Lampiran 8. Biaya Penyusutan Peralatan Petani Kedelai Di Desa Tanjung Jati, Kecamatan Binjai, Kabupaten Langkat Sambungan No.
Luas Lahan
Ha Parang
Sprayer Thresher
Jumlah Unit
Harga Beli Rp
Umur Pakai
Penyusutan Rp
Jumlah Unit
Harga Beli Rp
Umur Pakai
Penyusutan Rp
Jumlah Unit
Harga Beli Rp
Umur Pakai
Penyusutan Rp
23 1.5
2 27.000
4 13.500
2 350.000
15 46.667
24 0.88
2 30.000
4 15.000
1 1.500.000
15 100.000
25 1
3 30.000
3 30.000
2 300.000
10 60.000
26 3
4 24.000
3 32.000
2 300.000
10 60.000
27 1.5
3 20.000
4 15.000
2 500.000
20 50.000
28 1
2 27.000
4 13.500
1 300.000
15 20.000
29 1.5
2 27.000
4 13.500
2 300.000
15 40.000
30 1
2 27.000
4 13.500
2 400.000
15 53.333
Jumlah 72
787.000 110
527.750 49
14.890.000 415
1951.167 1 8.000.000
25 320.000
RataPetani 2.4
26.233 3.7
17.592 1.6
496.333 13.8
65.039 0.03
266.666 0.83
10.667 Rata Ha
1.7 2.6
12.279 1.1
9.7 45.397
0.02 0.58
Keterangan : - Penyusutan alat dihitung dengan metode : Jumlah Alat x Harga Alat Umur Pakai Tahun
Lampiran 8. Biaya Penyusutan Peralatan Petani Kedelai Di Desa Tanjung Jati, Kecamatan Binjai, Kabupaten Langkat Sambungan
No. Luas
Lahan Ha
Mesin Babat Handtraktor
Total Biaya Penyusutan Rp Jumlah
Unit Harga
Beli Rp Umur
Pakai Penyusutan
Rp Jumlah
Unit Harga Beli
Rp Umur
Pakai Penyusutan
Rp
1 1
1 15
100.000 267.500
2 4
2 20
150.000 1
25.000.000 30
833.333 1.622.333
3 2
148.300 4
3 3
1.500.000 20
225.000 500.167
5 0.2
242.917 6
4 2
15 166.667
1 26.000.000
30 866.667
1.221.667 7
1 109.800
8 1.5
83.233 9
1 1
15 100.000
279.333 10
2.3 2
20 100.000
419.000 11
0.4 83.600
12 1
95.800 13
0.8 80.300
14 0.2
87.300 15
1.5 101.500
16 0.2
167.000 17
0.2 103.300
18 0.4
93.800 19
1 106.300
20 0.4
106.250 21
4 1
1.500.000 15
100.000 307.333
22 1.5
127.600
Lampiran 8. Biaya Penyusutan Peralatan Petani Kedelai Di Desa Tanjung Jati, Kecamatan Binjai, Kabupaten Langkat Sambungan
No. Luas
Lahan Ha
Mesin Babat Handtraktor
Total Biaya Penyusutan Rp Jumlah
Unit Harga
Beli Rp Umur
Pakai Penyusutan
Rp Jumlah
Unit Harga
Beli Rp Umur
Pakai Penyusutan
Rp
23 1.5
125.167 24
0.88 173.150
25 1
1 1500.000 15
100.000 265.667
26 3
1 1250.000 20
62.500 216.500
27 1.5
136.950 28
1 86.500
29 1.5
100.300 30
1 112.633
Jumlah 14 3.000.000 155
1.104.167 2 51.000.000
60 1.700.000
7.571.200 RataPetani
0.5 100.000
5.2 36.806
0.07 1.700.000
2 56.667
252.373 RataHa
0.3 3.7
25.690 0.05
1.4 39.553
176.156 Keterangan : - Penyusutan alat dihitung dengan metode : Jumlah Alat x Harga Alat
Umur Pakai Tahun
Lampiran 9. Rekapitulasi Total Biaya Tetap Petani Kedelai Di Desa Tanjung Jati, Kecamatan Binjai, Kabupaten Langkat
