EconPapers    
Economics at your fingertips  
 

Modelling the Spatial Distributional Agricultural Incomes

Cathal O'Donoghue (), Eoin Grealis and Niall Farrell

No 212654, 150th Seminar, October 22-23, 2015, Edinburgh, Scotland from European Association of Agricultural Economists

Abstract: Agricultural incomes are quite heterogeneous relying as they are in part on the environmental context which land is farmed. In addition a very significant proportion of agricultural income results from public policy via the Farm Direct Payments within in the Common Agricultural Policy. In this paper we develop and test a methodology to spatially model the distribution of Agricultural Activity and associated income across place utilising a spatial microsimulation model. In particular we build upon a quota sampling method used in the development household based spatial microsimulation models to account for spatial heterogeneity in relation to stocking rate. We utilise this framework to model the spatial distribution of activity, incomes and viability across Ireland.

Keywords: Agricultural; and; Food; Policy (search for similar items in EconPapers)
Date: 2015
New Economics Papers: this item is included in nep-agr
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2) Track citations by RSS feed

Downloads: (external link)
https://ageconsearch.umn.edu/record/212654/files/M ... ltural%20Incomes.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ags:eaa150:212654

DOI: 10.22004/ag.econ.212654

Access Statistics for this paper

More papers in 150th Seminar, October 22-23, 2015, Edinburgh, Scotland from European Association of Agricultural Economists Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().

 
Page updated 2021-03-28
Handle: RePEc:ags:eaa150:212654