SOCIO-ECONOMIC IMPACT OF BIOTECHNOLOGY APPLICATIONS: SOME LESSONS FROM THE PILOT TISSUE-CULTURE (TC) BANANA PRODUCTION PROMOTION PROJECT IN KENYA, 1997-2002

This article is based on a socio-economic impact study of the introduction and adoption of tissue-culture (tc) technology in banana production in Kenya. It attempts to demonstrate that a prudent introduction and promotion of a new biotechnological innovation in farming can make a positive contribution to the socio-economic status of resource poor farmers in a developing country, such as Kenya. Adoption of tc technology in banana production in Kenya is considered a good example of biotechnological applications in agriculture. Hence the article hopes to make a contribution to recent debates at international levels as to whether biotechnology can make a difference in uplifting the living standards of people in the third world (Qaim, 1999; Graff, et al 2002; Qaim, et al 2002) by showing that it actually does so, using experiences from Kenya. The study utilizes both primary and secondary data sources. The results show that tc-banana production is relatively more capital intensive than non-tc banana production (re: about 70% fixed costs for tc banana versus about 49% fixed costs for non-tc banana). However, tc-banana production is found to offer relatively much higher financial returns than non-tc banana production. The high profitability of tc-banana production relative to traditional (non-tc) banana production and other farm enterprises in the pilot tc-banana project area in Kenya demonstrates the importance of biotechnological applications in rural development and shows that biotechnology can make a difference in uplifting the living standards of people in the third world. Therefore, efforts to promote tc-banana production in Kenya are justifiable from both food security and economic criteria.Biotechnology and Tissue-Culture (tc) Banana, Adoption, Socio-economic Impact, Rural Development, Third World, Kenya., Crop Production/Industries, Research and Development/Tech Change/Emerging Technologies,

Classification and influence of agricultural information on striga and stemborer control in Suba and Vihiga Districts, Kenya

This paper reports on findings of a study to examine the sources used by farmers in search of agricultural information on striga and/or stemborers control technologies and factors that influence acquisition of such information in Western Kenya region. A random sample of 476 households in Suba and Vihiga districts were interviewed and 15 information pathways were identified. Using principle component analysis (PCA) to derive few latent variables that encapsulate maximum variance in the pathways, two components (latent variables) proxying for ‘agricultural knowledge’ were extracted. Type I-knowledge (first component) loaded heavily with sources that had ‘group’ information searching. Type II-knowledge (second component) loaded heavily with sources requiring individual farmer search. Both types of knowledge positively and significantly influenced the likelihood of households using improved technology to control stemborer, while only Type-II knowledge and social economic factors were important in influencing the farmers’ likelihood of using an improved technology to control striga. This study shows that information is an important factor in the households’ likelihood of using improved technologies in the control of striga and stem borer in Vihiga and Suba, Kenya. Methods of individual interaction are important to striga control.Agricultural information, improved technology, striga, stemborers, control technologies, Kenya, Agricultural and Food Policy, Community/Rural/Urban Development, Demand and Price Analysis, Farm Management, Food Consumption/Nutrition/Food Safety, Food Security and Poverty, Institutional and Behavioral Economics, International Relations/Trade, Marketing, Productivity Analysis, Research and Development/Tech Change/Emerging Technologies, Resource /Energy Economics and Policy,

AN EVALUATION OF FARMERS’ PERCEPTIONS OF AND ADAPTATION TO THE EFFECTS OF CLIMATE CHANGE IN KENYA

The study was carried out to evaluate how farmers in Kyuso District have perceived and adapted to climate change. Data was collected from 246 farmers from six locations sampled out through a multistage and simple random sampling procedure. The Heckman probit model was fitted to the data to avoid sample selection bias since not every farmer who may perceive climate change responds by adapting. The analysis revealed that 94% of farmers in Kyuso District had a perception that climate was changing and as a result, 85% of these farmers had responded by adapting. In this regard, age of the household head, gender, education, farm experience, household size, distance to the nearest market, access to irrigation water, local agro-ecology, on and off farm income, access to information on climate change through extension services, access to credit, changes in temperature and precipitation were found to have significant influence on the probability of farmers to perceive and/or adapt to climate change. With the level of perception to climate change being more than that of adaptation, the study suggests that more policy efforts should be geared towards helping farmers to adapt to climate chang

SOCIO-ECONOMIC IMPACT OF BIOTECHNOLOGY APPLICATIONS: SOME LESSONS FROM THE PILOT TISSUE-CULTURE (TC) BANANA PRODUCTION PROMOTION PROJECT IN KENYA, 1997-2002

