Do price premiums for wool characteristics vary for different end products, processing routes and fibre diameter categories?David Cottle A C and Euan Fleming B
A School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia.
B School of Business, Economics and Public Policy, University of New England, Armidale, NSW 2351, Australia.
C Corresponding author. Email: email@example.com
Animal Production Science 56(12) 2146-2160 https://doi.org/10.1071/AN14744
Submitted: 6 August 2014 Accepted: 30 July 2015 Published: 4 September 2015
No Australian wool price hedonic studies have separated auction data into different end product-processing groups (PPR) on the basis of all fibre attributes that affect the suitability of wool sale lots for PPR. This study was conducted to assess: (1) whether including information about PPR groupings is more useful in understanding price than clustering by broad fibre diameter (FD) categories, and (2) if the ‘noise’ of macroeconomic effects on price can be reduced by using a clean price relative to the market indicator (RelPrice) formula or a log RelPrice formula compared with log price or clean price. Hedonic models using data derived from 369 918 Australian auction sale lots in 2010–2011 were estimated for these four dependent price variables. Linear FD models predicted less of price’s variance than quadratic or exponential models. Segmenting wool sale lots into 10 PPR before wool price analyses was found to increase the proportion of price variance explained and thus be worthwhile. The change in price with a change in FD, staple length and staple strength differs significantly between PPR. Calculating RelPrice or log RelPrice appears a better price parameter than clean price or log price. Comparing the RelPrice and clean price models, the mean absolute percentage errors were 6.3% and 16.2%, respectively. The differences in price sensitivity to FD, staple length and staple strength across PPR implies a complex set of price-setting mechanisms for wool as different users place different values on these wool properties. These price-setting mechanisms need to be incorporated in hedonic models for agricultural products that possess this characteristic. The wool price premiums can be used to estimate relative economic values when constructing sheep breeding selection indexes and can help determine the most profitable wool clip preparation strategies.
Additional keywords: hedonic models, value chain, wool sales.
ReferencesAngel C, Beare S, Zwart AC (1990) Product characteristics and arbitrage in the Australian and New Zealand wool markets. Australian Journal of Agricultural Economics 34, 67–79.
| Product characteristics and arbitrage in the Australian and New Zealand wool markets.CrossRef |
Aryal J, Kulasiri D, Carnaby GA, Samarsinghe S (2009) Investigating the price of the New Zealand wool clip using modelling approaches. In ‘18th world IMACS congress and MODSIM09 international congress on modelling and simulation’, July 2009. (Eds RS Anderssen, RD Braddock, LTH Newham) pp. 727–733. (Modelling and Simulation Society of Australia and New Zealand and International Association for Mathematics and Computers in Simulation: Cairns)
Atkins KD, Semple S (2003) Using fibre measurements for clip preparation and selection in commercial Merino flocks. Wool Technology and Sheep Breeding 51, 127–129.
AWEX (2010) The Australian wool market: an introduction for prospective participants. Available at http://www.awex.com.au/publication/the-wool-market-an-introduction/ [Verified 6 August 2014]
AWEX (2012) AWEX eastern market indicator. Available at http://www.awex.com.au/market-information/awex-wool-market-indicators/ [Verified 6 August 2014]
AWEX (2014) AWEX micron price guide. Available at http://www.awex.com.au/media/1153/awex-micron-price-guides.pdf [Verified 6 August 2014]
AWI (2014) Wool Selling Systems Review (WSSR): review panel issues paper. Available at http://www.wool.com/globalassets/start/about-awi/how-we-consult/wool-selling-systems-review/woolsellingsystemreview_issuespaper.pdf [Verified 11 March 2015]
AWI (2015) Woolcheque. Available at http://www.wool.com/woolgrower-tools/woolcheque [Verified 23 June 2015]
Bramma K, Curran B, Gilmour B (1985) Non-linearity and market segmentation in hedonic price analysis of greasy wool. ABARE paper presented at the 29th annual conference of the Australian Agricultural Economics Society, Armidale, 13–14 February.
Caccetta L, Chow C, Dixon T, Stanton J (2005) Modelling the structure of Australian wool auction prices. In ‘MODSIM 2005 international congress on modelling and simulation’, December 2005. pp. 1737–1743. (Modelling and Simulation Society of Australia and New Zealand: Melbourne)
Charlton D, David HG (1987) The myth of the fine line. Wool Technology and Sheep Breeding 35, 131–141.
Cheng YW, Stanton J, Caccetta L (2004) Predicting the Australian wool auction price by tree-based regression. In ‘Proceedings of the industrial optimisation symposium, Curtin University of Technology, Perth’.
Chow CN (2010) Modelling the structure of Australian wool auction prices. PhD Thesis, Department of Mathematics and Statistics, Curtin University, Perth.
Cottle DJ (1990) The derivation of economic values in breeding programs for Australian merino sheep with changing wool prices and flock production averages. Australian Journal of Agricultural Research 41, 769–780.
| The derivation of economic values in breeding programs for Australian merino sheep with changing wool prices and flock production averages.CrossRef |
Cottle DJ (1994a) Wool prices and sheep breeding objectives – A historical perspective. Australian Journal of Agricultural Research 45, 1671–1681.
| Wool prices and sheep breeding objectives – A historical perspective.CrossRef |
Cottle DJ (1994b) Effects of clip preparation practices on lot size and raw wool characteristics of growers lines. Wool Technology and Sheep Breeding 42, 193–211.
Cottle DJ (1998) How does a woolgrower interpret wool price signals? In ‘Textile Institute 26th annual conference’. pp. 43–59.
