Purpose: Circular economy (CE) principles have evolved in response to natural resource depletion as a set of guidelines for eliminating the linear take-use-dispose model of product consumption. The consequences of shifting from a linear to a circular supply chain are difficult to visualize in...

Volatility clustering and fat tails are prominently observed in financial markets. Here, we analyze the underlying mechanisms of three agent-based models explaining these stylized facts in terms of market instabilities and compare them on empirical grounds. To this end, we first develop a...

The accumulation of new technological capabilities is of high empirical relevance, both for the development of countries and the business success of firms. In this paper, we aim to delineate strategies how these processes of capability accumulation can be considered more accurately in...

Small-scale irrigation has been identified as a potential adaptation strategy for climate change and boosting food security and livelihoods in dry regions. This study presents the analysis of the potential adoption of small-scale irrigation in two West African countries (Mali and Niger) by using...

We design a series of simulation-based thought experiments to deductively evaluate the causal effects of various factors on wealth inequality (the distribution) and social mobility (dynamics of the distribution). We find that uncertainty per se can lead to a “natural” degree of inequality...

The global energy crisis that began in fall 2021 and the following spike in energy price constitute a major challenge for the world economy which risks undermining the post-COVID-19 recovery. In this paper, we develop and validate a new macroeconomic agent-based model with an endogenous energy...

Purpose: This paper aims to explore drivers of the effectiveness of risk assessments in risk workshops. Design/methodology/approach: This study uses an agent-based model to simulate risk assessments in risk workshops. Combining the notions of transactive memory and the ideal speech situation,...

We use an agent-based stock-flow consistent model of a closed economy without technological change that considers different classes of households, status consumption and a Minskyan banking sector to analyze the relationship between rising saving rates, the accumulation and distribution of...

Multi-Criteria Decision Analysis (MCDA) is a sub-discipline of operations research that aims to solve multi-objective optimization problems by evaluating competing factors in decision-making. MCDA supports multidimensional decision-making processes through the analysis of diverse inputs at...

Extreme natural hazards represent, together with crises and wars, the most disruptive phenomena for economic activity. Their economic impact has been shown to be remarkable, long-lasting, and growing over time, though the exact mechanisms at stake are challenging to isolate and quantify. As...

Critiques of Neoclassical Economics extend, unsurprisingly, to its mathematical structure. The discussion has largely focused on General Equilibrium Theory (GET), a formalism developed by Léon Walras over a century ago. Internally consistent, but highly unrealistic, GET lacks predictive power,...

The ambiguity of the empirical results on the relationship between copyright and creativity calls for a better theoretical understanding of the issue, possibly enlarging the analysis to other factors such as technology and copyright enforcement. This paper addresses these complex policy issues...

Building upon the labour-augmented K+S modelling framework (Dosi et al., 2010, 2017, 2020), we address the analysis of the North-South divide by means of an agent-based model (ABM) endogenously reproducing divergence between two artificial macro-regions characterized by identical initial...

After land prices in Germany increased continuously since 2006, policy makers, representatives of farmers' unions, NGOs, and farmers started and continued to discuss or propose new land market regulations to stop price increases and to protect particularly smaller farmers. In this paper we...

This paper analyses the effects of borrower-specific credit constraints on macroeconomic outcomes in an agent-based housing market model, calibrated using U.K. household survey data. We apply different Loan-to-Value (LTV) caps for different types of agents: first-time-buyers, second and...

The energy transition potentially poses an existential risk for major international oil companies (IOCs) if they fail to adapt to low-carbon business models. Projections of energy futures, however, are met with diverging assumptions on its scale and pace, causing disagreement among IOC...

The study proposes an agent-based model to investigate how adoption of climate smart agriculture (CSA) affects food security. The analysis investigates the role of social and ecological pressures (i.e. community network, climate change and environmental externalities) on the adoption of physical...

We propose an empirical test to depict possible endogenous cycles within Heterogeneous Agent Models (HAMs). We consider a 2-type HAM into a standard small-scale dynamic asset pricing framework. On the one hand, fundamentalists base their expectations on the deviation of fundamental value from...

We model the learning process of market traders during the unprecedented COVID-19 event. We introduce a behavioral heterogeneous agents’ model with bounded rationality by including a correction mechanism through representativeness (Gennaioli et al., 2015). To inspect the market crash induced...

Coronavirus disease (COVID-19) has spread for over a year and affected many aspects, including food supply chain. One of the impacts of COVID-19 in food supply chain is the reduction of food production capacity. It is necessary to develop the optimum food supply chain strategy by determining the...

We study a Bayesian learning model with heterogeneity in which the agents control both short-term manipulations and long-term efforts aimed at solving the optimal contract in dynamic environments. At the same time, considering the dynamic characteristics of contracts, the paper considers the...

Manufacturing companies face tough challenges in leveling their capacity load due to unsteady market conditions, like fluctuating demand. This induces frequent re-scheduling in order to harmonize the capacity utilization of machine tools to meet customer requirements in terms of delivery time,...

Overconfidence has been extensively documented in psychology and economics. This paper studies the long-term interaction between two overconfident agents who learn about common payoff-relevant fundamentals, such as the quality of a joint project or their working environment, and choose how...

We study settings in which, prior to playing an incomplete information game, players observe many draws of private signals about the state from some information structure. Signals are i.i.d. across draws, but may display arbitrary correlation across players. For each information structure, we...