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
APA
Vancouver
Author
Bibtex
}
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