Energy, Climate Change & Environment

From the earliest announcement of the European Green Deal, the current EU political cycle has been defined by an unprecedented acceleration in the scale and pace of climate policy. Under difficult conditions that sometimes tested the ability to engage stakeholders, including various external shocks, the EU has put forward and largely passed an unprecedented legislative agenda, which was meant to have, and is having, deep impacts on the EU economy and society at large. Much has changed in the world since the European Green Deal and the “Fit for 55” packages were conceived, including a dramatic increase in industrial policy actions by Europe’s trade partners, a deteriorating geopolitical landscape, and an energy crisis that has been aggravated by these factors, all of which has led to persistent fiscal and economic pressures. 

The devastating effects of climate change are becoming increasingly evident. It is difficult to accurately predict or even quantify the risks. Despite this threat, the pace of change is slow. Why is the world failing to tackle this problem collectively and effectively? What constraints are holding us back? How can we overcome them and contribute to the formulation of a credible and acceptable climate policy? What policy instruments can help pave the way to the green transition?

In electricity markets, market power is typically measured by the difference between observed offers and underlying marginal (variable) cost of power production. Therefore, marginal cost estimates should be as accurate as possible to ensure unbiased measurement of market power and welfare-improving mitigation thereof. However, cost components and power plant characteristics are private information and firms have an incentive to overstate costs. Instead, system operators thus proxy marginal cost of power plants from past offers of the respective plant, which leaves room for strategic manipulation by firms. This article tests the accuracy of this best-practice benchmark approach against multiple suggested alternative methods. The results of our empirical analysis reveal a low estimation accuracy of the currently applied benchmark approach. All suggested alternative approaches deliver more precise estimates.