{"title":"Foreword: The Role of Agricultural Trade in Countering the Effects of Extreme Weather","authors":"John T. Saunders","doi":"10.1111/1477-9552.12633","DOIUrl":null,"url":null,"abstract":"<p>The phenomenon of anthropogenic climate change is now well-established, with global temperatures in 2024 having already exceeded the Paris Agreement target ceiling of 1.5°C above pre-industrial levels (Copernicus <span>2025</span>) and extreme weather events (EWEs) an increasing occurrence. EWEs—including flooding, extreme heat, drought and wildfires—have profound implications for agriculture (Burke et al. <span>2015</span>; IPCC <span>2023</span>; Tebaldi and Lobell <span>2018</span>; Zhao et al. <span>2017</span>).</p><p>There has been extensive research on how agriculture will need to adapt to climate change (e.g., Huang and Sim <span>2020</span>), and how policies can facilitate that process, notably by building resilience (Lipper et al. <span>2018</span>; Wreford et al. <span>2010</span>). At the same time, agriculture will likely account for an increasing share of global emissions as other sectors decarbonise, and greater efforts will be needed to reduce sectoral emissions. The latter issue has been explored in recent papers in this journal (Kreft et al. <span>2023</span>; Sørenson et al. <span>2025</span>).</p><p>The impacts of EWEs have been a focus of analysis (e.g., Bezner Kerr et al. <span>2022</span>; Fabri et al. <span>2024</span>; Rosenzweig et al. <span>2001</span>), but the international spill-over effects across markets have received comparatively little attention. Each of the four studies in this <i>Special Focus</i> uses partial equilibrium (PE) modelling to explore how the impacts of extreme weather shocks reverberate across markets. These models are combined with a range of approaches, including stochastic draws based on historic weather variation; Superposed Epoch Analysis; a Combined Stress Index; and a fixed-effects regression analysis on the relationship between weather and overlapping growing periods, to identify and simulate the effects of foreseeable “worst case” scenarios.</p><p>The strength of PE models is that they can capture critical interactions within the agricultural economy with a relatively high degree of disaggregation, a strength which for some inquiries outweighs the weakness of treating other sectors exogenously (a weakness addressed by general equilibrium analysis, e.g., Gouël and Laborde <span>2021</span>). PE models are particularly useful for agricultural policy analysis, for example in assessing how producers and consumers respond to market shocks, and identifying policies that can be used to counter undesired impacts (such as high prices for consumers or suppressed farm incomes).</p><p>Each of the PE models used in this Special Focus has been developed by researchers representing some of the most notable institutions engaged in analysing agricultural policy and markets—the Organisation for Economic Co-operation and Development (OECD); China Agricultural University (CAU) and the International Food Policy Research Institute (IFPRI); the European Commission's Joint Research Centre (JRC) and the Food and Agricultural Policy Research Institute (FAPRI).</p><p>Together, the special focus papers highlight the major impacts of EWEs on agriculture at the global and local levels. Insofar as the papers draw on historic data to project the impacts of EWEs and potentially underestimate their frequency and severity, they are likely to provide lower-bound estimates of the potential buffering role of international markets.</p><p>Global shocks are real, as demonstrated by the food price crisis in 2007–2008 and the ‘aftershock’ in 2011, the war in Ukraine, and the most recent threat of rising protectionism. On balance, however, global markets still play a critical role in pooling and dampening risks, with autarky a particularly risky policy given the possibility of domestic harvest failures.</p><p>As climate change and the rising frequency and severity of EWEs continue to stress global agricultural systems, the papers presented in this special focus provide insights into governmental approaches for alleviating some of this pressure. Trade integration, management of stocks, and investment in closing yield gaps in developing countries may offer means to stabilise prices and reduce domestic and global food insecurity.</p><p>The author declares no conflicts of interest.</p>","PeriodicalId":14994,"journal":{"name":"Journal of Agricultural Economics","volume":"76 2","pages":"239-240"},"PeriodicalIF":4.2000,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1477-9552.12633","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Agricultural Economics","FirstCategoryId":"96","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/1477-9552.12633","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURAL ECONOMICS & POLICY","Score":null,"Total":0}
引用次数: 0
Abstract
The phenomenon of anthropogenic climate change is now well-established, with global temperatures in 2024 having already exceeded the Paris Agreement target ceiling of 1.5°C above pre-industrial levels (Copernicus 2025) and extreme weather events (EWEs) an increasing occurrence. EWEs—including flooding, extreme heat, drought and wildfires—have profound implications for agriculture (Burke et al. 2015; IPCC 2023; Tebaldi and Lobell 2018; Zhao et al. 2017).
There has been extensive research on how agriculture will need to adapt to climate change (e.g., Huang and Sim 2020), and how policies can facilitate that process, notably by building resilience (Lipper et al. 2018; Wreford et al. 2010). At the same time, agriculture will likely account for an increasing share of global emissions as other sectors decarbonise, and greater efforts will be needed to reduce sectoral emissions. The latter issue has been explored in recent papers in this journal (Kreft et al. 2023; Sørenson et al. 2025).
The impacts of EWEs have been a focus of analysis (e.g., Bezner Kerr et al. 2022; Fabri et al. 2024; Rosenzweig et al. 2001), but the international spill-over effects across markets have received comparatively little attention. Each of the four studies in this Special Focus uses partial equilibrium (PE) modelling to explore how the impacts of extreme weather shocks reverberate across markets. These models are combined with a range of approaches, including stochastic draws based on historic weather variation; Superposed Epoch Analysis; a Combined Stress Index; and a fixed-effects regression analysis on the relationship between weather and overlapping growing periods, to identify and simulate the effects of foreseeable “worst case” scenarios.