No. Responden
Luas Lahan
Ha Biaya Tetap
Total Biaya Tetap Rp Biaya Sewa Lahan Rp
Penyusutan Rp
1 1
1.500.000 267.500
1.767.500
2 4
6.000.000 1.622.333
7.622.333
3 2
3.000.000 148.300
3.148.300
4 3
4.500.000 5001.667
5.000.167
5 0.2
300.000 242.917
542.917
6 4
6.000.000 1.221.667
7.221.667
7 1
1.500.000 109.800
1.609.800
8 1.5
2.250.000 83.233
2.333.233
9 1
1.500.000 279.333
1.779.333
10 2.3
3.450.000 419.000
3.869.000
11 0.4
600.000 83.600
683.600
12 1
1.500.000 95.800
1.595.800
13 0.8
1.200.000 80.300
1.280.300
14 0.2
300.000 87.300
387.300
15 1.5
2.250.000 101.500
2.351.500
16 0.2
300.000 167.000
467.000
17 0.2
300.000 103.300
403.300
18 0.4
600.000 93.800
693.800
19 1
1.500.000 106.300
1.606.300
20 0.4
600.000 106.250
706.250
21 4
6.000.000 307.333
6.307.333
22 1.5
2.250.000 127.600
2.377.600
Lampiran 9. Rekapitulasi Total Biaya Tetap Petani Kedelai Di Desa Tanjung Jati, Kecamatan Binjai, Kabupaten Langkat Sambungan
No. Responden
Luas Lahan
Ha Biaya Tetap
Total Biaya Tetap Rp Biaya Sewa Lahan Rp
Biaya Penyusutan Rp
23 1.5
2.250.000 125.167
2.375.167
24 0.88
1.320.000 173.150
1.493.150
25 1
1.500.000 265.667
1.765.667
26 3
4.500.000 216.500
4.716.500
27 1.5
2.250.000 136.950
2.386.950
28 1
1.500.000 86.500
1.586.500
29 1.5
2.250.000 100.300
2.350.300
30 1
1.500.000 112.633
1.612.633 Jumlah
64.470.000 7.571.200
72.041.200 Rata-RataPetani
2.149.000 252.373
2.401.373 Rata-RataHa
1.500.000 176.156
1.676.156
Lampiran 10. Total Biaya Petani Petani Kedelai Di Desa Tanjung Jati, Kecamatan Binjai, Kabupaten Langkat No.
Responden Luas
Lahan Ha
Biaya Variabel Rp Biaya Tetap Rp
Total Biaya Rp
1 1
4.347.000 1.767.500
6.194.500
2 4
21.686.000 7.622.333
30.222.333
3 2
12.402.000 3.148.300
16.048.300
4 3
16.443.000 5.000.167
22.045.167
5 0.2
1.247.900 542.917
1.842.817
6 4
22.016.000 7.221.667
30.021.667
7 1
5.986.000 1.609.800
7.815.800
8 1.5
9.262.500 2.333.233
12.081.733
9 1
5.618.000 1.779.333
7.575.333
10 2.3
13.426.500 3.869.000
17.731.500
11 0.4
1.993.500 683.600
2.729.100
12 1
4.306.000 1.595.800
6.065.800
13 0.8
3.540.000 1.280.300
4.970.300
14 0.2
1.024.900 387.300
1.426.200
15 1.5
6.071.500 2.351.500
8.549.000
16 0.2
1.148.000 467.000
1.657.000
17 0.2
1.195.000 403.300
1.612.300
18 0.4
1.661.500 693.800
2.369.300
19 1
8.544.000 1.606.300
10.610.300
20 0.4
2.065.100 706.250
2.837.350
21 4
16.975.000 6.307.333
23.812.333
22 1.5
9.838.000 2.377.600
12.685.600
Lampiran 10. Total Biaya Petani Kedelai di Tanjung Jati, Kecamatan Binjai, Kabupaten Langkat Sambungan No.
