Spatial model of dairy farm management, nutrient runoff and greenhouse gas emissions: Private and social optima

S. Lotjonen, E. Temmes and M. Ollikainen

No 277111, 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia from International Association of Agricultural Economists

Abstract: We provide a comprehensive theoretical analysis of private and social optimum in dairy production when society accounts for greenhouse gas emissions and nutrient runoff to waterways. The private farmer maximizes revenue from milk production by choosing herd size, diet, fertilization and land allocation between crops. Changes in the diet impact milk production, manure composition, and land allocation between crops. A critical radius emerges for the choices of crops and fertilizer type (mineral and manure); it is independent of the chosen crops in the private optimum but not in the social optimum. Fertilizer intensity is higher in the manure fertilized fields than in the fields where mineral fertilizer is used. Moreover, manure application rate decreases in distance to the farm centre. In contrast to what has generally been thought, the socially optimal fertilizer application follows the same spatial pattern than the private fertilization but at a lower level of intensity. A simulation model applied to the Finnish agriculture is used to further examine the features of the model. Acknowledgement : The work presented is part of the BONUS GO4BALTIC project: . The BONUS GO4BALTIC project is supported by BONUS (Art 185), funded jointly by the EU and national funding institutions in Denmark (the Innovation Fund), Estonia (Estonian Research Council ETAG ), Finland (Academy of Finland), Poland (NCBR) and Sweden (FORMAS). The work has also received funding from Stockholm University Baltic Sea Center project Baltic Eye.

Keywords: Livestock; Production/Industries (search for similar items in EconPapers)
Date: 2018-07
New Economics Papers: this item is included in nep-agr and nep-env
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Persistent link: https://EconPapers.repec.org/RePEc:ags:iaae18:277111

DOI: 10.22004/ag.econ.277111

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