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1 A A Study on the Consumption Pattern and Pricing Structure of Major Oriental Medicines in Korea :
2 : : ( ) : ( ) : ( ) : ( ) : ( ) : ( ) : ( ) : ( ) : ( ) : ( ) : ( ) : ( )
3 Abstract A Study on the Consumption Pattern and Pricing Structure of Major Oriental Medicines in Korea This study was conducted to provide basic information necessary for the better administration of Oriental medicines in Korea. Raw material of Oriental medicines(hahn medicines) are mainly agricultured by farmers or imported from Oriental countries and then used as various goods such as food, cosmetics, medicines, etc. Accordingly its safety, quality and price are required to be administrated optimally. In order to find out the better measure of administration this study contains three sub- contents as follows. defining the major Oriental medicines on the basis of consumption volume of them. estimating of the consumption pattern of the major Oriental medicines with surveyed data. analyzing the pricing structure of the major Oriental medicines with surveyed data. This study used various methods to analyze the data as follows Statistics of the production, import and export volume of Oriental medicines was analyzed to define the major Oriental medicines. The distribution and consumption volume of the major Oriental medicines was surveyed with structured questionaire and data were readjusted with some estimating formula. The prices and their structure of the major Oriental medicines were surveyed with structured questionaire and the data were analyzed with proportion.
4 The results and recommendation of this study were generated with General Idea Generation Method in which researchers, advisors and professions attended. The out put of this study are as follows The major Oriental medicines (37 items) were selected according to the consumption volume which was estimated with surveyed data. <Major Oriental medicines> A denophora triphylla A. DC. var. japonica Hara, Platycodon grandif lorum A. De Candolle, Angelica gigas Nakai, Dioscorea batatas Decaisne, Eucommia ulmoides Oliver, Astragalus membranaceus(fish.) Bunge, Paeonia lactif lora Pall, A ralia cordata Thunberg, Alisma Orientale Juzepzuk, Coix lacryma-jobi Linne var. mayuen STA PF, Cnidium off icinale Makino, Cyperus rotundus Linne, Rehmannia glutinosa Liboschitz var. purpurea Makino, Lycium chinense Miller, Glycyrrhiza glabra Linne, Citrus unshiu Markovich, Poria cocos Wolf, Cinnamomum cassia Blume, Crataegus pinnatifida Bunge var. typica Schneider, Cinnamomum cassia Blume, Dianthus superbus var. longicalycinus(max.) Williams, Dimocarpus longan Lour, Pueraria lobata Ohwi, Saussurea lappa Clarke, Amomum xanthioides Wallich, A rtemisia capillaris Thunberg, Cervus nippon Temminck, Polygonatum sibiricum Redoute, Polygonatum doratum(mill.) Druce, A tractylodes japonica Koidzumi, Zingiber off icinale Rosc., Panax ginseng C.A. Mayer, Pinellia ternata Breitenbach, Zizyphus jujuba Mill. var. inermis(bunge.) Rehd., Saposhnikovia divaricata Schischkin, A tractylodes lancea D.C., Magnolia off icinalis Rehder et Wilso The consumption volume of major Oriental medicines(51,374 ton/year) was estimated by consumer groups and by regions. The price and margine of the major Oriental medicines was analyzed by markets(4 major markets) and by distribution patterns(3 major patterns) This study suggested some ways to improve the administration of Oriental medicines This study recommends the safety, quality and price of the major Oriental medicines are required to be administrated by government in order to provide the Oriental physicians with better materials of medicine. And more in- depth studies on the pattern of pricing, consumption distribution and circulation of raw materials are necessary for advance- ment of Oriental medicine industry.
5 1/ / ( ) / / /
6 6 / / 362 / 369
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11 Grouping (1999 )
12 B Flow Chart
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29 1 15 Grouping (53.70%)(32.44%)(10.01%)(3.85%).,, * kj = T j kj T kj kj = p kj p kj (, k 2, k = 1,3,4), ( p 2j = 2j ). 1) k = 1 to 4 (1 =, 2 =, 3 =, 4 = ) 2) j = 1 to 37 (1 =, 2 =, 3 =,, 37 = ) 3) * kj =j 4) kj = j () 5) T j = j ( ) 6) p kj = j 3) ,393, 25,002, 21 51,354.
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50 , , ,567, ,031, ,015 (2-10). Y = 2E X , R 2 = ()() X (kg) ,000 20,017, ,000 23,638, ,000 28,136, ,000 33,368, ,000 39,504, ,000 46,760, ,000 55,277, ,000 65,093, ,000 76,339, ,000 89,043, , ,311, , ,567, , ,031, , ,015, Y' Y' (2-2).
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60 () , :,, , % 11, %, ,028(5.0%). 26,935 (66.8%) (2-16) , (: ) ,445 10,995 35,329 35,629 37,178 40,308 8,179 8,714 9,299 9,289 9,914 11,345 2,296 2,244 2,222 2,217 2,065 2, ,808 24,123 25,199 26,935 :,, 2000
61 2 47 1).,. : : : :, : :34( ), 43( ) 2),, 69. : : : - : - : : :,
62 48 :26( ),,,,,, 3). 30%, 37. : : : - :,,, - : 2 :352( ), 37( )54( ) ( ), (, ),, ( ),,,,,, ( ) 4)
63 2 49 ( 233) 35 2, 36, 37, 21, : : : :35 2, 36, 37, 21, ( 233) 5) ( , 100). : ( , 100) : : ( ) 2
64 50 2 :35 2, 36, 37, 21, ( 233) 6) :, : : : 2 2, 21 7, 29, 37, 32 (2-17).
65 (97.3.6) ( ) ( ) ,,. 5 2.,
66 52 (),,,, (50) 1..,, :., ) : : : : 30
67 : 30 - : -,,. - ( ) :,,,,,, : 2(), 3(), 5( ), 9() 222( ), 30( ) :, 1 2 : 8, %, 7.6 7,407(88.4%). 2,554(30.5%), (14.6%), (8.4%), 65(0.8%) (2-18).
68 , , , , , ,377 :,, () 3, () (1.8%) 6,785, 13612(9.7%) (3.3%), (16.1%)
69 (0.7% ) (1.7%), , (5.7%) % 180 (2-19) () (2,953) 5,553 (1,351) 69 (3,498) 5,928 (168) 81 (4,207) 6,172 (190) 98 (5,493) 6,648 (190) 115 (6,459) 124 (7,517) 6,520 6,910 (209) 136 (8,014) 6,785 2,106 2,025 2,028 1,961 16,886 17,639 18,854 18, ( ). :, 1) 2,062(30.2%), 956(14.0%), 642 (9.4%), 510(7.5%), 414(6.1%), 56 (0.8%).,, 3, % , ,8344.8%.
70 56 29(22.7%), 14(10.9%), 13(10.2%), 1,948 (26.0%), 728(9.7%), 723(9.6%) , , % %, 76.7%, 39.4%, 36.2%, 35.1%, 15.9% ( 2-20). 2-20
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