World markets are highly interlinked and local economies extensively rely on global supply and value chains. Consequently, local production disruptions, for instance caused by extreme weather events, are likely to induce indirect losses along supply chains with potentially global repercussions....

Agent-based economics has emerged to complement analytical and empiricalmethods by allowing for more complex heterogeneity in models. Extending theagent-based global trade model Acclimate with five consumer groups, we studyheterogeneity of market emerging consumption price elasticity in response...

Shipping accidents and environmental disasters pose a challenge to the reliability of maritime supply chains. With international trade intensifying without a significant diversification of the supply routes the risk of perturbations is likely to increase, because higher atmospheric carbon...

Shipping accidents and environmental disasters pose a challenge to the reliability of maritime supply chains. With international trade intensifying without a significant diversification of the supply routes the risk of perturbations is likely to increase, because higher atmospheric carbon...

Tropical cyclones (TCs) are one of the most destructive natural hazards. Damages arise from strong winds, compounded by associated flood-inducing hazards such as heavy rainfall and storm surge. Recent papers have shown that the modelled TC damage estimates fall short of the observed estimates...

Inter-firm organizations, which play a driving role in the economy of a country, can be represented in the form of a customer-supplier network. Such a network exhibits a scale-free degree distribution, disassortative mixing and a prominent community structure. We analyze a large-scale data set...

The recent literature has well documented the impact of climate on per capita gross domestic product across countries. However, except for a few country-specific studies, the literature on climate impact on sectoral activities still needs to be explored. Using a panel data regression approach...