Providing timely research output and knowledge transfer to industry and government stakeholders

CAEEPR’s members are energy companies, government agencies and policy makers who actively guide the research agenda and input into the assumptions used in modelling policy positions. Access to world-class journal articles and their authors promotes implementation of CAEEPR’s applied research to its network of industry and government, and deeper understanding of the implications of policy changes and decarbonisation pathways.

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On spot revenues, capital structure and trade off theory: Analysing investment risk for contracted renewables

Nicholas Gohdes

In decarbonising power systems, shifting dynamics require that investors lend careful consideration when structuring plant revenues – or risk violating the constraints of private capital markets. In Australia’s National Electricity Market, new variable renewable energy (VRE) plant was traditionally ~100% revenue contracted via power purchase agreement (PPA) to facilitate bankability and provide stable returns.

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Electricity prices and preferences for climate and energy policy

Petyo Bonev, Magnus Söderberg, and Mattias Vesterberg

We analyse the impact of high electricity prices on individual preferences and attitudes toward climate and energy policy in Sweden. Our identification strategy leverages key features of the data and study design. First, consumers are distributed across four electricity price areas, each characterized by varying and often divergent electricity prices. Second, surveys were conducted in four distinct waves.

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A penalization approach for estimating inefficiency in stochastic frontier panel models

Firmin Doko Tchatoka, Magnus Söderberg, Mohammad Abbas Hakeem

Efficiency analysis is crucial for evaluating the performance of entities that provide essential and other homogenized services. The Jondow et al.’s (1982) estimator is widely used but has been criticized for biasing inefficiency toward its mean, distorting the distribution, and misrepresenting the conditional distribution of inefficiency, particularly in cross-sectional settings.

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