Responden Luas Lahan
Ha Biaya Variabel Rp
Biaya Tetap Rp Total Biaya Rp
23 1.5
7.741.000 2.375.167
104.101.667
24 0.88
3.848.000 1.493.150
5.394.150
25 1
5.478.000 1.765.667
73.836.667
26 3
14.251.000 4.716.500
19.327.500
27 1.5
6.733.500 2.386.950
9.218.450
28 1
3.981.000 1.586.500
5.661.500
29 1.5
6.287.500 2.350.300
8.847.800
30 1
4.516.000 1.612.633
6.250.633 Jumlah
223.633.400 72.041.200
303.397.600 Rata-RataPetani
7.454.447 2.401.373
10.113.253 Rata-RataHa
5.203.197 1.676.156
7.059.041
Lampiran 11. Total Biaya, Produksi, Penerimaan dan Pendapatan, Pendapatan Keluarga Petani Petani Kedelai Di Desa Tanjung Jati, Kecamatan Binjai, Kabupaten Langkat
No. Responden
Luas Lahan
Ha Produksi Kg Total Penerimaan Rp
Total Biaya Rp Pendapatan Rp
Pendapatan Keluarga Rp
1 1
2000 30.000.000
6.194.500 23.805.500
23.955.500 2
4 12000
180.000.000 30.222.333
149.777.667 149.777.667
3 2
5000 40.000.000
16.048.300 23.951.700
23.951.700 4
3 9000
135.000.000 22.045.167
112.954.833 112.954.833
5 0.2
500 7.500.000
1.842.817 5.657.183
6.322.183 6
4 10000
150.000.000 30.021.667
119.978.333 119.978.333
7 1
2500 37.500.000
7.815.800 29.684.200
29.834.200 8
1.5 3000
24.000.000 12.081.733
11.918.267 12.018.267
9 1
2500 30.000.000
7.575.333 22.424.667
22.574.667 10
2.3 5750
86.250.000 17.731.500
68.518.500 68.518.500
11 0.4
1000 8.000.000
2.729.100 5.270.900
6.005.900 12
1 1500
22.500.000 6.065.800
16.434.200 16.534.200
13 0.8
1200 14.400.000
4.970.300 9.429.700
9.879.700 14
0.2 200
2.400.000 1.426.200
973.800 1.448.800
15 1.5
2250 33.750.000
8.549.000 25.201.000
25.721.000 16
0.2 500
7.500.000 1.657.000
5.843.000 6.438.000
17 0.2
400 4.800.000
1.612.300 3.187.700
3.662.700 18
0.4 600
4.800.000 2.369.300
2.430.700 2.905.700
19 1
3000 24.000.000
10.610.300 13.389.700
14.129.700 20
0.4 1000
8.000.000 2.837.350
5.162.650 5.822.650
21 4
8500 102.000.000
23.812.333 78.187.667
78.187.667 22
1.5 3750
30.000.000 12.685.600
17.314.400 17.314.400
Lampiran 11. Total Biaya, Produksi, Penerimaan dan Pendapatan, Pendapatan Keluarga Petani Petani Kedelai Di Desa Tanjung Jati, Kecamatan Binjai, Kabupaten Langkat Sambungan
No. Responden
Luas Lahan
Ha Produksi Kg
Total Penerimaan Rp Total Biaya Rp
Pendapatan Rp Pendapatan
Keluarga Rp
23 1.5
3000 36.000.000
10.410.167 25.589.833
25.639.833 24
0.88 1760
14.080.000 5.394.150
8.685.850 9.285.850
25 1
3000 36.000.000
73.836.667 28.616.333
28.816.333 26
3 7500
90.000.000 19.327.500
70.672.500 70.672.500
27 1.5
3750 30.000.000
9.218.450 20.781.550
20.951.550 28
1 1000
15.000.000 5.661.500
9.338.500 9.788.500
29 1.5
3000 24.000.000
8.847.800 15.152.200
15.252.200 30
1 1500
22.500.000 6.250.633
16.249.367 16.349.367
Jumlah 100660
1.249.980.000 303.397.600
946.582.400 954.692.400
Rata-RataPetani 3355,33
41.666.000 10.113.253
31.552.747 31.823.080
Rata-RataHa 2342,02
29.082.829 7.059.041
22.023.788 22.212.480
Lampiran 12. Hasil SPSS Uji Asumsi Klasik Uji Normalitas Sig 0,05
Autokorelasi DW
