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7 Together these two sub-populations (of ABN units and TAUs) make up the ABSBR population, from which the BCS sample is taken.
8 The current economic statistics units model was introduced into the ABS in mid 2002, to better use the information available as a result of The New Tax System (TNTS). For more information please refer to Information Paper: Improvements in ABS Economic Statistics - Arising from the New Tax System, (cat. no. 1372.0).
Scope and coverage
9 The businesses that contribute to the statistics in this publication are classified by:
10 The scope of the estimates in this publication consists of all business entities in the Australian economy, except for:
SISCA 6000 Rest of the world
ANZSIC06 Division A Agriculture, forestry and fishing
ANZSIC06 Division O Public administration and safety
ANZSIC06 Division P Education and training
ANZSIC06 Groups 624 (Financial asset investing) and 633 (Superannuation funds)
ANZSIC06 Groups 854 (Religious services) and 955 (Civic, professional and other interest group services)
ANZSIC06 Subdivision 96 Private households employing staff
11 The frame for the BCS is a subset of the ABS Business Register and includes employing businesses only. These are defined as those businesses which register for the ATO's Pay As You Go Withholding (PAYGW) scheme. It is not unusual for some of these 'employing businesses' to have zero employment at various times during the reporting period. The frame is updated quarterly to take account of new businesses, businesses which have ceased employing, changes in employment levels, changes in industry and other general business changes. Businesses which have ceased employing are identified when the ATO cancels their ABN and/or PAYGW registration. In addition, businesses with less than 50 employees, which did not remit under the PAYGW scheme in each of the previous five quarters, are removed from the frame. The estimates in this publication include an allowance for the time it takes a newly registered business to be included in the survey frame.
12 The sample design for this survey is complex due to serving dual purposes: collection of characteristics data for the ABS Business Longitudinal Database (BLD); and production of point in time estimates for a range of non-financial business characteristics. While there are scope differences between the BLD and point in time estimates, the intention is to maximise the number of businesses selected for which data collected can contribute to both purposes. More information about releases for the BLD is provided in Explanatory Note 30. For more information about the survey design or methodology for the BCS, please email your query to firstname.lastname@example.org.
13 Collection of data included in this release was undertaken based on a random sample of approximately 9,500 businesses using a mail out questionnaire. The sample was stratified by industry and an employment based size indicator. All businesses on the ABSBR identified as having 300 or more employees were included in the sample. The 2008-09 BCS was dispatched in late October 2009.
14 The sample design of the 2008-09 BCS does not include state or territory as part of stratification design.
15 The reference period for most of the characteristics items included in the 2008-09 BCS is the year ended 30 June 2009. Financial data relates to the most recent financial year ended on or before 30 September 2009.
Quality assurance strategy
16 The approach to quality assurance for the BCS aims to make the best use of ABS resources to meet user prioritised requirements - both in terms of data quality and timing of release. The approach specifies the level and degree to which each data item is quality assured, noting that only some of the total output from the BCS is able to be quality assured to the highest standards. Different priorities are assigned to groups of data items, with highest priority being assigned to key point in time data on business use of IT and innovation.
17 In general, the data items contained in this release have a lower user priority and, therefore, have been given relatively less attention during the quality assurance phase of processing. Most of the data contained in this release are 'as reported' by businesses with limited editing and cross-validation being applied. One of the most visible impacts of the current approach to quality assurance can be seen in tables where, in theory, the components should add to 100%. For example, items where businesses have been asked to 'tick one box only' yet multiple responses may have been provided. In these cases, contact would need to be made with the respondent to ascertain the correct response, however, resources do not permit contact with all businesses that may have reported in this way.
18 References to any relevant quality issues that the reader should take into consideration are made within the commentary associated with the respective data item. More information is available from the contact person for this release.
Defining "Internet commerce"
19 In the BCS (and previous BUIT surveys), the ABS uses the Organisation for Economic Co-operation and Development (OECD) narrow definition of e-commerce transactions when collecting data on Internet orders and Internet income. The narrow definition is "an Internet transaction is the sale or purchase of goods or services, whether between businesses, households, individuals, governments, and other public or private organisations, conducted over the Internet. The goods or services are ordered over the Internet, but the payment and the ultimate delivery of the good or service may be conducted on or off-line" (i.e., the commitment to purchase is made over the Internet).
20 Internet income is defined as income resulting from goods and/or services ordered over the Internet where the commitment to purchase is via the Internet or web. Excluded from these measures are orders, payments or transactions for which the commitment has been made using other arrangements. The ABS collects these data by asking businesses to estimate what percentage of their income from sales of goods and/or services can be attributed to orders received via the Internet or web. The estimated value of Internet income is derived by applying the percentage to business income from sales of goods and/or services. This method of collecting Internet income has been put in place to address reporting errors previously observed when the actual dollar figure was requested.
