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  5. The Field: Land mobility measures as seen through the eyes of Irish farmers
 
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The Field: Land mobility measures as seen through the eyes of Irish farmers

Author(s)
Banovic, Marija  
Duesberg, Stefanie  
Renwick, Alan  
Keane, Mark T.  
Bogue, Pat  
Uri
http://hdl.handle.net/10197/6730
Date Issued
2015-04-15
Date Available
2015-08-05T16:38:16Z
Abstract
Irelands agriculture is characterised by an ageing farmer population and small average farm sizes. Past policy schemes developed to address these issues have been targeted at accelerating succession and retirement processes in agriculture. Their success however was limited. The process of succession, inheritance and retirement is complex and the decision-making of farm families in these situations is influenced by many factors. In order to develop more successful policies to encourage the early transfer of land and to increase farm sizes a better understanding of these factors is necessary. The paper addresses this question by employing a Neural Network Analysis with data collected through a survey of Irish farmers perception on succession and land mobility measures in 2012. The analysis shows that while many farmers in general are in favour of various land mobility measures, they would not consider taking advantage of any of them, which in part could be explained by a large number of farmers being unwilling to totally retire from farming.
Other Sponsorship
DAFM funded Stimulus project AgLandMarket
Type of Material
Conference Publication
Copyright (Published Version)
2015 the authors
Subjects

Media analytics

Farming

Succession

Retirement

Land transfer

Land mobility

DOI
10.1111/1477-9552.12125
Web versions
http://www.aes.ac.uk/page.asp?ID=3
Language
English
Status of Item
Peer reviewed
Conference Details
The Agricultural Economics Society's 89th Annual Conference, University of Warwick, United Kingdom, 13-15 April 2015
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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insight_publication.pdf

Size

1.13 MB

Format

Adobe PDF

Checksum (MD5)

b3c4783b26117d59f29ed62e2387dc12

Owning collection
Insight Research Collection
Mapped collections
Agriculture and Food Science Research Collection•
Computer Science Research Collection•
Earth Institute Research Collection•
Institute of Food and Health Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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