Local versus Global Environmental Performance of Dairying and Their Link to Economic Performance: A Case Study of Swiss Mountain Farms
Nina Repar,
Pierrick Jan,
Thomas Nemecek,
Dunja Dux,
Martina Alig Ceesay and
Reiner Doluschitz
Additional contact information
Nina Repar: Farm Economics Research Group, Agroscope, Institute for Sustainability Sciences ISS, Tänikon 1, Ettenhausen 8356, Switzerland
Pierrick Jan: Farm Economics Research Group, Agroscope, Institute for Sustainability Sciences ISS, Tänikon 1, Ettenhausen 8356, Switzerland
Thomas Nemecek: Life Cycle Assessment Research Group, Agroscope, Institute for Sustainability Sciences ISS, Reckenholzstrasse 191, Zurich 8046, Switzerland
Dunja Dux: Farm Economics Research Group, Agroscope, Institute for Sustainability Sciences ISS, Tänikon 1, Ettenhausen 8356, Switzerland
Martina Alig Ceesay: Life Cycle Assessment Research Group, Agroscope, Institute for Sustainability Sciences ISS, Reckenholzstrasse 191, Zurich 8046, Switzerland
Reiner Doluschitz: Computer Applications and Business Management in Agriculture, Institute of Farm Management, University of Hohenheim, Schloß, Osthof-Süd, Stuttgart 70593, Germany
Sustainability, 2016, vol. 8, issue 12, 1-19
Abstract:
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.
Keywords: sustainable agriculture; environmental sustainability; farm local environmental performance; farm global environmental performance; farm economic performance; life cycle assessment (LCA) (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.mdpi.com/2071-1050/8/12/1294/pdf (application/pdf)
https://www.mdpi.com/2071-1050/8/12/1294/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:8:y:2016:i:12:p:1294-:d:84868
Access Statistics for this article
Sustainability is currently edited by Ms. Alexandra Wu
More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().