Academic literature on the topic 'Agriculture – Environmental aspects – Kenya'

This research was undertaken to study the effect of education on small farm revenues and profits in Kenya. Schooling (defined as the number of school standards completed by the farm operator) was used as the most important source of education. It was hypothesized that schooling has a positive effect on farm revenues and profits. The effect of other sources of information viz; extension contact, demonstration attendance and baraza attendance on farm revenues and profits were also investigated. The research was done using regression analysis where these variables and other farm activity relevant variables were fitted in regression equations. The choice of these variables were based on economic theory, Kenya small farm characteristics and the objective of the study. Several factors would qualify as supporting evidence for the argument that educated farmers are more productive. We expect educated farmers to be more informed in terms of use of new production technologies. Education as a source of human capital also enhances the productive abilities of human beings and also enables those who have invested in education to use their resources more efficiently as well as adjusting to new "ways of producing more efficiently". In the current study we find that schooling of the farm operator is positively related to level of expenditure on farm purchased variable inputs. This indicates that education enhances adoption of new technologies and innovativeness. Further it was shown that farmers with more education earned more value added per acre from their farm business compared to their less educated counterparts. On the overall farm activity, farmers with eight or more standards of schooling earned upto 80.2% in value added per acre compared to those who had no schooling. The regression estimates were done on a stepwise procedure where farm specific enterprises were estimated separately and then aggregated and estimated as one farm sector. Thus a crop equation, a livestock equation and a total farm output equation were estimated. This model was then developed into a variable profit function. A simple linear function procedure was used in the regression analysis. In all the estimated value added equations the schooling coefficient was positive and significant at 5% level two tail t-test. As we move from farm specific activities to a farm aggregate output model and lastly to value added model the schooling coefficient increased in size confirming the positive role of education in allocative effect. These results show that schooling plays an important role in allocation of other purchased inputs and also choice of crop mix and input selection. The estimated marginal return to schooling of farm operator in the profit function was Kshs.281. In an earlier function where schooling of the farm operator was fitted into a total farm income equation the estimated marginal return to schooling was Kshs.778.89. When schooling of the farm operator is allowed to interact with extension service the estimated interaction variable coefficient is negative showing the two act as substitute sources of knowledge, and the schooling coefficient increased in size showing that those who had both schooling and extension service earned comparatively more farm revenues. The role of other educative factors like extension service, demonstration attendance, and baraza attendance in influencing agricultural production was investigated. Regression results showed that extension contact had a negative and significant effect on farm revenues and profits. Demonstration and baraza attendance had similar effects on farm revenues and profits. In the value added function hired labour variable was fitted as the cost of hired labour per day. The estimated coefficient for this variable was positive and significant at 5%. The estimated coefficient for this variable shows hired labour is not optimally used, and farmers can increase their farm profits by hiring more labour. When this variable was fitted as the wage rate paid to hired labour per day the estimated coefficient was positive and significant. These results indicate that cost of hired labour depends on its quality. In the sales function hired labour was specified as mandays of hired labour per year and the estimated coefficient which reflects the shadow price of labour was higher than average hired labour wage rate implying that this factor is underemployed. In the sales function the estimated coefficient for the value of purchased inputs variable indicates that there is an element of underutilization of these inputs. This variable is fitted in value terms and in profit maximizing conditions the estimated coefficient is expected to be no different from unit. However, the estimated coefficient for this variable is approximately 2.5 showing a shilling spent on purchased inputs will bring forth 2.5 shillings. Thus an increase in the use of purchased inputs will increase farm revenues. Results show evidence of regional differences in farmer productivity and utilization of purchased inputs in favour of Central province. The study is based on the 1982 CBS-IDS-World Bank Household Survey of Rural Kenya data set.<br>Land and Food Systems, Faculty of<br>Graduate

Kenya has one of the oldest and most developed national park and reserve systems among developing nations in Africa. Kenya's ecosystems have felt the impact of tourists, from big game hunters to photographic safaris, for over a century. This project contains the research on which the author intends to base a future book about Kenyan ecoturism for the general public.

