Nhân rộng mô hình đem lại hiệu quả kinh tế cho nông dân học tập và ứng dụng.
Trong giai đoạn hiện nay để chuyển dịch cơ cấu kinh tế thành công ngoài vấn đề kỹ thuật để có cây trồng, vật nuôi cho năng suất cao giá thành hạ, an toàn cho con người, môi trường thì cần chú ý đến việc quy hoạch vùng để tận dụng lợi thế của vùng tạo ra số lượng hàng hóa lớn và quan trọng nhất là làm sao đảm bảo giá đầu ra cao cho nông dân để họ có thể yên tâm sản xuất và mở rộng sản xuất.
TÀI LIỆU THAM KHẢO
1. Các báo cáo tình hình sản xuất nông nghiệp và kế hoạch phát triển cánh đồng 50 triệu đồng/ha/năm của huyện Bình Tân và hai xã (Thành Lợi và Tân Bình).
2. Nguyễn Quang Diệp (2005). Luận văn tốt nghiệp: “So sánh hiệu quả kinh tế giữa mô hình luân canh lúa mè với mô hình 2 vụ lúa ở nông trường sông Hậu”.
3.Từ điển Thuật ngữ kinh tế học (2001). NXB Từ điển Bách khoa Hà Nội. 4. Võ Thị Thanh Lộc (2001). Thống kê ứng dụng và dự báo trong kinh doanh và kinh tế. NXB Thống kê Thành Phố Hồ Chí Minh.
5. Trần Thanh Phong (2004). Excel ứng dụng trong kinh tế. Chương trình giảng dạy kinh tế Fulbright về kinh tế học ứng dụng cho chính sách công.
6. Battese, G. E., T. J. Coelli (1995), “A model for technical inefficiency effects in a stochastic frontier production function for panel data”, Empirical Economics, 20, 325-332.
7. Thông tin từ các trang Web: -http://www.bulletin.vnu.edu.vn
-http://www.baovietnam.vn/
PHẦN PHỤ LỤC
Phụ lục 1: Kết quả thống kê mô tả mô hình 3 vụ lúa Descriptive Statistics
N Minimum Maximum Mean DeviationStd. Tong so nhan khau
trong gia dinh 40 3,00 6,00 4,8000 0,82275
So nguoi trong tuoi lao
dong 40 2,00 6,00 3,7000 1,04268
So nguoi tham gia
SXNN 40 1,00 4,00 2,0750 0,65584
Dien tich dat nong
nghiep 40 0,20 2,50 0,9038 0,54929
Thoi gian tham gia tap
huan (gio/nam) 31 3,00 15,00 5,6129 3,26269
Thoi gian xem dai, doc
tai lieu (gio/nam) 40 50,00 150,00 85,0500 25,43967
Khoang cach tu nguon
nuoc den noi SX 40 1,00 50,00 10,3000 11,77612
Valid N (listwise) 40
Frequency Table
Trinh_do_hoc_van
Frequency Percent Valid Percent Cumulative Percent
Valid Cap 1 12 30,0 30,0 30,0 Cap 2 19 47,5 47,5 77,5 Cap 3 8 20,0 20,0 97,5 Dai hoc 1 2,5 2,5 100,0 Total 40 100,0 100,0 Vay_von_sx (adsbygoogle = window.adsbygoogle || []).push({});
Frequency Percent Valid Percent Cumulative Percent
Valid Khong 38 95,0 95,0 95,0
Co 2 5,0 5,0 100,0
Total 40 100,0 100,0
Tham_gia_tap_huan
Frequency Percent Valid Percent Cumulative Percent
Valid Khong 9 22,5 22,5 22,5
Co 31 77,5 77,5 100,0
Xem_dai_hoac_doc_tai_lieu
Frequency Percent Valid Percent Cumulative Percent
Valid Co 40 100,0 100,0 100,0
Phụ lục 2: Kết quả thống kê mô tả mô hình 2 lúa 1 đậu nành Descriptive Statistics
N Minimum Maximum Mean DeviationStd.
