Buradasınız

Anasayfa » Content

TEKNİK ETKİNLİK ANALİZİNDE STOKASTİK SINIR YÖNTEMİ KULLANIMI ÜZERİNE BİR DEĞERLENDİRME

An Evaluation on Technical Efficiency Analysis Using Stochastic Frontier Method

Journal Name:

  • Hitit Üniversitesi Sosyal Bilimler Enstitüsü Dergisi

Publication Year:

  • 2012

Key Words:

Keywords (Original Language):

Author NameUniversity of AuthorFaculty of Author
Abstract (2. Language): 
In the most general sense, efficiency can be defined as to approach to optimum. In terms of functional forms in which economic relations generally described, efficiency can be defined as the rate of the approach to optimal values. Taking into consideration of the production function, we face the development of the efficiency concept. It is possible to put the efficiency concept into classifications like allocation or economical efficiency and technical efficiency. While allocation efficiency relates the main problem of the allocation of economical resources, it is not practical to use as opposed to technical efficiency. Technical efficiency, in this classification, can supply a powerful understructure for the performance measuring. That a production function implies also its production frontier constitutes also the critical points of the stochastic frontier method. Our study investigates and argues these conceptional relations to make a comprehensive sense of the stochastic frontier method. Carrying out this investigation, the study puts a call for further empirical and theoretical studies on the issue; on the other hand, it argues the possible handicaps of the method.
Bookmark/Search this post with
Abstract (Original Language): 
Etkinlik en geniş tanımıyla ideal seviyeye yaklaşma olarak tanımlanabilir. Ekonomiyi sayısallaştırırken kullanılan fonksiyonları dikkate alarak daha ayrıntıya girdiğimizde, etkinliği artık, fonksiyon olarak temsil edilebilen faaliyetlerde gözlenen değerlerin ideal değerlere yakınlık oranı olarak tanımlamak mümkün olur. Faaliyet olarak üretim faaliyetini ele aldığımızda etkinliğin iktisat içindeki günümüze kadar olan gelişimi ile yüz yüze geliriz. Etkinliği teknik etkinlik ile ekonomik veya tahsis etkinliği ayrımında ele almak mümkündür. Tahsis etkinliği, kaynak kullanımındaki etkinlik aracılığıyla ekonomi tanımının özüne atıf yapmasına karşın uygulamaya yatkın değilken, teknik etkinlik bu ayrımda fonksiyonel hesaplamaya yakınlığıyla uygulamalarda öne çıkmaktadır. Teknik etkinlik bu pratik özellikleriyle performans ölçümlerine yönelik kullanımlara bir altyapı sağlamaktadır. Teknik etkinlik tanımında kullanılan sınır fonksiyonun aynı zamanda üretim sınırını ima etmesi, stokastik sınır yöntemi için de çıkış noktasını oluşturur. Çalışmamızda, stokastik sınır yönteminin anlaşılmasını sağlamak için bu kavramsal ilişkiler incelenerek tespit edilen önemli noktalar tartışılmaktadır. Yöntemin öne çıkan özellikleri tanıtılmakla birlikte gelecekteki uygulamaları için çağrıda bulunulmakta; bunun yanında handikap oluşturabilecek özellikleri de araştırılmaktadır
FULL TEXT (PDF): 
PDF icon 7.6.pdf
  • 1
109-127
  • Turkish

REFERENCES

References: 

