7 research outputs found

    On the link between economic and environmental performance of Swiss dairy farms of the alpine area

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    Purpose: Promoting the economic and environmental performance of Swiss farms is a major objective of Swiss agricultural policy. In the present paper, we investigate the relationship between the economic and global environmental performance of the Swiss dairy farms in the alpine area. Methods: The analysis relies on a sample of 56 dairy farms from the Farm Accountancy Data Network, for which highly precise and comprehensive Life Cycle Assessments have been carried out. The work income per family work unit is used as indicator of the economic performance of a farm. The so-called global environmental performance of a farm is, for its part, measured by means of an eco-efficiency indicator for each environmental impact considered (demand for non-renewable energy resources, eutrophication potential, aquatic ecotoxicity potential, human toxicity potential and land use) and of an aggregate eco-efficiency indicator assessed using a Data Envelopment Analysis-based approach. The relationship between economic and global environmental performance is assessed by means of non-parametric Spearman's rank correlation analysis. Results: The results of the analysis reveal the existence of a positive relationship between economic and global environmental performance. This positive relationship exists for all environmental issues considered and thus also for the aggregate eco-efficiency indicator. Its strength, however, substantially varies from one issue to another. Conclusions: This study provides the evidence that there is no trade-off between economic and global environmental farm performance. When they improve their economic performance, farms also tend to improve their global environmental performance and vice versa. This finding is of central relevance for policy-makers as it should contribute to improving the acceptance among farmers of the environmental objectives of Swiss agricultural policy in terms of an increase in environmental resource use productivity. In this sense this work provides valuable insights into the sustainable performance of the Swiss dairy sector in the alpine are

    Factors Affecting Global versus Local Environmental and Economic Performance of Dairying: A Case Study of Swiss Mountain Farms

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    Improving the sustainability of the dairy food chain requires a simultaneous improvement in global and local environmental performance, as well as in the economic performance of dairy farms. We investigated the effect of different structural, farm management, socio-demographic, technological and natural-environment-related factors on the economic and environmental performance of dairying. Our analysis relied on a case study of 56 Swiss alpine dairy farm observations, for which cradle-to-farm gate life cycle assessments and farm accountancy data were combined. The data refer to the years 2006 to 2008. The effect of the selected factors on farms’ economic and environmental performance was analysed by means of non-parametric statistical approaches. The results revealed the existence of some factors presenting synergies and several factors showing trade-offs in the enhancement of farm global environmental, local environmental and economic performance. More generally, the promotion of farm global environmental performance and farm economic performance was shown to be synergetic whereas the enhancement of farm global and local environmental performance turned out to be mostly antinomic. However, some factors, namely organic farming, higher agricultural education, silage-free milk production, and also, to a weaker extent, full-time farming, larger farm size and lower intensity of cattle concentrates use, showed a potential to bring simultaneous improvements in the global and local environmental performance as well as the economic performance of dairy farming. Policy-makers should be aware of the complexity of the joint improvement of farm economic and environmental performance and only promote factors capable of synergistically enhancing the environmental and economic performance of dairy farming

    Agricultural production and biodiversity conservation: A typology of Swiss farmers’ land use patterns

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    Understanding farmers' land use behaviour is a prerequisite for designing effective policies that aim to protect and enhance biodiversity in agriculture. We develop a typology of Swiss farmers' land use patterns in terms of their agricultural production and biodiversity conservation. We contribute by adopting a comprehensive perspective encompassing not only EFAs (Ecological Focus Areas) but also non-EFAs. Relying on a sample of 2341 Swiss farm observations from the Farm Agri-Environmental and the Farm Accountancy Data Network, we conducted – for each agricultural region (plain, hill and mountain) – a K-means clustering to identify farmland use patterns. We considered four clustering variables, namely agricultural production intensity, the extent of a farm's participation in agri-environmental payment schemes and the impact of farm agricultural practices on the organismal biodiversity of 1) EFAs and 2) non-EFAs. The analysis reveals four distinct farmland use patterns beyond the classical dichotomy of low shares of EFAs and high agricultural production intensity versus high shares of EFAs and low agricultural production intensity. Three of the four land use patterns are similar across all agricultural regions. Our findings show that biodiversity enhancement is possible outside of EFA direct payment programmes. One cluster succeeded in exhibiting both a high agricultural production intensity and a high overall biodiversity score, which highlights that these dimensions are not mutually exclusive. The low or moderate use intensity of mineral fertilisers, pesticides and purchased feedstuffs in combination with a high use efficiency of these inputs seems to be the key to reconciling agricultural production and biodiversity conservation