Tong so nhan khau 40 3.00 7.00 4.4500 1.01147
So nguoi trong tuoi lao
dong 40 2.00 6.00 3.4750 1.19802
So nguoi tham gia
SXNN 40 1.00 6.00 2.5500 0.93233
Dien tich 40 .15 2.00 .6100 0.45884
Thoi gian tap huan 29 3.00 16.00 6.1379 3.15916
Thoi gian xem dai, doc
tai lieu 39 26.00 160.00 83.6154 38.64523
Khoang cach tu nguon
nuoc den noi SX 40 1.00 200.00 24.9250 49.41576
Valid N (listwise) 40
Frequency Table
Trinh_do_hoc_van
Frequency Percent Valid Percent Cumulative Percent
Valid Cap 1 12 30.0 30.0 30.0
Cap 2 20 50.0 50.0 80.0 (adsbygoogle = window.adsbygoogle || []).push({});
Cap 3 8 20.0 20.0 100.0
Total 40 100.0 100.0
Vay_von_sx
Frequency Percent Valid Percent Cumulative Percent
Valid Khong 30 75.0 75.0 75.0
Co 10 25.0 25.0 100.0
Total 40 100.0 100.0
Tham_gia_tap_huan
Frequency Percent Valid Percent Cumulative Percent
Valid khong 11 27.5 27.5 27.5
co 29 72.5 72.5 100.0
Xem_dai_hoac_doc_tai_lieu
Frequency Percent Valid Percent Cumulative Percent
Valid khong 1 2.5 2.5 2.5
co 39 97.5 97.5 100.0
Total 40 100.0 100.0
Phụ lục 3: Kết quả chạy thống kê mô tả năng suất lúa của 2 mô hình Descriptive Statistics
N Minimum Maximum Mean Std. Deviation
Lúa ĐX (lúa màu) 40 4,80 9,20 8,26 0,72
Màu HT (lúa màu) 40 1,20 3,00 2,32 0,33
Lúa TĐ (lúa màu) 40 5,00 7,20 5,47 0,48
Lúa ĐX (3 lúa) 40 6,00 9,00 7,34 0,71
Lúa HT (3 lúa) 40 5,00 7,00 5,89 0,46
Lúa TĐ (3 lúa) 40 4,00 6,00 4,61 0,42
Valid N (listwise) 40
Phụ lục 4: Kết quả chạy mô hình 3 vụ lúa bằng chương trình Frontier 4.1
Output from the program FRONTIER (Version 4.1c) instruction file = md2-ins.txt
data file = md2-dta.txt
Tech. Eff. Effects Frontier (see B&C 1993) The model is a production function
The dependent variable is logged the ols estimates are : (adsbygoogle = window.adsbygoogle || []).push({});
coefficient standard-error t-ratio beta 0 0.80404455E+01 0.11680704E+01 0.68835283E+01 beta 1 0.62804035E+00 0.30790837E+00 0.20396989E+01 beta 2 -0.18550409E+00 0.33120840E+00 -0.56008268E+00 beta 3 0.54172050E+00 0.90662467E-01 0.59751352E+01 sigma-squared 0.18033206E-01
log likelihood function = 0.25660479E+02 the estimates after the grid search were : beta 0 0.80635453E+01 beta 1 0.62804035E+00 beta 2 -0.18550409E+00 beta 3 0.54172050E+00 delta 0 0.00000000E+00 delta 1 0.00000000E+00 delta 2 0.00000000E+00 delta 3 0.00000000E+00 delta 4 0.00000000E+00 delta 5 0.00000000E+00 delta 6 0.00000000E+00 delta 7 0.00000000E+00 sigma-squared 0.16763484E-01 gamma 0.50000000E-01
iteration = 0 func evals = 20 llf = 0.25653206E+02
0.80635453E+01 0.62804035E+00-0.18550409E+00 0.54172050E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.16763484E-01 0.50000000E-01
gradient step
iteration = 5 func evals = 48 llf = 0.25892697E+02
0.80635609E+01 0.62817721E+00-0.18543053E+00 0.54185396E+00-0.18983528E-02 0.65810736E-03-0.27670363E-02-0.76887557E-02 0.12432810E-02-0.21556122E-02
