000100563 001__ 100563
000100563 005__ 20210819132608.0
000100563 0247_ $$2doi$$a10.22004/ag.econ.100563
000100563 037__ $$a422-2016-26937
000100563 041__ $$aeng
000100563 245__ $$aProductivity pathways: climate-adjusted production frontiers for the Australian broadacre cropping industry
000100563 260__ $$c2011
000100563 269__ $$a2011
000100563 300__ $$a33
000100563 336__ $$aConference Paper/ Presentation
000100563 520__ $$aThis study introduces two advances to the aggregate productivity index methodology typically employed by ABARES. First, it accounts for the effects of climate variability on measured productivity by matching spatial climate data to individual farms in the ABARES farm surveys database. Second, a farm-level production frontier estimation technique is employed to facilitate the decomposition of productivity change into several key components, including technical change and technical efficiency change. The study makes use of farm-level data from the ABARES Australian agricultural and grazing industries survey database. An unbalanced panel dataset is constructed containing 13 430 observations (4255 farms) over the period 1977–78 to 2007–08. Spatial climate data, including winter and summer seasonal rainfall and average maximum and minimum temperatures, were obtained via the Australian Water Availability Project. These data were mapped to individual farms using Geographic Information System methods. The study employed stochastic frontier analysis methods to estimate a production frontier with time varying technical efficiency effects of the form proposed by Battese and Coelli (1992). Production frontiers are estimated for each of the three major Grains Research and Development Corporation regions: southern, northern and western. Selected climate variables are shown to display a high degree of explanatory power over farm output. The results confirm that deterioration in average climate conditions has contributed significantly to the decline in estimated productivity over the post-2000 period. Technical change is shown to be the primary driver of productivity growth in the industry in the long run, offset by a gradual decline in technical efficiency. After controlling for climate variability, a gradual decline in the rate of technical change is still observed.
000100563 546__ $$aEnglish
000100563 650__ $$aProductivity Analysis
000100563 700__ $$aHughes, Neal
000100563 700__ $$aLawson, Kenton
000100563 700__ $$aDavidson, Alistair
000100563 700__ $$aJackson, Tom
000100563 700__ $$aSheng, Yu
000100563 8564_ $$91cc855af-7196-4c51-b9be-b9866c04f166$$s3328250$$uhttps://ageconsearch.umn.edu/record/100563/files/Hughes%202.pdf
000100563 887__ $$ahttp://purl.umn.edu/100563
000100563 909CO $$ooai:ageconsearch.umn.edu:100563$$pGLOBAL_SET
000100563 912__ $$nSubmitted by Megan Watmuff (megan@aomevents.com) on 2011-02-22T02:25:43Z
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  Previous issue date: 2011
000100563 913__ $$aLicense granted by Megan Watmuff (megan@aomevents.com) on 2011-02-22T02:18:41Z (GMT):

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000100563 980__ $$a422
000100563 982__ $$gAustralian Agricultural and Resource Economics Society>2011 Conference (55th), February 8-11, 2011, Melbourne, Australia