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

α
Vangvaidi Albert
Vangvaidi Albert
σ
Mbotta Ntjen Emmanuel Chamberlain
Mbotta Ntjen Emmanuel Chamberlain
ρ
Dazoue Dongue Guy Paulin
Dazoue Dongue Guy Paulin
ρ University of Maroua University of Maroua

Send Message

To: Author

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

Article Fingerprint

ReserarchID

I0ZAY

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

AI TAKEAWAY

Connecting with the Eternal Ground
  • English
  • Afrikaans
  • Albanian
  • Amharic
  • Arabic
  • Armenian
  • Azerbaijani
  • Basque
  • Belarusian
  • Bengali
  • Bosnian
  • Bulgarian
  • Catalan
  • Cebuano
  • Chichewa
  • Chinese (Simplified)
  • Chinese (Traditional)
  • Corsican
  • Croatian
  • Czech
  • Danish
  • Dutch
  • Esperanto
  • Estonian
  • Filipino
  • Finnish
  • French
  • Frisian
  • Galician
  • Georgian
  • German
  • Greek
  • Gujarati
  • Haitian Creole
  • Hausa
  • Hawaiian
  • Hebrew
  • Hindi
  • Hmong
  • Hungarian
  • Icelandic
  • Igbo
  • Indonesian
  • Irish
  • Italian
  • Japanese
  • Javanese
  • Kannada
  • Kazakh
  • Khmer
  • Korean
  • Kurdish (Kurmanji)
  • Kyrgyz
  • Lao
  • Latin
  • Latvian
  • Lithuanian
  • Luxembourgish
  • Macedonian
  • Malagasy
  • Malay
  • Malayalam
  • Maltese
  • Maori
  • Marathi
  • Mongolian
  • Myanmar (Burmese)
  • Nepali
  • Norwegian
  • Pashto
  • Persian
  • Polish
  • Portuguese
  • Punjabi
  • Romanian
  • Russian
  • Samoan
  • Scots Gaelic
  • Serbian
  • Sesotho
  • Shona
  • Sindhi
  • Sinhala
  • Slovak
  • Slovenian
  • Somali
  • Spanish
  • Sundanese
  • Swahili
  • Swedish
  • Tajik
  • Tamil
  • Telugu
  • Thai
  • Turkish
  • Ukrainian
  • Urdu
  • Uzbek
  • Vietnamese
  • Welsh
  • Xhosa
  • Yiddish
  • Yoruba
  • Zulu

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.

References

16 Cites in Article
  1. R Banker (1984). Estimating most productive scale size using Data Envelopment Analysis.
  2. Dennis Aigner,S Chu (1968). An Appropriate Econometric Framework for Estimating a Labor Supply Function from the Seo File.
  3. Dennis Aigner,C Lovell,Peter Schmidt (1977). Formulation and estimation of stochastic frontier production function models.
  4. N Amara,R Romain (2000). Mesure de l'efficacité technique: Revue de la littérature.
  5. A Charnes,W Cooper,E Rhodes (1978). Measuring the efficiency of decision making units.
  6. A Charnes,W Cooper,E Rhodes (1978). Measuring the Efficiency of Decision Making Units.
  7. T Coelli (1996). A guide to Deap version 2.1: A data envelopment analysis, computer program.
  8. Gerard Debreu (1951). The Coefficient of Resource Utilization.
  9. M Farrell (1957). The Measurement of Productive Efficiency.
  10. M Farrell,M Fieldhouse (1962). Estimating Efficient Production Functions under Increasing Returns to Scale.
  11. O Joumady (2000). Efficacité et productivité des banques au Maroc durant la période de libéralisation financière:1990-1996.
  12. O Joumady (2000). The sources of productivity change in Spanish banking.
  13. S Kamgna,L Dimou (2008). Technical efficiency of the banks of the CEMAC.
  14. T Koopmans (1951). An analysis of Production as Efficient Combination of Activities.
  15. W Meeusen,J Van Den Broeck (1977). Efficiency Estimation from Cobb-Douglas Production Functions With Composed Error.
  16. A Nabil,R Et Romain (2000). Mesure de l'efficacité technique : Revue de la Littérature.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Vangvaidi Albert. 2018. \u201cEfficacite Technique Des Entreprises Agro Industrielles Au Cameroun : Approche Non Parametrique\u201d. Global Journal of Human-Social Science - E: Economics GJHSS-E Volume 18 (GJHSS Volume 18 Issue E6): .

Download Citation

Issue Cover
GJHSS Volume 18 Issue E6
Pg. 33- 43
Journal Specifications

Crossref Journal DOI 10.17406/GJHSS

Print ISSN 0975-587X

e-ISSN 2249-460X

Keywords
Classification
GJHSS-E Classification: FOR Code: 349999
Version of record

v1.2

Issue date

August 23, 2018

Language
fr
Experiance in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

Article Matrices
Total Views: 2989
Total Downloads: 1472
2026 Trends
Related Research

Published Article

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.

Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]

Request Access

Please fill out the form below to request access to this research paper. Your request will be reviewed by the editorial or author team.
X

Quote and Order Details

Contact Person

Invoice Address

Notes or Comments

This is the heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

High-quality academic research articles on global topics and journals.

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

Vangvaidi Albert
Vangvaidi Albert
Mbotta Ntjen Emmanuel Chamberlain
Mbotta Ntjen Emmanuel Chamberlain
Dazoue Dongue Guy Paulin
Dazoue Dongue Guy Paulin University of Maroua

Research Journals