This study utilizes frontier metaproduction functions to analyze inter‐region agricultural productivity differences. Technical efficiency scores are examined through estimation of stochastic frontiers for 16 African countries divided into three different regions (West Africa, East and Southern Africa, and North Africa) from 1970 to 2001. The idea is to explore the differences in efficiency and technological gaps of agricultural sector. Apart of common traits that characterize African agricultural sector, countries exhibit national and regional specificities. These diversities are such that it is difficult to make valuable generalizations. It appears from the results that: in West Africa, the level of technology is relatively good, meaning that there is no problem of input constraints. By contrast, the efficiency with which inputs are used is very low. The situation is very different in the East and Southern Africa, with the level of technology relatively low and appreciable technical level. At least, the North Africa countries make a performing mixture between technology and efficiency. Cette étude utilise les Meta frontières de production pour analyser les différences inter‐régionales de la productivité agricole. Les niveaux d'efficacité technique sont examinées par l'estimation des frontières stochastiques de 16 pays africains regroupés en trois régions (l'Afrique de l'Ouest, l'Afrique de l'Est et Australe, et l'Afrique du Nord), sur une période allant de 1970 à 2001. L'idée étant d'explorer les différences d'efficacité et les écarts technologiques du secteur agricole. Au‐delà des simples traits communs qui caractérisent le secteur agricole africain, on trouve des expériences nationales et régionales dont il est difficile, du fait de leur grande diversité, de tirer des généralisations valables. Des résultats de l'étude, il ressort que: en Afrique de l'Ouest, le niveau technologique est relativement satisfaisant, traduisant le fait que la présence des inputs ne représente pas une contrainte. Par contre le niveau d'efficacité avec lequel ces intrants sont utilisés est assez faible. La situation est tout autre en Afrique de l'Est et Australe avec un niveau technologique relativement faible et un niveau d'efficacité appréciable. L'Afrique du nord enfin fait un savant dosage entre efficacité et technologie.

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Background:Mango is an important tree fruit in Sierra Leone since it participates to food and nutritional security mainly in rural areas. However, the economic potential of this tree fruit is still untapped to a large extent. This situation is due to high loss and poor handling at post-harvest stage preventing farmers from meeting the quality standard for different markets. The aims of this paper were to analyse the constrains and opportunities for mango value chain development, as well as community-based copping strategies developed by chain actors to valorise the existing opportunities for better market development and forest conservation.Methods: Data were collected in four sites around the Outamba Kilimi National Park, Sierra Leone, through focus group discussions with men and women groups of 25-35 mango value chain actors in each site. Results:Results indicated that mango value chain is composed of nursery suppliers, mango producers, harvesters and assemblers, processors and traders. Main constraints encountered by both men and women are lack of: (1) polythene bags and improved mango seedlings, mineral fertilisers, herbicides, pesticide, (2) training on appropriate mango production practices, (3) appropriate harvesting tools, (4) appropriate processing knowledge and equipment, as well as high transportation cost. Hand weeding, use of available organic fertiliser, seeking of advices from colleagues farmers, equipment from other processors who own local processing equipment were some of the coping strategies developed by various actors along mango value chains. Soil fertility, favourable climatic conditions, technical and financial support from direct or indirect actors through training on good agronomic practices, processing and marketing techniques, availability of hired labour to perform farming and processing operations, existence of local processing plant to serve as outlet for fresh mango were identified as main factors to be exploited to improve mango value chains around Outamba Kilimi National Park in Sierra Leone. Conclusions: Our results provided insight into the various factors limiting the performance of mango value chains around Outamba Kilimi National Park in Sierra Leone. This baseline study will help in designing and implementing appropriate strategies to promote mango value chains in the areas around the Outamba Kilimi National Park.

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