The strength of PE models is that they can capture critical interactions within the agricultural economy with a relatively high degree of disaggregation, a strength which for some inquiries outweighs the weakness of treating other sectors exogenously (a weakness addressed by general equilibrium analysis, e.g., Gouël and Laborde 2021). PE models are particularly useful for agricultural policy analysis, for example in assessing how producers and consumers respond to market shocks, and identifying policies that can be used to counter undesired impacts (such as high prices for consumers or suppressed farm incomes).
Each of the PE models used in this Special Focus has been developed by researchers representing some of the most notable institutions engaged in analysing agricultural policy and markets—the Organisation for Economic Co-operation and Development (OECD); China Agricultural University (CAU) and the International Food Policy Research Institute (IFPRI); the European Commission's Joint Research Centre (JRC) and the Food and Agricultural Policy Research Institute (FAPRI).
Together, the special focus papers highlight the major impacts of EWEs on agriculture at the global and local levels. Insofar as the papers draw on historic data to project the impacts of EWEs and potentially underestimate their frequency and severity, they are likely to provide lower-bound estimates of the potential buffering role of international markets.
Global shocks are real, as demonstrated by the food price crisis in 2007–2008 and the ‘aftershock’ in 2011, the war in Ukraine, and the most recent threat of rising protectionism. On balance, however, global markets still play a critical role in pooling and dampening risks, with autarky a particularly risky policy given the possibility of domestic harvest failures.
As climate change and the rising frequency and severity of EWEs continue to stress global agricultural systems, the papers presented in this special focus provide insights into governmental approaches for alleviating some of this pressure. Trade integration, management of stocks, and investment in closing yield gaps in developing countries may offer means to stabilise prices and reduce domestic and global food insecurity.
人为气候变化现象现已得到确认,2024年全球气温已超过《巴黎协定》设定的比工业化前水平高出1.5°C的目标上限(哥白尼2025年目标),极端天气事件(ewe)越来越多。ewe——包括洪水、极端高温、干旱和野火——对农业有着深远的影响(Burke et al. 2015;联合国政府间气候变化专门委员会2023年;Tebaldi和Lobell 2018;Zhao et al. 2017)。关于农业需要如何适应气候变化(例如,Huang和Sim 2020),以及政策如何促进这一进程,特别是通过建立复原力(Lipper等人,2018;Wreford et al. 2010)。与此同时,随着其他行业的脱碳,农业在全球排放中所占的份额可能会越来越大,因此需要付出更大的努力来减少行业排放。后一个问题已在本杂志最近的论文中进行了探讨(Kreft et al. 2023;Sørenson et al. 2025)。ewe的影响一直是分析的焦点(例如,Bezner Kerr et al. 2022;Fabri et al. 2024;Rosenzweig et al. 2001),但跨市场的国际溢出效应受到的关注相对较少。本专题中的四项研究均使用部分均衡(PE)模型来探讨极端天气冲击的影响如何在整个市场中产生反响。这些模型与一系列方法相结合,包括基于历史天气变化的随机绘制;叠加历元分析;a综合应力指数;并对天气和重叠生长期之间的关系进行固定效应回归分析,以识别和模拟可预见的“最坏情况”情景的影响。PE模型的优势在于,它们可以以相对较高的分解程度捕捉农业经济内部的关键相互作用,对于一些调查来说,这一优势超过了对其他部门进行外部性处理的弱点(一般均衡分析解决了这一弱点,例如Gouël和Laborde 2021)。PE模型对农业政策分析特别有用,例如评估生产者和消费者如何应对市场冲击,以及确定可用于应对不良影响(例如消费者的高价格或农业收入受到抑制)的政策。本专题中使用的每一个PE模型都是由研究人员开发的,这些研究人员代表了一些从事农业政策和市场分析的最著名机构——经济合作与发展组织(OECD);中国农业大学(CAU)和国际粮食政策研究所(IFPRI);欧盟委员会联合研究中心(JRC)和粮食与农业政策研究所(FAPRI)。这些特别重点文件共同强调了环境影响环境对全球和地方两级农业的重大影响。由于这些论文利用历史数据来预测ewe的影响,可能低估了它们的频率和严重程度,它们可能对国际市场的潜在缓冲作用提供了较低的估计。全球冲击是真实存在的,2007-2008年的粮食价格危机、2011年的“余震”、乌克兰战争以及最近保护主义抬头的威胁都证明了这一点。然而,总的来说,全球市场在集中和抑制风险方面仍发挥着关键作用,鉴于国内粮食歉收的可能性,自给自足是一项风险特别大的政策。随着气候变化和不断增加的ewe频率和严重性继续对全球农业系统造成压力,本专题提出的论文为减轻这种压力的政府方法提供了见解。贸易一体化、库存管理和投资于缩小发展中国家的产量差距,可能提供稳定价格和减少国内及全球粮食不安全的手段。作者声明无利益冲突。
期刊介绍:
Published on behalf of the Agricultural Economics Society, the Journal of Agricultural Economics is a leading international professional journal, providing a forum for research into agricultural economics and related disciplines such as statistics, marketing, business management, politics, history and sociology, and their application to issues in the agricultural, food, and related industries; rural communities, and the environment.
Each issue of the JAE contains articles, notes and book reviews as well as information relating to the Agricultural Economics Society. Published 3 times a year, it is received by members and institutional subscribers in 69 countries. With contributions from leading international scholars, the JAE is a leading citation for agricultural economics and policy. Published articles either deal with new developments in research and methods of analysis, or apply existing methods and techniques to new problems and situations which are of general interest to the Journal’s international readership.