Measuring the technical efficiency of the cotton production: the stochastic frontier production function approach

2015 ◽  
Vol 11 (1) ◽  
pp. 53
Author(s):  
Gurprem Singh Bedi ◽  
Sukhjeet K. Saran ◽  
Taptej Singh
2012 ◽  
Vol 14 (3) ◽  
pp. 317-338 ◽  
Author(s):  
M. Abdul Majid Ikram ◽  
Andry Prasmuko ◽  
Donni Fajar Anugerah ◽  
Ina Nurmalia Kurniati

This paper analyzes the contributon of primary input; capital anda labor, on sectoral performance in Indonesia. The analysis cover sall sectors both in national and regional level, and also the dynamic of input efficiency across period. Using stochastic frontier production function approach, this paper found the aggregate share of capital is 0.20 and 0.34 for labor; conforming the dominance of labor. The highest three technical efficiency is Mining sector (88.65%), Manufacture (70.47%) and Financial (65.93%), while the lowest one is Electric, Gas and Water (25.38%).Keywords: efficiency, stochastic frontier, productivity, Indonesia.JEL Classification: D24, J24, O18


1999 ◽  
Vol 2 (1) ◽  
pp. 77-92 ◽  
Author(s):  
Mahendra Reddy ◽  
John F. Yanagida

Small developing countries have for long acquired significant benefits through preferential trading arrangements. However, these benefits have led to a proliferation of inefficient industries in the recipient countries. With the recent changes in the GAIT, these inefficient industries may close and thus lead to major economic and social problems in the recipient countries. This paper utilizes the frontier production function approach to examine the efficiency status of Fiji's sugar industry. The analysis reveals that a significant level of inefficiency exists at the farm level of Fiji's sugar industry. Some of the factors that were found to effect the level of efficiency are farming status, land class and ethnicity. These factors are then used to derive policy implications.


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