In agriculture, a rising number of sustainability assessments are available that also comprise financial ratios. In a literature review of farm management textbooks, taking account of the differences between European and North American practices and considering prevalent sustainability assessment approaches, we identified frequently used financial ratios. Five ratios relate to the indicator profitability and four to the indicator liquidity. Another eight financial indicators refer to the indicators financial efficiency, stability, solvency and repayment capacity. Based on more than 14,000 accountancies of dairy farms from the Swiss Farm Accountancy Data Network (FADN), we carried out a Spearman correlation analysis for normalised and harmonised financial ratios. The correlation analysis revealed mostly positive correlations. To assess the implementation of a quantitative economic sustainability assessment we compare an aggregated indicator compound of all 17 ratios with two selections of financial ratios–first, a compound European and, second, a compound North American economic sustainability indicator. The correlation between the complete and the reduced sets of indicators suggest that both aggregate economic indicators can be reasonably applied to estimate the economic sustainability for Swiss dairy farms.

Assuming full exhaustion of their estimated service life—also referred to as estimated technical working life—the low annual utilisation of agricultural machines in Switzerland leads to a long operational life. To determine the costs of an additional year’s service, we calculate the life-cycle costs (LCCs), which encompass all costs for an 82 kW four-wheel-drive tractor over its entire operational life. Assuming full utilisation of the estimated service life of 10,000 h, five operating versions are compared, each with an operational life of between 10 and 30 years and matched annual utilisations between 1000 h and 333 h. A key finding is that an additional year in service increases LCCs by 4.5% of the tractor’s purchase price. In addition, we carry out a sensitivity analysis by applying discount rates of between 0% and 4%, finding that a comparatively high discount rate of 3% leads to almost identical LCCs for all operating versions. We conclude that the annual utilisation and the resulting duration of operational life have a strong impact on LCCs. A short operational life associated with high annual utilisation is a promising strategy for substantially cutting machinery costs.

To promote the provision of animal-friendly housing and management exceeding the minimal legal standards, the Swiss government offers direct payments through two programs for several farm animal species. In dairy cows the BTS program pays for group housing systems with a comfortable lying area separated from the feeding area. The other program, the RAUS, requires that cows receive regular exercise in an outdoor run in the winter and a pasture during summer. The aim of the study was to analyze the relationship between the two Swiss direct payment programs and the veterinary and insemination costs for dairy cows. We used a large sample of more than 21,000 dairy farm observations from 2004 to 2014 obtained from the Swiss Farm Accountancy Data Network. A propensity score weighting was combined with a linear regression model to estimate the doubly robust treatment effects of the BTS and/or RAUS programs on dairying and breeding. Compared to the control group, that is, farms participating in neither program, farms in the RAUS tended to reduce their veterinary costs by 2% (CHF 4.71). Participation in both the BTS and RAUS programs resulted in a 10% cost reduction (CHF 19.32). An analysis of the effects of participation in both programs, with farms participating in only the RAUS as the control group, indicated a cost reduction of 7% for the farms participating in both programs (CHF 13.54). In contrast, participation in the RAUS only or in the RAUS and the BTS did not have a significant effect on insemination costs. The results thus indicate that the implementation of higher welfare standards can have a positive effect on the economic situation of a farm.

This paper addresses the allocation of indirect or joint costs among farm enterprises, and elaborates two maximum entropy models, the basic CoreModel and the InequalityModel, which additionally includes inequality restrictions in order to incorporate knowledge from production technology. Representing the indirect costing approach, both models address the individual-farm level and use standard costs from farm-management literature as allocation bases. They provide a disproportionate allocation, with the distinctive feature that enterprises with large allocation bases face stronger adjustments than enterprises with small ones, approximating indirect costing with reality. Based on crop-farm observations from the Swiss Farm Accountancy Data Network (FADN), including up to 36 observations per enterprise, both models are compared with a proportional allocation as reference base. The mean differences of the enterprise’s allocated labour inputs and machinery costs are in a range of up to ±35% and ±20% for the CoreModel and InequalityModel, respectively. We conclude that the choice of allocation methods has a strong influence on the resulting indirect costs. Furthermore, the application of inequality restrictions is a precondition to make the merits of the maximum entropy principle accessible for the allocation of indirect costs.

Purpose: The purpose of this paper is to propose a novel way of determining optimal capital structure, applied to sub-groups of Swiss dairy farms from 2003 to 2014. Optimization of capital structure is carried out with respect to two performance indicators from an economic value added perspective.Design/methodology/approach: Optimal values of capital structure are obtained based on a minimization of correlation between economic performance indicators and a distance function of the debt-to-asset ratio distribution to its quantiles. The approach differs from existing approaches in relying solely on empirical data and in using fewer external parameters, which are difficult to estimate, such as risk aversion coefficients. An unbalanced panel data set from the Swiss Farm Accounting Network with almost 14,000 dairy farm observations serves as input data to the model.Findings: Concise optimal values of capital structure result for regional and temporal sub-groups of Swiss dairy farms. Comparing the evolution of optimal values for these sub-groups with existing models of optimal capital structure, the authors infer that dairy farmers in the mountain region are less risk averse than their counterparts in the valley region and that falling interest rates increase the optimal value of debt-to-asset ratio.Originality/value: The straightforward computation of optimal values for capital structure without intermediate parameters is useful and new. In addition, the authors’ model can be used as a tool for comparison and validation of previous models with the same aim, e.g. for comparison of risk aversion coefficients or qualitative behavior of optimal values for capital structure.

Using a discrete choice experiment and a mixed-effects logit model, this article analyses the job preferences of 300 dairy farmers in the eastern part of Switzerland who intend to stay in milk production. The results show that a shift to suckler cow husbandry plus additional employment or to a job completely outside of agriculture would only be considered by dairy farmers in exchange for