Increasing farmers’ acceptance and adoption of environmentally beneficial farming practices is essential for mitigating negative impacts of agriculture. To support adoption through policy, it is necessary to understand which types of farms or farmers do or do not (yet) apply such practices. However, farmers are not a homogeneous group and their behavior is subject to a complex array of structural, socioeconomic, and socio-psychological influences. Reducing this complexity, farmer typologies or archetypes are useful tools for understanding differing motivations for the uptake of sustainable farming practices. Previous investigations of the role of farmer archetypes in the adoption of such practices rely on either purely qualitative or purely quantitative methods in data collection, typology creation, and hypothesis testing. Our study combines both approaches by classifying survey respondents into farmer types based on a previous Q methodological study. We then use these types in a two-part regression model that aims to explain participation in agri-environmental schemes (AES) and the level of scheme participation. To control for farm structural factors, we additionally link our questionnaire data to secondary data from the farm accountancy data network. Results indicate that in Austria, AES are attractive to all types of farmers, but the level of participation (AES income per hectare) in these schemes differs between archetypes: Profitability-oriented farmers participate less, and nature-oriented farmers participate more than other types. This suggests that monetary compensations for sustainable farming practices are not perceived as sufficient by certain groups of farmers, and policy makers need to consider additional kinds of incentives.

提高农民对环境有益的耕作方式的接受和采用对于减轻农业的负面影响至关重要。为了通过政策支持采用，有必要了解哪些类型的农场或农民（尚未）采用或不采用此类做法。然而，农民并不是一个同质的群体，他们的行为受到一系列复杂的结构、社会经济和社会心理影响。降低这种复杂性，农民类型或原型是了解采用可持续农业实践的不同动机的有用工具。以前对农民原型在采用此类做法中的作用的调查依赖于数据收集、类型学创建和假设检验中的纯定性或纯定量方法。我们的研究结合了这两种方法，根据之前的 Q 方法研究将调查受访者分为农民类型。然后，我们在两部分回归模型中使用这些类型，该模型旨在解释参与农业环境计划 (AES) 和计划参与程度。为了控制农场结构因素，我们还将问卷数据与来自农场会计数据网络的二级数据联系起来。结果表明，在奥地利，AES 对所有类型的农民都具有吸引力，但这些计划的参与水平（每公顷 AES 收入）因原型而异：以盈利为导向的农民参与较少，而以自然为导向的农民参与比其他类型更多.