-0.18983528E-02 0.71493186E-03 0.17036376E-01 0.50140362E-01 iteration = 10 func evals = 68 llf = 0.26414403E+02
0.80856645E+01 0.60203142E+00-0.16077419E+00 0.55535644E+00-0.11486779E-01 0.10119284E-01-0.10186076E-01-0.14113504E-01 0.80033355E-01-0.99606420E-02
-0.11486779E-01 0.82975428E-03 0.16392974E-01 0.27211324E+00 iteration = 15 func evals = 122 llf = 0.29039251E+02
0.89472397E+01 0.67533171E+00-0.28215980E+00 0.55609271E+00 0.37596259E-01 0.27397613E-01-0.19373759E-01-0.10748924E+00 0.14690289E+00-0.31529913E-01 0.37596259E-01 0.19874661E-02 0.18042206E-01 0.74586594E+00
iteration = 20 func evals = 232 llf = 0.34787045E+02
0.98453529E+01 0.56290009E-01 0.32775885E+00 0.47379437E+00 0.17991958E+00 0.43315661E-01 0.55385713E-01-0.25000260E+00 0.13007787E-01-0.68385111E-02 0.17991958E+00 0.10575900E-02 0.10526980E-01 0.99999999E+00
pt better than entering pt cannot be found
iteration = 25 func evals = 294 llf = 0.35724308E+02
0.10037340E+02 0.68498079E-01 0.31059435E+00 0.44876377E+00 0.22242573E+00 0.35195683E-01 0.43634907E-01-0.27308027E+00-0.80680601E-02-0.38495743E-02 0.22242573E+00 0.83629875E-03 0.88946580E-02 0.99999999E+00
the final mle estimates are :
coefficient standard-error t-ratio beta 0 0.10037340E+02 0.10378635E+01 0.96711567E+01 beta 1 0.68498079E-01 0.23730909E+00 0.28864499E+01 beta 2 -0.31059435E+00 0.24332453E+00 -0.12764613E+01 beta 3 0.44876377E+00 0.74591137E-01 0.60163149E+01 delta 0 0.22242573E+00 0.71323679E-00 0.31185397E+00 delta 1 0.35195683E-01 0.32698183E-01 0.10763804E+01 delta 2 0.43634907E-01 0.31368988E-01 0.13910206E+01 delta 3 -0.27308027E+00 0.56679376E-01 -0.48179830E+01 delta 4 -0.80680601E-02 0.65602464E-01 -0.12298410E+01 delta 5 -0.38495743E-02 0.69183027E-02 -0.55643334E+01 delta 6 0.22242573E+00 0.71323679E-00 0.31185397E+00 delta 7 0.83629875E-03 0.13139662E-02 0.63646902E+00 sigma-squared 0.88946580E-02 0.31348472E-02 0.28373498E+01 gamma 0.99999999E+00 0.52045440E-02 0.19213979E+03 log likelihood function = 0.35724308E+02
LR test of the one-sided error = 0.20127658E+02 with number of restrictions = 9
[note that this statistic has a mixed chi-square distribution] number of iterations = 25
(maximum number of iterations set at : 100) number of cross-sections = 40
number of time periods = 1 total number of observations = 40
thus there are: 0 obsns not in the panel covariance matrix :
0.10771606E+01 -0.37212951E-01 -0.38811881E-01 0.48690148E-01 0.32563702E-01 -0.64849858E-02 -0.28361534E-02 -0.22015168E-01 0.35595753E-02 0.80923879E-03 0.32563702E-01 -0.22376775E-03 -0.11999879E-02 -0.86112123E-04
-0.27302613E-03 -0.63268963E-06 -0.31951141E-04 -0.17996528E-04
-0.38811881E-01 -0.54934423E-01 0.59206828E-01 -0.38331375E-02 -0.11576980E-02 0.73379706E-03 -0.12197826E-02 -0.95390739E-03 0.63836495E-02 -0.54227215E-03
