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TOPLAM FAKTÖR VERİMLİLİĞİNİN BĐR BİLESENİ OLARAK TEKNİK ETKİNLİK: STOKASTİK ÜRETİM SINIRI YAKLASIMI İLE TÜRKİYE ÖZEL İMALAT SANAYİ ÜZERİNE AMPİRİK BİR ÇALISMA

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Author NameUniversity of AuthorFaculty of Author
Abstract (2. Language): 
When we talk about productivity, we refer to total factor productivity which is a productivity measure including all production factors. According to Solow residual approach, the unique source of total factor productivity is technical progress. In this study, technical efficiency as a source of total factor productivity growth, is estimated by means of stochastic production frontier approach with cross-sectional data in Turkish private manufacturing industries at three-digit level. In 1985 and 1990, the vast majority of variations in the growth rate of residual are clarified by technical inefficiency. In 1995, these variations are clarified by random effects.
Abstract (Original Language): 
Bir üretim biriminin verimliliğinden anlasılan tüm üretim faktörlerinin verimliliğini kapsayan toplam faktör verimliliğidir. Solow’un artık yaklasımına göre toplam faktör verimliliğinin tek kaynağı teknik ilerlemedir. Bu çalısmada, Türkiye özel imalat sanayi üçlü ana iktisadi faaliyet kollarında toplam faktör verimliliğinin kaynağı olarak teknik etkinlik, stokastik üretim sınırı yaklasımı ile kesit veri kullanılarak tahmin edilmektedir. 1985 ve 1990 yıllarında, artıktaki değisimlerin çok büyük bir bölümünü teknik etkinsizlik açıklamaktadır. 1995 yılında ise bu değisimler, rastlantısal etkiler tarafından açıklanmaktadır.
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REFERENCES

References: 

