8155.0 - Australian Industry, 2009-10 Quality Declaration
Previous ISSUE Released at 11:30 AM (CANBERRA TIME) 27/05/2011
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1 This publication presents estimates of the economic and financial performance of Australian industry in 2009-10. The estimates are produced annually using a combination of directly collected data from the annual Economic Activity Survey (EAS), conducted by the Australian Bureau of Statistics (ABS), and Business Activity Statement (BAS) data provided by businesses to the Australian Taxation Office (ATO).
2 The period covered by the collection is, in general, the 12 months ended 30 June. Where businesses are unable to supply information on this basis, an accounting period for which data can be provided is used for data other than those relating to employment. Such businesses make a substantial contribution to some of the estimates presented in this publication. As a result, the estimates can reflect trading conditions that prevailed in periods outside the twelve months ended June in the relevant year.
3 Although financial estimates relate to the full twelve months, employment estimates relate to the last pay period ending in June of the given year. As a result, estimates of wages and salaries per person employed may be affected by any fluctuations in employment during the reference period.
4 Financial data incorporate all units in scope of the EAS that were in operation at any time during the year. They also include any temporarily inactive units, i.e. those units which were in the development stage or which were not in operation, but which still existed and held or acquired assets and liabilities and/or incurred some non-operating expenses (e.g. depreciation, administration costs).
5 The businesses that contribute to the statistics in this publication are classified:
6 The scope of the collection consists of all business entities operating in the Australian economy during 2009-10, except for:
7 Note that government-owned or controlled Public Trading Enterprises are included.
8 This section discusses frame, statistical units, coverage issues and improvements to coverage.
9 Businesses contributing to the estimates in this publication are sourced from the ABS Business Register (ABSBR), which has two components as described below.
10 The ABS uses an economic statistics units model on the ABSBR to describe the characteristics of businesses, and the structural relationships between related businesses. Within large and diverse business groups, the units model is used to define reporting units that can provide data to the ABS at suitable levels of detail.
11 In mid 2002, the ABS commenced sourcing its register information from the ABR and at that time changed its business register to a two population model. The two populations comprise what is called the Profiled Population and the Non-Profiled Population. The main distinction between businesses in the two populations relates to the complexity of the business structure and the degree of intervention required to reflect the business structure for statistical purposes.
12 The majority of businesses included on the ABS Business Register are in the Non-Profiled Population. Most of these businesses are understood to have simple structures. For these businesses, the ABS is able to use the ABN as the basis for a statistical unit. One ABN equates to one statistical unit.
13 For a small number of businesses, the ABN unit is not suitable for ABS economic statistics purposes and the ABS maintains its own units structure through direct contact with businesses. These businesses constitute the Profiled Population. This population consists typically of large or complex groups of businesses. The statistical units model below caters for such businesses:
Contribution of statistical units to the estimates
14 The following paragraphs outline the way in which categories of statistical units contribute to the estimates of financial and economic variables presented in this publication.
15 All units in the Profiled Population (i.e. TAUs) were eligible to be selected for direct collection.
16 All units on the ABSBR not classified as TAUs were ABN units from the Non-Profiled Population.
17 An indication of the importance of these populations can be gained from their contribution to the national estimate of sales and service income. The following table shows their proportional contributions to sales and service income by ANZSIC division.
18 The ANZSIC-based industry statistics presented in this publication are compiled differently from activity statistics. Each ABN unit or TAU on the ABSBR has been classified (by the ATO and the ABS respectively) to its single predominant industry class, irrespective of any diversity of activities undertaken.
19 Some businesses engage, to a significant extent, in activities which are normally carried out by different industries. For example, a predominantly mining business may also undertake significant amounts of manufacturing. Similarly, a mining business may produce significant volumes of goods which are normally produced in different mining industries. Where a business makes a significant economic contribution to industries classified to different ANZSIC subdivisions, the ABS includes the business in the Profiled Population, and 'splits' the TAU's reported data between the industries involved. Significance is determined using total income.
20 A TAU's reported data are split if the inclusion of data relating to the secondary activity, in the statistics of the industry of the primary activity, distorts (by overstating or understating) either the primary or secondary industry statistics at the ANZSIC subdivision level by:
21 The ABS attempts to maintain a current understanding of the structure of the large, complex and diverse business groups that form the Profiled Population on the ABSBR, through direct contact with those businesses. Resultant changes in their structures on the ABSBR can affect:
22 The ABS attempts to obtain data for those businesses selected for direct collection and which ceased operation during the year, but it is not possible to obtain data for all such businesses.
Improvements to coverage
23 Data in this publication have been adjusted to allow for lags in processing new businesses to the ABSBR, and the omission of some businesses from the register. The majority of businesses affected, and to which the adjustments apply, are small in size. As an example, the effect of these adjustments is generally 4% or less for most ANZSIC industry divisions and for most states and territories.
24 Adjustments have been made to include new businesses in the estimates in the period in which they commenced operations, rather than when they were processed to the ABSBR. Adjustments of this type will continue to be applied in future periods.
25 For more information on these adjustments, please refer to the ABS publication Information Paper: Improvements to ABS Economic Statistics, 1997 (cat. no. 1357.0).
