نتایج جستجو برای: and then stochastic frontier production and technical

تعداد نتایج: 16969943  

زیبایی, منصور , جعفری ثانی , مریم ,

While technical efficiencies of firms that are estimated with respect to a given frontier are comparable, this is not normally valid the case among firms that operate under different technologies. Such problem arises when comparisons of firms from different regions of country are involved. This study uses the concept of the metafrontier function to investigate regional differences in milk produ...

2000
Josep M. Argilés

This paper aims to estimate a translog stochastic frontier production function in the analysis of a panel of 150 mixed Catalan farms in the period 1989-1993, in order to attempt to measure and explain variation in technical inefficiency scores with a one-stage approach. The model uses gross value added as the output aggregate measure. Total employment, fixed capital, current assets, specific co...

A. Adeoye A. Carim-Sanni O.L Balogun R.J Akinlade S.A Yusuf

The study examines production efficiency of farmers under National Fadama-II Project in Oyo State Nigeria. Primary data were collected from two hundred and sixty-four farmers using multistage sampling technique. The analytical framework used for the study include: descriptive, infrastructure index, gross margin and stochastic frontier production function. Average infrastructural index in the ar...

ژورنال: علوم آب و خاک 2002
جواد ترکمانی, ,

The main objective of the present study is to investigate the production and marketing of fresh figs in Garmsar Region. Semnan Province has the largest area under fresh figs in Iran. About 84 percent of this area is in Garmsar region, hence, it was selected as the study area. Data were collected by random sampling method through interviews with a sample of 70 fresh fig producers in Garmsar regi...

جواد ترکمانی, ,

The main objective of the present study is to investigate the production and marketing of fresh figs in Garmsar Region. Semnan Province has the largest area under fresh figs in Iran. About 84 percent of this area is in Garmsar region, hence, it was selected as the study area. Data were collected by random sampling method through interviews with a sample of 70 fresh fig producers in Garmsar regi...

    Background: Assessment of hospitals’ performance in achieving its goals is a basic necessity. Measuring the efficiency of hospitals in order to boost resource productivity in healthcare organizations is extremely important. The aim of this study was to measure technical efficiency and determining status of resource allocation in some university hospitals, in Tehran, Iran.   Methods : This s...

GH.R GHodarzi M Bahrampor M Tohidi

Background & Aims: Hospitals are the most important centers that provide health services in the country. They have to use scientific and efficient management at all levels for promoting health. Intensive care units (ICU) are one of the most sensitive parts of the hospitals; therefore, paying attention to its efficiency is of particular importance. The purpose of this paper was to estimate the t...

Emeka Osuji Glory Ben-Chendo Melissa Okwara Nnamdi Ehirim Stephen Onyeagocha Ubon Essien,

Viable sweet potato production is hard to achieve with indiscriminate use of farm inputs, resulting to wastage and environmental damages, as consequences are common problems of arable crop farming in Abia State. Issues arising from farm input use and their corresponding implications for environment called for a study on suitable farming practices and farm-specific technical efficiency for optim...

2014

This study uses a generalized stochastic frontier framework to model a multiple-output rice production system and analyses farm-level technical inefficiency of rice farming in Assam, India. Primary data for this study was collected in 2009-2010 from 310 farm-households in four non-contiguous districts of Dhubri, Morigaon, Dibrugarh, and Cachar that are located in different agro-climatic regions...

2016
Audrey Laporte Adrian Rohit Dass

In panel stochastic frontier models, the Fixed Effects (FE) approach produces biased technical efficiency scores when time-invariant variables are important in the production process, and the Random Effects (RE) approach imposes distributional assumptions about the inefficiency. Moreover, technical efficiency scores obtained from these models are biased when the sample contains a large number o...

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