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Business Operations Survey: 2009 Tables

Technical notes

Survey background

In order for New Zealand’s economic performance to be measured against initiatives aimed at increasing economic growth, a range of data on a variety of measures needs to be collected.

Because of the large range of data needed, Statistics New Zealand has developed an integrated, modular survey – the Business Operations Survey – as a way of collecting the required information while minimising the reporting load for New Zealand businesses. The survey has been designed to include up to three ‘modules’ and has been run annually by Statistics NZ since 2005.

Statistics NZ works with a range of other organisations to develop the mix of content for this survey. Table 1.01 shows how these groups contributed to the development of the survey.

Table 1.01 

 Organisations' contributions to the Business Operations Survey
 Module 2005 2006  2007  2008  2009 
Content
 Module A  Business operations  Business operations  Business operations  Business operations  Business operations
 Module B  Innovation  Information and communication technology  Innovation  Information and communication technology  Innovation
 Module C  Business practices  Employment practices  International engagement  Business strategy & skills  Business practices
 Organisation Contribution to content 
Ministry of Economic Development (MED) Y Y Y Y Y
Ministry of Research, Science & Technology (MoRST) Y N Y Y Y
Department of Labour (DoL) Y Y N Y N
Treasury Y Y Y Y N
New Zealand Trade & Enterprise (NZTE) N N Y N N
Commerce Commission N N Y N N

The main objective of the survey is to collect information on the operations of New Zealand businesses in order to quantify business behaviour, capacity and performance. In addition, each module in the survey has its own specific objectives. The modules included in the Business Operations Survey 2009 and their objectives are listed below.

Module A: Business operations

The objective of this module is to provide a longitudinal series of information relating to business performance. This will assist in the development of models aimed at investigating causal relationships. As well as traditional measures of performance such as turnover and profitability, there is also a need to collect information on such areas as export intensity. The purpose of collecting environmental information is to analyse any relationships between the environment in which a business operates and the results it achieves.

Module B: Innovation

The objective of this module is to provide information on the characteristics of innovation in New Zealand private-sector businesses to enable the development of policy which will facilitate innovation, and to understand the dynamics of innovative businesses. The innovation module runs every two years, and replaced Statistics New Zealand's former Innovation Survey, last run in 2003. The module has been designed in accordance with OECD guidelines to develop an understanding of the contribution of all aspects of innovation to the New Zealand economy by measuring:

  • levels of firm innovation
  • how and why firms collaborate with other firms and institutions in order to innovate
  • factors affecting the ability of firms to innovate
  • outcomes of innovation for firms.

Module C: Business practices

This module collects data on a range of practices (including management practices and behaviours), some of which were collected in the Business Operations Survey 2005. In addition, questions relating to recent financing arrangements were also included to gain an understanding of the current situation. These financing questions will also be collected in the 2010 survey.

Classification change

From 2008, the design of the survey was updated to the latest Australian and New Zealand Standard Industrial Classification (ANZSIC). See the technical notes of the 2008 release for more information regarding this change. Innovation results from 2007 were collected using both the old and new classifications, therefore 2007 results in this release have been recalculated on the updated ANZSIC basis, and will differ from those previously published.

Reference period


The survey was posted out in August 2009 and collected information for the last financial year for which the business had data available at that point.

Target population


The target population for the Business Operations Survey 2009 was live enterprise units on Statistics NZ’s Business Frame that at the population selection date:

  • were economically significant enterprises (those that have an annual GST turnover figure of greater than $30,000)
  • had six or more employees
  • were classified to Australian and New Zealand Standard Industrial Classification – New Zealand Version 2006 (ANZSIC06) codes listed as ‘in scope’ in list 1 below
  • were private enterprises as defined by New Zealand Institutional Sector 1996 Classification (NZISC96) listed in list 2 below.

An enterprise is defined as a business or service entity operating in New Zealand, such as a company, partnership, trust, government department or agency, state-owned enterprise, university or self-employed individual.
The final estimated population size for the 2009 Business Operations survey was 36,347 enterprises.

