Climate Change-Driven Shifts in Staple Crop Structure: Evidence From Northern China

IF 4.7 3区 经济学 Q1 AGRICULTURAL ECONOMICS & POLICY
Chujie Liu, Xiaoyun Li, Jordan Chamberlin, Liangzhi You
{"title":"Climate Change-Driven Shifts in Staple Crop Structure: Evidence From Northern China","authors":"Chujie Liu,&nbsp;Xiaoyun Li,&nbsp;Jordan Chamberlin,&nbsp;Liangzhi You","doi":"10.1111/agec.70093","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Climate change is reshaping agricultural production, with adjustments in crop structure serving as a vital climate adaptation strategy. Drawing on county-level agricultural data (1985–2019) and climate data (1965–2019), this study employs a panel fixed effects model to assess the impacts of climate change on the area shares of wheat, maize, and rice in Northern China, as well as their implications for grain production. The results reveal heterogeneous crop-specific responses. The growing degree days (GDDs) is positively associated with maize area—with each 10°C·day increase in GDD associated with an approximately 0.24% rise in maize area share—while having a significantly negative effect on wheat. These effects are more pronounced in colder regions and in a single-cropping system, reflecting agroecological heterogeneity. On the other hand, increased precipitation is associated with expansions in both wheat and maize area shares, with the effect being more evident for wheat. These climate-driven adjustments in Northern China contributed to an estimated 1.42% increase in China's total grain output over the study period. Further mechanism analysis, using competing crops as a case, shows that the positive impact of GDD on spring maize productivity is notably greater than that for spring wheat, suggesting that higher GDD enhances the comparative advantage of maize, thereby expanding its area share while reducing that of spring wheat. We also find that increased precipitation is significantly associated with multiple cropping index (MCI) increases, offering an additional adjustment pathway. By incorporating socio-economic factors into the analytical framework, our results indicate that improved irrigation capacity can effectively moderate the impacts of climate change on cropping patterns—by mitigating the negative effect of GDD on area shares of wheat and rice, and strengthening the positive effect of GDD on maize. Additionally, the adverse impact of GDD on wheat is substantially weaker in major grain-producing counties compared with nonmajor ones. These findings enhance our understanding of how staple crop structure in Northern China responds to climate change and the attendant implications for food security. Our analysis can help policymakers to formulate more targeted adaptation strategies that optimize land use and sustain stable grain production.</p>\n </div>","PeriodicalId":50837,"journal":{"name":"Agricultural Economics","volume":"57 2","pages":""},"PeriodicalIF":4.7000,"publicationDate":"2026-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agricultural Economics","FirstCategoryId":"96","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/agec.70093","RegionNum":3,"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

Climate change is reshaping agricultural production, with adjustments in crop structure serving as a vital climate adaptation strategy. Drawing on county-level agricultural data (1985–2019) and climate data (1965–2019), this study employs a panel fixed effects model to assess the impacts of climate change on the area shares of wheat, maize, and rice in Northern China, as well as their implications for grain production. The results reveal heterogeneous crop-specific responses. The growing degree days (GDDs) is positively associated with maize area—with each 10°C·day increase in GDD associated with an approximately 0.24% rise in maize area share—while having a significantly negative effect on wheat. These effects are more pronounced in colder regions and in a single-cropping system, reflecting agroecological heterogeneity. On the other hand, increased precipitation is associated with expansions in both wheat and maize area shares, with the effect being more evident for wheat. These climate-driven adjustments in Northern China contributed to an estimated 1.42% increase in China's total grain output over the study period. Further mechanism analysis, using competing crops as a case, shows that the positive impact of GDD on spring maize productivity is notably greater than that for spring wheat, suggesting that higher GDD enhances the comparative advantage of maize, thereby expanding its area share while reducing that of spring wheat. We also find that increased precipitation is significantly associated with multiple cropping index (MCI) increases, offering an additional adjustment pathway. By incorporating socio-economic factors into the analytical framework, our results indicate that improved irrigation capacity can effectively moderate the impacts of climate change on cropping patterns—by mitigating the negative effect of GDD on area shares of wheat and rice, and strengthening the positive effect of GDD on maize. Additionally, the adverse impact of GDD on wheat is substantially weaker in major grain-producing counties compared with nonmajor ones. These findings enhance our understanding of how staple crop structure in Northern China responds to climate change and the attendant implications for food security. Our analysis can help policymakers to formulate more targeted adaptation strategies that optimize land use and sustain stable grain production.

气候变化驱动的主要作物结构变化:来自中国北方的证据
气候变化正在重塑农业生产,调整作物结构是一项至关重要的气候适应战略。本研究利用1985-2019年县域农业数据和1965-2019年气候数据,采用面板固定效应模型评估了气候变化对中国北方小麦、玉米和水稻面积份额的影响及其对粮食生产的影响。结果揭示了不同作物的特异性反应。生长日数(GDD)与玉米面积呈正相关,GDD每增加10°C·d,玉米面积份额增加约0.24%,而对小麦有显著的负向影响。这些影响在较冷地区和单作制度中更为明显,反映了农业生态异质性。另一方面,降水增加与小麦和玉米面积份额的扩大有关,对小麦的影响更为明显。在研究期间,这些气候驱动的调整对中国北方粮食总产量的贡献估计为1.42%。进一步以竞争作物为例进行机理分析,发现GDD对春玉米生产力的正向影响显著大于春小麦,说明较高的GDD增强了玉米的比较优势,从而扩大了玉米的面积份额,降低了春小麦的面积份额。研究还发现,降水量的增加与复种指数(MCI)的增加有显著的相关性,提供了一个额外的调节途径。通过将社会经济因素纳入分析框架,我们的研究结果表明,灌溉能力的提高可以有效地减缓气候变化对种植模式的影响——通过减轻GDD对小麦和水稻面积份额的负面影响,并加强GDD对玉米的积极影响。此外,产粮主产区的gdp对小麦的不利影响明显弱于非产粮主产区。这些发现增强了我们对中国北方主要作物结构如何响应气候变化及其对粮食安全的影响的理解。我们的分析可以帮助决策者制定更有针对性的适应战略,以优化土地利用和维持稳定的粮食生产。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Agricultural Economics
Agricultural Economics 管理科学-农业经济与政策
CiteScore
7.30
自引率
4.90%
发文量
62
审稿时长
3 months
期刊介绍: Agricultural Economics aims to disseminate the most important research results and policy analyses in our discipline, from all regions of the world. Topical coverage ranges from consumption and nutrition to land use and the environment, at every scale of analysis from households to markets and the macro-economy. Applicable methodologies include econometric estimation and statistical hypothesis testing, optimization and simulation models, descriptive reviews and policy analyses. We particularly encourage submission of empirical work that can be replicated and tested by others.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书