    Innovative agroecosystem goods and services: key profitability drivers in Swiss agroforestry

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    International audienceTrees that characterized many agricultural landscapes across Europe are declining, despite the recent revival of agroforestry research and increasing direct payments for their maintenance. Therefore, in addition to field experiments, there is a need for transdisciplinary research in close alliance with local farmers. This paper proposes a three-step participatory design and assessment approach, incorporating local innovation and scientific evidence. To our knowledge, this is the first participatory and bioeconomic analysis of farmer-designed agroforestry systems in Europe. First, an exploratory survey of farmers’ innovations in Switzerland was conducted together with a literature review. Based on the survey, 14 representative agroforestry practices were defined for the bioeconomic assessment, focusing on walnut (Juglans hybr.) and wild cherry (Prunus avium). The predictions of long-term yields were made with the Yield-SAFE model, and the profitability was assessed using the Farm-SAFE model. The survey results suggested a lack of local knowledge on key ecosystem services provided by agroforestry. It is therefore recommended to apply the concept of ecosystem services, in order to support the design of multifunctional agriculture and to increase the willingness to pay for its services. According to our yield predictions, mixing trees and crops was commonly more productive (12 out of the 14 options, land equivalent ratio = 0.95–1.30) than growing them in separate forestry or arable systems. This result contradicts the widespread view among modern Swiss farmers that agroforestry is unproductive. In terms of profitability, 68 % of the 56 financial scenarios for the agroforestry practices, particularly those linked to innovative marketing of fruit or receiving payments for ecosystem services, were found to be more profitable than the business as usual reference systems. These results demonstrate that there is a need and a value in bridging the gap between scientists and farmers, in order to coproduce applied knowledge for the design of productive agroforestry practices

    Local versus Global Environmental Performance of Dairying and Their Link to Economic Performance: A Case Study of Swiss Mountain Farms

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    Complying with the carrying capacity of local and global ecosystems is a prerequisite to ensure environmental sustainability. Based on the example of Swiss mountain dairy farms, the goal of our research was firstly to investigate the relationship between farm global and local environmental performance. Secondly, we aimed to analyse the relationship between farm environmental and economic performance. The analysis relied on a sample of 56 Swiss alpine dairy farms. For each farm, the cradle-to-farm-gate life cycle assessment was calculated, and the quantified environmental impacts were decomposed into their on- and off-farm parts. We measured global environmental performance as the digestible energy produced by the farm per unit of global environmental impact generated from cradle-to-farm-gate. We assessed local environmental performance by dividing farm-usable agricultural area by on-farm environmental impact generation. Farm economic performance was measured by work income per family work unit, return on equity and output/input ratio. Spearman’s correlation analysis revealed no significant relationship, trade-offs or synergies between global and local environmental performance indicators. Interestingly, trade-offs were observed far more frequently than synergies. Furthermore, we found synergies between global environmental and economic performance and mostly no significant relationship between local environmental and economic performance. The observed trade-offs between global and local environmental performance mean that, for several environmental issues, any improvement in global environmental performance will result in deterioration of local environmental performance and vice versa. This finding calls for systematic consideration of both dimensions when carrying out farm environmental performance assessments
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