Analysis of factors affecting the technical efficiency of arabica coffee producers in Cameroon
AbstractThis study analyses the factors influencing the technical efficiency of arabica coffee farmers in Cameroon. To carry out this analysis, a translog stochastic production frontier function, in which technical inefficiency effects are specified to be functions of socioeconomic variables, is estimated using the maximum-likelihood method. The data used were collected from a sample of 140 farmers during the 2004 crop year. The results obtained show some increasing returns to scale in coffee production. The mean technical efficiency index is estimated at 0.896, and 32% of the farmers surveyed have technical efficiency indexes of less than 0.91. The analysis also reveals that the educational level of the farmer and access to credit are the major socioeconomic variables influencing the farmers’ technical efficiency. Finally, the findings prove that further productivity gains linked to the improvement of technical efficiency may still be realized in coffee production in Cameroon.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by African Economic Research Consortium in its series Research Papers with number RP_163.
Length: 46 pages
Date of creation: Jan 2007
Date of revision:
Technical efficiency; stochastic production frontier; arabica coffee; Cameroon;
Find related papers by JEL classification:
- O13 - Economic Development, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
- Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Production Analysis, and Firm Location - - - General
This paper has been announced in the following NEP Reports:
- NEP-AFR-2007-11-03 (Africa)
- NEP-AGR-2007-11-03 (Agricultural Economics)
- NEP-ALL-2007-11-03 (All new papers)
- NEP-DEV-2007-11-03 (Development)
- NEP-EFF-2007-11-03 (Efficiency & Productivity)
You can help add them by filling out this form.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (winston wachanga).
If references are entirely missing, you can add them using this form.