Cottle DJ (2010) Wool preparation, testing and marketing. In ‘International sheep and wool handbook’. (Ed. DJ Cottle) pp. 581–618. (Australian Wool Innovation: Sydney)
Cottle DJ, Zhao W (1995) Changes in wool colour Part 1: incubation of wool to promote a stable wool colour. Journal of the Textile Institute 86, 136–147.
| Changes in wool colour Part 1: incubation of wool to promote a stable wool colour.CrossRef | 1:CAS:528:DyaK2MXmtFKht7g%3D&md5=dbfce07b9d6f30b1c559c1310da17f30CAS |
Dekkers JCM, Birke PV, Gibson JP (1995) Optimum linear selection indexes for multiple generation objectives with non-linear profit functions. Animal Science 61, 165–175.
| Optimum linear selection indexes for multiple generation objectives with non-linear profit functions.CrossRef |
Gibbon C, Nolan E (2011) The Australian wool industry: a hedonic pricing analysis of the factors affecting price of Australian wool. Contributed paper presented at the 55th annual conference of the Australian Agricultural and Resource Economics Society, Melbourne, 9–11 February, 2011.
Gleeson T, Lubulwa M, Beare S (1993) Price premiums for staple measurement of wool. ABARE Research Report 93.4, Canberra.
Goddard ME (1983) Selection indices for non-linear profit functions. Theoretical and Applied Genetics 64, 339–344.
| Selection indices for non-linear profit functions.CrossRef | 1:STN:280:DC%2BC2c7psFWrsA%3D%3D&md5=1f473c7dd5c10f74e7616de5ae12cc98CAS | 24265083PubMed |
Hunter L, Turpie DWF, Gee E (1982) Effect of wool fibre properties on worsted processing performance and on yarn and fabric properties. In ‘Proceedings of the first world Merino conference’. pp. 109–133. (CSIRO Publishing: Melbourne)
JMP (2012) JMP Statistical Discovery from SAS. Available at http://www.jmp.com/ [Verified 6 August 2014]
Kemp S, Willetts K (1996) Remembering the price of wool. Journal of Economic Psychology 17, 115–125.
| Remembering the price of wool.CrossRef |
Maddever DC, Cottle DJ (1999) Product-process groups and wool price. Wool Technology and Sheep Breeding 47, 38–46.
McAfee RP, McMillan J (1987) Auctions and bidding. Journal of Economic Literature 25, 699–738.
Mullen J (1995) The influence of fat and weight on the price of lamb in the Homebush livestock and wholesale markets. Review of Marketing and Agricultural Economics 63, 64–76.
Nolan E, Farrell T, Ryan M, Gibbon C, Ahmadi-Esfahani FZ (2013) Valuing quality attributes of Australian merino wool. The Australian Journal of Agricultural and Resource Economics 57, 1–22.
Ryan M (2006) The implicit market for characteristics of merino wool: an hedonic approach. Bachelor of Agricultural Economics Thesis, University of Sydney.
Sheep Genetics (2015) Welcome to MERINOSELECT. Available at http://www.sheepgenetics.org.au/Breeding-services/MERINOSELECT-Home [Verified 17 March 2015]
Simmons P (1980) Determination of grade prices for wool. Review of Marketing and Agricultural Economics 48, 37–46.
Simmons P, Hansen P (1997) The effect of buyer concentration on prices in the Australian wool market. Agribusiness 13, 423–430.
| The effect of buyer concentration on prices in the Australian wool market.CrossRef |
Skinner JN (1965) Some factors affecting the clean price of greasy wool. Australian Journal of Agricultural Economics 9, 176–187.
| Some factors affecting the clean price of greasy wool.CrossRef |
Spinks M, Lehmer C (1986) An economic evaluation of additional measurement in wool processing. Australian Journal of Agricultural Economics 30, 162–172.
| An economic evaluation of additional measurement in wool processing.CrossRef |
Stanley-Boden IP (1985) Analysis of the price and availability of New Zealand wools according to their textile properties. Master Applied Science Thesis, University of Canterbury, Christchurch.
Stanley-Boden IP, Carnaby GA, Ross DA (1986) An analysis of the relative price paid for New Zealand wools. Wool Research Organisation of New Zealand, Christchurch. Communications C100, 1–34.
Stanton JH, Curtis K, Coss LR (1997) Application of auction information to wool processing. IWTO Conference, Boston, USA.
StataCorp (2012) Data analysis and statistical software. Special edition, Version 12. Available at http://www.stata.com/ [Verified 6 August 2014]
Stott KJ (1990) An analysis of premiums for staple measurement, and price differentials for length and strength properties of merino combing wool. AWC paper presented to the 34th Annual Conference of the Australian Agricultural Economics Society, Brisbane, 12–15 February.
Vizard AL, Williams SH (1993) A model to estimate the economic value of using individual fleece fibre diameter measurements to class wool. Agricultural Systems 41, 475–486.
| A model to estimate the economic value of using individual fleece fibre diameter measurements to class wool.CrossRef |
Whiteley KJ, McKinnon JM (1973) Some observations on the objective characteristics of classed wool clips. Part III: fibre diameter groups. In ‘Objective measurement of wool in Australia’. Technical Report, Paper 37. (Eds MW Andrews, JG Downes) pp. 37.1–37.13. (Australian Wool Corporation: Melbourne)
Wood EJ (2010) Wool processing. In ‘International sheep and wool handbook’. (Ed. DJ Cottle) pp. 619–648. (Australian Wool Innovation: Sydney)