{"title":"心理健康对中国耕地农民技术效率的影响","authors":"Shijia Kang , Fabian Frick , Johannes Sauer","doi":"10.1016/j.jrurstud.2025.103897","DOIUrl":null,"url":null,"abstract":"<div><div>The importance of farmers' mental health has increasingly attracted the attention of researchers in recent years. Our study uses data from arable farmers in China to estimate the determinants of mental health and its impact on farm efficiency. We employ principal-component factor analysis to derive individual depression scores and an endogenous stochastic frontier model to robustly explore the relationship between farmers' mental health and their technical efficiency. We find that age, education, training, trust in surroundings, ICT use, and rural development are positively related to mental health, while low household income and household illness show negative associations. After addressing the endogeneity issue, mental health is positively related to farm efficiency, and this effect is moderated by farmers' education level and participation in off-farm activities. Having a male household head is negatively associated with decreased technical efficiency, while the age of the household head and trust in networks enhance it. Based on the results, policy recommendations include fostering farmers’ education and providing targeted support.</div></div>","PeriodicalId":17002,"journal":{"name":"Journal of Rural Studies","volume":"120 ","pages":"Article 103897"},"PeriodicalIF":5.7000,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The impact of mental health on the technical efficiency of Chinese arable farmers\",\"authors\":\"Shijia Kang , Fabian Frick , Johannes Sauer\",\"doi\":\"10.1016/j.jrurstud.2025.103897\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The importance of farmers' mental health has increasingly attracted the attention of researchers in recent years. Our study uses data from arable farmers in China to estimate the determinants of mental health and its impact on farm efficiency. We employ principal-component factor analysis to derive individual depression scores and an endogenous stochastic frontier model to robustly explore the relationship between farmers' mental health and their technical efficiency. We find that age, education, training, trust in surroundings, ICT use, and rural development are positively related to mental health, while low household income and household illness show negative associations. After addressing the endogeneity issue, mental health is positively related to farm efficiency, and this effect is moderated by farmers' education level and participation in off-farm activities. Having a male household head is negatively associated with decreased technical efficiency, while the age of the household head and trust in networks enhance it. Based on the results, policy recommendations include fostering farmers’ education and providing targeted support.</div></div>\",\"PeriodicalId\":17002,\"journal\":{\"name\":\"Journal of Rural Studies\",\"volume\":\"120 \",\"pages\":\"Article 103897\"},\"PeriodicalIF\":5.7000,\"publicationDate\":\"2025-09-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Rural Studies\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0743016725003389\",\"RegionNum\":1,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GEOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Rural Studies","FirstCategoryId":"90","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0743016725003389","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOGRAPHY","Score":null,"Total":0}
The impact of mental health on the technical efficiency of Chinese arable farmers
The importance of farmers' mental health has increasingly attracted the attention of researchers in recent years. Our study uses data from arable farmers in China to estimate the determinants of mental health and its impact on farm efficiency. We employ principal-component factor analysis to derive individual depression scores and an endogenous stochastic frontier model to robustly explore the relationship between farmers' mental health and their technical efficiency. We find that age, education, training, trust in surroundings, ICT use, and rural development are positively related to mental health, while low household income and household illness show negative associations. After addressing the endogeneity issue, mental health is positively related to farm efficiency, and this effect is moderated by farmers' education level and participation in off-farm activities. Having a male household head is negatively associated with decreased technical efficiency, while the age of the household head and trust in networks enhance it. Based on the results, policy recommendations include fostering farmers’ education and providing targeted support.
期刊介绍:
The Journal of Rural Studies publishes research articles relating to such rural issues as society, demography, housing, employment, transport, services, land-use, recreation, agriculture and conservation. The focus is on those areas encompassing extensive land-use, with small-scale and diffuse settlement patterns and communities linked into the surrounding landscape and milieux. Particular emphasis will be given to aspects of planning policy and management. The journal is international and interdisciplinary in scope and content.