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Ecosystem Health and Sustainable Agriculture

Editor: Christine Jakobsson

Sustainable Agriculture

CSD Uppsala.Centre for sustainable development

1

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Reducing Nutrient Losses from Agriculture

120

Efficiency is a relative measure of performance between farms or within the same farm over time. Considering all elements of production, the measure refers to technical efficiency. It is important to distinguish between produc- tivity and efficiency, since if a farm is productive then it is also technically efficient but not necessarily economi- cally efficient, as this depends on prices. To be efficient the farm does not need to be at maximum production, since the intensity and scale of the business also plays an important role. In an environmental sense, productivity and input-specific efficiency are both crucial measures.

From a nutrient point of view farms should have as high productivity as possible. It is also important to realise that high productivity is not equivalent to high intensity.

Although this all sounds confusing, the elements can be clarified in a diagram (Figure 14.1).

The system boundary is the extreme observation.

Typically the boundary is determined by parametric or non- parametric econometric methods such as stochastic bound- ary or data envelopment analysis. The relative efficiency value of the observations can vary between one and zero, with one indicating technical efficiency (TE) or simply that the observation is on the boundary. Low TE values indicate that the relationship between outputs and inputs is worse than on other farms or in other years, indicating either too high inputs or too low outputs. Moving vertically in the diagram gives increasing technical efficiency and moving

horizontally gives increasing input-specific efficiency, or environmental efficiency as it is also called.

When it comes to actually measuring efficiency and productivity, we often have to rely on farm accountancy data or experimental data. The benefit of farm accountan- cy data is that the economic activities are all handled sim- ilarly. However production possibilities, e.g. soil types, are not distinguished from management. The benefit of experimental data is that it eliminates the management component, as well as including a range of intensities for the same type of production.

Frontier

Max productivity Observation

Input Output

Figure 14.1. Relation between productivity and efficiency (Coelli et al., 1999).

Reduced Input

of Nutrients on Farms

Stefan Bäckman

University of Helsinki, Finland.

14

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Reducing Nutrient Losses from Agriculture

121 Nutrient management is important for productivity,

since appropriate fertilisation of crops increases output considerably. The use of crop protection chemicals also increases the uptake of nutrients that will end up as out- puts. Clearly the maximum biological output is not the same as the highest productivity. In most cases the inten- sity of nutrient use has the following sequence: the bio- logical maximum requires the highest amounts of inputs, then follows the economically efficient production level, which is dependent on prices and is close to the economic optimum and thereafter the level of input that is at the most productive level. Reducing inputs even further de- creases output even more and therefore productivity. The environmental efficiency or the input specific efficiency might be anywhere on the boundary but on average is probably close to the most productive output level.

In a study by Bäckman (2008), livestock density was shown to increase technical efficiency using results based on aggregation of products with 2004 prices (Increased cereal prices in relation to intermediates could change this interdependency since the competitiveness of self- sufficient farms would increase). However, this increased efficiency is associated with an increase in nutrient man- agement problems. Having high livestock units per hec- tare (LU/ha) creates a need to export fertilisers (manure) from farms. In cases with regionally intensive livestock production there is a need to process organic fertilisers.

In Sweden, for example, there is a LU/ha density upper limit, while in organic farming there is an indirect live- stock density restriction in that only a certain degree of feed is allowed to be imported to livestock production on the farm.

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References

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Chapter 13

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Žemdirbystė: mokslo darbai/Agriculture: Scientific articles. LIA, LUA. Akademija: 87 (3), pp 12-29 (in Lithuanian with summary in English).

Mažvila, J., Vaišvila, Z., Arbačiauskas J., Adomaitis, T. and Antanaitis, A. 2007. Dependence of agricultural crop yield and its quality on long-term fertilization on sandy loam soils. In: Zemdirbyste/

Agriculture. LIA, LUA. Kedainiu r., Akademija, 94 (3), pp 3-17 (in Lithuanian with summary in English).

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Chapter 14

Bäckman, S. 2008. Intensity, productivity and efficiency in agriculture in Finland and implications for N and P fertiliser management.

University of Helsinki. Department of Economics and Management, Publications 45, Agriculture Economics.

Coelli, T., Prasada Rao, D.S. and Battese, G.E. 1999. An Introduction to Efficiency and Productivity Analysis. Kluwer Academic Publishers.

p.275.

Chapter 15

Claesson, S. and Steineck, S. 1996. Plant nutrient management and the environment. Swedish University of Agricultural Sciences, SLU, Special Report 41, Uppsala, 69+24 pp.

Jakobsson C. and Lindén B. 1991. Nitrogen effects of manure on clay soils. Swedish University of agricultural Sciences, Dept. of Soil Sciences, Div. of Soil Fertility, Report 190, 41 pp.

Chapter 16

Claesson, S. and Steineck, S. 1996. Plant nutrient management and the environment. Swedish University of Agricultural Sciences, SLU, Special Report 41, Uppsala, 69+24 pp.

Integrated pollution prevention and control (IPPC). Reference docu- ment on best available techniques for intensive rearing of poultry and pigs. (BREF). European Commission. http://www.epa.ie/down- loads/advice/brefs/name,14520,en.html (Retrieved 2010-07-30) Jakobsson C. and Lindén B. 1991. Nitrogen effects of manure on clay

soils. Swedish University of agricultural Sciences, Dept. of Soil Sciences, Div. of Soil Fertility, Report 190, 41 pp.

Chapter 17

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1998. Quantitative risk assessment of human listeriosis from con- sumption of soft cheese made from raw milk. In: Prev. Vet. Med.

37, 129-145.

Bennet, D.D., Higgins, S.E., Moore, RW, Beltran, R, Caldwell, DJ, Byrd, J.A. and Hargis, B.M. 2003. Effects of lime on Salmonella enteritidis survival in vitro. In: J. Appl. Poult. Res. 12, 65-68.

Cassin, M.H., Lammerding, A.M., Todd, E.C.D., Ross, W. and McColl, R.S. 1998. Quantitative risk assessment for Escherichia coli O157:H7 in ground beef hamburgers. In: Int. J. Food Microbiol. 41, 21-44.

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References

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