Commodity Market Volatility and Supply Chain Resilience in an Era of Geopolitical and Climate Disruptions: A Systematic Literature Review

This dataset supports the systematic review article "Commodity Market Volatility and Supply Chain Resilience in an Era of Geopolitical and Climate Disruptions: A Systematic Literature Review", which synthesises evidence from thirty-two (32) empirical studies examining how geopolitical shocks, trade policy uncertainty, and climate risks affect commodity price dynamics, volatility spillovers, and supply chain resilience in global markets. The review covers multiple commodity classes including energy (oil, gas), agricultural commodities (wheat, corn, soybeans), precious metals, industrial metals, shipping and freight, carbon markets, and agri-food supply chains across global markets with specific regional focuses including China, Europe, the United States, G20 countries, and emerging economies. The dataset includes the PRISMA 2020 checklist, PRISMA flow diagram, inclusion and exclusion criteria (Table 1), complete Boolean search strings for six thematic areas (Table 2), risk of bias assessment raw data adapted from Newcastle-Ottawa Scale, COREQ, and MMAT version 2018 for the thirty-two included studies (Table 3), summary characteristics of the thirty-two included studies including author(s), year, research design, data source, period, geographic coverage, commodities, and analytical methods (Table 4), synthesis of key findings organised by research question components (Table 5), the data extraction form, and the complete reference list of included studies. All files are available under a Creative Commons Zero (CC0 1.0) license.