


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The immediate solution – option 5

  • Inland Revenue Department’s GST Client Register to form the foundation, supported by BF maintenance

  • Coverage supplemented using:

    • other IRD data to identify farming businesses that were non-GST registered; and

    • other farming lists used to update contact details where possible (e.g. AgriBase, National Exotic Forest Description, the 2000 Horticulture Census Population)

  • Assumptions

    • Tax system is the most up-to-date source of information on business units

    • As all significant units engaged in legitimate agriculture activity are required to be registered with IRD coverage will be high


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Option 5 - Advantages

  • Provides a cost effective means of covering most NZ agricultural activity

  • Based on a proven infrastructure that supports key requirements including well defined standards and classifications

  • Uses existing maintenance processes including:

    • Tax monitoring – births, deaths, activity levels, addresses etc

    • Annual Frame Update Survey – regular updates for significant businesses incl complex multi-unit structures

  • Supports sample design based on economic significance

  • Allows for integration with other SNZ or administrative data to enhance the range of outputs (e.g. financial data, employment data etc)


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Option 5 – Advantages (continued)

  • The BF is well understood by survey practitioners and has been designed as a source for survey frames

  • No legal constraints, updating is not reliant on respondent consent re supply to external parties e.g. AgriBase


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Option 4 - Challenges

  • Duplicates - several tax units associated with one 'farm‘

    • 2 or more tax entities for one production unit e.g. land holding trusts

    • 2 or more productive units on one farm e.g. core farm plus sharemilker

  • BF maintenance strategy is geared to support large businesses

  • The majority of lifestyle farming activities cannot be identified

  • Agricultural activity that is secondary to the main business activity is difficult to identify


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Future frame enhancements

  • A frame 'tidy up' prior to the 2005 agriculture survey, automating update processes where possible

  • Establishing a concordance between the Business Frame and AgriBase

  • 2005/06 propose testing feasibility of linking satellite imagery and production data

  • Establish an ongoing programme of frame coverage evaluation in the form of an 'independent' frame enumeration study


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