Open AccessAnalysis of Agricultural Performance in Burkina Faso Using Data Envelopment Analysis
Author(s) -
Jacob Wendpanga Yougbaré
Publication year - 2021
Publication title -
european journal of pure and applied mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.245
H-Index - 5
ISSN - 1307-5543
DOI - 10.29020/nybg.ejpam.v14i2.3888
Subject(s) - data envelopment analysis , agriculture , productivity , agricultural science , mathematics , market liquidity , operator (biology) , variable (mathematics) , scale (ratio) , econometrics , returns to scale , agricultural economics , statistics , economics , production (economics) , geography , economic growth , microeconomics , environmental science , finance , mathematical analysis , biochemistry , chemistry , cartography , archaeology , repressor , transcription factor , gene
In this paper, we used the DEA method, to apply to the agriculture sector in BurkinaFaso. We applied the method with forty-one (41) agricultural farmers with data taking into account cultivated area, manual (human) labour, the liquidity fund of the working household, the number of crops (products) and the expected farm incomes. The results highlight the seven (7) technical efficiencies. Taking into account the variable scale yields, fourteen (14) efficient farms are obtained. These results show how non-efficient farms in the DEA sense are indexed to efficient farms that can serve as benchmarks or benchmarks in terms of performance improvement. This study shows that efficiency does not depend on the category of operator but on overall performance (efficiency and productivity).