-0.11576980E-02 0.12919735E-04 0.10249385E-03 0.25399730E-04
0.48690148E-01 -0.55405475E-03 -0.38331375E-02 0.55638378E-02 -0.15507259E-02 -0.20461523E-03 0.44370005E-03 0.12439459E-02 0.11429873E-02 -0.10553865E-03 -0.15507259E-02 0.14490094E-05 0.53542410E-05 -0.71511178E-05
0.32563702E-01 -0.27302613E-03 -0.11576980E-02 -0.15507259E-02 0.50870672E+00 -0.14185725E-03 -0.18371332E-02 -0.38363087E-02 -0.30503188E-02 0.26573033E-03 -0.49129328E+00 -0.64244822E-04 -0.69816453E-04 -0.13530401E-05
-0.64849858E-02 -0.28247112E-03 0.73379706E-03 -0.20461523E-03 -0.14185725E-03 0.10691712E-02 -0.19349172E-03 -0.14077530E-03 -0.26402632E-03 0.68105972E-04 (adsbygoogle = window.adsbygoogle || []).push({});
-0.14185725E-03 -0.15409717E-04 0.74294724E-05 0.64326221E-06
-0.28361534E-02 0.12361125E-02 -0.12197826E-02 0.44370005E-03 -0.18371332E-02 -0.19349172E-03 0.98401341E-03 0.95398487E-03 0.83239178E-03 0.10170337E-04 -0.18371332E-02 -0.47352812E-06 0.27737406E-04 0.26354368E-05
-0.22015168E-01 0.18674056E-02 -0.95390739E-03 0.12439459E-02 -0.38363087E-02 -0.14077530E-03 0.95398487E-03 0.32125517E-02 0.11385265E-02 -0.14635061E-03 -0.38363087E-02 0.16363191E-04 0.77847533E-04 -0.30672600E-05
0.35595753E-02 -0.67833634E-02 0.63836495E-02 0.11429873E-02 -0.30503188E-02 -0.26402632E-03 0.83239178E-03 0.11385265E-02 0.43036833E-02 -0.19470754E-03 -0.30503188E-02 0.12248612E-04 -0.36146879E-04 -0.14301965E-04
0.80923879E-03 0.51670002E-03 -0.54227215E-03 -0.10553865E-03 0.26573033E-03 0.68105972E-04 0.10170337E-04 -0.14635061E-03 -0.19470754E-03 0.47862912E-04 0.26573033E-03 -0.63934479E-05 0.68046863E-05 0.78234375E-06
0.32563702E-01 -0.27302613E-03 -0.11576980E-02 -0.15507259E-02 -0.49129328E+00 -0.14185725E-03 -0.18371332E-02 -0.38363087E-02 -0.30503188E-02 0.26573033E-03 0.50870672E+00 -0.64244822E-04 -0.69816453E-04 -0.13530401E-05
-0.22376775E-03 -0.63268963E-06 0.12919735E-04 0.14490094E-05 -0.64244822E-04 -0.15409717E-04 -0.47352812E-06 0.16363191E-04 0.12248612E-04 -0.63934479E-05 -0.64244822E-04 0.17265071E-05 -0.68270917E-06 0.44267724E-07
-0.11999879E-02 -0.31951141E-04 0.10249385E-03 0.53542410E-05 -0.69816453E-04 0.74294724E-05 0.27737406E-04 0.77847533E-04 -0.36146879E-04 0.68046863E-05
-0.69816453E-04 -0.68270917E-06 0.98272669E-05 0.53729075E-06
-0.86112123E-04 -0.17996528E-04 0.25399730E-04 -0.71511178E-05 -0.13530401E-05 0.64326221E-06 0.26354368E-05 -0.30672600E-05 -0.14301965E-04 0.78234375E-06
-0.13530401E-05 0.44267724E-07 0.53729075E-06 0.27087278E-04 technical efficiency estimates :
firm year eff.-est. 1 1 0.87352551E+00 2 1 0.60943441E+00 3 1 0.69208481E+00 4 1 0.84359853E+00 5 1 0.94363428E+00 6 1 0.91951132E+00 7 1 0.62496317E+00 8 1 0.65288992E+00 9 1 0.66681342E+00 10 1 0.74863879E+00 11 1 0.58373226E+00 12 1 0.75071211E+00 13 1 0.67202212E+00 14 1 0.99988984E+00 15 1 0.83695906E+00 16 1 0.64576950E+00 17 1 0.55127222E+00 18 1 0.67489984E+00 19 1 0.58662208E+00 20 1 0.69019101E+00 21 1 0.48161824E+00 22 1 0.52288905E+00 23 1 0.58851850E+00 24 1 0.75567432E+00 25 1 0.63446036E+00 26 1 0.56081565E+00 27 1 0.73465803E+00 28 1 0.51865465E+00 29 1 0.57607709E+00
