The Economic Assessment of Spatial Data Pricing and Access study has been undertaken in two stages. Stage One developed guiding principles for access to, and pricing of, fundamental data and defined four alternative pricing models. Stage Two comprised a comparative analysis of the economic benefits and costs of the alternative models. Separate reports have been produced for each of these stages, as well as a summary.
The reports aim to assist jurisdictions make informed decisions about the pricing model that suits its own circumstances. They also provide a rigorous assessment of the economic benefits of fundamental spatial datasets that can be provided to jurisdictional Departments of Treasury and Finance.
Pricing models chosen for analysis
Pricing and access policy has the potential to produce different economic outcomes, depending on the type of approach adopted. The analysis undertaken in this study built on previous economic studies of spatial data pricing and access in the following ways.
- The analysis explicitly addressed the dynamic effects of pricing models – addressing factors such as changes over time in funding for the producer agency and implications for data quality (accuracy, currency, and resolution). PwC used a dynamic modelling approach to evaluate the economic implications of changes in funding, changes in data quality and consequent changes in benefits to society from data use (measured as the economic concepts of consumer and producer surplus)
- An assessment was made of the capacity of alternative pricing models to address the public good characteristics of spatial data, the effect of pricing signals on consumption and production decisions (including the efficient level of investment in data quality) and the dynamics of competition and innovation