Abstract
The objective of the paper is to demonstrate a methodology to establish data for analysing the geographical patterns in the economic performance of farms. The methodology combines population-based agricultural register data on physical activity levels with sample-based farm economic accounts data. Using a least-squares approach, the method estimates economic figures for each farm in the population conditional on farm size, land allocation and number of different types of livestock. The method is used for describing the spatial patterns in economic returns to agriculture, using Denmark as an illustrative example. Furthermore, the paper identifies some geographical patterns in some of the likely upcoming challenges for agriculture, based on the established dataset.
Originalsprog | Engelsk |
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Tidsskrift | Geografisk Tidsskrift/Danish Journal of Geography |
Vol/bind | 113 |
Udgave nummer | 1 |
Sider (fra-til) | 39-52 |
Antal sider | 14 |
ISSN | 0016-7223 |
DOI | |
Status | Udgivet - 2013 |
Bibliografisk note
Published online 24 May 2013Emneord
- Det tidligere LIFE
- GIS-data
- farm economic account data
- rural development
- spatial microsimulation