31 1 0.68672050E+00 32 1 0.66628592E+00 33 1 0.69002332E+00 34 1 0.68759863E+00 35 1 0.50445451E+00 36 1 0.64649330E+00 37 1 0.64172881E+00 38 1 0.55531802E+00 39 1 0.69621912E+00 40 1 0.67760848E+00 mean efficiency = 0.67592416E+00
Phụ lục 5: Kết quả chạy mô hình 2 lúa 1 đậu nành bằng chương trình Frontier
Output from the program FRONTIER (Version 4.1c) instruction file = md1-ins.txt
data file = md1-dta.txt
Tech. Eff. Effects Frontier (see B&C 1993) The model is a production function
The dependent variable is logged the ols estimates are :
coefficient standard-error t-ratio beta 0 0.11568000E+05 0.21178900E+08 0.54620401E-03 beta 1 0.10624797E+01 0.19921689E+01 0.53332813E+00 beta 2 -0.10518750E+04 0.19249870E+07 -0.54643225E-03 beta 3 0.10517500E+04 0.19249870E+07 0.54636731E-03 sigma-squared 0.90831357E+01
log likelihood function = -0.98778720E+02 the estimates after the grid search were : beta 0 0.11571537E+05 beta 1 0.10624797E+01 beta 2 -0.10518750E+04 beta 3 0.10517500E+04 delta 0 0.00000000E+00 delta 1 0.00000000E+00 delta 2 0.00000000E+00 delta 3 0.00000000E+00 delta 4 0.00000000E+00 delta 5 0.00000000E+00 delta 6 0.00000000E+00 delta 7 0.00000000E+00 sigma-squared 0.20684693E+02 gamma 0.95000000E+00
iteration = 0 func evals = 20 llf = -0.82146632E+02
0.11571537E+05 0.10624797E+01-0.10518750E+04 0.10517500E+04 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.20684693E+02 0.95000000E+00
gradient step
pt better than entering pt cannot be found
iteration = 5 func evals = 138 llf = -0.24968816E+02
0.11571536E+05 0.10493878E+01-0.10518872E+04 0.10517465E+04-0.17955283E+02 -0.34918379E+02-0.46523716E+02-0.11571896E+02-0.13371495E+02-0.85869179E+02 -0.17451905E-02-0.15566349E+00 0.20684180E+02 0.99999999E+00
coefficient standard-error t-ratio beta 0 0.11571536E+05 0.99634439E+00 0.11613992E+05 beta 1 0.10493878E+01 0.69845912E+00 0.15024327E+01 beta 2 -0.10518872E+04 0.71851954E+00 -0.14639646E+04 beta 3 0.10517465E+04 0.75843982E+00 0.13867237E+04 delta 0 -0.17955283E+02 0.99964272E+00 -0.17961700E+02 delta 1 -0.34918379E+02 0.99922339E+00 -0.34945518E+02 delta 2 -0.46523716E+02 0.99720495E+00 -0.46654117E+02 delta 3 -0.11571896E+02 0.99987275E+00 -0.11573369E+02 delta 4 -0.13371495E+02 0.99995425E+00 -0.13372107E+02 delta 5 -0.85869179E+02 0.99845802E+00 -0.86001792E+02 delta 6 -0.17451905E+02 0.99979935E+00 -0.17455407E+02 delta 7 -0.15566349E+00 0.71106247E-01 -0.21891675E+01 sigma-squared 0.20684180E+02 0.99995815E+00 0.20685046E+02 gamma 0.99999999E+00 0.27461287E-05 0.36414899E+06 log likelihood function = -0.24968816E+02
