29 2 2010 2 Techology Ecoomics Vol129, No12 Feb., 2010 2006 2008,, (, 230009) :2006 2008, 2006 2008 :, ;, ;,,(), :;DEA ;; ; : F062. 4 :A :1002-980X(2010) 02-0039 - 06 1,,,, 16,,, [1 ],,, DEA (data evelop met aalysis) Papahristodoulou DEA,, [2 ] Seema Sharma 20 90, [3 ] Iha Oh J eog2dog Lee Seogwo Hwag Alma Hes2 hmati, D EA, [ 4 ] D EA 50 1999 2001,, R1J1 Orsato P1 Wells,,, 10, [5 ], DEA 1992 2001, 7 :2009-11 - 20 : (08030503032) : (1963 ),,,,, : ; (1980 ),,,,: ; (1986 ),,,,: 39
, 3, [6 ] D EA 2001 2010,, 2008,, [7 ],,, [8 ] DEA,,,, [9 ] D EA CR CRS 22,,,,,, [10 ] 33 2000 2004,, [11 ], D EA,,,, DEA,,,, 2 211 CCR 40 29 2 DEA, A1 Chares W1 Cooper DEA, SFA ( stochastic f rotier aalysis app roach), ;D EA, [12 ] D EA A1 Chares W1 W1 Coope E1 Rhodes CCR, : N D M U j (,2,, ) (decisio maker uit), m ( ) s ( ), j D M U j X j x mj ) Y j = ( x1 j, x2 j,, = ( y1 j, y2 j,, y j ) (,2,, ) j : h = m ui y ij i = 1 s v r x rj r = 1, (,2,, ) (1), DMU CCR : mi[ - ( e T s - + e T s + ) ] j X j + s - = X j0 s1 t1 i Y i - s + = Y j0 (2) j 0 ;,2,, ; s - 0 ; s + 0 0 S +0 S - 0 0 = 1 S +0 = S - 0 = 0, DM U j0 D EA, DEA, X 3 0 = X - S - 0, Y0 3 = Y + S +0,, D EA DM U DEA, CCR DM U 3 j (,2,, ), 3,, 3 j, 3 j > 1, 3 j < 1 [ 13-14 ] 212 DEA CCR,,
:, : mi s1 t1 m 1 1 x 0 j X j + S - = j Y j + S + = y0 Π j 0 (,2,, ) S + 0, S - 0 D EA,, ;,,DMU : ( X1) ( X2) ( X3),3,,, (3) 1, D M U : ( Y1) ( Y2) [15-16 ] 213,, 2006 2008,, 16 DEA, 16, 3, 2, 16 (16) 2 (3 2 2 = 12), DEA ;, DEA 1 DM U1 600006 DM U9 600686 DM U2 600066 DM U10 000500 DM U3 600104 DM U11 000572 DM U4 600166 DM U12 000625 DM U5 600213 DM U13 000800 DM U6 600375 DM U14 000927 DM U7 600418 DM U15 000951 DM U8 600565 DM U16 000957 3 311 2 2 SPSS11 RC > 1 RC > 1 2006 2007 2008 2006 2007 2008 2006 2007 2008 ( ) 16 1114000 1282185 1337846 01 125 01 125 01 125 01875 01875 01875 ( ) 16 5113 6216 6482 01 500 01 500 01 500 01500 01500 01500 ( ) 16 782398 1319772 1416423 01 500 01 188 01 250 01500 01813 01750 ( ) 16 31479 59390 29905 01 438 01 188 01 438 01563 01813 01563 ( ) 16 933536 1542446 1618119 01 500 01 188 01 250 01500 01813 01750 : RC 2006 2008 ( R C = / ) 2 : 2006 2008, 4, 2008,,,,2008 2007, 2006 2008 2007 68168 %,, CPI,,RC 2, 3 41
,50 %,,,,, DM U 312 3 16 DEA DEA P211, 3 2006 2008 3 16 1 01 921 01886 01888 01 923 01 886 01889 01997 11 000 01999 drs - drs 2 01 980 01977 11000 11 000 01 978 11000 01980 01 999 11000 irs drs - 3 11 000 11000 11000 11 000 11 000 11000 11000 11 000 11000 - - - 4 11 000 11000 11000 11 000 11 000 11000 11000 11 000 11000 - - - 5 01 835 01828 01847 11 000 11 000 11000 01835 01 828 01847 irs irs irs 6 01 902 01872 01866 11 000 11 000 11000 01902 01 870 01866 irs irs irs 7 11 000 01961 01882 11 000 01 967 01882 11000 01 994 11000 - irs - 8 11 000 11000 11000 11 000 11 000 11000 11000 11 000 11000 - - - 9 01 994 01932 01866 11 000 01 991 01867 01994 01 998 01999 irs irs irs 10 11 000 11000 11000 11 000 11 000 11000 11000 11 000 11000 - - - 11 11 000 01904 01820 11 000 01 909 01820 11000 01 998 11000 - irs - 12 11 000 01895 01901 11 000 01 895 01904 11000 11 000 01997 - - drs 13 01 971 11000 11000 01 971 11 000 11000 11000 11 000 11000 - - - 14 01 909 01813 01833 01 916 01 813 01833 01993 11 000 11000 irs - - 15 01 980 11000 01981 01 994 11 000 01999 01986 11 000 01982 irs - irs 16 01 864 01850 01870 01 965 01 957 01942 01895 01 952 01924 irs irs irs 01 960 01932 01922 01 986 01 962 01946 01974 01 977 01976 :, irs, drs, - 3,2008 (DEA ) : 6, 37. 5 % : 8, 50 % 3, 3,,,, 1 :,,,,,, 3 :, 42 29 2,,, 313 2006 2008 8 ( DMU 50 %),, 5 D M U3 1 2008,, 6,,, ;,, ( 4) [17 ]
