Running Head : localization principle QuotientNameUniversityCourseTutorDateQuestion One : counting of the status quotient for all industries for 1991 and 1996 using info on Oxford CountyThe data that has been utilise this is derived from the Agricultural assessment research which was carried in 2000 on the Oxford County ( HYPERLINK hypertext transfer protocol /www .ofa .on .ca /site /main .asp ? pictorial matter / miscue /maintit_studies .jpg l ine 900 Inc /whatwedo /studies .asp http /www .ofa .on .ca /site /main .asp ?pic /cutting /maintit_studies .jpg li ne 900 Inc /whatwedo /studies .asp . The honor of the location quotient is devoted over by dividing the workplace level in champion given range for Oxford County by the larger area , Ontario meshing in that very(prenominal) domain for a specified period . The data has considered get to classs , that is 1991 and 1996 . The values of the Location Quotient are given down the stairs as shown in the table and they are de noned by L /Q with respect to specific yearsQuestion two : Interpret the location quotients for for for each one one empyreanThe location Quotient is basically a way of quantifying how grueling a particular labor is in resemblance to the coiffe theatrical role . The single Quotients for various sectors given in suspicion one above represent the submergence of the sectors moving in in Oxford County compared to the whole region of Ontario . The data in incredulity one shows the sum of participation by each sector in Oxford County and similarly Ontario at large . Therefore the quotient mensural shows the concentration of employment level by each sector in Oxford County compared to the entire large region of Ontario . For example the 0 .04 value of the Location quotient in the year 1991 implies Oxford County s Agricultural and cerebrate industries emp! loyment level accounts for 4 of the the location Quotient is small it implies that the sectors contributes less(prenominal) to the creation of employment opportunities in the area in question and for this case the Oxford County area . For example the sectors with 0 .01 location Quotient marrow that the sector exactly provides 1 of the employment levels in those respective sectors in comparison to the employment levels of those respective sectors in OntarioThe Sectors which educate a value of nought of the location quotient implies that they are not significant in creating employment opportunities in Oxford County , as the concentration is equal to zero From the data used , thither was an annex in the employment levels in the agricultural sector and as well as in the digging sector . In agriculture the employment concentration increase from 4 in 1991 to 5 in 1996 There was an increase in employment in the jibe and quarrying industry from 0 in 1991 to 1 in 1996 , meaning ther e arose some mining activities in Oxford County during the year of 1996 . The concentration for pay and Insurance in Oxford County declined from 0 .01 in 1991 to zero in 1999 implying that the employment shifted from this sector to other sectors comparable agriculture and mining that increased or...If you want to get a full essay, piece it on our website: OrderCustomPaper.com
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