LR test of the one-sided error = 0.14761981E+03 with number of restrictions = 9
[note that this statistic has a mixed chi-square distribution] number of iterations = 5
(maximum number of iterations set at : 100) number of cross-sections = 40 (adsbygoogle = window.adsbygoogle || []).push({});
number of time periods = 1 total number of observations = 40
thus there are: 0 obsns not in the panel covariance matrix :
0.99270214E+00 -0.31117785E-01 -0.42825397E-01 0.37466363E-01 -0.17715125E-02 -0.23767984E-02 -0.50301078E-02 -0.10364962E-02 -0.30508671E-03 0.61291534E-03 -0.12185434E-02 0.39420049E-03 -0.67391516E-03 0.28587026E-06
-0.31117785E-01 0.48784514E+00 -0.47958513E+00 -0.13722414E+00 0.78627422E-05 0.25404990E-05 0.14244059E-04 0.10205563E-05 0.62139382E-06 -0.31545953E-04 0.92114411E-05 -0.37280338E-03 -0.70083285E-03 -0.34137798E-07
-0.42825397E-01 -0.47958513E+00 0.51627033E+00 -0.12560377E-01 -0.44725367E-02 -0.60037898E-02 -0.12707161E-01 -0.26193357E-02 -0.76780179E-03 0.15519217E-02 -0.30719757E-02 0.11634487E-02 -0.22528034E-02 0.69639582E-06
0.37466363E-01 -0.13722414E+00 -0.12560377E-01 0.57523096E+00 0.15017820E-01 0.20145984E-01 0.42634587E-01 0.87842987E-02 0.25887927E-02 -0.51914341E-02 0.10334560E-01 -0.31735845E-02 0.51616785E-02 -0.24487774E-05
-0.17715125E-02 0.78627422E-05 -0.44725367E-02 0.15017820E-01 0.99928557E+00 -0.10400401E-02 -0.19960700E-02 -0.42646066E-03 -0.20014897E-03 -0.44596969E-03 -0.52953159E-03 -0.11584888E-01 -0.24306261E-03 0.63877304E-07
-0.23767984E-02 0.25404990E-05 -0.60037898E-02 0.20145984E-01 -0.10400401E-02 0.99844739E+00 -0.28883850E-02 -0.62404495E-03 -0.32845879E-03 -0.97807339E-03
-0.78957196E-03 -0.22445843E-01 -0.34938867E-03 0.89042924E-07
-0.50301078E-02 0.14244059E-04 -0.12707161E-01 0.42634587E-01 -0.19960700E-02 -0.28883850E-02 0.99441770E+00 -0.11891292E-02 -0.54322914E-03 -0.10990456E-02 -0.14718866E-02 -0.29885362E-01 -0.68219806E-03 0.18642793E-06
-0.10364962E-02 0.10205563E-05 -0.26193357E-02 0.87842987E-02 -0.42646066E-03 -0.62404495E-03 -0.11891292E-02 0.99974551E+00 -0.12286198E-03 -0.29423959E-03 -0.31797438E-03 -0.73955784E-02 -0.14512578E-03 0.39290026E-07
-0.30508671E-03 0.62139382E-06 -0.76780179E-03 0.25887927E-02 -0.20014897E-03 -0.32845879E-03 -0.54322914E-03 -0.12286198E-03 0.99990850E+00 -0.44073740E-03 -0.16606401E-03 -0.86012171E-02 -0.63463098E-04 0.10325291E-07
0.61291534E-03 -0.31545953E-04 0.15519217E-02 -0.51914341E-02 -0.44596969E-03 -0.97807339E-03 -0.10990456E-02 -0.29423959E-03 -0.44073740E-03 0.99691842E+00 -0.48950007E-03 -0.54798359E-01 -0.11305774E-03 -0.15596807E-07
-0.12185434E-02 0.92114411E-05 -0.30719757E-02 0.10334560E-01 -0.52953159E-03 -0.78957196E-03 -0.14718866E-02 -0.31797438E-03 -0.16606401E-03 -0.48950007E-03 0.99959875E+00 -0.11279962E-01 -0.17760828E-03 0.41303225E-07