DEFINITION OF KEY TERMS
26 Selected key terms are described below.
Industry performance measures
27 This publication presents a wide range of data that can be used to analyse business and industry performance.
28 Differences in accounting policy and practices across businesses and industries can lead to some inconsistencies in the data input to the statistics. Although much of the accounting process is subject to standards, there is still a great deal of flexibility left to individual managers and accountants through the accounting policies and practices they adopt. For example, the way profit is measured is affected by management policy about such issues as depreciation rates, bad debt provisions and write off, and goodwill write off. The varying degree to which businesses consolidate their accounts may also affect any industry performance measures calculated.
29 A range of performance measures, usually referred to as ratios, can be produced from the data available from businesses' financial statements. The performance measures presented in this publication comprise:
30 The definition of each ratio in the Industry Performance table can be found in the Glossary.
31 The above limitations are not meant to imply that analysis based on these data should be avoided, only that they should be borne in mind when interpreting the data presented in this publication.
Industry value added
32 Industry value added (IVA) is the measure of the contribution by businesses in each industry to gross domestic product. The Industry Value Added table presents estimates of the components of industry value added for all industries that are within the scope of the collection.
33 There are two types of businesses: 'market' and 'non-market' producers. Market producers sell their output to achieve a profit, whereas non-market producers sell their output at economically insignificant prices. Industry value added is derived differently for market and non-market producers. The industries in which non-market producers make the most significant contribution to industry value added are Health care and social assistance (private) and Other services. See the Glossary definition of IVA for further detail.
Australian Equivalents to International Financial Reporting Standards
34 The new Australian Equivalents to International Financial Reporting Standards (AEIFRS) were progressively implemented in Australia from 1 January 2005. As a result, a number of items in the financial accounts of Australian businesses have been affected by changed definitions, which have in turn affected both income statements and balance sheets. A range of ABS economic collections source data from financial accounts of businesses and use those data to derive economic statistics. There have been no changes in the associated economic definitions.
35 Since the implementation of AEIFRS, analysis of published time series data has indicated structural breaks in series. The magnitude of such breaks, however, cannot be determined without imposing a disproportionate load upon data providers to ABS surveys and other administratively collected data. The ABS will continue to monitor developments and report any significant identified impacts as a result of AEIFRS.
36 In order to minimise the load placed on providers, the strategy for this survey was to use, as much as possible, information sourced from the ATO, thus reducing the size of the direct collect sample needed to maintain the range and quality of information available to users of statistical data. The frame (from which the direct collect sample was selected) was stratified using information held on the ABSBR. Businesses eligible for selection in the direct collect sample were then selected from the frame using stratified random sampling techniques.
37 Businesses were only eligible for selection in the survey (the direct collect sample) if their turnover exceeded a threshold level, or the business was identified as being an employing business (based on ATO information), as at the end of the reference period. Turnover thresholds were set for each ANZSIC class so that the contribution of surveyed businesses accounted for approximately 97.5% of total industry class turnover as determined by Business Acitivity Statement (BAS) data. A sample of 25,682 businesses was selected for the directly collected part of the 2009-10 EAS. Each business was asked to provide data sourced primarily from financial statements, mainly by mail out questionnaires. Businesses were also asked to supply key details of their operations by state and territory, enabling production of the state/territory estimates.
38 Businesses which met neither of these criteria are referred to as 'micro non-employing businesses'. These businesses were not eligible for selection in the sample. For these units, BAS data were obtained and annualised, then added to the directly collected estimates to produce the statistics in this publication. The total estimated value of annual BAS turnover of micro non-employing businesses during the 2009-10 reference year was $46.5b, or 1.6% of total BAS turnover in Total selected industries.
EFFECTS OF ROUNDING
39 Where figures have been rounded, discrepancies may occur between totals and the sums of the component items.
40 Proportions, ratios and other calculated figures shown in this publication have been calculated using unrounded estimates and may be different from, but are more accurate than, calculations based on the rounded estimates.
41 A range of further information is available, as described below.
42 The following ABS publications present economy-wide industry data:
43 In addition, the following publications present industry-specific information:
Other information available
44 More detailed estimates than those included in this publication are available in spreadsheet format free of charge online from the Statistics view on the ABS web site <www.abs.gov.au>. Select Statistics / By Catalogue Number / 8. Secondary Industry and Distribution / 81. Industry Wide Statistics / 8155.0 Australian Industry, 2009-10, then select the Downloads tab.
45 The ABS also issues a daily Release Advice on the web site which details products to be released in the week ahead.
46 Inquiries should be made to the National Information and Referral Service on 1300 135 070 or email <firstname.lastname@example.org>.
47 ABS publications draw extensively on information provided freely by individuals, businesses, governments and other organisations. Their continued cooperation is very much appreciated; without it, the wide range of statistics published by the ABS would not be available. Information received by the ABS is treated in strict confidence as required by the Census and Statistics Act 1905.
Use of Australian Taxation Office (ATO) data in this publication
48 The results of these studies are based, in part, on tax data supplied by the ATO to the ABS under the Income Tax Assessment Act 1936, which requires that such data are only used for statistical purposes. No individual information collected under the Census and Statistics Act 1905 is provided back to the ATO for administrative or regulatory purposes. Any discussion of data limitations or weaknesses is in the context of using the data for statistical purposes, and is not related to the ability of the data to support the ATO's core operational requirements.
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