We argue that the increasing use of experimental approaches in transition and transformational research on potential sustainability solutions could substantially profit from application of the principles of stratification and stratified experimental design. We illustrate our proposition with two...

Econometric standard practice in model building and selection operates under the null hypothesis statistical testing (NHST) paradigm. We show why the information-theoretic (IT) paradigm is more appropriate for econometrics, and follow up with a survey of all papers published in the period 2000...

We synthesize and discuss the available knowledge on the role of human cognition biases for sustainability and sustainable behavior. Human cognition biases are defined as any deviation in decision making from the standard framework of rational choice. We distinguish between biases in individual...

We re-investigate evidence for the non-equilibrium concept for rangelands using a georeferenced data base of N =83 studies published in peer-reviewed journals. Following up on a previous study by von Wehrden et al. (2012), we use their global map of rainfall variability and their method to...

In academia and political debates, the notion of ‘degrowth’ has gained traction since the dawn of the 21st century. While some uncertainty around its exact definition remains, research on degrowth revolves around ‘a planned reduction of energy and resource use’ (Hickel 2021, 1105) as a...

We survey the emerging research area of sustainability economics through a quantitative full-text analysis of peer-reviewed journal publications from 1987 to 2013. To identify relevant contributions, we draw on established definitions of sustainability economics for a keyword-based...

Decision-making about economy-environment systems is often characterized by deep uncertainties. We provide an axiomatic foundation of preferences over lotteries with known payoffs over known states of nature and unknown probabilities of these outcomes (“Knightian uncertainty"). We elaborate...

We propose a new three-step model-selection framework for size distributions in empirical data. It generalizes a recent frequentist plausibility-of-fit analysis (Step 1) and combines it with a relative ranking based on the Bayesian Akaike Information Criterion (Step 2). We enhance these...