175 71 5 19 / 100 20 20 309 133
72 176 62 3 8 2009 2002 1 2 3 1 8 1 20 1 2 + 0.4952 1 2 http://www.mtwa.or.jp/ h19mokuji.html
20 100 146 0 6,365 359 111 0 38,997 11,689 133,960 36,830 76,177 155,684 18,068 23,182 23,197 32,378 9,401 112,196 31,984 61,063 117,472 18,788 21,961 29,292 7,770 2,442 13,922 7,001 7,094 13,794 4,571 5,832 2,804 12,261 3,361 21,718 14,264 20,428 24,714 5,273 7,667 11,125 21 4 63 14,986 4 2,252 1,368 20,329 2,120 1,780 12,418 1,423 615 14,420 337,616 108,584 443,298 244,700 318,592 34,161 119,636 139,108 304,292 415,048 158,461 1,776,041 732,019 824,413 1,388,768 313,650 488,893 611,306 180,465 57,234 713,909 173,417 315,469 87,502 59,692 109,445 217,866 384,797 130,878 945,149 542,125 669,857 1,010,103 254,612 375,863 473,117 150,214 29,652 560,281 16,477 160,914 291,163 654 3,584 79,677 / 48.0 14.8 109.0 53.4 89.1 129.9 30.6 29.8 31.2 / 974 955 1,357 821 935 1,305 740 974 833 0.0477 0.0408 0.0431 0.0303 0.0460 0.0682 0.0361 0.0298 0.0200 / 7,034 7,337 4,067 4,582 3,576 263 3,910 4,668 9,753 177 73
74 178 62 3 + + 0.7054 + + + 2 Data Envelopment Analysis DEA A G 7 DMU DEA CCR BCC 2 CCR B OB DMU CCR B B DMU CCR C qr/qt BCC AIBDE A I B D E C qs/qt A A DEA
179 75 Y O CCR BBC X DMU DEA CCR n DMU (X j, Y j )( j 1,, n) x o R m y o R s DMU o (o 1,, n) CCR C BCC B
76 180 62 3 CCR min C C, s.t. n C x o j x j 0 j 1 y n o j y j 0 j 1 j 0 ( j 1,, n) j DMU max ut y o u,v s.t. v T x o 1 u T y j v T x j ( j 1,, n) u 0, v 0 v T (v 1,, v m ) R m u T (u 1,, u s ) R s BCC min B B, s.t. n B x o j x j 0 j 1 y n o j y j 0 j 1 n j =1 j 0 ( j 1,, n) j 1 j DMU max ut y o c u,v,c s.t. v T x o 1 u T y j c v T x j ( j 1,, n)
181 77 u 0, v 0 v T (v 1,, v m ) R m u T (u 1,, u s ) R s c 1 DMU 0 0 BCC CCR 3 CCR BCC 1 CCR BCC BCC CCR CCR CCR 1 2 BCC 1 BCC 1 CCR CCR 0.992934 0.677137 0.219487 1. 1 0.992947 0.872572 0.916312 2.728834 3.11E-02 0.932211 2.019557 0.322953 1 1 0.819574 0.745587 7.14E-02 0.886321 1.642488 3.43E-02 0.590549 1.840049 E 02 10 2
78 182 62 3 BCC BCC 1 1 1 1 1 0.139009 0.860981 0.939926 0.808814 0.191186 0.941647 0.554931 0.445069 1 1 0.98659 0.945222 5.48E-02 0.899546 0.904193 9.58E-02 0.602856 0.923588 7.64E-02 1 0.9 BCC 0.8 CCR 0.7 0.6 0.5 0.4 CCR 0.992934 BCC 1 1 1 0.992947 0.916312 0.932211 1 0.939926 0.941647 1 1 0.819574 0.886321 0.590549 0.98659 0.899546 0.602856 CCR CCR BCC 0.6 CCR
183 79 Slack CCR 0.992934055 0 4,474,059,472 0 121,229,051,542 71,751,570,477 0 1 0 0 0 0 0 0 0.99294653 8,901,599,932 0 551,714,890,725 632,522,003,277 57,095,441,610 0 0.91631171 0 3,128,639,323 195,152,964,256 0 108,196,175,393 0 0.932211437 0 4,272,947,510 0 150,237,461,107 33,916,708,002 0 1 0 0 0 0 0 0 0.819574453 0 50,371,031 39,736,652,204 0 38,957,545,568 0 0.886321176 0 428,219,357 125,480,671,734 0 83,573,748,410 0 0.590548739 0 384,542,457 69,430,726,298 23,347,039,718 38,576,384,750 0 1 CCR 1 CCR 1 17,298,417,476 9,401,064,709 1.84004876168714 3,361,440,343 1.84004876168714 4 384,542,457