AFRIAT, S.N. (1972), “Efficiency estimation of production functions”, International Economic
Review,13, 568-598
AIGNER, D.J. ve Chu S. (1968), “On Estimating the Industry Production Function”, American
Economic Review, 58: 826-835.
AIGNER, D.J., Lovell, C.A.K. ve Schmidt, P. (1977), “Formulation and Estimation of Stochastic
Frontier Production Function Models”, Journal of Econometrics, 6, 21-37.
BATTESE, G.E. ve Coelli, T.J. (1988), “Prediction of Firm-Level Technical Efficiencies With a
Generalised Frontier Production Function and Panel Data”, Journal of Econometrics, 38,
387-399 BATTESE, G.E. ve Coelli, T.J. (1991), “Frontier Production Functions, Technical Efficiency And
Panel Data: With Application To Paddy Farmers In Indiaa”. Working Papers in Econometrics
and Applied Statistics. No.56, Department of Econometrics, University of New England,
Armidale.
BATTESE, G.E. ve Coelli, T.J. (1992), “Frontier Production Functions, Technical Efficiency and
Panel Data: With Application to Paddy Farmers in India”, Journal of Productivity Analysis,
3, 153-169.
BATTESE, G.E. ve Coelli, T.J. (1995), “A Model for Technical Inefficiency Effects in a Stochastic
Frontier Production Function for Panel Data”,Empirical Economics, 20, 325-332.
BATTESE, G.E. ve Corra, G.S. (1977), “Estimation of a Production Frontier Model: With
Application to the Pastoral Zone of Eastern Australia”, Australian Journal of Agricultural
Economics, 21, 169-179.
BAUER, P.W. (1990), “Recent Developments in the Econometric Estimation of Frontiers”, Journal
of Econometrics, 46, 39-56.
BERG, S.A., Forsund, F.R, Hjalmarsson, L. ve Suominen, M. (1993), “Banking Efficiency in the
Nordic Countries”. Journal of Banking & Finance.(17) 2-3, 371–388.
COELLI, T.J., Perelman, S. ve Romano, E. (1999), “Accounting for environmental influences in
stochastic frontier models: With application to international airlines”, Journal of
Productivity Analysis,11, 251-273.
CORNWELL, C., Schmidt, P. ve Sickles, R.C. (1990), “Production Frontiers with CrossSectional and Time-Series Variation in Efficiency Levels”, Journal of Econometrics, vol. 46,
185-200.
DAS, A., A. Nag, ve S.C. Ray (2009), “Labor-use Efficiency in Indian Banking: A Branch-level
Analysis”. Omega, 37 (2009) 411-425.
FÄRE, R. ve Lovell, C.A. (1978), “Measuring the Technical Efficiency of Production”, Journal of
Economic Theory, 19, 150-162.
FARREL, M. (1957), “The Measurement of Productive Efficiency”, Journal of the Royal Statistical
Society, A120: 253-81.
FRIED, H.O. , Lovell, C.A.K. ve Schmidt, P. (eds.), (1993), The Measurement of Productive Efficiency:
Techniques and Applications, Oxford University Press, Oxford.
GOOD, D.H., Nadiri, M.I. ve Sickles, R.C. (1991), “The structure of production, technical
change and efficiency in a mutinational industry: An application to U.S. airlines”,
National Bureau of Economic Research,NBER Workin Paper No:3939.
HUGHES, M.D. (1988), “A Stochastic Frontier Cost Function for Residential Child Care
Provision”, Journal of Applied Econometrics, 3, 203-214.
JONDROW, J., Lovell, C.A.K., Materov, I.S. ve Schmidt, P. (1982), “On estimation of Technical
Inefficiency in the Stochastic Frontier Production Function Model”, Journal of
Econometrics, 19, 233-238.
KENNEDY, P. (2008), A Guide to Econometrics,6th edition. Blackwell, Massachusets.
KUMBHAKAR, S.C. (1987), “Production Frontiers, Panel Data: An Application of U.S. Class 1
Railroad”, Journal of Business and Economic Statistics, 5 (2): 249-255. KUMBHAKAR, S.C. (1990), “Production frontiers, panel data and time-varying technical
inefficiency”, Journal of Econometricsl, 46:1/2 (October /November), 201-12.
LEE, R.D. (2012), “Economic Efficiency”. FEE-Foundation for Economical Education.
http://www.fee.org/the_freeman/detail/economic-efficiency/#axzz2F1VAFZw1. Erişim tarihi:
13/08/2012.
MARIN, P.L. (1995), “Productivity differences in the airline industury: Partial deregulation versus
short-run protection”, JEL Discussion Paper,No.EI/11, JEL Nos.:D24,L59,L23,L93.
MULATU, A. ve Crafts, N.F.R. (2005), “Efficiency among Private Railway Companies in a weakly
Regulated System: The Case of Britain's Railways in 1893-1912”, Working Paper No:
08/05, Department of Economic History, London School of Economics
(http://www.lse.ac.uk/collection/ economichistory/).
RAY, S.C. ve Mukherje, K. (1996), “Decomposition of the Fisher ideal index of productivity: A
non-parametric dual analysis of US Airlines Data, The Economic Journal, vol.106, no.439,
1659-1678.
RICHMOND, J. (1974), “Estimating the efficiency of production”, International Economic Rewiev,
15, 515-521.
SCHMIDT, P. (1976), “On the Statistical Estimation of Parametric Frontier Production
Functions”, The Rewiev of Economics and Statistics, vol.58, issue 2, 238-239.
SCHMIDT, P. ve Sickles R.C. (1984), “Production Frontiers and Panel Data”, Journal of Business &
Economic Statistics, vol. 2, No. 4, 367-374.
SICKLES, R.C. (1985), “A nonlinear multivariate error components analysis of technology and
specific factor productivity growth with an application to the U.S. airlines”, Journal of
Econometrics,27, 61-78.
SICKLES, R.C.,Good, D. ve Johnson, R.L. (1986), “Allocative distortions and the regulatory
transition of the U.S. airline industry”, Journal of Econometrics, 33, 143-163.
TIMMER, C. (1971), “Using a Probabilistic Frontier Production Function to Measure Technical
Efficiency”, Journal Of Political Economy, 79: 776-794.
WEINSTEIN, M.A. (1964), “The sum of values from a normal and truncated normal
distrubution”, Technometrics, 6, 104-105 and 469-470.

Thank you for copying data from http://www.arastirmax.com