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In this paper we show how the Kolm triangle method, which is a standard tool for visualizing allocations in a public good economy, can also be used to provide a diagrammatical exposition of matching mechanisms and their effects on public good supply and welfare. In particular, we describe, on the one hand, for which income distributions interior matching equilibria result, and on the other hand, for which income distributions the agents voluntarily participate in a matching mechanism. As a novel result, we especially show that the “participation zone” is larger than the “interiority zone”

We employ the Kolm triangle approach, which has – compared to most other graphical methods for representing allocations in a public good economy – the advantage that it allows for showing the aggregate budget constraint, the levels of considered agents' private consumption, and the level of public good supply directly in the same diagram.

The Kolm triangle method can be used to visualize important effects of matching in an elegant way, so basically the increase of public good supply through matching. The interiority of matching depends on the income distribution and especially, on how the “interiority zone” is shrinking when the matching rate increases. Moreover, we were able to delimit the “participation zone” in the Kolm triangle. An important and novel insight is that the participation zone is larger than the interiority zone, which means that also corner matching equilibria in which only one agent makes a positive flat contribution to the public good may make both considered agents better off.

Corner matching equilibria in which only one agent makes a positive flat contribution to the public good may improve all considered agents' welfare. How this welfare effect can be generalized to the case of different utility functions and matching rates will be an issue of future research.

The examined matching mechanism finds application in many policy fields where public good undersupply is pending. International climate policy is one of these fields of application, for example.

The Kolm triangle method has been particularly helpful to describe the Nash equilibrium in the case of non-cooperative public good provision and to compare this outcome with Pareto efficient public good allocations. Furthermore, the Kolm triangle approach facilitates the analysis of mechanisms for attaining an efficient public good allocation like the Lindahl equilibrium as well as the study of preconditions and limitations faced by such mechanisms. An important and novel insight of our study is that the participation zone is larger than the interiority zone.

Climate finance is regularly not only seen as a tool to efficiently combat global warming but also to solve development problems in the recipient countries and to support the attainment of sustainable development goals. Thereby, conflicts between distributive and allocative objectives arise, which threaten the overall performance of such transfer schemes. Given the severity of the climate change problem, this study aims to raise concerns about whether the world can afford climate transfer schemes that do not focus on prevention of (and adaptation to) climate change but might be considered as a vehicle of rent-seeking by many agents.

Future designs of international transfer schemes within the framework of the Paris Agreement are to be based on experience gained from existing mechanisms. Therefore, the authors examine different existing schemes using a graphical technique first proposed by David Pearce and describe the conflicts between allocative and distributional goals that arise.

In line with the famous Tinbergen rule, the authors argue that other sustainability problems and issues of global fairness should not be primarily addressed by climate finance but should be mainly tackled by other means.

As there is still ongoing, intense discussion about how the international transfer schemes addressed in Article 6 of the Paris Agreement should be designed, the research will help to sort some of the key arguments.

There are prominent international documents (like the Paris Agreement and the UN 2030 Agenda for Sustainable Development) seeking to address different goals simultaneously. While synergies between policies is desirable, there are major challenges for policy coordination. Addressing several different goals using fewer policy instruments, for example, will not succeed as the Tinbergen Rule points out.

The integration of co-benefits in the analysis allows for taking into account the social effects of climate policy. As the authors argue, climate finance approaches could become overstrained if policymakers would consider them as tools to also solve local sustainability problems.

In this paper, the authors will not only examine what can be learnt from the clean development mechanism (CDM) for future schemes under Article 6 of the Paris Agreement but also observe the experiences gained from a non-CDM scheme. So the authors pay attention to the Trust Fund of the Global Environment Facility (GEF) which was established with global benefit orientation, i.e. – unlike the CDM – it was not regarded as an additional goal to support local sustainable development. Yet, despite its disregard of local co-benefits, the authors think that it is of particular importance to include the GEF in the analysis, as some important lessons can be learnt from it.

The purpose of this paper is to present an efficient algorithm based on a multi‐level adaptive mesh refinement strategy for the solution of ill‐posed inverse heat conduction problems arising in pool boiling using few temperature observations.

The stable solution of the inverse problem is obtained by applying the conjugate gradient method for the normal equation method together with a discrepancy stopping rule. The resulting three‐dimensional direct, adjoin and sensitivity problems are solved numerically by a space‐time finite element method. A multi‐level computational approach, which uses an a posteriori error estimator to adaptively refine the meshes on different levels, is proposed to speed up the entire inverse solution procedure.

This systematic approach can efficiently solve the large‐scale inverse problem considered without losing necessary detail in the estimated quantities. It is shown that the choice of different termination parameters in the discrepancy stopping conditions for each level is crucial for obtaining a good overall estimation quality. The proposed algorithm has also been applied to real experimental data in pool boiling. It shows high computational efficiency and good estimation quality.

The high efficiency of the approach presented in the paper allows the fast processing of experimental data at many operating conditions along the entire boiling curve, which has been considered previously as computationally intractable. The present study is the authors' first step towards a systematic approach to consider an adaptive mesh refinement for the solution of large‐scale inverse boiling problems.

The paper aims to analyse whether experiencing a supply interruption affects the valuation of security of electricity supply.

A blackout in Munich, Germany, in November 2012 is utilised as a natural experiment by conducting a contingent valuation survey around two months after the event. The characteristics of the supply interruption allow for distinguishing between households that were affected by the blackout and those who were not. This provides the opportunity to compare the willingness to pay (WTP) for avoiding and the willingness to accept (WTA) for enduring a supply interruption between affected and non-affected Munich households.

The results show that households who were affected by the outage had a higher WTP for avoiding a hypothetical supply interruption. Although affected households also had a higher WTA for enduring an outage, the WTA-differences between the two groups are not statistically significant. Furthermore, the results indicate that experience with power outages can increase the perceived relevance of the policy objective “security” at the expense of the objective “environmental sustainability”.

The paper contributes to the literature in three general respects. First, the assessment of the relationship between outage experience and the valuation of supply security is based on a natural experiment which avoids most of the shortcomings of previous studies. Second, the paper uses both the WTP and the WTA measure to approximate the valuation of supply security and discusses the differences in their outcomes. Third, these monetary valuations are complemented and compared with general attitudes towards a reliable electricity system.

The study aims to assess the COVID-19 event in three European countries (Germany, Italy and the UK) by investigating the quality of their performance management of it.

Pragmatic constructivism (PC) is employed as a lens through which the performance management of each country can be examined and compared over a period encompassing the first wave of COVID-19.

Official statistics show that one of the countries has a significantly lower death rate. It developed and operated a more detailed and precise system of performance management. From the perspective of PC, this system supported efforts to build a functioning reality construction integrating facts, possibilities, values and communication.

The evaluation of different national approaches to the performance management of the COVID-19 reality is novel to the literature on management accounting. PC is used as a diagnostic tool to pinpoint strengths and weaknesses of the performance management of public sector activities in different countries.