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The Model

Explore the significant increase in composite indicators (CI) for environmental restoration planning. Discover the pros and cons, including restoration costs and carbon sequestration values, utilizing a comprehensive model. Consider data selection, data quality, uncertainty estimates, weight in composite indicators, generalization for Australia, and disaggregation possibilities. Evaluate economic implications and various cost curves for tailored restoration strategies.

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The Model

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  1. The Model

  2. There are a large number of composite indicators

  3. 6-fold increase in 5 years

  4. Pro & cons of composite indicators (CI)

  5. Restoration costs--carbonsequestrationvalue By taking the current extent of each under-represented vegetation type, it is possible to calculate the area of restoration required to achieve the 30% target. By combining this data for all 19 under-represented vegetation types, the total area targeted for restoration priority can be easily calculated. If you were to cost the restoration of each of those hectares based on previous project expenditure, you could estimate a total restoration cost. It is also possible to estimate the carbon sequestration value of achieving that restoration target. We are only able to do this, because we have designed an environmental condition account which connects asset condition to policy targets and policy targets to investment decisions.

  6. Economic evaluation • Different targets will different cost curves • Selection of one may perhaps be used to establish prefererences

  7. QUESTIONS • Whatdata to select for representation – procedures – overall model? • How to ensuredata-quality • Uncertaintyestimates? • Weight and implicit trade offs in compositeindicators • CanE-condmeasures be generalised to a sum for Australia ifstandardized? • CanE-cond be disaggregated in terms oftemathicindexes?

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