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Record 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 on OpenAlexfundno aff
Faith Njeri Nguthi

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Innovations and Practices
Canadian institutionsnot available
FundersDepartment for International DevelopmentInternational Development Research Centre
KeywordsContext (archaeology)AgricultureHuman immunodeficiency virus (HIV)BusinessAgricultural scienceAgroforestryGeographyBiologyVirologyEcologyArchaeology

Abstract

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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

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.769
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.287
Teacher spread0.261 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations40
Published2007
Admission routes1
Has abstractyes

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