Analyse Des Determinants De Linefficacite Technique Des Exploitations Familiales Rizicole Dans La Région De lExtreme Nord-Cameroun

α
kamgang_ndada_alex
kamgang_ndada_alex
σ
Kamgang Ndada Alex
Kamgang Ndada Alex
ρ
Sabine Nadine Ekamena Ntsama
Sabine Nadine Ekamena Ntsama
Ѡ
Nyore
Nyore

Send Message

To: Author

Analyse Des Determinants De Linefficacite Technique Des Exploitations Familiales Rizicole Dans La Région De lExtreme Nord-Cameroun

Article Fingerprint

ReserarchID

1LY42

Analyse Des Determinants De Linefficacite Technique Des Exploitations Familiales Rizicole Dans La Région De lExtreme Nord-Cameroun 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

This article looks at the origin of the productive technical inefficiency of Rice family farms in the Far North region of Cameroon, particularly the Maga production basin, which is one of the largest rice production basins in the country. This product is characterized by low domestic production, so the direct consequence is the import of rice to satisfy local demand; Finally, to evaluate the productive capacity of rice-farming family farms in this production basin, we determine the technical productive efficiency of these rice-farming family farms using CRS and VRS technology to determine the productive inefficiency index; finally, to explain these different indices we use a simple Tobit model. The model shows that certain parameters are at the origin of the technical productive inefficiency in the basin. Among these parameters the services provided by SEMRY is one of the most significant variables of the model.

References

44 Cites in Article
  1. Chu Aigner (1968). An Appropriate Econometric Framework for Estimating a Labor Supply Function from the Seo File.
  2. Dennis Aigner,C Lovell,Peter Schmidt (1977). Formulation and estimation of stochastic frontier production function models.
  3. Dennis Aigner,C-A Lovell,Peter Schmidt (1977). Formulation and estimation of stochastic frontier production function models.
  4. D Cissé,A Bah L'imam,A Barry,L Gnammi,M Bangoura,Tmo Diallo,M Bah,T Diallo,M Bah,D Kanté,Rfa Guilavogui,A Diallo,O Bah (2000). Ectopie de l’hémi bourse et infertilité masculine : A propos d’un (01) cas au service d’Urologie-Andrologie de l’Hôpital National Ignace Deen de Conakry.
  5. Fawaz Aminou (2018). Efficacité Technique des Petits Producteurs du Maïs au Bénin.
  6. M Audibert,M,-C (2003). Social and health determinants of technical efficiency of cotton farmers in Northern Côte-d'Ivoire.
  7. F Bachewe,B Koru,A Et Taffesse (2015). Cereal productivity and its drivers: The case of Ethiopia.
  8. R Banker,A Charnes,W Cooper (1984). Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis.
  9. (2007). Indicateurs choisis de l’environnement des affaires en Afrique subsaharienne par rapport à d’autres régions, 2009.
  10. G Battese,T Et Coelli (1992). A stochastic frontier production function incorporating a model for technical inefficiency effects.
  11. M Caputo,L Lynch (1993). A nonparametric Efficiency Analysis of California Cotton Ginning Cooperatives.
  12. A Charnes,W Cooper,Rhodes (1978). Measuring the Efficiency of Decision Making Units.
  13. T Coelli,E Fleming (2004). Diversification economies and specialisation efficiencies in a mixed food and coffee smallholder farming system in Papua New Guinea.
  14. Tim Coelli,D Rao,George Battese (1998). Introduction.
  15. D Debreu (1951). The Coefficient of Resource Utilization.
  16. K Diana,L Zepeda (2002). Efficiency of Small Landholders in Eastern Paraguay.
  17. Fao (2012). Programme global d’intervention et de redressement covid-19 de la FAO - Inclusion économique et protection sociale pour réduire la pauvreté.
  18. M Farrell (1957). The Measurement of Productive Efficiency.
  19. Gervais Thenet,Raymond Guillouzo (2002). La conception de la technologie comme boite noire par le contrôle de gestion bancaire: la mesure de la performance opérationnelle des agences par la methode DEA (data envelopment analysis.
  20. M Gouse,J Kirsten,L Jenkins (2003). BT COTTON IN SOUTH AFRICA: ADOPTION AND THE IMPACT ON FARM INCOMES AMONGST SMALL-SCALE AND LARGE SCALE FARMERS.
  21. (2018). Les traits généraux de la conjoncture mondiale au cours du premier semestre 1954.
  22. K Jacques (2019). Cameroun -Agriculture. Le riz camerounais produit à Yagoua à la conquête de la sous-région.
  23. G Kobou (2009). L'efficacité du financement des micro et petites entreprises dans la lutte contre la pauvreté au Cameroun. Colloque sur la vulnérabilité des TPE et des PME dans un environnement mondialisé.
  24. K Kouakou (2001). Crédit agricole et efficacité de la production agricole en Côte d'Ivoire.
  25. L Lebel,W Stuart (1999). Technical Efficiency Evaluation of Logging Contractors Using a Nonparametric Model.
  26. H Leibenstein (1966). Allocative Efficiency versus X-Efficiency.
  27. Msafiri Mbaga,Robert Romain,Bruno Larue,Luc Lebel (2000). Assessing Technical Efficiency of Québec Dairy Farms.
  28. (2005). Compétitivité et développement du secteur privé: Maroc 2010.
  29. Minepia Minader (2007). Présentation des auteurs.
  30. G Nkamleu (2004). L'échec de la croissance de la productivité agricole en Afrique rancophone.
  31. Nestor Djimasra (2009). Efficacité technique et convergence : l’expérience des pays Africains producteurs de coton.
  32. Ekou Nuama (2006). Mesure de l’efficacité technique des agricultrices de cultures vivrières en Côte-d’Ivoire.
  33. Ekou Nuama (2010). L’efficacité technique des riziculteurs ivoiriens : la vulgarisation en question.
  34. B Nyemeck,K Sylla,I Diarra,G Nyambi (2003). Factors Affecting Technical Efficiency among Coffee Farmers in Côte d'Ivoire: Evidence from the Centre West Region.
  35. M Padilla-Fernandez,P Et Nuthall (2009). Technical efficiency in the production of sugar cane in Central Negros area, Philippines: An application of data envelopment analysis.
  36. Subhash Ray (1988). Data envelopment analysis, nondiscretionary inputs and efficiency: an alternative interpretation.
  37. Robert Romain,Rémy Lambert (1995). Efficacitè technique et coûts de production dans les secteurs laitiers du Québec et de l'Ontario.
  38. Sarra Ben,Farah (2018). évaluation de l'efficacité technique des exploitations oléicoles en Tunisie (cas de CHBIKA) Québec.
  39. M Shafiq,T Rehaman (2000). The extent of resource use inefficiencies in cotton production in Pakistan's Punjab: an application of Data Envelopment Analysis.
  40. Khem Sharma,Pingsun Leung,Halina Zaleski (1997). Productive Efficiency of the Swine Industry in Hawaii: Stochastic Frontier vs. Data Envelopment Analysis.
  41. Theodore Schultz (1964). Investment in Humans and Material Progress.
  42. Abdourahmane Thiam,Boris Bravo‐ureta,Teodoro Rivas (2001). Technical efficiency in developing country agriculture: a meta‐analysis.
  43. James Tobin (1958). Estimation of Relationships for Limited Dependent Variables.
  44. Donald Vitaliano (1987). On the estimation of hospital cost functions.

