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Enregistrement W1505670744 · doi:10.18174/121905

Adoption of agricultural innovations by smallholder farmers in the context of HIV/AIDS: the case of tissue-cultured banana in Kenya

2007· dissertation· en· W1505670744 sur OpenAlexfundno aff
Faith Njeri Nguthi

Notice bibliographique

Revuenon disponible
Typedissertation
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueAgricultural Innovations and Practices
Établissements canadiensnon disponible
Organismes subventionnairesDepartment for International DevelopmentInternational Development Research Centre
Mots-clésContext (archaeology)AgricultureHuman immunodeficiency virus (HIV)BusinessAgricultural scienceAgroforestryGeographyBiologyVirologyEcologyArchaeology

Résumé

récupéré en direct d'OpenAlex

Agricultural technology is known to be a catalyst for agricultural development and rural poverty reduction through increases in food production and/or reduction in production costs. Various government policy and strategic documents emphasize the important role of the agricultural sector as the leading driver for development in Kenya. The recently launched Economic Recovery Strategy for Wealth and Employment Creation (ERS Republic of Kenya 2003) identifies the adoption of appropriate agricultural technologies and practices as one of the imperative themes that will generate the surplus needed to feed the increasing population and to propel economic growth. However, the role of agricultural technology in poverty reduction is currently being played out in an increasingly multifaceted environment, featuring the growing complexity of farming rural households' livelihood strategies and the effects of HIV/AIDS on household assets and livelihood strategies. The current challenge facing agricultural research in countries threatened by HIV/AIDS is to develop technologies that meet the evolving challenges of HIV/AIDS-affected farming households without compromising productivity and sustainability of their livelihoods.This study investigated the suitability of the tissue-cultured banana technology in rural farming households in Central Kenya in the context of HIV/AIDS. The study adopts a livelihood approach and provides detailed information on farming household assets and livelihood strategies. It examines the effects of HIV/AIDS on household assets and compares the consequent livelihood strategies undertaken in HIV/AIDS-affected and non-affected farming households. The study evaluates in detail banana farming as one of the livelihood strategies and assesses the significance of the tissue-cultured banana technology for the livelihood of the farming households. The effects of HIV/AIDS on the local extension services and how this influences the adoption of tissue cultured-banana technology adoption is investigated. A gender perspective of access to assets, HIV/AIDS impacts, livelihood activities and outcomes is integrated. The sample population was selected on the basis of use or non-use of the tissue-cultured banana among banana farming households. Within each of these samples, both HIV/AIDS-affected and non-affected households were selected. The data used in the analysis were collected through a mixed-method approach incorporating quantitative and qualitative data. The quantitative data was collected through a formal survey whereas qualitative data was collected through in-depth interviews, focus group discussions and key informant interviews. The study was conducted in Maragua district, which is a banana-growing region in Central Kenya where the tissue-cultured banana has been introduced. The study elaborates the following research questions:1. How do assets available to farming households influence their livelihood options, activities and outcomes?2. What are the impacts of HIV/AIDS on farming households' assets and consequently livelihood options, activities and outcomes?3. What is the role of the tissue-cultured banana in the livelihood activities and outcomes of farming households?Because farming households differ in their asset endowment, they undertake differing livelihood strategies and respond differently to both shocks and development interventions. To capture this heterogeneity, by means of factor and cluster analysis, a typology according to resource endowment was constructed yielding three types of farming households: low-, medium- and high-resource endowment farming households using factor and cluster analysis. The classification was based on households' asset endowment in terms of human capital (age, sex, education level of the household head and household size); natural capital (size of land); financial capital (savings and access to credit); physical capital (livestock, farm equipment and personal household item value); and social capital (membership in community organization).The low resource endowment category is composed of a high proportion of elderly (65+) female-headed households with a low level of education of the household head and a high demographic dependency ratio. Households in this category have small pieces of land inherited from their parents, and half of them have no title deeds for the land. The households have no access to formal credit and no savings. They have low physical capital in terms of livestock, farm equipment and household items. They are producing mainly for own consumption and earn extra income by selling their own labour in agricultural activities.The medium resource endowment group is composed almost entirely of male-headed households who have relative high education