Environmental indicators and agricultural policy by Floor Brouwer, Bob Crabtree

By Floor Brouwer, Bob Crabtree

The publication includes edited and revised models of sixteen chosen papers provided on the workshop 'Towards operationalization of the results of CAP on surroundings, panorama and nature: exploration of indicator wishes' held in Wageningen in April 1997. It studies, from a ecu point of view, the theoretical improvement and use of symptoms within the evaluation of the environmental influence of agricultural coverage at the actual atmosphere, panorama and biodiversity; and using environmental signs for pollutants and coverage research. on hand In Print

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Assume policy-makers’ preference for indicators can be explained as a trade-off between ‘quality’ and costs, such that an increase in ‘quality’ can be offset by an increase in costs at a decreasing rate. This implies diminishing marginal utility for ‘quality’, which is consistent with standard assumptions in cardinal utility theory. In a ‘quality’–cost indifference diagram this suggests sloping curves from the origin or from the quality axis to the north-east, as shown in Fig. 4 The two indifference mappings, Uiq and Uic, denote preferences with relatively more weight put on ‘quality’ and cost aspects, respectively, while the bubbles marked (a–d) denote four discretely different indicators.

Eds) Decisions and Organizations. North-Holland, Amsterdam, pp. 297–-336. J. and Rotschild, M. (1987) Risk. , Milgate, M. and Newman, P. (eds) The New Palgrave: A Dictionary on Economics. Macmillan Press, London, pp. 201–206. T. (1989) Using Surveys to Value Public Goods, The Contingent Valuation Method. Resources for the Future, Washington DC. B. (1990) Economic indicators of resource scarcity: a critical resource. Journal of Environmental Economics and Management 19, 19–25. Romstad, E. (1997) Team Approaches in Reducing Nonpoint Source Pollution.

1997b). 2. Farm-gate nutrient balances, another low-cost indicator. , 1997a). 3. Individual farm (field) nutrient leakages. It is generally technically difficult and costly to monitor leakages from individual farms or farm fields (Braden and Segerson, 1993). As an indicator, individual farm (field) leakages therefore implies that less information will be gathered compared to a lower-cost indicator with the same informational benefits. Its use as an indicator is therefore likely to be limited.

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