Mohamed Abdelaziz Eissa , Hisham Al Refai , Georgios Chortareas
{"title":"Climate policy uncertainty, geopolitical risk, oil volatility, and global food price volatility: A time-varying analysis","authors":"Mohamed Abdelaziz Eissa , Hisham Al Refai , Georgios Chortareas","doi":"10.1016/j.econmod.2025.107272","DOIUrl":null,"url":null,"abstract":"<div><div>This study investigates the impact of climate policy uncertainty (CPU), geopolitical risk (GPR), economic policy uncertainty (EPU), and oil volatility (OVX) on global food price volatility (VFPI), addressing gaps in the literature on dynamic and multi-source uncertainty effects. Prior research has explored individual determinants of food price fluctuations, but few studies integrate multiple uncertainty indices in a time-varying framework. Using monthly data from June 2007 to August 2023, we apply a Time-Varying Coefficient Vector Autoregression (TVC-VAR) and Markov Switching VAR (MS-VAR) model to assess how these shocks propagate over time. Our results show that CPU has become an increasingly influential driver of food price volatility, especially post-2015, while GPR and OVX exert strong short-run effects. EPU displays a stabilizing influence, particularly during crises. These findings reveal evolving transmission mechanisms of uncertainty into food markets and highlight the need for adaptive, coordinated policy frameworks to safeguard global food security in an era of rising climate and geopolitical risks.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"152 ","pages":"Article 107272"},"PeriodicalIF":4.7000,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economic Modelling","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0264999325002676","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
This study investigates the impact of climate policy uncertainty (CPU), geopolitical risk (GPR), economic policy uncertainty (EPU), and oil volatility (OVX) on global food price volatility (VFPI), addressing gaps in the literature on dynamic and multi-source uncertainty effects. Prior research has explored individual determinants of food price fluctuations, but few studies integrate multiple uncertainty indices in a time-varying framework. Using monthly data from June 2007 to August 2023, we apply a Time-Varying Coefficient Vector Autoregression (TVC-VAR) and Markov Switching VAR (MS-VAR) model to assess how these shocks propagate over time. Our results show that CPU has become an increasingly influential driver of food price volatility, especially post-2015, while GPR and OVX exert strong short-run effects. EPU displays a stabilizing influence, particularly during crises. These findings reveal evolving transmission mechanisms of uncertainty into food markets and highlight the need for adaptive, coordinated policy frameworks to safeguard global food security in an era of rising climate and geopolitical risks.
期刊介绍:
Economic Modelling fills a major gap in the economics literature, providing a single source of both theoretical and applied papers on economic modelling. The journal prime objective is to provide an international review of the state-of-the-art in economic modelling. Economic Modelling publishes the complete versions of many large-scale models of industrially advanced economies which have been developed for policy analysis. Examples are the Bank of England Model and the US Federal Reserve Board Model which had hitherto been unpublished. As individual models are revised and updated, the journal publishes subsequent papers dealing with these revisions, so keeping its readers as up to date as possible.