Efficacite Technique Des Entreprises Agro Industrielles Au Cameroun : Approche Non Parametrique

Authors

  • Vangvaidi Albert

Keywords:

technical efficiency, agro-industrial branches, dea, nonparametric method

Abstract

The objective of this study is to analyze and measure the levels of technical efficiency of agro-industrial branches in order to detect the explanatory factors of these different levels. We used the DEA (Data Envelopment Analysis) method to measure the technical efficiency levels of Cameroon's agroindustrial branches over the 2005-2014, period using the SPAD 9.1 software. The non-parametric method as a framework of analysis that is justified by the uncertainty of the functional relationship linking inputs and outputs in the agribusiness sector. To identify explanatory factors for the efficiency levels of agro-industrial branches, then we estimated a multiple linear regression model. It appears that the total technical efficiency was 0.31; the technical efficiency at 0.503 and the efficiency of scale at 0.371. The best performance was achieved in 2008, i.e 0.836; the lowest 0.279 in 2012.

How to Cite

Efficacite Technique Des Entreprises Agro Industrielles Au Cameroun : Approche Non Parametrique. (2018). Global Journal of Human-Social Science, 18(E6), 33-43. https://socialscienceresearch.org/index.php/GJHSS/article/view/2601

References

R Banker (1984) Estimating most productive scale size using Data Envelopment Analysis. 17, 35-44.

Dennis Aigner, S Chu (1968) An Appropriate Econometric Framework for Estimating a Labor Supply Function from the Seo File. 15(1), 59.

Dennis Aigner, C Lovell, Peter Schmidt (1977) Formulation and estimation of stochastic frontier production function models. 6(1), 21-37.

N Amara, R Romain (2000) Mesure de l'efficacité technique: Revue de la littérature.

A Charnes, W Cooper, E Rhodes (1978) Measuring the efficiency of decision making units. 2(6), 429-444.

A Charnes, W Cooper, E Rhodes (1978) Measuring the Efficiency of Decision Making Units. 2, 429-444.

T Coelli (1996) A guide to Deap version 2.1: A data envelopment analysis, computer program.

Gerard Debreu (1951) The Coefficient of Resource Utilization. 19(3), 273.

M Farrell (1957) The Measurement of Productive Efficiency. 120(3), 253.

M Farrell, M Fieldhouse (1962) Estimating Efficient Production Functions under Increasing Returns to Scale. 125(2), 252.

O Joumady (2000) Efficacité et productivité des banques au Maroc durant la période de libéralisation financière:1990-1996. 2, 25.

O Joumady (2000) The sources of productivity change in Spanish banking. 98, 364-380.

S Kamgna, L Dimou (2008) Technical efficiency of the banks of the CEMAC.

T Koopmans (1951) An analysis of Production as Efficient Combination of Activities. 13.

W Meeusen, J Van Den Broeck (1977) Efficiency Estimation from Cobb-Douglas Production Functions With Composed Error. 18, 435-444.

A Nabil, R Et Romain (2000) Mesure de l'efficacité technique : Revue de la Littérature. 34.

Efficacite Technique Des Entreprises Agro Industrielles Au  Cameroun : Approche Non Parametrique

Published

2018-08-23

How to Cite

Efficacite Technique Des Entreprises Agro Industrielles Au Cameroun : Approche Non Parametrique. (2018). Global Journal of Human-Social Science, 18(E6), 33-43. https://socialscienceresearch.org/index.php/GJHSS/article/view/2601