Modelling and Mapping Agricultural Output Values Using Farm Specific Details and Environmental Databases
Identifieur interne : 000D81 ( Istex/Corpus ); précédent : 000D80; suivant : 000D82Modelling and Mapping Agricultural Output Values Using Farm Specific Details and Environmental Databases
Auteurs : Ian J. Bateman ; Christine Ennew ; Andrew A. Lovett ; Anthony J. RaynerSource :
- Journal of Agricultural Economics [ 0021-857X ] ; 1999-09.
Abstract
Ongoing concerns regarding the economic losses associated with the CAP and the negative environmental impacts of present land use have led to calls for land use change and consequent efforts to identify areas which are, from both a financial and social perspective, most appropriate for such conversion. This paper develops and applies an output value modelling methodology in which site‐specific biophysical factors are combined with farm level data in order to predict input usage and, subsequently, farm profit. The spatial analytic capabilities of a geographical information system (GIS) are used to combine the variety of data employed to permit analysis of a large study area (the entirety of Wales) and yield models of both the market and shadow value of output from the two principal agricultural sectors of the area: dairying and sheep farming. The GIS is then used to produce readily interpretable maps of these values across the study area. The resulting maps are highly compatible both with value maps of alternative land uses given in the recent literature and with approaches to policy formulation currently under development by a range of UK agencies. Such maps may be used to assist estimation of the extent and location of farming response to land use policy change.
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DOI: 10.1111/j.1477-9552.1999.tb00895.x
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This paper develops and applies an output value modelling methodology in which site‐specific biophysical factors are combined with farm level data in order to predict input usage and, subsequently, farm profit. The spatial analytic capabilities of a geographical information system (GIS) are used to combine the variety of data employed to permit analysis of a large study area (the entirety of Wales) and yield models of both the market and shadow value of output from the two principal agricultural sectors of the area: dairying and sheep farming. The GIS is then used to produce readily interpretable maps of these values across the study area. The resulting maps are highly compatible both with value maps of alternative land uses given in the recent literature and with approaches to policy formulation currently under development by a range of UK agencies. Such maps may be used to assist estimation of the extent and location of farming response to land use policy change.</p></abstract></abstractGroup></contentMeta><noteGroup><note xml:id="fn1"><label>1</label><p>Ian Bateman and Andrew Lovett are at the School of Environmental Sciences, University of East Anglia, Norwich and at the Centre for Social and Economic Research on the Global Environment (CSERGE), University of East Anglia and University College London; Christine Ennew is at the School of Management and Finance, University of Nottingham and Anthony Rayner is at the Department of Economics, University of Nottingham. The authors are grateful to the Farm Business Survey of Wales (in particular to Nigel Chapman, Tim Jenkins and the surveyors at FBSW, Aberystwyth), the Social Survey and Land Research Centre (in particular to Ian Bradley and Arthur Thomasson) and to the Forestry Commission (in particular Chris Quine at the FC Northern Research Station, Roslin) for provision of and advice concerning the data used in this analysis. We are also grateful to all those who discussed the work underpinning this paper and for the comments of two anonymous referees. 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