000152158 001__ 152158
000152158 005__ 20180122225612.0
000152158 037__ $$a424-2016-27143
000152158 041__ $$aen_US
000152158 245__ $$aBroadacre farm productivity trajectories and farm characteristics
000152158 260__ $$c2013-02
000152158 269__ $$a2013-02
000152158 270__ $$mnazrul.islam@agric.wa.gov.au$$pIslam,   Nazrul
000152158 270__ $$mrkingwell@agric.wa.gov.au$$pKingwell,   Ross
000152158 270__ $$mvila.xayavong@agric.wa.gov.au$$pXayavong,   Vilaphonh
000152158 270__ $$mlucy.anderton@agric.wa.gov.au$$pAnderton,   Lucy
000152158 270__ $$mdavid.feldman@agric.wa.gov.au$$pFeldman,   David
000152158 270__ $$mjane@mcsp.com.au$$pSpeijers,   Jane
000152158 300__ $$a29
000152158 336__ $$aConference Paper/ Presentation
000152158 520__ $$aImproving farm productivity is often touted as essential for the future prospects of
Australian agriculture, particularly for the export-oriented broadacre farm sector.
This paper draws on farm panel data for the period 2002 to 2011. The annual
components of productivity of the same group of 223 farms are measured each
year for a decade by using a multiplicatively complete Färe-Primont index number
and applying DEA methods. Results often show pronounced variability in the
annual productivity of these farms. Farms are classed according to the geometric
mean of their total factor productivity and the variance of this productivity. The
convexity of this relationship suggests that to achieve high growth in productivity
in broadacre farming, farm businesses are exposed to greater volatility in
productivity. There are only a small proportion of farms that over the decade were
able to achieve high, stable growth in productivity. Most farms either experienced
high growth and high variability in productivity or low growth and low variability
in productivity. The characteristics of farm businesses in both categories are
examined to ascertain links between farm characteristics and change in farm
productivity. Key findings are that overall most farms experienced growth in their
total factor productivity with the principal cause of this growth being greater
technical efficiency rather than technical change. Farms that experienced the
highest growth in their total factor productivity typically increased their farm size,
became more crop dominant, often operated farms in lower rainfall regions,
generated more profit and were less exposed to debt and generated more crop
yield and more livestock income per millimetre (mm) of growing season rainfall.
000152158 542__ $$fLicense granted by Elizabeth Hilber (hilb0033@umn.edu) on 2013-07-08T15:24:42Z (GMT):

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000152158 650__ $$aAgribusiness
000152158 650__ $$aFarm Management
000152158 650__ $$aInternational Relations/Trade
000152158 650__ $$aProduction Economics
000152158 650__ $$aProductivity Analysis
000152158 6531_ $$aProductivity
000152158 6531_ $$aProfitability
000152158 6531_ $$aFarm characteristics
000152158 6531_ $$aVolatility
000152158 700__ $$aIslam, Nazrul
000152158 700__ $$aKingwell, Ross S.
000152158 700__ $$aXayavong, Vilaphonh
000152158 700__ $$aAnderton, Lucy
000152158 700__ $$aFeldman, David
000152158 700__ $$aSpeijers, Jane
000152158 773__ $$d2013
000152158 8564_ $$s1299742$$uhttp://ageconsearch.umn.edu/record/152158/files/CP%20Islam.pdf
000152158 887__ $$ahttp://purl.umn.edu/152158
000152158 909CO $$ooai:ageconsearch.umn.edu:152158$$pGLOBAL_SET
000152158 912__ $$nSubmitted by Elizabeth Hilber (hilb0033@umn.edu) on 2013-07-08T15:28:27Z
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  Previous issue date: 2013-02
000152158 982__ $$gAustralian Agricultural and Resource Economics Society>2013 Conference (57th), February 5-8, 2013, Sydney, Australia
000152158 980__ $$a424