:,3,, 2008,, 2008, 3,DEA,, 314, DEA PROJ ECTION SUMMAR Y variable 4 Results for firm :1 Techical efficiecy = 01889 Scale efficiecy = 01 999 (drs) Origial movemet, DEA [18], DEA, (2008 ), 4 4, 918, 7336,, 83059517711 DEA,, 918,, 51511314514,, 9 DEA DMU, Radial movemet Slack movemet Projected output 1 31548203117 0 51511314514 83059517711 output 2 - - - - iput 1 - - - 716073714814 iput 2 8254-918 0 7336 iput 3 - - - 918892148815 4 DEA 16 3,,,,,,,,,,,,,,, value,,,,,,,,, ;,,,,,,, 43
29 2,,,,,,,, 200, 90 % 10,,2008,,, ;,,, [ 1 ],,. [ M ]. :,2005 :15121641 [ 2 ] PAPA HRISTODOULOU C1 A DEA model to evaluate car efficiecy [ J ]. Applied Ecoomics, 1997, 29 : 14932 15081 [ 3 ] SHARMA S. A study o productivity performace of I2 dia automobile idustry : Growth accoutig aalysis [ Z]. APPC2004 Coferece Program, hosted by t he Ce2 tre for Efficiecy ad Productivity Aalysis,school of Eco2 omics,uiversity of Queeslad,Brisbae,Australia J u2 lyl4 16,20041 [4 ] O H I,L EE J2D. ANalysis of product efficiecy i t he Ko2 rea automobile market from a cosumer s perspective [ Z]. The North of America Productivity Workshop, To2 roto,caada J ue 22 25,20041 [ 5 ] ORSA TO R J,WELL S P. U2tur : t he rise ad demise of the automobile idustry [ J ]. Joural of Cleaer Produc2 tio,2007 (15) :994210061 [ 6 ]. DEA [J ].,2004 (10) :772791 [ 7 ]. DEA [J ].,2005 (2) : 422491 [ 8 ],. [J ].,2004 (12) :15721591 [ 9 ],. DEA [J ].,2006 (10) :352471 [ 10 ]. DEA [J ].,2005 (5) :26422661 [ 11 ]. [J ].,2007 (2) :542631 [ 12 ] COOPER C A,R HODEs W W E. Measurig t he efficiecy of decisio makig uit s[j ]. Europea Joural of Opera2 tioal Research,1978,2 :42924441 [ 13 ]. [ M ]. :,2004 : 15921841 [ 14 ] J O HNS J. Data evelopmet aalysis ad its applicatio to t he measuremet of efficiecy i higher educatio[j ]. Ecoomics of Educatio Review,2006,25 (3) :27322881 [ 15 ] WESL EY J,BU TL ER T W. A itroductio to date e2 velopmet aalysis A efficiecy evaluatio of prisos [J ]. Crimial J ustice Review,1997,22 :12151 [ 16 ] L EACHMAN C,PEGEL S C C,SHIN S K. MAufactur2 ig performace : evaluatio ad determiat s[j ]. Iter2 atioal Joural of Operatios met,2005,25 (9) :85128741 & Productio Maage2 [17 ]. [J ].,2001 (21) :852891 [ 18 ] PODINOVSKI V V. DEA models for t he explicit maxi2 mizatio of relative efficiecy [ J ]. Europea Joural of Operatioal Research,2001 (131) :572 5861 Aalysis o Techical Eff iciecy of Automobile Idustry i Chia :Based o Empirical Evidece from Chiese Listed Compaies i Automobile Idustry Durig 200622008 Wa L ulai,l u Lili,Liu Ziog ( School of Humaities ad Ecoomics, Hefei Uiversity of Techology, Hefei 230009,Chia) Abstract : Usig t he aual report data about 16 Chia s listed compaies i automobile idustry over the period of 200622008 ad the method of Data Evelopmet Aalysis,t his paper calculates ad aalyzes t he techical efficiecy of Chia s automobile idustry i recet years1 The re2 sult shows that :although some listed compaies i automobile idustry of Chia are at the stage of icreasig returs,the declie of pure techi2 cal efficiecy of some listed compaies i automobile idustry results i the dowtred of total techical efficiecy of listed compaies i automo2 bile idustry ;oly half of listed compaies operate o the frotier of techical efficiecy,ad the differece i techical efficiecy of listed compa2 ies i Chia s automobile idustry has itesified ;i the backgroud of globe fiacial crisis,the profit of may listed compaies has bee decli2 ig,ad t he abilities of listed compaies at techical efficiecy frotier to resist risk are troger t ha t hose wit h t he lower techical efficiecy1 Therefore,t he cotributio degree of t he factors of techology ad scale to techical efficiecy for listed compaies i Chia s automo2 bile idustry should be improved1 Key words : automobile idustry ;DEA ;techical efficiecy ;pure techical efficiecy ;scale efficiecy 44