黄土高原
Probit模型
农业
山崩
业务
适应(眼睛)
灌溉
环境资源管理
问卷调查
多元化(营销策略)
地理
经济
环境科学
心理学
营销
生态学
社会科学
岩土工程
考古
神经科学
社会学
土壤科学
工程类
计量经济学
生物
作者
Jue Wang,Jingchun Feng
标识
DOI:10.1016/j.crm.2023.100540
摘要
Understanding the determinants of farmers’ disaster adaptation is significant for risk reduction. This study explores farmers’ willingness and influencing factors to adopt various agricultural and non-agricultural adaptation measures to mitigate irrigation-induced landslides on the Loess Plateau, northern China. Multivariate probit models are applied to address the joint decision-making of multiple choices considering their inter-correlations, using data from 397 farmer survey questionnaires. The results reveal that farmers’ characteristics, landslide experience, social factors, landslide perception, and the present adaptation situation play important but different roles in their adaptation decisions regarding various measures (drip irrigation, drought-tolerant crops, income diversification, and migration). Heterogeneity among farmers is considered: Government support, social network, and perception of landslide causation are essential in affecting all of the farmers’ adaptation decisions, while the impacts of the annual income, gender, land scale, and risk perception on non-agriculture farmers and full-time or part-time farmers are opposite. Notably, current adaptation hinders farmers’ future actions. The probability of adopting a specific measure is estimated to be higher than that of joint adoption. Barriers to adaptation are also addressed, and policy implications are discussed. This study provides a theoretical and practical reference for mitigating landslide risks that are caused by artificial triggers.
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