Farm profitability and structural challenges: geographical patterns in the Danish agricultural economy

Jørgen Dejgård Jensen; Inge Toft Kristensen

doi:10.1080/00167223.2013.778549

Farm profitability and structural challenges: geographical patterns in the Danish agricultural economy

Jørgen Dejgård Jensen, Inge Toft Kristensen

Sektion for Forbrug, Bioetik og Regulering

1 Citationer (Scopus)

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
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	https://doi.org/10.1080/00167223.2013.778549
Status	Udgivet - 2013

Emneord

Det tidligere LIFE
GIS-data
farm economic account data
rural development
spatial microsimulation

Adgang til dokumentet

10.1080/00167223.2013.778549

Citationsformater

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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. Economic contribution/hectare is relatively stronger in western parts of the country. This is associated with high livestock density in these areas, but the high livestock density also poses future economic challenges to farms in these areas to a higher extent than in the rest of Denmark.",

keywords = "Former LIFE faculty, GIS-data, farm economic account data, rural development, spatial microsimulation",

author = "Jensen, {J{\o}rgen Dejg{\aa}rd} and Kristensen, {Inge Toft}",

note = "Published online 24 May 2013",

year = "2013",

doi = "10.1080/00167223.2013.778549",

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PY - 2013

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N2 - 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. Economic contribution/hectare is relatively stronger in western parts of the country. This is associated with high livestock density in these areas, but the high livestock density also poses future economic challenges to farms in these areas to a higher extent than in the rest of Denmark.

AB - 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. Economic contribution/hectare is relatively stronger in western parts of the country. This is associated with high livestock density in these areas, but the high livestock density also poses future economic challenges to farms in these areas to a higher extent than in the rest of Denmark.

KW - Former LIFE faculty

KW - GIS-data

KW - farm economic account data

KW - rural development

KW - spatial microsimulation

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DO - 10.1080/00167223.2013.778549

M3 - Journal article

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JO - Geografisk Tidsskrift

JF - Geografisk Tidsskrift

IS - 1

ER -

Farm profitability and structural challenges: geographical patterns in the Danish agricultural economy

Abstract

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