{"title":"Climate change and the US wheat commodity market","authors":"Vincenzo De Lipsis , Paolo Agnolucci","doi":"10.1016/j.jedc.2024.104823","DOIUrl":null,"url":null,"abstract":"<div><p>We study the impact on the workings of the wheat commodity market of increasing weather variability, one of the direct consequences of climate change. After finding strong evidence of an increase in the variance of weather and harvest for wheat in the US, we develop a structural time series model of the commodity market to investigate the sources and consequences of this increased variability. Exploiting this model, we devise a novel empirical procedure to analyze the impact on price and the potential adjustments of the speculative demand for inventories, as predicted by the rational storage theory. We find that speculation in the physical market for wheat at annual frequency adapted to the greater uncertainty about harvest stabilizing the market price.</p></div>","PeriodicalId":48314,"journal":{"name":"Journal of Economic Dynamics & Control","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0165188924000150/pdfft?md5=6c956f09a980bc4571fe2e28e32308d8&pid=1-s2.0-S0165188924000150-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Economic Dynamics & Control","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0165188924000150","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
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Abstract
We study the impact on the workings of the wheat commodity market of increasing weather variability, one of the direct consequences of climate change. After finding strong evidence of an increase in the variance of weather and harvest for wheat in the US, we develop a structural time series model of the commodity market to investigate the sources and consequences of this increased variability. Exploiting this model, we devise a novel empirical procedure to analyze the impact on price and the potential adjustments of the speculative demand for inventories, as predicted by the rational storage theory. We find that speculation in the physical market for wheat at annual frequency adapted to the greater uncertainty about harvest stabilizing the market price.
期刊介绍：
The journal provides an outlet for publication of research concerning all theoretical and empirical aspects of economic dynamics and control as well as the development and use of computational methods in economics and finance. Contributions regarding computational methods may include, but are not restricted to, artificial intelligence, databases, decision support systems, genetic algorithms, modelling languages, neural networks, numerical algorithms for optimization, control and equilibria, parallel computing and qualitative reasoning.
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