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Case Studies

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Case Study | Airbnb

Forecasts and scenarios to inform the future of Australia’s energy market

Oxford Economics Australia was commissioned to produce macroeconomic and commodity scenario projections that could be used to generate long-term gas and electricity demand and supply projections across a range of energy transition scenarios. The solution We worked closely with the client’s team and their stakeholders to produce long-term (30-year) macroeconomic and commodity price forecasts, across...

Case Study | Airbnb

Developing a leading statistical ecosystem to empower decision makers in government, the private sector​ and ​broader society

The National Bureau of Statistics asked Oxford Economics to redesign its existing statistical publications to make them more user-focused.  This included: The solution Oxford Economics worked closely with the National Bureau of Statistics over a period of six months to develop 57 redesigned publication templates. The work was completed in two broad stages: The final...

Case Study | Airbnb

The economic impact of Buy Now Pay Later in Australia

Governments globally are realising the importance of payments and financial services efficiency to economic growth, financial wellbeing and social participation.  The Australian Finance Industry Association (AFIA) recognises innovation, competition, market efficiency, economic growth and consumer protection are interrelated and, therefore, must be addressed collectively. An informed understanding of the Buy Now Pay Later (BNPL) sector...

Case Study | Austroads

Austroads Workforce Capability Analysis and Strategies

Project background Austroads, an association of the Australian and New Zealand transport agencies, is facing escalating skills gaps in the road infrastructure industry following COVID-19. The increasing demands on Austroads member organisations, coupled with labour market challenges and technological advancements, necessitated a comprehensive workforce capability analysis. In December 2022, Austroads engaged Oxford Economics Australia (OEA)...

Case Study | Australian Energy Market Operator

Oxford Economics Australia and AEMO’s 2022-23 Energy Outlook Collaboration

Project background The Australian Energy Market Operator (AEMO) engaged Oxford Economics Australia (OEA) to develop economic and demographic scenario forecasts for their 2022-23 energy outlook reports. AEMO, responsible for Australia-wide planning and forecasting publications, required these forecasts as inputs into their modelling processes. The scenarios, outlined in AEMO’s Inputs, Assumptions and Scenarios Report, were developed...

Case Study | Australian Energy Market Operator

2022-23 Commodity Price Scenario Forecasts for AEMO

Project background The Australian Energy Market Operator (AEMO) engaged Oxford Economics Australia (OEA) to generate commodity price scenario forecasts to inform their Integrated System Plan, Electricity Statement of Opportunities and Gas Statement of Opportunities reports. AEMO required these economic forecasts to inform their modelling processes. The project involved developing commodity price projections for scenarios outlined...

Case Study | Australian Energy Market Operator

Review and validation of AEMO’s cost of capital assumptions for renewable energy investments

Project background The Australian Energy Market Operator (AEMO) engaged Oxford Economics Australia (OEA) to review their cost of capital assumptions for long-term investments in the National Electricity Market (NEM). The review aimed to assess the impact of asset-specific and market risks on the cost of capital. The cost of capital assumptions are key to developing...

Case Study

Empowering strategic pricing decisions with robust cost forecasting

As countries advance towards sustainability, renewable energy sources such as wind power are gaining prominence. While energy generation facilities like wind farms offer sustainable environmental benefits, their development requires substantial capital investment and long-term planning. To ensure their own financial sustainability, companies in extractive and energy generation industries need accurate cost and profitability estimation.

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