List 1 – ANZSIC06 codes in scope

In scope
ANZSIC06 code – description
A – Agriculture, forestry and fishing
B – Mining
C – Manufacturing
D – Electricity, gas, water and waste services
E – Construction
F – Wholesale trade
G – Retail trade
H – Accommodation and food services
I – Transport, postal and warehousing
J – Information media and telecommunications
K – Financial and insurance services
L – Rental, hiring and real estate services
M – Professional, scientific and technical services
N – Administrative and support services
P – Education and training
Q – Health care and social assistance
R91 – Sport and recreation activities
R92 – Gambling activities
S94 – Repair and maintenance.

Out of scope
O – Public administration and safety
R89 – Heritage activities
R90 – Creative and performing arts activities
S95 – Personal and other services
S96 – Private household employing staff and undifferentiated goods and service
producing activities of households for own use

List 2 – NZISC96 codes in scope


In scope
NZISC96 code – description
1111 – Private corporate producer enterprises
1121 – Private non-corporate producer enterprises
1211 – Producer boards
1311 – Central government enterprises
2211 – Private registered banks
2221 – Private other broad money (M3) depository organisations
2291 – Private other depository organisations nec
2311 – Private other financial organisations excluding insurance and pension funds
2411 – Private insurance and pension funds.

Out of scope
1321 – Local government enterprises
21 – Central bank
2212, 2213, 2222, 2223, 2292, 2293, 2312, 2313, 2412, 2413 – Central and local government financial intermediaries
3 – General government
4 – Private non-profit organisations serving households
5 – Households
6 – Rest of world

Sample design

The sample design was a two-level stratification according to ANZSIC industry and employment size groups. This information was obtained using enterprise ANZSIC industry and employment information from Statistics NZ's Business Frame.
The first level of stratification was 36 ANZSIC groupings. Within each of the ANZSIC groups there is a further stratification by employment size group. The four employment size groups used in the sample design are:

  • 6–19 employees (small)
  • 20–29 employees (medium 1)
  • 30–49 employees (medium 2)
  • 50 or more employees (large).

The two medium groups have been amalgamated, and the large size group further broken down for this publication, as these businesses were of particular interest for some of the results.
The survey has been designed to produce aggregate statistics at a national level. This design does not facilitate statistics to be produced at a regional level.

Measurement errors


The Business Operations Survey 2009 results are subject to measurement errors, including both non-sample and sample errors. These errors should be considered when analysing the results from the survey.

Non-sample errors


Non-sample errors include mistakes by respondents when completing questionnaires, variation in the respondents’ interpretation of the questions asked, and errors made during the processing of the data. In addition, the survey applied imputation methodologies to cope with non-respondents. Statistics NZ adopts procedures to minimise these types of error, but they may still occur and are not quantifiable.
Given the nature of the data collected, there are limitations on the level of accuracy that can be expected from the survey. Businesses’ records may not be kept in the form required for the survey and some estimation by the respondent may be required.

Sampling error


The estimates in this report are based on a sample of business. Somewhat different figures might have been obtained if a complete census of the entire business population had been taken using the same questionnaire and processing methods etc. Because the estimates are based on a sample of businesses, all estimates have a sampling error associated with them. The variability of a survey estimate, due to the random nature of the sample selection process, is measured by its sampling error.
The majority of the tables in this release are percentages of the total number of New Zealand businesses within each size and industry. The absolute sampling errors for the overall New Zealand business population are presented in the following table. These errors should be used as a guide for judging the reliability of figures contained in the tables. The table should only be used on the overall estimates that are percentage of all New Zealand businesses.

Table 1.02

Sample errors for total population of Business Operations Survey 2009 
 Size of estimate (%) Sampling error 
 1  0.4
 2  0.6
 3  0.7
5 1.0
10 1.3
20 1.8
30 2.0
50 2.2
70 2.0
80 1.8
90 1.3
95 1.0
97 0.7
98 0.6
99 0.4

  The sampling errors provided above are measured at the 95 percent confidence level.

How to use the sampling errors:


For example, the estimated number of businesses with export sales in 2009 is 18 percent. This estimate is subject to a relative sampling error of approximately plus or minus 1.55. This means that 95 percent of the possible samples of the same size will produce an estimate between: 18 - 1.55 and 18 + 1.55, that is, between 16.45 and 19.55.
Sampling errors vary from estimate to estimate, and with population breakdown and population size. Table 1.02 shows approximate sampling errors for all New Zealand level estimates of the whole Business Operations Survey population. Similar tables of approximate sampling errors at a size and industry level can be provided upon request if required. Exact sampling errors can be produced for each variable within the Business Operations Survey upon request if required.

