Evelyne Sissinto Gbenou
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Evelyne Sissinto Gbenou has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Segla Roch Cedrique Zossou
Affiliation International Center of Research and Training in Social Science, Abomey-Calavi, Benin
2 shared publications - Ygue Patrice Adegbola
Laboratory for Agricultural Policy Analysis and Research, National Institute of Agricultural Research of Benin (LARPA/INRAB), Cotonou, Republic of Benin
2 shared publications - Gauthier Biaou
Université Nationale d'Agriculture
1 shared publication - Gauthier Biaou
Department of Economy and Sociology of Rural Development, Agricultural Sciences Faculty (FSA), University of Abomey-Calavi (UAC), Cotonou 01BP526, Benin
1 shared publication - Pélagie Manhoussi Hessavi
International Center of Research and Training in Social Science, Porto-Novo 02 BP 238, Benin
1 shared publication
Latest Publications
- Open Access
- 5 January 2021
- Published by MDPI AG in Agriculture
- Vol. 11 (1) , 32
On-Farm Assessment of Maize Storage and Conservation Technologies in the Central and Northern Republic of Benin
The loss rates and financial profitability of maize storage and conservation technologies were assessed in the central and northern regions of the Republic of Benin. The experimentations were conducted specifically in the villages of Boukoumbé and Savalou and were randomly sampled. A total of four storage technologies were offered to 137 producers: the polypropylene bag, the Purdue Improved Cowpea Storage (PICS) bag, the metal silo, and the improved and closed earthen attic (with or without stock processing). The method by Pantenius was used to determine the loss rates, and the economic method of Gittinger was used to evaluate the profitability of technologies. The results showed that the technologies that recorded fewer losses in the two communes during storage were the PICS bag with grain treatment by chemical conservation measures in Savalou (9.42 ± 4.64%) and Boukoumbé (2.69 ± 0.77%), the PICS bag without grain treatment in Savalou (11.71 ± 2.78%), the metal silo with grain treatment in Boukoumbé (4.92 ± 1.36%) and the polypropylene bag with grain treatment in Savalou (10.56 ± 2.80%) and Boukoumbé (4.02 ± 1.23%). Therefore, the financial analysis results indicated that the most profitable storage technologies were the PICS bag with treatment in the center of Benin and the polypropylene bag without treatment in northern Benin.
- 5 January 2021
- Published by MDPI AG in Agriculture
- Vol. 11 (1) , 32
Open AccessOn-Farm Assessment of Maize Storage and Conservation Technologies in the Central and Northern Republic of Benin
The loss rates and financial profitability of maize storage and conservation technologies were assessed in the central and northern regions of the Republic of Benin. The experimentations were conducted specifically in the villages of Boukoumbé and Savalou and were randomly sampled. A total of four storage technologies were offered to 137 producers: the polypropylene bag, the Purdue Improved Cowpea Storage (PICS) bag, the metal silo, and the improved and closed earthen attic (with or without stock processing). The method by Pantenius was used to determine the loss rates, and the economic method of Gittinger was used to evaluate the profitability of technologies. The results showed that the technologies that recorded fewer losses in the two communes during storage were the PICS bag with grain treatment by chemical conservation measures in Savalou (9.42 ± 4.64%) and Boukoumbé (2.69 ± 0.77%), the PICS bag without grain treatment in Savalou (11.71 ± 2.78%), the metal silo with grain treatment in Boukoumbé (4.92 ± 1.36%) and the polypropylene bag with grain treatment in Savalou (10.56 ± 2.80%) and Boukoumbé (4.02 ± 1.23%). Therefore, the financial analysis results indicated that the most profitable storage technologies were the PICS bag with treatment in the center of Benin and the polypropylene bag without treatment in northern Benin.
- Open Access
- 17 August 2018
- Published by MDPI AG in Sustainability
- Vol. 10 (8) , 2925
Farmers’ Willingness to Pay for New Storage Technologies for Maize in Northern and Central Benin
The aim of this study is to identify the attributes of storage structures sought by maize producers based on a choice experiment. The experimental processes took place in the maize production areas of northern and central Benin. The sample consisted of 365 maize farmers (80.55% male and 19.45% female) randomly selected from 40 villages. Data were collected and analyzed using a latent class logit model to study the heterogeneous preferences of the key attributes of storage structures. The results show that men and women are eager to change their current practices and to adopt new storage technologies. The study identifies four potential producer segments, including three large-farmer segments that have access to credit and are particularly attracted to structures related to metal silos. Of those three segments, two are also attracted to improved traditional silos. Another segment of poor farmers, who do not have access to credit, prefer to have a very efficient structure (loss rate of less than 5%) that is designed with local materials. This study suggests that knowledge of the heterogeneity of preferences, as well as the preferred attributes, is important for the development and dissemination of better technologies by agribusiness firms, institutions and policymakers.
- 17 August 2018
- Published by MDPI AG in Sustainability
- Vol. 10 (8) , 2925
Open AccessFarmers’ Willingness to Pay for New Storage Technologies for Maize in Northern and Central Benin
The aim of this study is to identify the attributes of storage structures sought by maize producers based on a choice experiment. The experimental processes took place in the maize production areas of northern and central Benin. The sample consisted of 365 maize farmers (80.55% male and 19.45% female) randomly selected from 40 villages. Data were collected and analyzed using a latent class logit model to study the heterogeneous preferences of the key attributes of storage structures. The results show that men and women are eager to change their current practices and to adopt new storage technologies. The study identifies four potential producer segments, including three large-farmer segments that have access to credit and are particularly attracted to structures related to metal silos. Of those three segments, two are also attracted to improved traditional silos. Another segment of poor farmers, who do not have access to credit, prefer to have a very efficient structure (loss rate of less than 5%) that is designed with local materials. This study suggests that knowledge of the heterogeneity of preferences, as well as the preferred attributes, is important for the development and dissemination of better technologies by agribusiness firms, institutions and policymakers.