Choose from 5 options:
In accordance with AGCRPs, a Charging Risk Assessment has been undertaken that considered the future operating environment, including its:
The overall cost recovery risk rating for 2025-2026 is determined to be low.
These identified key risks, and their mitigation strategies are documented in Table 23 below.
Table 23 – Risks and risk mitigation strategies
| Risk | Mitigation strategy |
|---|---|
| Assumptions made for the new Scheme are not reflective of actual regulatory effort or cost | Regulatory effort and costs will continue to be monitored. Assumptions informing the cost model will continue to be replaced by contemporary data as collected. AICIS continues to gather and improve the quality of internal effort data to inform future pricing. |
| Under- or over-recovery through levies due to change in introduction value of industrial chemicals per introducer. | Introduction value monitoring will continue considering the pricing of each level and the appropriateness of the level structure through the annual CRIS process. |
| Under-recovery of fee for service activities due to the low number of applications made under the IC Act. This is especially relevant given the post introduction regulatory focus of the scheme | Volumes of applications and associate effort will be monitored, and charges will be reviewed through the annual CRIS process. There are currently no further price revisions due to insufficient data being available to substantiate year on year volume variation. |
| Reserve balance significantly increases or depletes beyond targeted levels | The impact of the charging structure on the reserve balance will continue to be monitored with consideration given to forecast future costs and revenue predictions. |
| Registration level upgrades and downgrades in response to bracket creep cause and under or over recovery of revenue through levies | Trend analysis will continue to monitor the number of registration level adjustments and if deemed necessary, will be built into the future iterations of the model. |