Multikolineritas Tolerance 0,100, VIF 10
Heteroskedisitas Titik Berpencar
Lampiran 13. Hasil Output Efisiensi Teknik Menggunakan Software Frontier 4.1c
Output from the program FRONTIER Version 4.1c instruction file = terminal
data file = efisiensi teknis.txt Error Components Frontier see BC 1992
The model is a production function The dependent variable is logged
the ols estimates are : coefficient standard-error t-ratio
beta 0 0.56065628E+01 0.49017143E+00 0.11437963E+02 beta 1 0.60707393E+00 0.14621545E+00 0.41519137E+01
beta 2 0.36580946E-01 0.11267351E+00 0.32466323E+00 beta 3 0.15528133E+00 0.43687413E-01 0.35543724E+01
beta 4 0.10918096E+00 0.94520403E-01 0.11551047E+01 beta 5 0.20867464E+00 0.99318324E-01 0.21010689E+01
sigma-squared 0.40291002E-01 log likelihood function = 0.89534045E+01
the estimates after the grid search were : beta 0 0.58286565E+01
beta 1 0.60707393E+00 beta 2 0.36580946E-01
beta 3 0.15528133E+00 beta 4 0.10918096E+00
beta 5 0.20867464E+00 sigma-squared 0.81558425E-01
gamma 0.95000000E+00 mu is restricted to be zero
eta is restricted to be zero iteration = 0 func evals = 20 llf = 0.12019317E+02
0.58286565E+01 0.60707393E+00 0.36580946E-01 0.15528133E+00 0.10918096E+00 0.20867464E+00 0.81558425E-01 0.95000000E+00
gradient step iteration = 5 func evals = 41 llf = 0.14165415E+02
0.58544299E+01 0.57512464E+00 0.41129988E-01 0.15363438E+00 0.90196231E-01 0.20108769E+00 0.70133874E-01 0.98651022E+00
iteration = 10 func evals = 60 llf = 0.15699250E+02 0.61548833E+01 0.65055118E+00 0.38533862E-01 0.14292752E+00 0.64344143E-01
0.15222925E+00 0.68943092E-01 0.99999999E+00 pt better than entering pt cannot be found
iteration = 14 func evals = 101 llf = 0.17091136E+02 0.62361937E+01 0.68725067E+00 0.15082351E-01 0.15403587E+00 0.67538518E-01
0.12728019E+00 0.68844300E-01 0.99999999E+00 the final mle estimates are :
coefficient standard-error t-ratio
beta 0 0.62361937E+01 0.35577672E+00 0.17528391E+02 beta 1 0.68725067E+00 0.13398493E+00 0.51293133E+01
beta 2 0.15082351E-01 0.82686253E-01 0.18240458E+00 beta 3 0.15403587E+00 0.35627896E-01 0.43234626E+01
beta 4 0.67538518E-01 0.60432300E-01 0.11175897E+01 beta 5 0.12728019E+00 0.88786824E-01 0.14335482E+01
sigma-squared 0.68844300E-01 0.13389386E-01 0.51417071E+01 gamma 0.99999999E+00 0.15517054E-03 0.64445220E+04
mu is restricted to be zero eta is restricted to be zero
log likelihood function = 0.17091136E+02 LR test of the one-sided error = 0.16275462E+02
with number of restrictions = 1 [note that this statistic has a mixed chi-square distribution]
number of iterations = 14 maximum number of iterations set at : 100
number of cross-sections = 30 number of time periods = 1
total number of observations = 30 thus there are: 0 obsns not in the panel
covariance matrix : 0.12657708E+00 0.41621915E-01 -0.23775556E-01 0.85053282E-02 -0.60446277E-03
-0.29562317E-01 -0.37311939E-02 -0.30369565E-05 0.41621915E-01 0.17951961E-01 -0.82003441E-02 0.40155469E-02 -0.26640138E-02