80 184 62 3 0.992934055 32,378,149,442 32,149,367,232 228,782,210 0.71 12,261,184,235 7,700,487,915 4,560,696,320 37.20 4.15048E+11 4.12116E+11 2,932,707,805 0.71 1.80465E+11 57,960,855,993 1.22504E+11 67.88 3.84797E+11 3.10327E+11 74,470,525,437 19.35 46,766,600,461 46,766,600,461 0 0.00 1 9,401,064,709 9,401,064,709 0 0.00 3,361,440,343 3,361,440,343 0 0.00 1.58461E+11 1.58461E+11 0 0.00 57,234,095,617 57,234,095,617 0 0.00 1.30878E+11 1.30878E+11 0 0.00 14,130,570,134 14,130,570,134 0 0.00 0.99294653 1.12196E+11 1.02503E+11 9,692,969,389 8.64 21,717,670,318 21,564,485,381 153,184,937 0.71 1.77604E+12 1.2118E+12 5.64242E+11 31.77 7.13909E+11 76,351,722,602 6.37558E+11 89.31 9.45149E+11 8.81387E+11 63,762,023,440 6.75 1.47882E+11 1.47882E+11 0 0.00 0.91631171 31,984,107,808 29,307,412,514 2,676,695,294 8.37 14,263,777,711 9,941,427,221 4,322,350,490 30.30 7.32019E+11 4.75604E+11 2.56414E+11 35.03 1.73417E+11 1.58904E+11 14,512,943,857 8.37 5.42125E+11 3.88559E+11 1.53566E+11 28.33 43,830,884,304 43,830,884,304 0 0.00 0.932211437 61,063,346,207 56,923,949,723 4,139,396,484 6.78 20,427,702,158 14,769,990,076 5,657,712,082 27.70 8.24413E+11 7.68527E+11 55,885,742,977 6.78 3.15469E+11 1.43847E+11 1.71623E+11 54.40 6.69857E+11 5.90532E+11 79,325,342,858 11.84 83,271,075,654 83,271,075,654 0 0.00
185 81 1 1.17472E+11 1.17472E+11 0 0.00 24,713,715,649 24,713,715,649 0 0.00 1.38877E+12 1.38877E+12 0 0.00 87,501,961,137 87,501,961,137 0 0.00 1.0101E+12 1.0101E+12 0 0.00 1.69478E+11 1.69478E+11 0 0.00 0.819574453 18,788,274,503 15,398,389,803 3,389,884,700 18.04 5,272,867,579 4,271,136,532 1,001,731,047 19.00 3.1365E+11 2.17323E+11 96,327,092,025 30.71 59,691,734,424 48,921,820,603 10,769,913,821 18.04 2.54612E+11 1.69716E+11 84,896,035,190 33.34 22,638,599,522 22,638,599,522 0 0.00 0.886321176 21,961,097,052 19,464,585,369 2,496,511,683 11.37 7,667,419,035 6,367,576,501 1,299,842,534 16.95 4.88893E+11 3.07835E+11 1.81057E+11 37.03 1.09445E+11 97,003,274,739 12,441,560,098 11.37 3.75863E+11 2.49562E+11 1.26301E+11 33.60 29,013,973,538 29,013,973,538 0 0.00 0.590548739 29,292,108,070 17,298,417,476 11,993,690,594 40.95 11,124,833,848 6,185,214,141 4,939,619,707 44.40 6.11306E+11 2.91575E+11 3.19731E+11 52.30 2.17866E+11 1.05314E+11 1.12553E+11 51.66 4.73117E+11 2.40822E+11 2.32295E+11 49.10 26,000,938,077 26,000,938,077 0 0.00 E 11 10 11 E 12 11,124,833,848 0.590548738759181 384,542,457 0.5905 1.84
82 186 0 10 20 30 40 50 60 70 80 90 100 62 3 3 45 3 http://www.mtwa.or.jp/ h19mokuji.html
187 83 16 59 17 40 50 CCR CCR 0.5444 5
84 188 62 3 5 1
189 85 2008 5 5 1 1 1 1 2 1 1 1 3 1 1 1 4 0.992934055 0.992934055 0.992934055 5 0.964683978 0.964683978 0.93697125 6 0.931990412 0.931990412 0.91631171 7 0.89154586 0.89154586 0.886321176 8 0.826131038 0.826131038 0.823354345 9 0.606103826 0.640547626 0.68477039 4 1 5 1 2 2008 5 5 15.23 3 CCR 5 5 15.23 2008 5 CCR 4 http://www.city.kyoto.lg.jp/kotsu/cmsfiles/contents/0000075/75121/kousoku.pdf
86 190 62 3 5 22 2009 61 1 1-11 1993 2002 26 25-43
191 87 The Doshisha University Economic Review Vol.62 No.3 Abstract Yoshio ITABA, An Efficiency Analysis of Public Subways The public subway in Japan has been asked to improve its financial health since the enforcement of the Act on Assurance of Sound Financial Status of Local Governments. Therefore, various management restructuring plans have been presented in each city. In order to examine these plans, it is necessary to understand the efficiency of public subways. To this end, the present paper conducts an efficiency analysis of the public subways of both Tokyo Prefecture and other major cities by using data envelopment analysis (DEA). The results are as follows. Public subway efficiency is poor in some cities, and the cost needs to be reduced. The efficiency is quite poor in Kyoto City and the city s management restructuring plan is insufficient. Moreover, the construction bond principle of the Local Finance Act requires improvement.