This article is based on a socio-economic impact study of the introduction and adoption of tissue-culture (tc) technology in banana production in Kenya. It attempts to demonstrate that a prudent introduction and promotion of a new biotechnological innovation in farming can make a positive contribution to the socio-economic status of resource poor farmers in a developing country, such as Kenya. Adoption of tc technology in banana production in Kenya is considered a good example of biotechnological applications in agriculture. Hence the article hopes to make a contribution to recent debates at international levels as to whether biotechnology can make a difference in uplifting the living standards of people in the third world (Qaim, 1999; Graff, et al 2002; Qaim, et al 2002) by showing that it actually does so, using experiences from Kenya. The study utilizes both primary and secondary data sources. The results show that tc-banana production is relatively more capital intensive than non-tc banana production (re: about 70% fixed costs for tc banana versus about 49% fixed costs for non-tc banana). However, tc-banana production is found to offer relatively much higher financial returns than non-tc banana production. The high profitability of tc-banana production relative to traditional (non-tc) banana production and other farm enterprises in the pilot tc-banana project area in Kenya demonstrates the importance of biotechnological applications in rural development and shows that biotechnology can make a difference in uplifting the living standards of people in the third world. Therefore, efforts to promote tc-banana production in Kenya are justifiable from both food security and economic criteria

AN EVALUATION OF FARMERS’ PERCEPTIONS OF AND ADAPTATION TO THE EFFECTS OF CLIMATE CHANGE IN KENYA

The study was carried out to evaluate how farmers in Kyuso District have perceived and adapted to climate change. Data was collected from 246 farmers from six locations sampled out through a multistage and simple random sampling procedure. The Heckman probit model was fitted to the data to avoid sample selection bias since not every farmer who may perceive climate change responds by adapting. The analysis revealed that 94% of farmers in Kyuso District had a perception that climate was changing and as a result, 85% of these farmers had responded by adapting. In this regard, age of the household head, gender, education, farm experience, household size, distance to the nearest market, access to irrigation water, local agro-ecology, on and off farm income, access to information on climate change through extension services, access to credit, changes in temperature and precipitation were found to have significant influence on the probability of farmers to perceive and/or adapt to climate change. With the level of perception to climate change being more than that of adaptation, the study suggests that more policy efforts should be geared towards helping farmers to adapt to climate change

Optimizing Costs: How Biosecurity Measures Transform Smallholder Poultry Economics

Attempts to manage poultry diseases through clinical treatment are both costly and increase the risk of antimicrobial resistance (AMR). This study was motivated by the need to tackle the dual challenge of diseases leading to AMR and low poultry productivity in Sub-Saharan Africa. It assesses the cost efficiency of farmers who use varying levels of biosecurity measures. We employ a three-step estimation procedure: first, a latent class analysis (LCA) model to describe adoption patterns. Secondly, a stochastic frontier analysis is used to generate cost efficiency scores and inefficiency effects. Lastly, a one-way ANOVA is used to compare cost efficiency by adoption categories. The LCA model reveals three uptake patterns for biosecurity measures with low, moderate, and high adoption behaviors. The average cost efficiency scores are 49.5%, 61.6%, and 68.6%, respectively, for the low, moderate, and high adoption categories. The overall score of 60.4% indicates that poultry farmers in Nyanza are largely cost-efficient. We demonstrate from the observed pattern that there is room to improve cost performance through increased use of biosecurity measures. Years of experience in poultry farming and larger stock sizes reduce farm cost inefficiency. These findings form the basis for the promotion of biosecurity measures

Classification and influence of agricultural information on striga and stemborer control in Suba and Vihiga Districts, Kenya

This paper reports on findings of a study to examine the sources used by farmers in search of agricultural information on striga and/or stemborers control technologies and factors that influence acquisition of such information in Western Kenya region. A random sample of 476 households in Suba and Vihiga districts were interviewed and 15 information pathways were identified. Using principle component analysis (PCA) to derive few latent variables that encapsulate maximum variance in the pathways, two components (latent variables) proxying for ‘agricultural knowledge’ were extracted. Type I-knowledge (first component) loaded heavily with sources that had ‘group’ information searching. Type II-knowledge (second component) loaded heavily with sources requiring individual farmer search. Both types of knowledge positively and significantly influenced the likelihood of households using improved technology to control stemborer, while only Type-II knowledge and social economic factors were important in influencing the farmers’ likelihood of using an improved technology to control striga. This study shows that information is an important factor in the households’ likelihood of using improved technologies in the control of striga and stem borer in Vihiga and Suba, Kenya. Methods of individual interaction are important to striga control

Analysis of Farmers’ Perceptions of the Effects of Climate Change in Kenya: The Case of Kyuso District

A cross-sectional analysis was carried out to evaluate how farmers in Kyuso District have perceived climate change. Data was collected from 246 farmers from six locations sampled out through a multistage and simple random sampling procedure. The logistic regression analysis was carried out to assess factors influencing farmers’ perceptions of climate change. The analysis revealed that 94% of farmers in Kyuso District had a perception that climate was changing. In this regard, age of the household head, gender, education, farming experience, household size, distance to the nearest input/output market, access to irrigation water, local agro-ecology, access to information on climate change, access to extension services, off farm income and change in temperature and precipitation were found to have significant influence on the probability of farmers to perceive climate change. Since the level of perception to climate change revealed by the study was found to be high (94%), the study suggests that more policy efforts should thus be geared towards helping farmers to adapt to climate change