-0.10783508E-01 -0.12686729E-02 -0.15514634E-05 -0.23775556E-01 -0.82003441E-02 0.68370164E-02 -0.25205998E-02 -0.15028918E-02
0.55915356E-02 0.67303205E-03 0.97909665E-06 0.85053282E-02 0.40155469E-02 -0.25205998E-02 0.12693470E-02 0.21483750E-04
-0.24463455E-02 -0.26891178E-03 -0.40309120E-06 -0.60446277E-03 -0.26640138E-02 -0.15028918E-02 0.21483750E-04 0.36520629E-02
0.12433257E-03 0.10180059E-03 -0.23496085E-06 -0.29562317E-01 -0.10783508E-01 0.55915356E-02 -0.24463455E-02 0.12433257E-03
0.78831002E-02 0.87255171E-03 0.93349376E-06 -0.37311939E-02 -0.12686729E-02 0.67303205E-03 -0.26891178E-03 0.10180059E-03
0.87255171E-03 0.17927565E-03 0.79661835E-07 -0.30369565E-05 -0.15514634E-05 0.97909665E-06 -0.40309120E-06 -0.23496085E-06
0.93349376E-06 0.79661835E-07 0.24077898E-07 technical efficiency estimates :
firm eff.-est. 1 0.76213311E+00
2 0.96154950E+00 3 0.80865470E+00
4 0.98457734E+00 5 0.92014849E+00
6 0.81430920E+00
7 0.84578898E+00 8 0.92542823E+00
9 0.86909617E+00 10 0.86375744E+00
11 0.97185924E+00 12 0.77999786E+00
13 0.75819490E+00 14 0.39416674E+00
15 0.80079258E+00 16 0.96262314E+00
17 0.76418842E+00 18 0.63069822E+00
19 0.84215818E+00 20 0.93335199E+00
21 0.76505490E+00 22 0.80654861E+00
23 0.95665158E+00 24 0.77452226E+00
25 0.98628087E+00 26 0.89844834E+00
27 0.98160532E+00 28 0.53251006E+00
29 0.99982914E+00 30 0.85193191E+00
mean efficiency = 0.83822858E+00
Lampiran 14. Hasil Output Efisiensi Harga Menggunakan Software Frontier 4.1c
instruction file = terminal data file = efisiensi harga.txt
Error Components Frontier see BC 1992 The model is a cost function
The dependent variable is logged the ols estimates are :
coefficient standard-error t-ratio beta 0 0.16074299E+01 0.12824842E+01 0.12533721E+01
beta 1 0.94887515E+00 0.69063410E+00 0.13739188E+01 beta 2 0.33239170E+00 0.25625857E+00 0.12970949E+01
beta 3 0.19398987E+00 0.29932461E+00 0.64809196E+00 beta 4 -0.14499379E-01 0.24487573E+00 -0.59211171E-01
beta 5 -0.32026797E+00 0.49017438E+00 -0.65337557E+00 sigma-squared 0.13262682E+00
log likelihood function = -0.89177625E+01 the estimates after the grid search were :
beta 0 0.12626434E+01 beta 1 0.94887515E+00
beta 2 0.33239170E+00 beta 3 0.19398987E+00
beta 4 -0.14499379E-01 beta 5 -0.32026797E+00
sigma-squared 0.22497923E+00 gamma 0.83000000E+00
mu is restricted to be zero eta is restricted to be zero
iteration = 0 func evals = 20 llf = -0.86066199E+01 0.12626434E+01 0.94887515E+00 0.33239170E+00 0.19398987E+00-0.14499379E-01
-0.32026797E+00 0.22497923E+00 0.83000000E+00 gradient step
iteration = 5 func evals = 56 llf = -0.82409001E+01 0.53974251E+00 0.83960540E+00 0.34175059E+00 0.71302809E-01 0.21242479E-01
-0.10288933E+00 0.23385726E+00 0.87595063E+00 iteration = 10 func evals = 79 llf = -0.82371667E+01
0.53835047E+00 0.83884416E+00 0.34199854E+00 0.70991755E-01 0.20657572E-01 -0.10174789E+00 0.23431797E+00 0.87725377E+00