level. They have large pieces of land (on average>0.8 ha) with title deeds, have some savings and access to both formal and informal credit. They have more livestock, farm equipment and personal household items than the type one households. They mostly produce for own consumption and also for the market. They also earn extra income through formal and non-formal employment and are engaged in trading, service provision. They receive remittances from migrant household members.The high resource endowment farming households have of educated male household heads with large land size which is registered with title deeds. They have access to informal credit but do not have savings. They have the highest livestock and farm equipment value. The majority of households in this group do not take on other income diversification activities and are mostly engaged in production of banana for the market and maize and beans for home consumption. They have the largest proportion of migrants and receive more remittances than the other two categories of households.Generally, there is a high level of social capital in the study area as indicated by the large number of households involved in community organizations. The community groups existing in the area are: farming groups, rotating savings-and-credit associations (ROSCAs), burial societies, village committees, clan-based groups, religious groups and HIV/AIDS-associated groups. In general, households in medium and high resource endowment categories have higher number of household members engaged in groups than in the low resource endowment category. However, these groups may not necessarily lead to economic prosperity as most of them are homogenous and hardly connected to outside resources.Despite the differences in assets endowment among the farming households, no significant differences were observed in their incidence of HIV/AIDS. However, differences were observed in asset endowment and household characteristics between HIV/AIDS-affected and non-affected farming households. Comparing affected and non- affected farming households showed that HIV/AIDS-affected households are mostly female-headed, have a significantly higher dependency ratio, and experience a greater shortage of labour despite their larger household size. Land sale, a commonly quoted strategy for household labour loss related to HIV/AIDS is rare in the study area. This is possibly due to cultural beliefs associated with land which deter the sale of ancestral land. Lack of transferability rights (as more than half of the households in sample population have no title deeds to their land) could also be a deterrence factor of land sale. Affected households have adopted various labour coping strategies such as labour re-allocation, hiring labour and bringing in relatives. Some affected households have stopped growing labour-intensive vegetable crops while some have altogether abandoned their land. To cater for the high direct and indirect costs, HIV/AIDS-affected households have various sources of income. These include borrowing from informal sources (ROSCAS, relatives and extended family members) and they also receive remittances from migrant household members. Membership in ROSCAS is crucial as it enables households to access informal credit. In addition to farming, HIV/AIDS-affected households have diversified income sources in the form of rent from land and they engage in labour migration.The adoption of tissue-cultured banana is positively related to financial and physical capitals. The high and medium resource endowment households that have financial capital in form of savings and access to credit are more likely to grow tissue-cultured banana. This is primarily because of the high cost of the tissue-cultured plantlets. Furthermore, the results suggest that affected households are most likely not to adopt the tissue-cultured banana technology. Thus, for the technology to benefit resource-poor farming households who constitute the majority of the sample population, efforts must be made to increase their access to financial capital or lower the cost of tissue-cultured plantlets.Increased farm output resulting from technology adoption is expected to result in various outcomes such as increased household food security, increased income through the sale of extra produce, and reinvestment into household activities. Both HIV/AIDS-affected and non-affected households growing tissue-cultured banana reported an increase in banana production, income and food, which they attributed to the adoption of the technology. However, HIV/AIDS-affected reported higher increases in production, income and food supply as a result of growing tissue-cultured banana.Although the area extension services have not directly suffered the attrition caused by HIV/AIDS, they are lacking skills, finances and human capacity in providing appropriate services to farming households and in particular the HIV/AIDS-affected households. Not only will more extension workers be needed, but contents of extension services also need to change in order to be responsive to the AIDS epidemic. Extension services need to cater to the knowledge needs of women, the

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,769
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,003
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,026
Tête enseignante GPT0,287
Écart entre enseignants0,261 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations40
Publié2007
Routes d'admission1
Résumé présentoui

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