Yueqing Ji, Yongyi Fu, Liping Kong, Price M. Amanya, Zongyao Yang
{"title":"Ex-ante and ex-post adaptation: Farmers’ fertilizer strategies for extreme weather events in China","authors":"Yueqing Ji, Yongyi Fu, Liping Kong, Price M. Amanya, Zongyao Yang","doi":"10.1016/j.crm.2025.100745","DOIUrl":null,"url":null,"abstract":"<div><div>This study investigates farmers’ fertilizer strategies as ex-ante and ex-post adaptations to extreme weather events in China. Using plot-level data from 778 maize farmers across three provinces collected in 2015 and 2018, we employ two-way fixed effects models to analyze how farmers adjust fertilizer quantity both before and during the growing season in response to floods, droughts, and windstorms. The results show that farmers increase ex-ante fertilizer application under flood risk but reduce input when anticipating drought and windstorm risks. After disaster shocks, they supplement fertilizer as an ex-post coping strategy. Heterogeneity analysis reveals that smallholders and nitrogen fertilizers are more sensitive to extreme weather, and that the effects of disaster severity are nonlinear and vary by disaster type. Mechanism analysis suggests that ex-ante fertilizer use can mitigate flood risk but may increase vulnerability to drought and windstorms, whereas ex-post use broadly aids recovery. Extended analysis uncovers a substitution effect between public interventions and private adaptation. These findings provide micro-level empirical evidence and policy insights for balancing food security and environmental sustainability amid rising extreme weather.</div></div>","PeriodicalId":54226,"journal":{"name":"Climate Risk Management","volume":"50 ","pages":"Article 100745"},"PeriodicalIF":5.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Climate Risk Management","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212096325000592","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
This study investigates farmers’ fertilizer strategies as ex-ante and ex-post adaptations to extreme weather events in China. Using plot-level data from 778 maize farmers across three provinces collected in 2015 and 2018, we employ two-way fixed effects models to analyze how farmers adjust fertilizer quantity both before and during the growing season in response to floods, droughts, and windstorms. The results show that farmers increase ex-ante fertilizer application under flood risk but reduce input when anticipating drought and windstorm risks. After disaster shocks, they supplement fertilizer as an ex-post coping strategy. Heterogeneity analysis reveals that smallholders and nitrogen fertilizers are more sensitive to extreme weather, and that the effects of disaster severity are nonlinear and vary by disaster type. Mechanism analysis suggests that ex-ante fertilizer use can mitigate flood risk but may increase vulnerability to drought and windstorms, whereas ex-post use broadly aids recovery. Extended analysis uncovers a substitution effect between public interventions and private adaptation. These findings provide micro-level empirical evidence and policy insights for balancing food security and environmental sustainability amid rising extreme weather.
期刊介绍:
Climate Risk Management publishes original scientific contributions, state-of-the-art reviews and reports of practical experience on the use of knowledge and information regarding the consequences of climate variability and climate change in decision and policy making on climate change responses from the near- to long-term.
The concept of climate risk management refers to activities and methods that are used by individuals, organizations, and institutions to facilitate climate-resilient decision-making. Its objective is to promote sustainable development by maximizing the beneficial impacts of climate change responses and minimizing negative impacts across the full spectrum of geographies and sectors that are potentially affected by the changing climate.