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Methodology

What method we use to estimate the alcohol tax gap.

Last updated 31 October 2023

We use a 5-step bottom-up channel analysis approach to estimate the alcohol tax gap. We consider the different channels where non-compliance can occur and make an estimate for each of these.

Step 1: Calculate gap associated with large manufacturers

A small group of large-scale manufacturers pay over 90% of the total alcohol duty collected each year. Given their contribution, we work closely with these taxpayers to maximise voluntary compliance. We draw on our understanding of their business arrangements to inform the overall estimate.

Step 2: Estimate gap for small manufacturers

We estimate the gap for small-scale manufacturers, sometimes referred to as micro-breweries and micro-distilleries, using risk analysis and operational intelligence. We apply the identified rates of non-compliance to our gap estimate each year.

Step 3: Estimate gap for large scale illicit activity

We estimate the amount of large-scale illicit alcohol activity from operational data and internal expert judgment. Using operational data, we identify the minimum amount of tax lost through large-scale illicit alcohol activity. We then use internal expert judgment to uplift this amount to account for large-scale illicit alcohol activity that we assess is occurring but not detected, due to these entities operating in the Shadow Economy and therefore outside the system.

Outstanding statutory demands for unpaid duty related to the large-scale illicit activity sector have been incorporated into this year's revisions, increasing gross gaps and decreasing net gaps for the 2016–17 to 2019–20 period.

Step 4: Estimate gap for small scale illicit activity

We estimate the duty evaded from 2 key sources of non-compliance in relation to small scale illicit alcohol activity:

  • illicit home distillation
  • undeclared imports from international passenger arrivals.

For illicit home distilling, we use sales data on stills to estimate how much alcohol is produced. We apply assumptions around the volume produced by these stills over time.

For undeclared imports of alcohol (that are excess to international passenger concessions), we estimate a percentage of arrivals that did not declare their excess alcohol and the amount they carried. This allows us to calculate a volume imported and the customs duty evaded. Notably the fall in passenger numbers due to COVID-19 restrictions resulted in a reduced figure in the 2019–20 and 2020–21 years.

Step 5: Consolidate the estimate

The gross gap is the total of steps 1 to 4. It does not consider any amendments or detections. We estimate the:

  • theoretical liability by adding together tax reported and unreported tax
  • gross gap by subtracting tax voluntarily reported and paid from the theoretical tax
  • net gap by subtracting amendments from the gross gap.

Summary of the estimation process

Table 2 provides a summary of each step of the estimation process and the results for each year.

Table 2: Summary of estimation process

Step

Description

2016–17

2017–18

2018–19

2019–20

2020–21

2021–22

1

Gap estimated for large producers

28

30

24

14

32

37

2

Small producers

32

34

36

37

44

48

3

Large illicit

329

300

322

424

592

628

4

Small illicit

72

77

80

66

23

32

5.1

Gross gap ($m)

555

689

719

660

694

747

5.2

Gross gap (%)

9.5

11.3

11.3

10.0

9.0

9.1

5.3

Legal clearances

5,322

5,534

5,798

6,008

7,004

7,435

5.4

Total theoretical tax

5,828

6,070

6,356

6,604

7,695

8,180

5.5

Seizures and compliance activities

48

153

160

64

2

2

5.6

Net gap ($m)

506

536

558

596

691

745

5.7

Net gap (%)

8.7

8.8

8.8

9.0

9.0

9.1

Find out more about our overall methodology, data sources and analysis used for Principles and approaches to measuring gaps.

Limitations

Due to limitations with data, we rely on these assumptions:

  • Given the nature of illicit alcohol activity, it is difficult to estimate the amount that it contributes to the gap. To overcome this, for
    • large scale-illicit alcohol activity – we rely on operational data and apply an uplift which is informed by expert judgment
    • small-scale illicit alcohol activity – we apply several assumptions based on research and other data
  • Customs duty paid on alcohol is collected by the Department of Home Affairs. While we can use customs data for parts of our estimate, there are still components of the estimate which relate to non-compliance with paying customs duty which we have limited data for. These limitations mean that we rely on assumptions when forming our estimate.

Accounting for the shadow economy

The large and small illicit alcohol activity components of the gap are attributed to the shadow economy. This captures activity where the participants are deliberately avoiding their obligations to pay duty.

Table 3: Impacts of the shadow economy on the alcohol tax gap, 2016–17 to 2021–22

Element

2016–17

2017–18

2018–19

2019–20

2020–21

2021–22

Small illicit activity

72

77

80

66

23

32

Large illicit activity

329

300

322

424

592

628

Amendments for illicit activity

n/a

44

150

152

44

n/a

Total impact of shadow economy

402

420

448

490

615

660

Updates and revisions to previous estimates

Each year we refresh our estimates in line with the annual report. Changes from previously published estimates occur for a variety of reasons, including:

  • improvements in methodology
  • revisions to data
  • additional information becoming available.

Figure 2: Current and previous net tax gap estimates, 2016–17 to 2021–22

Figure 2a depicts a graphical representation of the range of previously published estimates. depicts a graphical representation of the previously published estimates.

The data is presented in Table 4.

Table 4: Current and previous net alcohol gap estimates, 2016–17 to 2021–22

Program year

2016–17

2017–18

2018–19

2019–20

2020–21

2021–22

2023 program
(%)

8.7

8.8

8.8

9.0

9.0

9.1

2022 program
(%)

9.3

9.3

9.3

9.3

9.4

n/a

2021 program
(%)

9.0

9.1

9.1

9.0

n/a

n/a

2020 program
(%)

9.5

9.6

9.6

n/a

n/a

n/a

Note: The changes to our estimates over the 2016–17 period reflect the updated information attributed to the demand notices highlighted in last year's estimates.

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