21 The 2008-09 BCS draws on the conceptual definitions and guidelines included in the Oslo Manual, Guidelines for Collecting and Interpreting Innovation Data (Third Edition, 2005). This manual provides a framework for the collection of innovation statistics and specifies the definitions of innovating businesses and innovation-active businesses that are used by the ABS. The 2008-09 BCS draws on this manual for the questions used in the BCS and in presentation of outputs from the survey.
22 For more information about ABS Innovation statistics, please refer to Appendix 1: Overview of ABS Innovation Statistics included in the 2008-09 issue of Innovation in Australian Business, (cat. no. 8158.0).
Business counts in this release and comparability with others published by the ABS
23 Estimates of the number of businesses operating in Australia can be derived from a number of sources within the ABS. They may relate to a particular point in time or may be presented as an average annual figure. However, these estimates will not always show the same results. Variations will occur because of differing data sources, differing scope and coverage definitions between surveys, as well as variations due to sampling and non-sampling error. More information about business counts can be found in the information paper A Statistical View of Counts of Businesses in Australia (cat. no. 8162.0).
24 The Business Characteristics Survey is not designed to provide high quality estimates of numbers of businesses for any of the output classifications (for example, employment size or industry) and the counts of businesses in this publication are only included to provide contextual information for the user. Users should also note that the estimates in this publication are only for the population of businesses in scope of the BCS. A more robust source of Counts of Australian businesses is available from Counts of Australian Businesses, including Entries and Exits, Jun 2003 to Jun 2007 (cat. no. 8165.0).
25 For output pertaining to business employment size, businesses are classified to employment size ranges based on data reported for the last pay period in the reference year, i.e. the last pay period ended before 30 June 2009. It is possible for businesses classified on the ABS Business Register at the time of selection as employing, to report nil employees for the last pay period. For output by industry, the classification is drawn from information held about the business on the ABS Business Register.
Availability of state/territory outputs
26 As indicated in Explanatory Note 14, state/territory is not included in the stratification for sample design and, as such, the included sample may not be representative of the business population in each state or territory. Also as changes in the composition or structure of the state/territory business population are not accounted for in design, movements for a particular indicator (for example, innovation) may not reflect a real change. State/territory outputs are, therefore, subject to more than the usual sampling error (as measured by standard error) and the quality is highly variable from collection to collection. Dependent on ABS assessment of quality, data from a particular reference period may not be released as they may not be fit for purpose. For example, they may not reflect change over time for a selected state/territory or adequately enable comparison between states/territories. After assessment of the 2008-09 data, it was decided that no state/territory data would be released.
Most recent related releases
27 The most recent issue of ABS releases related to demography of Australian business is listed below:
28 The most recent issues of other ABS releases on the use and production of information and communication technologies (ICT) in Australia are:
Patterns of Internet Access in Australia, (cat. no. 8146.0.55.001)
Household Use of Information Technology, Australia, (cat. no. 8146.0)
Information and Communication Technology, Australia, (cat.no. 8126.0)
Internet Activity, Australia, (cat. no. 8153.0)
Use of the Internet on Farms, Australia, (cat. no. 8150.0)
Summary of IT use and Innovation in Australian Business, (cat. no. 8166.0)
29 The most recent issues of other ABS releases related to innovation in business in Australia are listed below:
Summary of IT Use and Innovation in Australian Business, (cat. no. 8166.0)
Research Paper: Explorations of Innovation and Business Performance Using Linked Firm-Level Data,(cat. no. 1351.0.55.020)
Patterns of Innovation in Australian Businesses, (cat. no. 8163.0)
Research and Experimental Development, Business, Australia, (cat. no. 8104.0)
Innovation in Australian Business, 2003, Expanded Confidentialised Unit record File, (cat. no.8158.0.55.001)
Businesses Longitudinal Database (BLD) - Confidentialised Unit Record File (CURF)
30 The primary outputs from the BLD will be a suite of Confidentialised Unit Record Files (CURFs). The BLD design is comprised of panels (or waves) with each panel representing the entire population of in-scope small and medium businesses at the time of initialisation. Each panel is surveyed for five years. The CURF and Technical Manual is available via the Remote Access Data Laboratory which can be accessed via the ABS website.
31 Other information relating to Information Technology (both supply and demand), innovation and characteristics of business, particularly updates about additional analytical work can be found on the ABS website www.abs.gov.au; see the Innovation, Science and Technology Home page under Themes/Industry. Readers can also subscribe to the Innovation and Technology Update (cat. no. 8101.0).
32 Estimates of proportions have been calculated using unrounded figures, but are shown in the tables rounded to one tenth of a percentage point. Where figures have been rounded, discrepancies may occur between the sum of the component items and the total. Figures presented in the commentary have been rounded to the whole percentage.
33 A glossary of the terms used in this release can be found under the theme pages for Innovation, Science and Technology.
34 The ABS welcomes comments and suggestions from users regarding business characteristics including IT and innovation statistics. These comments should be addressed to the Director, Innovation and Technology Business Statistics Centre, Australian Bureau of Statistics, GPO Box K881, Perth, WA, 6842, or email email@example.com.
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