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

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Standard

Farm profitability and structural challenges : geographical patterns in the Danish agricultural economy. / Jensen, Jørgen Dejgård; Kristensen, Inge Toft.

I: Geografisk Tidsskrift/Danish Journal of Geography, Bind 113, Nr. 1, 2013, s. 39-52.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Jensen, JD & Kristensen, IT 2013, 'Farm profitability and structural challenges: geographical patterns in the Danish agricultural economy', Geografisk Tidsskrift/Danish Journal of Geography, bind 113, nr. 1, s. 39-52. https://doi.org/10.1080/00167223.2013.778549

APA

Jensen, J. D., & Kristensen, I. T. (2013). Farm profitability and structural challenges: geographical patterns in the Danish agricultural economy. Geografisk Tidsskrift/Danish Journal of Geography, 113(1), 39-52. https://doi.org/10.1080/00167223.2013.778549

Vancouver

Jensen JD, Kristensen IT. Farm profitability and structural challenges: geographical patterns in the Danish agricultural economy. Geografisk Tidsskrift/Danish Journal of Geography. 2013;113(1):39-52. https://doi.org/10.1080/00167223.2013.778549

Author

Jensen, Jørgen Dejgård ; Kristensen, Inge Toft. / Farm profitability and structural challenges : geographical patterns in the Danish agricultural economy. I: Geografisk Tidsskrift/Danish Journal of Geography. 2013 ; Bind 113, Nr. 1. s. 39-52.

Bibtex

@article{3e361f073b3a4f6297c101285400bdd8,
title = "Farm profitability and structural challenges: geographical patterns in the Danish agricultural economy",
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.",
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",
language = "English",
volume = "113",
pages = "39--52",
journal = "Geografisk Tidsskrift",
issn = "0016-7223",
publisher = "Routledge",
number = "1",

}

RIS

TY - JOUR

T1 - Farm profitability and structural challenges

T2 - geographical patterns in the Danish agricultural economy

AU - Jensen, Jørgen Dejgård

AU - Kristensen, Inge Toft

N1 - Published online 24 May 2013

PY - 2013

Y1 - 2013

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. Furthermore, the paper identifies some geographical patterns in some of the likely upcoming challenges for agriculture, based on the established dataset.

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. Furthermore, the paper identifies some geographical patterns in some of the likely upcoming challenges for agriculture, based on the established dataset.

KW - Former LIFE faculty

KW - GIS-data

KW - farm economic account data

KW - rural development

KW - spatial microsimulation

U2 - 10.1080/00167223.2013.778549

DO - 10.1080/00167223.2013.778549

M3 - Journal article

VL - 113

SP - 39

EP - 52

JO - Geografisk Tidsskrift

JF - Geografisk Tidsskrift

SN - 0016-7223

IS - 1

ER -

ID: 45827721