0.39420049E-03 -0.37280338E-03 0.11634487E-02 -0.31735845E-02 -0.11584888E-01 -0.22445843E-01 -0.29885362E-01 -0.73955784E-02 -0.86012171E-02 -0.54798359E-01
-0.67391516E-03 -0.70083285E-03 -0.22528034E-02 0.51616785E-02 -0.24306261E-03 -0.34938867E-03 -0.68219806E-03 -0.14512578E-03 -0.63463098E-04 -0.11305774E-03 -0.17760828E-03 -0.32795772E-02 0.99991630E+00 0.41030991E-06
0.28587026E-06 -0.34137798E-07 0.69639582E-06 -0.24487774E-05 0.63877304E-07 0.89042924E-07 0.18642793E-06 0.39290026E-07 0.10325291E-07 -0.15596807E-07 0.41303225E-07 0.33155320E-07 0.41030991E-06 0.75412228E-11
technical efficiency estimates : firm year eff.-est. 1 1 0.85341004E+00 2 1 0.99881631E+00 3 1 0.88766609E+00 4 1 0.62908740E+00 5 1 0.77577465E+00 6 1 0.77286887E+00 7 1 0.73089163E+00 8 1 0.88597874E+00 9 1 0.69001095E+00 10 1 0.76585125E+00 11 1 0.90524474E+00 12 1 0.77460705E+00 13 1 0.72795744E+00 14 1 0.88210942E+00 15 1 0.76659670E+00 16 1 0.72613973E+00 17 1 0.73714955E+00 18 1 0.74076426E+00 19 1 0.82842013E+00 20 1 0.98317843E+00 21 1 0.99531985E+00 22 1 0.73330873E+00 23 1 0.81922860E+00 24 1 0.57743666E+00 25 1 0.73614038E+00 26 1 0.75513778E+00 27 1 0.58289648E+00 28 1 0.91878601E+00 29 1 0.77907152E+00 30 1 0.70850168E+00 31 1 0.55574434E+00 32 1 0.62057179E+00 33 1 0.68454904E+00 34 1 0.69222527E+00 35 1 0.97994742E+00 36 1 0.58347153E+00 37 1 0.75243728E+00 38 1 0.66056722E+00 39 1 0.87605400E+00 40 1 0.62819218E+00 mean efficiency = 0.76755278E+00
Phụ lục 6: Kết quả mô hình cơ bản 2 lúa 1 đậu nành Target Cell (Max)
Cell Name Original Value Final Value
$E$3 Hàm mục tiêu Tổng 0 10.568,605
Adjustable Cells
Cell Name Original Value Final Value
$B$2 Mức độ Diện tích ĐX 0 0,184
$C$2 Mức độ Diện tích HT 0 0,283
$D$2 Mức độ Diện tích TĐ 0 0,357
Constraints
Cell Name ValueCell Formula Status Slack
$E$4 Đất đai ĐX Tổng 0,184 $E$4<=$G$4 NotBinding 0,816
$E$5 Đất đai HT Tổng 0,283 $E$5<=$G$5 NotBinding 0,717 (adsbygoogle = window.adsbygoogle || []).push({});
$E$6 Đất đai TĐ Tổng 0,357 $E$6<=$G$6 NotBinding 0,643
$E$7 Lao động ĐX Tổng 3,868 $E$7<=$G$7 NotBinding 66,132 $E$8 Lao động HT Tổng 8,766 $E$8<=$G$8 NotBinding 61,234 $E$9 Lao động TĐ Tổng 8,214 $E$9<=$G$9 NotBinding 61,786 $E$10 Tiền mặt ĐX Tổng 2.000,000 $E$10<=$G$10 Binding 0,000
$E$11 Tiền mặt HT Tổng 0,000 $E$11<=$G$11 Binding 0,000
$E$12 Tiền mặt TĐ Tổng 0,000 $E$12<=$G$12 Binding 0,000
$B$2 Mức độ Diện tíchĐX 0,184 $B$2>=0 NotBinding 0,184
$C$2 Mức độ Diện tíchHT 0,283 $C$2>=0 NotBinding 0,283
Phụ lục 7: Phân tích độ nhạy cảm của mô hình cơ bản 2 lúa 1 đậu nành
Adjustable Cells
Final Reduced Objective Allowable Allowable
Cell Name Value Cost Coefficient Increase Decrease
$B$2 Mức độ Diệntích ĐX 0,184 0 22.866,890 1E+30 57.379,597
$C$2 Mức độ Diệntích HT 0,283 0 15.235,410 1E+30 22.481,393
$D$2 Mức độ Diệntích TĐ 0,357 0 5.737,090 1E+30 5.737,090