AFRIAT, S.N; (1972), “Efficiency Estimation
of Production Functions,” International Economic
Review, 13(3), pp. 568-598.
AIGNER, D.J. and S.F. CHU; (1968), “On
Estimating the Industry Production Function,”
American Economic Review, 58(4), pp. 826-839.
AIGNER, D.J., C.A.K. LOVELL and P.
SCHMIDT; (1977), “Formulation and Estimation of
Stochastic Frontier Production Function Models,”
Journal of Econometrics, 6(1), pp. 21-37.
BATTESE, G.E. and G.S. CORRA; (1977),
“Estimation of a Production Frontier Model: With
Application to the Pastoral Zone of Eastern Australia”,
Australian Journal of Agricultural Economics,
21(3), pp. 169-179.
CHARNES, A., W.W. COOPER, Arie Y.
LEWIN and Lawrance M. SEIFORD; (1994), Data
Envelopmnet Analysis: Theory, Methodology and
Application, Kluwer Academic Publishers, Dordrecht,
528p.
CHARNES, A., W.W. COOPER and E.
RHODES; (1978), “Measuring the Efficiency of
Decision Making Units,” European Journal of
Operational Research, 2(6), 1978, pp. 429-444.
COELLI, T.J., D.S.P. RAO and G.E.
BATTESE; (1998), An Introduction to Efficiency
and Productivity Analysis, Kluwer Academic
Publishers, Dordrecht, 275p.
FARRELL, M.J; (1957), “The Measurement of
Productive Efficiency,” Journal of the Royal
Statistical Society Series A (General), Part 3, pp. 253-
281.
FARRELL, M.J and M. FIELDHOUSE; (1962),
“Estimating Efficient Production Under Increasing
Returns to Scale,” Journal of the Royal Statistical
Society A, 125(2), pp. 252-267.
FØRSUND, Finn R. and E.S. JANSEN; (1977),
“On Estimating Average and Best Practice Homothetic
Production Functions via Cost Functions,”
International Economic Review, 18(2), pp. 463-467.
GREENE, W.H; (1990), “A gamma-distributed
stochastic frontier model”, Journal of Econometrics,
46(1-2), ss. 141-163.
GREENE, W.H; (1993), “The Econometric
Approach to Efficiency Analysis,” iç. Harold O.
FRIED, C.A. Knox LOVELL, Shelton S. SCHMIDT AFRIAT, S.N; (1972), “Efficiency Estimation
of Production Functions,” International Economic
Review, 13(3), pp. 568-598.
AIGNER, D.J. and S.F. CHU; (1968), “On
Estimating the Industry Production Function,”
American Economic Review, 58(4), pp. 826-839.
AIGNER, D.J., C.A.K. LOVELL and P.
SCHMIDT; (1977), “Formulation and Estimation of
Stochastic Frontier Production Function Models,”
Journal of Econometrics, 6(1), pp. 21-37.
BATTESE, G.E. and G.S. CORRA; (1977),
“Estimation of a Production Frontier Model: With
Application to the Pastoral Zone of Eastern Australia”,
Australian Journal of Agricultural Economics,
21(3), pp. 169-179.
CHARNES, A., W.W. COOPER, Arie Y.
LEWIN and Lawrance M. SEIFORD; (1994), Data
Envelopmnet Analysis: Theory, Methodology and
Application, Kluwer Academic Publishers, Dordrecht,
528p.
CHARNES, A., W.W. COOPER and E.
RHODES; (1978), “Measuring the Efficiency of
Decision Making Units,” European Journal of
Operational Research, 2(6), 1978, pp. 429-444.
COELLI, T.J., D.S.P. RAO and G.E.
BATTESE; (1998), An Introduction to Efficiency
and Productivity Analysis, Kluwer Academic
Publishers, Dordrecht, 275p.
FARRELL, M.J; (1957), “The Measurement of
Productive Efficiency,” Journal of the Royal
Statistical Society Series A (General), Part 3, pp. 253-
281.
FARRELL, M.J and M. FIELDHOUSE; (1962),
“Estimating Efficient Production Under Increasing
Returns to Scale,” Journal of the Royal Statistical
Society A, 125(2), pp. 252-267.
FØRSUND, Finn R. and E.S. JANSEN; (1977),
“On Estimating Average and Best Practice Homothetic
Production Functions via Cost Functions,”
International Economic Review, 18(2), pp. 463-467.
GREENE, W.H; (1990), “A gamma-distributed
stochastic frontier model”, Journal of Econometrics,
46(1-2), ss. 141-163.
GREENE, W.H; (1993), “The Econometric
Approach to Efficiency Analysis,” iç. Harold O.
FRIED, C.A. Knox LOVELL, Shelton S. SCHMIDT (Ed.), The Measurement of Productive Efficiency:
Techniques and Applications, Oxford University
Press, New York, pp. 68-119.
JONDROW, J., C.A. Knox LOVELL, Ivan S.
MATEROV and P. SCHMIDT; (1982), “On the
Estimation of Technical Inefficiency in the Stochastic
Frontier Production Function Model,” Journal of
Econometrics, 19(2-3), pp. 233-238.
KUMBHAKAR, Subal C., and C.A. Knox
LOVELL; (2003), Stochastic Frontier Analysis,
Cambridge University Press, New York, 333p.
LOVELL, C.A. Knox; (1993), “Production
Frontiers and Productive Efficiency,” iç. Harold O.
FRIED, C.A. Knox LOVELL, Shelton S. SCHMIDT
(Ed.), The Measurement of Productive Efficiency:
Techniques and Applications, Oxford University
Press, New York, pp. 3-67.
MEESUSEN, W. and van den BROECK;
(1977), “Efficiency Estimation from Cobb-Douglas
Production Functions with Composed Error,
International Economic Review, 18(2), pp. 435-444.
RICHMOND, J; (1974), “Estimating the
Efficiency of Production,” International Economic
Review, 15(2), pp. 515-521.
SEITZ, W.D; (1971), “Productive Efficiency in
the Steam-Electric Generating Industry,” Journal
Political Economy, 79(4), pp. 878-886.
SOLOW, Robert, M; (1957) “Technical Change
and the Aggregate Production Function,” Review of
Economics and Statistics, Vol. 39(3), pp. 312-320.
(Çevrimiçi): http://www.uq.edu.au/economics/
cepa/frontier.htm Erisim Tarihi: 08.02.2011
Tablo 4. Özel Đmalat Sanayi ISIC. REV.2 Sınıflaması
(1968)
SANAYĐ KOLU
ISIC. REV. 2
KODU
Gıda Ürünleri Đmalatı 311
Baska Yerde Sınıflandırılmamıs Gıda Ürünleri Đmalatı 312
Đçecek Đmalatı 313
Tütün Ürünleri Đmalatı 314
Tekstil Ürünleri Đmalatı 321
Ayakkabı Hariç, Giyim Esyası Đmalatı 322
Ayakkabı ve Giyim Esyası Hariç, Deri ve Deri Mamülleri ile Kürk
Đmalatı
323
Plastik Ayakkabı ve Kauçuk Hariç, Ayakkabı Đmalatı 324
Mobilya Hariç, Ağaç ve Ağaç Ürünleri ile Mantar Ürünleri Đmalatı 331
Demir Aksamlı Hariç, Mobilya ve Aksesuarları Đmalatı 332
Kağıt ve Kağıt Ürünleri Đmalatı
341
Basım, Yayın ve Đlgili Hizmet Faaliyetleri
342
Kimyasal Ürünler Đmalatı
351
Diğer Kimyasal Ürünler Đmalatı
352
Kauçuk Ürünleri Đmalatı 355
Çömlek, Porselen ve Toprak Kap Đmalatı 361
Metalik Olmayan Mineral Ürünler Đmalatı 369
Ana Demir ve Çelik Đmalatı 371
Makine ve Teçhizat Hariç, Fabrikasyon Metal Ürünleri Đmalatı 381
Elektrikli Makineler Hariç, Makine Đmalatı 382
Elektrikli Makine ve Teçhizatın Parçaları ve Aksesuarları Đmalatı 383
Nakliye Ekipmanları Đmalatı 384
TABLO 5. TEKNĐK ETKĐNLĐK SKORLARI
ISIC Rev.2 Kodu % (1985) % (1990)
% Ortalama (1985
ve 1990)
311 50,7 96,7 70,0
312 63,9 37,1 48,7
313 88,8 97,7 93,1
314 99,9 89,9 94,8
321 38,3 39,9 39,1
322 19,1 35,6 26,1
323 33,2 13,2 20,9
324 24,5 33,3 28,6
331 24,3 34,5 29,0
332 19,3 35,9 26,3
341 71,4 93,6 81,7
342 65 93,6 78,0
351 94,3 99,4 96,8
352 99,9 99,7 99,8
355 73,8 92,5 82,6
361 51,1 37,4 43,7
369 69,8 37,9 51,4
371 91,5 95,4 93,4
381 41,1 37,4 39,2
382 39,9 38 38,9
383 90,4 38 58,6
384 53,5 99,7 73,0
% Ortalama 59,3 62,4 60,8

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