iteration = 15 func evals = 100 llf = -0.82370192E+01 0.53831760E+00 0.83882243E+00 0.34200561E+00 0.70982739E-01 0.20640963E-01
-0.10168443E+00 0.23433121E+00 0.87729124E+00 iteration = 20 func evals = 124 llf = -0.82368733E+01
0.53823819E+00 0.83876979E+00 0.34202274E+00 0.70960883E-01 0.20600733E-01 -0.10162097E+00 0.23436329E+00 0.87738204E+00
iteration = 25 func evals = 145 llf = -0.82367289E+01 0.53820642E+00 0.83874858E+00 0.34202964E+00 0.70952071E-01 0.20584536E-01
-0.10155872E+00 0.23437621E+00 0.87741862E+00 iteration = 30 func evals = 169 llf = -0.82365862E+01
0.53812910E+00 0.83869681E+00 0.34204648E+00 0.70930545E-01 0.20544997E-01 -0.10149650E+00 0.23440777E+00 0.87750797E+00
iteration = 35 func evals = 190 llf = -0.82364449E+01 0.53809838E+00 0.83867610E+00 0.34205322E+00 0.70921927E-01 0.20529190E-01
-0.10143540E+00 0.23442041E+00 0.87754373E+00 iteration = 40 func evals = 214 llf = -0.82363052E+01
0.53802303E+00 0.83862516E+00 0.34206979E+00 0.70900714E-01 0.20490307E-01 -0.10137437E+00 0.23445148E+00 0.87763170E+00
iteration = 45 func evals = 235 llf = -0.82361668E+01 0.53799330E+00 0.83860493E+00 0.34207637E+00 0.70892279E-01 0.20474868E-01
-0.10131435E+00 0.23446383E+00 0.87766667E+00 iteration = 50 func evals = 259 llf = -0.82360299E+01
0.53791984E+00 0.83855478E+00 0.34209268E+00 0.70871362E-01 0.20436610E-01 -0.10125444E+00 0.23449445E+00 0.87775334E+00
iteration = 55 func evals = 280 llf = -0.82358943E+01 0.53789105E+00 0.83853499E+00 0.34209911E+00 0.70863101E-01 0.20421520E-01
-0.10119546E+00 0.23450654E+00 0.87778756E+00 iteration = 60 func evals = 304 llf = -0.82357601E+01
0.53781939E+00 0.83848559E+00 0.34211518E+00 0.70842467E-01 0.20383857E-01 -0.10113660E+00 0.23453671E+00 0.87787299E+00
iteration = 65 func evals = 325 llf = -0.82356271E+01 0.53779149E+00 0.83846623E+00 0.34212147E+00 0.70834371E-01 0.20369100E-01
-0.10107861E+00 0.23454855E+00 0.87790650E+00 iteration = 70 func evals = 349 llf = -0.82354955E+01
0.53772155E+00 0.83841754E+00 0.34213730E+00 0.70814006E-01 0.20332005E-01 -0.10102077E+00 0.23457830E+00 0.87799075E+00
iteration = 75 func evals = 370 llf = -0.82353650E+01 0.53769450E+00 0.83839859E+00 0.34214346E+00 0.70806067E-01 0.20317565E-01
-0.10096372E+00 0.23458990E+00 0.87802357E+00 iteration = 80 func evals = 394 llf = -0.82352358E+01
0.53762622E+00 0.83835059E+00 0.34215907E+00 0.70785959E-01 0.20281014E-01 -0.10090685E+00 0.23461925E+00 0.87810670E+00
iteration = 85 func evals = 415 llf = -0.82351078E+01
0.53759997E+00 0.83833202E+00 0.34216510E+00 0.70778170E-01 0.20266876E-01 -0.10085071E+00 0.23463062E+00 0.87813887E+00
iteration = 90 func evals = 439 llf = -0.82349810E+01 0.53753327E+00 0.83828468E+00 0.34218049E+00 0.70758308E-01 0.20230845E-01
-0.10079475E+00 0.23465959E+00 0.87822091E+00 iteration = 95 func evals = 460 llf = -0.82348553E+01
0.53750780E+00 0.83826648E+00 0.34218641E+00 0.70750664E-01 0.20216997E-01 -0.10073948E+00 0.23467074E+00 0.87825247E+00
