AIG Survey of Eco-Efficiency Procedures in Manufacturing, Financial Year 2002/2003 -->
B. User Requirements, Survey Objectives, and Budget
B1 Purpose of survey
Why do you need to conduct a survey? (B1)
Note. Refers to the underlying information requirements that the survey is intended to address. For example, what problems the agency is trying to solve? What decisions need to be made? What specific policies or actions are being determined or assessed? Should detail who requires the information. Survey objectives should be included in "B2" below.
It is a goal of industry and the Australian Government to improve the economic efficiency and environmental performance of Australian businesses. To achieve this goal, Department of Environment and Heritage (DEH) and industry associations are working together to encourage businesses to adopt measures that can improve their eco-efficiency, that is, measures that enable them to produce goods and services with less energy and fewer natural resources, resulting in less waste and pollution. A survey is a necessary component of encouraging businesses to improve their eco-efficiency, as it will provide baseline data which future improvements may be measured.
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How will the survey outputs meet the needs specified in B1? What are the target RSEs for the survey? (B2)
Note. Should include a brief overview of the main topics the survey will cover. If applicable, provides details of any constraints including: fixed costs, fixed sample size, fixed accuracy (eg target RSEs, Confidence Intervals), etc.
The survey will encourage Ai Group members to adopt eco-efficiency measures by:
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- encouraging member companies to measure their inputs (energy, water, materials) & outputs (wastes and products), so that they can identify and make resource savings;
- establishing eco-efficiency benchmarks for the Ai Group, so that each business can compare its eco-efficiency with the benchmarks for the Association;
- providing information to government on changes over time to the eco-efficiency performance of the Ai Group, to assist with government policy-making; and
- enabling Ai Group to report publicly on its members environmental activities and impacts.
The main topics covered are:
- whether the business has environmental plans and systems;
- physical quantities of energy and water used, air emissions and waste products;
- physical quantities and financial values of products;
- whether the business has adopted eco-efficiency measures, and the outcomes.
The physical and financial data will be used to develop "eco-efficiency ratios" for the industry. In particular, Ai Group is looking to develop eco-efficiency benchmarking data that can be measured against expenditure. This is consistent with our approach in other and planned benchmarking surveys which use activities as a ratio of expenditure to develop standards. Ai Group believes that by having expenditure as a common variable in our ratios we can compare eco-efficiency activities with other business activities in data already (planned to be) collected by Ai Group. As well, Ai Group may well want to undertake some regression analysis of the results with expenditure being a key variable for analysis.
While we recognise that this may require additional effort by respondents, experience with previous surveys and in the pilot testing suggest that companies unable/unwilling to provide expenditure data will simply skip these survey fields.
The initial sample size is 500 units. The main considerations in setting this figure are respondent burden, cost and the target response rate.
What is the timetable for the survey? (B3)
Note. Should include: testing, the date questionnaires are printed or finalised, the date data collection commences, the date data collection finishes, and when results will be available. SCH approval for the survey is to be obtained before data collection commences.
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27/05/2002 to 31/05/2002 (prior to first survey collection - no significant changes have been made)
Proposed questionnaire is attached
Data collection commences
One week after SCH approval
Data collection finishes
Four weeks after data collection commences
Eight weeks after data collection finishes.