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4610.0.55.008 - Gross Value of Irrigated Agricultural Production, 2011-12 Quality Declaration 
Latest ISSUE Released at 11:30 AM (CANBERRA TIME) 03/10/2013   
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INTRODUCTION


  • Gross Value of Irrigated Agricultural Production (GVIAP) refers to the gross value of agricultural commodities that are produced with the assistance of irrigation. The gross value of commodities produced is the value placed on recorded production at the wholesale prices realised in the marketplace. This definition of GVIAP does not refer to the value that irrigation adds to production, or the 'net effect' that irrigation has on production. GVIAP is not a measure of productivity.
  • GVIAP estimates have been a core component of the ABS Water Account, Australia (cat. no. 4610.0) which was produced every four years up until 2008-09, after which it has become an annual product. Growing demand from policy-makers and other users has led to increasing pressure on the ABS to produce more accurate and frequent estimates of GVIAP and other water-related statistics at a sub-state geographic level.
  • This product (cat. no. 4610.0.55.008) was previously known as 'Experimental Estimates of the Gross Value of Irrigated Agricultural Production', however since 2009-10 this edition has been renamed 'Gross Value of Irrigated Agricultural Production' as the estimates are no longer considered to be 'experimental'. They have become part of the standard suite of ABS publications and are produced through standard ABS estimation systems.
  • The time series estimates for 2000-01 to 2008-09 are available via the 'Past and Future Releases' tab in this publication. These time series estimates were produced using the non-standard ABS estimation systems, however the break in time series is minimal and only affects a few commodity groups (livestock) - see the Explanatory Notes for more details.
  • Estimates of GVIAP and Gross Value of Agricultural Production (GVAP) presented in this publication are given in current prices; that is, estimates are valued at the commodity prices of the period to which the observation relates. For example, estimates for the 2009-10 reference period are given in terms of prices in the 2009-10 period and estimates for the 2011-12 reference period are given in terms of 2011-12 prices. This must be taken into account when considering movements over time.


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