maximum number of iterations reached iteration = 100 func evals = 484 llf = -0.82347307E+01
0.53744262E+00 0.83821977E+00 0.34220159E+00 0.70731037E-01 0.20181466E-01 -0.10068441E+00 0.23469934E+00 0.87833347E+00
the final mle estimates are : coefficient standard-error t-ratio
beta 0 0.53744262E+00 0.26795313E+01 0.20057337E+00 beta 1 0.83821977E+00 0.79318117E+00 0.10567822E+01
beta 2 0.34220159E+00 0.20719923E+00 0.16515582E+01 beta 3 0.70731037E-01 0.61756524E+00 0.11453209E+00
beta 4 0.20181466E-01 0.42613186E+00 0.47359673E-01 beta 5 -0.10068441E+00 0.66608439E+00 -0.15115864E+00
sigma-squared 0.23469934E+00 0.14807273E+00 0.15850274E+01 gamma 0.87833347E+00 0.19485585E+00 0.45076063E+01
mu is restricted to be zero eta is restricted to be zero
log likelihood function = -0.82347555E+01 LR test of the one-sided error = 0.13660141E+01
with number of restrictions = 1 [note that this statistic has a mixed chi-square distribution]
number of iterations = 100 maximum number of iterations set at : 100
number of cross-sections = 30 number of time periods = 1
total number of observations = 30 thus there are: 0 obsns not in the panel
covariance matrix : 0.71798882E+01 -0.11614384E+01 0.41877648E+00 -0.39901322E+00 -
0.79065327E+00 0.12022259E+01 0.73717858E+00 0.21461082E+01
-0.11614384E+01 0.62913637E+00 -0.83732398E-01 -0.33822338E+00 - 0.28879772E+00
0.10289305E+00 0.64466978E-01 0.20140934E+00 0.41877648E+00 -0.83732398E-01 0.42931520E-01 0.67045240E-01 0.44658718E-01
-0.79681711E-01 -0.39137057E-01 -0.11685881E+00 -0.39901322E+00 -0.33822338E+00 0.67045240E-01 0.38138682E+00 -
0.20412354E+00
0.12401910E+00 -0.88796786E-01 -0.19179561E+00 -0.79065327E+00 -0.28879772E+00 0.44658718E-01 -0.20412354E+00
0.18158836E+00 0.28901567E+00 0.19496248E+00 0.52474118E+00
0.12022259E+01 0.10289305E+00 -0.79681711E-01 0.12401910E+00 0.28901567E+00
0.44366842E+00 -0.16198750E+00 -0.50309932E+00 0.73717858E+00 0.64466978E-01 -0.39137057E-01 -0.88796786E-01 0.19496248E+00
-0.16198750E+00 0.21925534E-01 0.18359138E-01 0.21461082E+01 0.20140934E+00 -0.11685881E+00 -0.19179561E+00
0.52474118E+00 -0.50309932E+00 0.18359138E-01 0.37968804E-01
cost efficiency estimates : firm eff.-est.
1 0.16311839E+01 2 0.18598463E+01
3 0.11695080E+01 4 0.18123803E+01
5 0.27929151E+01 6 0.15708640E+01
7 0.19809508E+01 8 0.11114015E+01
9 0.16469486E+01 10 0.17117942E+01
11 0.12942378E+01 12 0.15179789E+01
13 0.13752812E+01 14 0.11062092E+01
15 0.12096833E+01 16 0.28112065E+01
17 0.16136098E+01 18 0.10915862E+01
19 0.13659822E+01 20 0.12937897E+01
21 0.12607319E+01 22 0.12055178E+01
23 0.12882960E+01 24 0.11580325E+01
25 0.18938863E+01 26 0.16425996E+01
27 0.11506342E+01 28 0.11474379E+01
29 0.12611847E+01 30 0.13079645E+01
mean efficiency = 0.15094548E+01
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BAB III METODE PENELITIAN
3.1 Metode Penentuan Daerah Penelitian
