000267251 001__ 267251
000267251 005__ 20180402150401.0
000267251 022__ $$a0303-1853
000267251 037__ $$a346-2018-435
000267251 041__ $$aeng
000267251 260__ $$c1990-02
000267251 269__ $$a1990-02
000267251 336__ $$aJournal Article
000267251 520__ $$aA set of demand equations for 18 South African agricultural products, representing three demand systems (red meats, fruits and vegetables), were estimated from monthly data for the period December 1982 to February 1988. Data were deflated with a commodity price index and natural logarithmic partial adjustment equations were estimated with two-stage least squares to determine demand parameters for each product. Theoretically expected results were obtained and, owing to variability in seasonal data, results were generally highly significant. Beef is confirmed as the dominant commodity in the red meat market, having cross-price flexibilities with mutton and pork of 0,30 and 0,20, respectively. All goods other than pumpkins are shown to be normal and fruits and vegetables (having many substitutes) are shown to be demand elastic. All products are normal goods, with the exception of pumpkins (income flexibility of -0,74), which are inferior. Apples and pineapples were found to be the dominant fruits and onions, tomatoes and cabbages had the most significant cross-price effects on the system of vegetable demand equations.
000267251 542__ $$fBy depositing this Content ('Content') in AgEcon Search, I agree that  I am solely responsible for any consequences of uploading this Content to AgEcon Search and making it publicly available, and I represent and warrant that: I am either the sole creator and the owner of the copyrights and all other rights in the Content; or, without obtaining another’s permission, I have the right to deposit the Content in an archive such as AgEcon Search. To the extent that any portions of the Content are not my own creation, they are used with the copyright holder’s express permission or as permitted by law. Additionally, the Content does not infringe the copyrights or other intellectual property rights of another, nor does the Content violate any laws or another’s rights of privacy or publicity. The Content contains no restricted, private, confidential, or otherwise protected data or information that should not be publicly shared. I understand that AgEcon Search will do its best to provide perpetual access to my Content. In order to support these efforts, I grant the Regents of the University of Minnesota ('University'), through AgEcon Search, the following non-exclusive, irrevocable, royalty-free, world-wide rights and licenses: to access, reproduce, distribute and publicly display the Content, in whole or in part, in order to secure, preserve and make it publicly available, and to make derivative works based upon the Content in order to migrate the Content to other media or formats, or to preserve its public access. These terms do not transfer ownership of the copyright(s) in the Content. These terms only grant to the University the limited license outlined above.
000267251 546__ $$aEnglish
000267251 650__ $$aCrop Production/Industries
000267251 650__ $$aDemand and Price Analysis
000267251 700__ $$aBowmaker, P. A.
000267251 700__ $$aNieuwoudt, W. L.
000267251 773__ $$jVolume 29$$kIssue 1$$o50$$q46$$tAgrekon
000267251 8560_ $$fweidm015@umn.edu
000267251 8564_ $$s749837$$uhttp://ageconsearch.umn.edu/record/267251/files/agrekon-29-01-008.pdf
000267251 8564_ $$s2191119$$uhttp://ageconsearch.umn.edu/record/267251/files/agrekon-29-01-008.pdf?subformat=pdfa$$xpdfa
000267251 909CO $$ooai:ageconsearch.umn.edu:267251$$pGLOBAL_SET
000267251 980__ $$a346