To achieve social sustainability, there is a need to incorporate social metrics of farmers’ well-being into agricultural monitoring systems. We contribute to the operationalisation of the measurement of farmers’ well-being by determining how farm-level factors influence farmers’ satisfaction with their work and quality of life. Using a data sample of 1099 farms that are part of the Farm Accountancy Data Network (FADN) in nine European countries, we tested a set of hypotheses related to work satisfaction and life quality perception based on a structural equation model. Satisfaction with on-farm work has a significant and substantial influence on satisfaction with quality of life. Farm-level aspects, such as working time, age of assets, financial situation of the farm and community engagement, significantly influenced farmers’ satisfaction with farming, but their joint effect explained less than one-fifth of the satisfaction. The results suggest that agricultural information systems intended to monitor and compare sustainability progress on farms would benefit from the integration of a metric measuring social concerns from the farmers’ point of view.

中文翻译：

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衡量农民幸福感：农场层面因素对工作满意度和生活质量的影响

为了实现社会可持续性，需要将农民福祉的社会指标纳入农业监测系统。我们通过确定农场层面的因素如何影响农民对其工作和生活质量的满意度，为农民福祉测量的实施做出贡献。我们使用来自 9 个欧洲国家的农场会计数据网络 (FADN) 的 1099 个农场的数据样本，基于结构方程模型测试了一组与工作满意度和生活质量感知相关的假设。对农场工作的满意度对生活质量的满意度有显着和实质性的影响。农场层面的方面，例如工作时间、资产年龄、农场的财务状况和社区参与，显着影响农民对耕作的满意度，但它们的联合效应对满意度的解释不到五分之一。结果表明，旨在监测和比较农场可持续性进展的农业信息系统将受益于从农民的角度衡量社会关注的指标的整合。