1. Improvement of Austrian Waste Management Data for OECD/EUROSTAT Joint Questionnaire and Waste Statistics Regulation Brigitte Karigl / Federal Environment Agency Austria

2. Improvement of Austrian Waste Management Data
Key Objectives
Development of the most appropriate procedures for collecting statistical information on waste generation and waste treatment in Austria
Filling the gaps in national and international data requests, especially concerning ‚priority data‘ of OECD/EUROSTAT Joint Questionnaire and the Waste Statistics Regulation
Improvement of Austrian Waste Management Data
10/04/03

3. Improvement of Austrian Waste Management Data
Expected Results
Data regarding to
Generation of Waste in the production sector
Recovery/disposal of waste from the production sector
Improvement of Austrian Waste Management Data
10/04/03

4. Methodological Approach
Step 1: Weak-point analysis (= Inventory of existing data & Identification of remaining gaps)
Step 2: Development of methodology for data collection
Step 3: Conception and design of the questionnaire
Step 4: Random sampling
Step 5: Sending out the questionnaires
Step 6: Telephone support
Step 7: Receiving and first validation of data
Step 8: Inquiries in case of missing or incorrect data
Step 9: Data capture into the database
Step 10: Data evaluation and analysis
Improvement of Austrian Waste Management Data
10/04/03

5. Improvement of Austrian Waste Management Data
Operating schedule
Improvement of Austrian Waste Management Data
10/04/03

6. Step 1 – Weak-point analysis
includes
Inventory of existing data
Hazardous waste
Municipal waste
Non hazardous waste from industry and commerce
Waste recovery and disposal
Identification of remaining gaps
OÉCD/EUROSTAT Joint Questionnaire
Waste Statistics Regulation
Identified data gaps
Sectoral breakdown of waste generated
Generation, treatment and disposal of non hazardous industrial waste
Annex II of Waste Statistics Regulation
Improvement of Austrian Waste Management Data
10/04/03

7. Step 2 – Development of methodology for data collection
Data collection with questionnaires to collect primary data at waste generators
Data quality control by means of approved statistical methods
Improvement of Austrian Waste Management Data
10/04/03

8. Step 3 - Conception and design of the questionnaire
Key issues
Contents
Design/Layout
Accompanying measures
Standardized Questionnaire
including
Covering Letter
Questionnaire
Explanatory notes
Improvement of Austrian Waste Management Data
10/04/03

9. Improvement of Austrian Waste Management Data
Step 4 – Random Sampling
Criteria for random sampling were
Aspired result of the data collection: ±10 % (statistical probability of 95 %)
Sectors of economic activity: Production Sector (NACE: 10-14, 15-37, 40, 41, 45)
Statistical unit: kind-of-activity-units
Basic year: 2001
Situation in Austria:
51,182 establishments in the frame (Production Sector)
4008 kind-of-activity-units chosen by random sampling (Statistics Austria)
Improvement of Austrian Waste Management Data
10/04/03

10. Step 5 – Sending out the questionnaires
Situation:
4008 questionnaires were sent out within 3 days
Time limit for sending back: 3 weeks
Necessary return rate: approx. 50 %
Accompanying Measures:
Telephone hotline
Web page „Waste data collection 2001“
address
Information strategy
Improvement of Austrian Waste Management Data
10/04/03

11. Step 6 – Telephone Support / Hotline
Action – Telephone support
Number
Enterprises which were motivated by the call and sent back the completed questionnaire
434
Enterprises which filled out the questionnaire by telephone 10
Enterprises which denied the co-operation 70
Enterprises which were liquidated in the meantime 37
Enterprises where contact persons couldn’t be reached until the end of the telephone support despite repeated calls
Second sending of questionnaires by , fax or mail
370
Total number of calls (including repeating calls)
1.970
Action - Hotline
Calls done by the enterprises
700
Improvement of Austrian Waste Management Data
10/04/03

12. Step 7 – Receiving and first validation of data
Improvement of Austrian Waste Management Data
10/04/03

13. Step 7 – Receiving and first validation of data
Time scale
Week No.: 1 2 3 4 5 6 7
Improvement of Austrian Waste Management Data
10/04/03

14. Step 7 – Receiving and first validation of data
Major problems encountered by the enterprises were
Identification problems: Assignment of waste to waste categories (waste categories in questionnaire different from national waste catalogue)
Difficulties in completing the questionnaire: availability of data, lack of personnel
Conversion (volume into mass)
First validation of data includes
Review of quantities concerning plausibility
Review of level of completeness
Assignment of specified data
Case: Waste management concept  Assignment
Improvement of Austrian Waste Management Data
10/04/03

15. Step 8 – Inquiries in case of missing or incorrect data
Aim was to achieve a high data quality!!!
Implemented measures:
Inquiries by telephone in case of obviously incorrect data
Inquiries by telephone in case of obviously missing data
Correction of wrong summation
Plausibility check (amount of waste per employee)
Improvement of Austrian Waste Management Data
10/04/03

16. Step 9 – Data capture into the database
Improvement of Austrian Waste Management Data
10/04/03

17. Step 10 – Data evaluation and analysis
Interviews carried out by the Federal Environment Agency
4008 units contacted (within the production sector)
Return rate: 45 %  1,786 questionnaires
Data of 1,755 questionnaires used for extrapolation
Results – Summary:
Total waste generated (excl. C&D-waste): 5.6 Mio. tonnes
Total waste generated (incl. C&D-waste): 30.7 Mio. tonnes
Standard error: ±19 %
Reference value according to BAWP 2001: 9.5 / 48.6 Mio. t
Sector ‚Construction‘: 79 % of total waste generated (incl. C&D-waste)
Province ‚Upper Austria‘: 36 % of total waste generated (incl. C&D-waste)
Improvement of Austrian Waste Management Data
10/04/03

18. Waste generated in 2001 – per sector
Improvement of Austrian Waste Management Data
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19. Improvement of Austrian Waste Management Data
Waste generated depending on sectors excl. construction/demolition waste and waste of naturally occurring material
Improvement of Austrian Waste Management Data
10/04/03

20. Improvement of Austrian Waste Management Data
Waste generated per province excl. construction/demolition waste and waste of naturally occurring material
Improvement of Austrian Waste Management Data
10/04/03

21. Improvement of Austrian Waste Management Data
Recovery and disposal of waste (Extrapolation according to information of waste producers)
Improvement of Austrian Waste Management Data
10/04/03

22. Conclusions & Recommendations
Improvement of Austrian Waste Management Data
10/04/03

23. Conclusions & Recommendations Standard error
Situation:
Result with ±19 %
7 Categories of employees: 0, 1-4, 5-9, 10-19, 20-49, 50-99, 100+
Category of employees: 100+  79 % of total waste generated excl.
Scenarios for the random sampling:
Condition: within category 1 – 6 unaltered conditions & results
Category 7: 100 % chosen units of the frame in the sample if
Return rate 100 %, standard errror decreases from ±19 % to ± 6.2 %
Return rate 90 %, standard errror decreases from ±19 % to ± 10.6 %
Return rate 80 %, standard errror decreases from ±19 % to ± 14.4 %
Return rate 70 %, standard errror decreases from ±19 % to ± 17.8 %
Improvement of Austrian Waste Management Data
10/04/03

24. Improvement of Austrian Waste Management Data
Improvement of Austrian Waste Management Data for OECD/EUROSTAT Joint Questionnaire and Waste Statistics Regulation Brigitte Karigl / Federal Environment Agency Austria
Improvement of Austrian Waste Management Data
10/04/03