文献类型：期刊文献

英文题名：The Impact of Information Acquisition on Farmers' Drought Responses: Evidence from China

作者：Han, Huiqing Yang, Jianqiang Zhang, Yingjia

通信作者：Han, HQ[1]

机构：[1]Guizhou Inst Technol, Sch Architecture & Urban Planning, Guiyang 550025, Peoples R China;[2]Guizhou Inst Technol, Sch Econ & Management, Guiyang 550025, Peoples R China

第一机构：贵州理工学院

通信机构：corresponding author), Guizhou Inst Technol, Sch Architecture & Urban Planning, Guiyang 550025, Peoples R China.|贵州理工学院;

年份：2025

卷号：16

期号：7

外文期刊名：INFORMATION

收录：EI(收录号：20253018861470);Scopus(收录号：2-s2.0-105011650355);WOS:【ESCI(收录号:WOS:001535333600001)】；

基金：This research was supported by the Guizhou Philosophy and Social Science Program (21GZYB51).

语种：英文

外文关键词：agricultural adaptation; sustainable farming; information acquisition; extreme climate; value perception; farmer behavior; drought adaptation; threshold effect

摘要：Climate change presents major challenges to agriculture, especially in economically underdeveloped regions. In these areas, farmers often lack access to resources and timely information, which limits their ability to respond effectively to drought and threatens agricultural sustainability. This study uses survey data from farmers in underdeveloped regions of China to examine the association between their ability to acquire information and their drought response behaviors. The results indicate that better information acquisition ability is significantly correlated with more effective and scientifically informed decision-making in drought adaptation strategies. To explore the underlying mechanism, we introduce value perception-that is, farmers' beliefs about the usefulness and benefits of drought adaptation strategies-as a mediating variable. A mechanism model is constructed to test how information acquisition ability relates to behavior indirectly through this perception. We apply a threshold regression model to identify potential nonlinear associations, finding that the relationship between information acquisition ability and drought response behaviors becomes stronger once a certain threshold is surpassed. Additionally, we employ the Item Response Theory (IRT) model to measure the intensity and quality of farmers' adaptation behaviors more accurately. These findings provide theoretical insights and empirical evidence for enhancing agricultural resilience, while acknowledging that causality cannot be definitively established due to the cross-sectional nature of the data. The study also offers useful guidance for policymakers seeking to strengthen farmers' access to information, improve value recognition of adaptive actions, and promote sustainable agricultural development in underdeveloped areas.