Living conditions and subjective well-being of farmers - An ordered response analysis of regional differences and changes over time

Hild-Marte Bjørnsen ()

ERSA conference papers from European Regional Science Association

Abstract: The liberalisation of trade with building down of tariffs and quotas, and with subsequently lower output prices, has enforced considerable structural changes in the agricultural sector. In Norway, both naturally given factors such as climate and topography, and social conditions such as a tradition for small family farms and strong governmental regulations, contribute in making this process even harder on the individual farmer. So how do the farmers respond? National farm statistics show that the amount of cultivated land stays approximately the same even though the number of farm units and agricultural employment falls annually. This implies that both farm size and productivity have increased. In this paper we utilise sample survey data on living conditions in agricultural households to examine whether we can observe changes in farmers Â’experienced utility. Have contentment dropped and are there any obvious regional differences in contentment? The data consists of non-overlapping cross-sections for the years 1995 and 2002 and we make use of a standard ordered probability model in the estimations.

Date: 2005-08
New Economics Papers: this item is included in nep-agr and nep-geo
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www-sre.wu.ac.at/ersa/ersaconfs/ersa05/papers/95.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:wiw:wiwrsa:ersa05p95

Access Statistics for this paper

More papers in ERSA conference papers from European Regional Science Association Welthandelsplatz 1, 1020 Vienna, Austria.
Bibliographic data for series maintained by Gunther Maier ().