To meet global demands towards food security, safety as well as sustainable agriculture and food systems innovative approaches are inevitable. Despite the growing body of literature in both innovation research and in values and aims, what has been explored to a lesser extent is the bridging link between these areas. This study represents a first step in addressing this relationship. Policy- and decision-makers foster sustainable innovation in agriculture, since on-farm innovation and innovation adoption have attracted their attention as a means of enhancing competitiveness as well as socially and environmentally benign farming also benefiting rural areas. By using a negative binomial model we explore the relationship between farmers’ innovativeness and those values and aims which guide farmers’ farm-management decisions as well as other farm/farmer characteristics. Based on a sample of 174 Austrian farmers agricultural education is found to be an essential driver of innovativeness. Regarding the different values we find that self-direction and hedonistic values, in contrast to achievement and economic, are associated with more innovative capabilities. In conclusion, we see a need to foster self-direction and hedonistic narratives in policy and extension service, together with reducing the focus on an economic angle to promote farmers’ innovation capabilities.

In order to tackle climate change and biodiversity loss, the European Union (EU) promotes extensive farming. However, identifying such farms across countries and assessing their performance for policy purposes remains challenging. This paper combines a latent class stochastic frontier model (LCSFM) with a novel nested metafrontier approach. The resulting model enables the identification of intensive and extensive farms across countries, estimation of farm efficiency and identification of different technology gaps. Based on Farm Accountancy Data Network data of French, Irish and Austrian dairy farms,we find poorer environmental but better economic performance of intensive farms, compared to extensive farms. The largest productivity differences stem from technology gaps and not from inefficiency. The approach enables a more nuanced analysis of sources of inefficiency to assist policy design for future green payments in the EU.

The aim of this paper is to elicit the marginal willingness to pay (MWTP) for the improved provision of public goods (PGs) by agriculture in a region of intensive agricultural production, embodying many of the environmental problems related to agriculture within and outside the European Union (EU). Our analysis was based on a participatory approach, combining the involvement of local stakeholders and a discrete choice experiment (DCE) in the Marchfeld region in Austria. We estimated a random parameters logit model (RPL), including interactions with socio-demographic factors, to disentangle preference heterogeneity and find a positive MWTP of the local population for all three PGs analyzed: (i) groundwater quality; (ii) landscape quality; and (iii) soil functionality in connection with climate stability. Furthermore, MWTP varies considerably with respect to age, farmers/non-farmers and locals/incomers. Further research could combine the results of this demand-side valuation with those of a supply-side valuation, where the opportunity costs of different management options for farmers are estimated. Based on such a cost–benefit analysis and further participation of local stakeholders, new governance mechanisms for the smart and sustainable provision of PGs by agriculture could be developed for the Marchfeld region and for comparable European regions.

Many farm-management practices focus on maximizing production, while others better reconcile production with the regulation of ecological processes and sociocultural identity through the provisioning of ecosystem services (ESs). Though many studies have evaluated the performance of management practices against ES supply, these studies often focused on only a few practices simultaneously. Here, we incorporate 23 distinct management practices in a rapid evidence assessment to draw more comprehensive conclusions on their supply potential across 14 ESs in European agriculture. The results are visualized using performance indicators that quantify the ES-supply potential of a given management practice. In total, 172 indicators are calculated, among which cover crops are found to have the strongest positive impact on pollination-supply potential, while extensive livestock management is found to have the strongest negative impact for the supply potential for habitat creation/protection. The indicators also provide insight into the state of the peer-reviewed literature. At both the farm and territorial levels, the literature noticeably fails to evaluate cultural services. Further, disparities between the number of indicators composed at the farm and territorial levels indicate a systematic bias in the literature toward the assessment of smaller spatial levels.

Limiting the impact of climate change on agriculture is a major goal of the European Union. This requires the evaluation of farm‐level adaptation measures, available within the Common Agricultural Policy. We investigate how the adoption of soil conservation measures by farms in Austrian arable regions affects their economic performance. By applying an endogenous switching regression model to panel data, we find that climatic conditions significantly influence the decision on whether to adopt soil conservation measures. The net revenue of adopters is less sensitive to long‐term temperature and precipitation changes than for non‐adopters. The measures are profitable for a majority of farms. However, profitability is linked to baseline climatic conditions, with negative effects in cool, wet regions and significantly greater positive effects in warm, dry regions.