Science Alert
Curve Top
International Journal of Agricultural Research
  Year: 2008 | Volume: 3 | Issue: 4 | Page No.: 325-330
DOI: 10.3923/ijar.2008.325.330
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

Determining the Factors Affecting Efficiency Scores in Agriculture

Goksel Armagan

The determination of factors affecting efficiency level is important as well as the measurement efficiency. This study aims determining the extent by which conventional dummy variables such as age, education and experience can explain efficiency level, with logistic regression model in agricultural enterprises. Thus, efficiency scores of enterprises was calculated by using data envelopment analysis, as a first stage. Dependent variable is generally integrated to the analysis in binary form in the logistic regression model which is widely used. In an alternative use of the logistic regression model, the dependent variable is continuous, but this alternative offers limited range. The findings indicate that conventional dummy variables such as age, education and experience are not significant, but type of enterprise for all efficiency levels and scale of enterprise for only total efficiency level was found to be significant factors in explaining efficiency level in this case study.

PDF Fulltext XML References Citation Report Citation
  •    Efficiency Performance of Paddy Farming in East and West Coast of Peninsular Malaysia
  •    Performance Measurement of Two-Stage Production Systems with Undesirable Factors by Data Envelopment Analysis
  •    Estimation of Technical Efficiency for Share Contract of Producing Gum Arabic: Kordofan Gum Arabic Belt, Sudan
  •    Measurement of Allocative Efficiency in Agriculture and its Determinants: Evidence from Rural West Bengal, India
  •    Socio-economic Variables Associated with Poverty in Crude Oil Polluted Crop Farms in Rivers State, Nigeria
How to cite this article:

Goksel Armagan , 2008. Determining the Factors Affecting Efficiency Scores in Agriculture. International Journal of Agricultural Research, 3: 325-330.

DOI: 10.3923/ijar.2008.325.330






Curve Bottom