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Farm level environmental indicators; are they useful?: An overview of green accounting systems for European farms
Institution:1. Department of Chemical Engineering, Monash University, Melbourne, VIC 3800, Australia;2. Integrated Engineering, Department of Environmental Science and Engineering, College of Engineering, Kyung Hee University, 1732 Deogyeong-daero, Giheung-gu, Yongin-Si, Gyeonggi-do 17104, Republic of Korea;3. Biomass Waste-to-Wealth Special Interest Group, Research Centre for Sustainable Technologies, Faculty of Engineering, Computing, and Science, Swinburne University of Technology Sarawak, Jalan Simpang Tiga, 93350, Kuching, Sarawak, Malaysia;1. LAE, Université de Lorraine, INRA, 54500, Vandoeuvre, France;2. Chambre Régionale d''Agriculture Grand Est, Pôle Recherche Développement et Innovations, France;3. Arvalis - Institut du Végétal, France;4. IRSTEA, UR Aquatic Ecosystems, Ecology and Pollution Lyon, France;5. In Vivo AgroSolutions, France;6. Association pour la Relance Agronomique en Alsace, France;7. Independent Researcher, France;8. LAE, INRA, Université de Lorraine, 68000 Colmar, France
Abstract:Green accounts or input–output accounting systems (IOA) have been developed in countries with intensive agricultural production to facilitate voluntary improvements in farm environmental performance. There is a need for an overview of indicators used and a review of results and experiences reported. Ten IOA systems covering the topics of the farm’s use of nutrients, pesticides and energy were selected from a survey of 55 systems and compared in this paper. The approaches and indicators used vary from systems based on good agricultural practices (GAP) to accounts based systems that use physical input–output units. Many IOA systems use farm gate nutrient balances, pesticide use per hectare and energy use per kilogram product. These indicators are easy to calculate but the resulting value needs separate interpretation for the farmer. Other systems include modeled emissions and rate the yearly farm results using closed scales, which allows for easy interpretation but builds on implicit normative assumptions of best practices. Participating farmers were most often reported to be motivated for the use of IOA but empirical evidence of improved environmental farm performance was scarce. IOA systems should be linked with production planning tools used by the advisory services. Farmers and advisors needs better reference values to evaluate the indicator levels (environmental performance) on the individual farm possibly based on analysis of a larger number of farms. The statistical properties of IOA indicators need to be researched regarding: (1) the relation between changed management practice and changes in indicator values on a given farm over a period of time; (2) the relative importance of systematic versus coincidental differences in environmental performance of a set of farms. It is concluded that IOA systems could become effective tools for agri-environmental improvement of European farms given further development and standardization.
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