Response rate


The Business Operations Survey 2009 targeted an 80 percent response rate. The survey achieved an actual response rate of 82.4 percent, which represented 5,603 businesses.

Non-response and imputation


Unit non-response

Unit (or complete) non-response occurs when units in the sample do not return the questionnaire. The initial selection weight of the remaining units in the stratum was adjusted to account for the unit non-response (no item non-response imputation would occur for the units that did not return the questionnaire).

Item non-response

Item (or partial) non-response is when units return the questionnaire but some questions are not answered. No item non-response imputation was carried out for units that did not answer 60 percent or more of the questions they were required to answer (based on questionnaire routing rules). The respondents who did not meet this criterion were classified as unit non-responses and the weights were adjusted accordingly.

Imputation of numeric variables

The imputation methods used were weighted mean imputation and donor imputation.
Using the weighted mean method, a weighted mean was calculated from linked responding units for each numeric linecode within each imputation cell. Non-responding units were then imputed with the weighted mean for their imputation cell. Weighted mean imputation was used to impute totals.
Donor imputation randomly selected a donor from within each imputation cell. The non-respondent was then imputed with the value(s) from the donor. Donor imputation was used to impute components and percentages so that the distribution was maintained.

Imputation of categoric questions


For categoric imputation the method used was nearest neighbour imputation, which involved finding a donor with the most similar responses. The donor supplied responses for all categoric variables requiring imputation. If the donor unit did not respond to any of the variables requiring a response, then we chose the next best donor to supply this information. This was continued until all the variables had a response.

Definitions


ANZSIC: Australian and New Zealand Standard Industrial Classification System – New Zealand Version 2006.
Business Frame: A register of all businesses operating in New Zealand.
Employees: The number of employees is defined by an enterprise's rolling mean employment (RME) count. RME is a twelve-month moving average of the monthly employment count (EC) figure. The EC is obtained from taxation data.
Enterprise: A business or service entity operating in New Zealand. It can be a company, partnership, trust, estate, incorporated society, producer board, local or central government organisation, voluntary organisation or self-employed individual.
Goods and services tax (GST): Respondents are asked to exclude GST if possible in the financial figures provided in the questionnaire. If they did not, Statistics NZ takes out GST to make all enterprises comparable.
Last financial year: For the purposes of this survey, this refers to the last financial year for which the business had results available as at August 2009, as entered on the questionnaire.

Innovation definitions

The innovation module of the survey is designed to collect innovation data in accordance with the definitions contained in the OECD Oslo Manual (2005), available from www.oecd.org. The following definitions relate specifically to the innovation module:
Innovation: For the purpose of this survey, innovation is broadly defined. It includes the development or introduction of any new or significantly improved activity for this business. This includes products, processes and methods that this business was the first to develop and those that have been adopted from other organisations.
For the Business Operations Survey 2009, innovation is defined as the development or introduction of new or significantly improved:

  • Goods or services – does not include the selling of new goods or services wholly produced and developed by other businesses.
  • Operational processes – ie methods of producing or distributing goods or services
  • Organisational / managerial processes – ie significant changes in the business's strategies, structures or routines
  • Marketing methods – intended to increase the appeal of goods or services for specific market segments, or to gain entry to new markets.


Co-operative arrangement: Active participation with another organisation or individual in activities for the purpose of innovation. 

  • This includes collaborative arrangements for the purpose of innovation.
  • Each party should bring exclusive knowledge or expertise to the co-operation.
  • Partners do not necessarily gain immediate commercial benefit from the co-operations.
  • This does not include only contracting-out work, where there is no active cooperation or collaboration.

More information


For more information, see the Business Operations Survey: 2009 Hot Off the Press available from www.stats.govt.nz.

Copyright


Information obtained from Statistics NZ may be freely used, reproduced, or quoted unless otherwise specified. In all cases Statistics NZ must be acknowledged as the source.

Liability


While care has been used in processing, analysing and extracting information, Statistics NZ gives no warranty that the information supplied is free from error. Statistics NZ shall not be liable for any loss suffered through the use, directly or indirectly, of any information, product or service.

Timing


Timed statistical releases are delivered using postal and electronic services provided by third parties. Delivery of these releases may be delayed by circumstances outside the control of Statistics NZ. Statistics NZ accepts no responsibility for any such delays.

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