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

kamgang_ndada_alex. 2021. \u201cAnalyse Des Determinants De Linefficacite Technique Des Exploitations Familiales Rizicole Dans La Région De lExtreme Nord-Cameroun\u201d. Global Journal of Human-Social Science - E: Economics GJHSS-E Volume 21 (GJHSS Volume 21 Issue E2): .

Download Citation

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

May 11, 2021

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: 2026
Total Downloads: 958
2026 Trends
Related Research

Published Article

This article looks at the origin of the productive technical inefficiency of Rice family farms in the Far North region of Cameroon, particularly the Maga production basin, which is one of the largest rice production basins in the country. This product is characterized by low domestic production, so the direct consequence is the import of rice to satisfy local demand; Finally, to evaluate the productive capacity of rice-farming family farms in this production basin, we determine the technical productive efficiency of these rice-farming family farms using CRS and VRS technology to determine the productive inefficiency index; finally, to explain these different indices we use a simple Tobit model. The model shows that certain parameters are at the origin of the technical productive inefficiency in the basin. Among these parameters the services provided by SEMRY is one of the most significant variables of the model.

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.

Analyse Des Determinants De Linefficacite Technique Des Exploitations Familiales Rizicole Dans La Région De lExtreme Nord-Cameroun

Kamgang Ndada Alex
Kamgang Ndada Alex
Sabine Nadine Ekamena Ntsama
Sabine Nadine Ekamena Ntsama
Nyore
Nyore

Research Journals