establishing a survey frame for agriculture the new zealand experience
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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

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
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
establishing a suitable frame
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
the immediate solution option 5
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
option 5 advantages
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)
option 5 advantages continued
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
option 4 challenges
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
future frame enhancements
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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