Abstract :
One of the most important industries in the agricultural sector of
Iran is tomato processing industry. This industry also is important in Fars
Province. The objective was to study efficiency of firms in Fars province.
Data Envelopment Analysis was used for analyzing efficiency. Result
showed that by using 97801 million Rials of capital, 909 man per year of
labor, 56814 square meter of building and 225492 square meters of land
that respectively were 61.42%, 36.05%, 42.73% and 57.71% less than
current condition of using these resources,164 thousands tons of tomato
paste could be produced that was 1.66% greater than current production.
This is possible by technical changes and use of full capacity of tomato
paste industries. In this context, extending credit, subsidy and price
support for tomato and tomato paste producers are suggested. Design of
new tomato paste firms and corresponding costs could be analyzed by
using the approach proposed in this study.
References:
1- امامی میبدی ع. 1379. اصول انـدازهگیـری کـارایی و بهـرهوری (علمـی و کـاربردی). موسـسه
مطالعات و پژوهشهای بازرگانی، تهران.
2- بخشوده م. اکبری الف. 1375. اصول اقتصاد تولید محصولات کشاورزی. دانـشگاه شـهید بـاهنر
کرمان، کرمان.
3- زارع ش. 1376. بررسی اقتصادی تولید و بازاریابی انگور در استان فارس. پایاننامهی کارشناسی
ارشد، دانشکدهی کشاورزی، دانشگاه شیراز.
4- سازمان صنایع و معادن استان فارس. 1386. بانک اطلاعـات صـنایع اسـتان. سـازمان صـنایع و
معادن استان فارس.
5- فریادرس و. چیذری الف. ح. مرادی الف. 1381. اندازهگیری و مقایسه کارایی پنبهکـاران ایـران.
فصلنامه اقتصاد کشاورزی و توسعه، 89-101 :40 .
6- گمرک جمهوری اسلامی. 1386. آمار صادرات جمهوری اسلامی ایران، تهران.
7- هادیان الف. عظیمی حسینی الف. 1383. محاسبه کارایی نظام بانکی در ایران با استفاده از روش
تحلیل فراگیر دادهها (DEA). فصلنامه پژوهشهای اقتصادی ایران، 1-25 :20.
8- وزرات جهاد کشاورزی .1385.. پایگاه اینترنتی وزارت جهاد کشاورزی. www.agri-jahad.ir
9- Banker, R.D., A. Charnes and W.W. Cooper (1984). Some models
for estimatiog technical and scale inefficiency in data envelopment
analaysis. Management Science, 30, 1078-1092.
10- Charnes, A., W.W. Cooper, and E. Rhodes (1978). Measuring the
efficiency of decision making units. European Journal of Operations
Research, 2: 429-444.
11- Coelli, T., S. Rahman and C. Thirtle (2002). Technical , Allocation
,Cost and Scale Efficiencies in Bangladesh Rice Cultivation : A
Non- parametric Approach " , Journal of Agricultural Economics,
53(3): 607- 626.
12- Coelli, T.G. (1996). A Guide to DEAP Version 2.1, A Data
Envelopment Analysis (Computer Program), CEPA Working Paper,
96.08, Development of Economics, University of New England,
Acmidale, Australia.
13- Coelli, T.J. (1995). Recent developments in frontier modeling
and efficiency measurement. Australian Journal of Agricultural
Economics, 39: 219-245.
14- Farrel, M. J. (1957). The Measurement of Productive Efficiency.
Journal of Royal Statistical Society, 120, Series A., Part 3.
15- Kalaitzandonakes, N.G. and E.G. Dunn (1995). Technical
efficiency, managerial ability and farmer education in Guatemalan
corn production: a latent variable analysis. Agricultural and
Resource Economics Review, 24(1): 36-46.
16- Serrao, A. (2003). Agricultural Productivity Analysis of European
Union and Eastern Regions, American Agricultureral Economic
association, at: http://agecon.lib.umn.edu.
17- Sharma, K. R., L. Pingson and C. Hailiang (1999). Economic
efficiency and optimum stocking densities in fish polyculture: An
application of Data Envelopement Analysis (DEA) to Chinese fish
farmers. Aquaculture, 180: 3-4, 207-221.
18- Thiele, H. and C.M. Broderson (1997). Application of nonparametric
(DEA) to the efficiency of farm businesses in the east German
transformation process. Agrarwirtschaft, 46: 12, 407-416.