Agricultural Marketing: Structural models for price analysis

Please use this identifier to cite or link to this item: 192.168.6.56/handle/123456789/27870

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DC Field	Value	Language
dc.contributor.author	James Vercammen	-
dc.date.accessioned	2018-12-05T08:15:24Z	-
dc.date.available	2018-12-05T08:15:24Z	-
dc.date.issued	2011	-
dc.identifier.isbn	978-0-203-82831-1	-
dc.identifier.uri	http://10.6.20.12:80/handle/123456789/27870	-
dc.description	At the time of writing this Preface (August 2010) agricultural commodity prices are once again beginning to surge. Prices had surged in the 18 months leading up to the meltdown of world fi nancial markets in the fall of 2008, but then retreated to early 2007 levels as a result of the market meltdown. The 2006–8 price surge has rightfully or wrongfully been attributed to a variety of factors including rapidly rising demand for agricultural commodities in emerging economies such as China and India, rapidly rising demand for corn and soybeans by the biofuels sector and large-scale speculation by hedge funds and other institutional inves- tors. The current surge in commodity prices, including a near doubling in the world price of wheat over the past few months, is being blamed on a severe and widespread drought in Russia, and, more generally, a slowly increasing gap between the demand and supply of agricultural commodities	-
dc.language	en	-
dc.language.iso	en	en_US
dc.publisher	Routledge	en_US
dc.subject	Livelihood	en_US
dc.title	Agricultural Marketing: Structural models for price analysis	en_US
dc.type	Book	en_US
Appears in Collections:	Gender Studies

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