The effect of global warming on methane (CH₄) and nitrous oxide (N₂O) emissions from agriculture was investigated and simulated from a soil warming experiment. Experiments were designed and installed in a temperature controlled greenhouse. The relationships between elevated temperatures and CH₄ and N₂O emissions were determined and calculated as the Q₁₀s of production, emission and oxidation. A study of the populations of methanogens and methanotrophs at a range of soil temperatures was performed based on soil molecular DNA analysis. This study showed that global warming would increase CH₄ emissions from rice agriculture and that the resultant emissions will be potentially large enough to cause changes in the present atmospheric concentrations. This research also showed that this increase was most evident for soil temperatures below 30⁰C, above which emissions decreased with increasing temperature. The seasonal average Q₁₀s of CH₄ emission, production, oxidation, methanogen and methanotroph populations were found to be 1.7, 2.6 and 2.2, 2.6 and 3.8, respectively, over a temperature of 20-32⁰C. Considering that the processes of CH₄ production and emission are similar to those in natural wetlands, which is the largest source of atmospheric CH₄, the contribution of this feedback is likely to cause a significant increase to the present CH₄ atmospheric budget if the current global warming trend persists over the next century. The Q₁₀s of N₂O emissions and production were 0.5-3.3 and 0.4-2.9, respectively. The low Q₁₀ values found for N₂O suggest that although global warming will have a direct impact on the production and emission rates. Nevertheless, the magnitude of the impact of global on both CH₄ and N₂O emissions from agriculture is likely to vary from one region to another due to the spatial variations in agricultural soil temperatures and the likely changes in the global regional distribution of water resources (water tables, rainfall patterns), water management practices and the responses of terrestrial CH₄ and N₂O sources such as natural wetlands and plants.

The study examines the development of wildlife conservation policy and practice in Kenya from 1895 to 1975. Started by the colonial state as part of its resource control programme, wildlife conservation in Kenya gradually became an important aspect of the country's economy chiefly because of its significance as the basis of a vibrant tourist industry. The conservation programme was also important to conservationists who viewed Kenya's wildlife as a heritage to humanity. Similarly, local communities, which were affected in various ways by wildlife conservation policies, had their own perceptions of the programme. All this led to the proliferation of groups whose interests were potentially conflicting. Wildlife conservation in Kenya during the period under examination was thus characterised by various struggles between interest groups such as conservationists, the state, and local communities. The struggles centred around such issues as the costs and benefits of conservation and were manifested through anti-conservation activities like the poaching of wild animals by dissatisfied groups. These struggles changed over time in line with social, economic, political, and ecological developments. International events/processes (such as the two world wars, economic booms/depressions, and decolonisation) triggered local processes which influenced conservationism either positively or negatively. Wildlife conservation in Kenya during the period under study was dynamic. The thesis challenges the myth of a monolithic 'colonial' wildlife policy often implied in many studies on the subject. The thesis also lays emphasis on the ecological basis of wildlife conservation while recognising the impact of social, political, and economic developments on the evolution of wildlife conservation policy and practice in Kenya. The country's 'geography' not only provided the foundation for conservation but also influenced the programme over time. Droughts, floods, army worm infestations, and other 'natural' occurrences interacted with social and economic changes, such as population growth and the development of capitalism, to shape conservation policy. The conservation programme was thus influenced by a complex interaction of a variety of factors.

The aim of this study was to explore how land degradation influences the living conditions of a farming community in Kenya. Investigation method used was qualitative research and data collection through semi -structured interviews with chosen farmers, interview with a professional in the relevant profession, and field observation within a farming community in central province of Kenya. In developing countries many families live in rural areas and depend on small scale farming for livelihood. These communities are however faced with poverty from degraded lands as is indicated by the interviews conducted in this rural community where farming activities has resulted in degradation of land. Unhealthy agricultural practices threaten human survival by not only eating innutritious food, but reduction in economic capability, as well as causing loss of biodiversity which is indispensable for environmental sustainability.

The basic theme of this study is that determination of the economic value of water resources is a necessary condition for rational decision-making and management of these environmental assets, and their associated public goods, in developing countries. The research particularly evaluates the contingent valuation (CV) method as a technique for evaluating increments and decrements in environmental and natural resource service flows, and estimates households' evaluations for improvements in river water quality and connections to piped water supply for domestic uses. The study objectives were to (a) estimate the economic value of piped water supply and improved water quality in the Nzoia River Basin, Kenya, (b) evaluate the feasibility of using the CV technique to value an environmental amenity and its related quasi-public service in rural settings where respondents have limited education and monetary resources, (c) examine the role of temporal dimensions of bid payments (i e, frequency of payments) in contingent values for environmental commodities, (d) empirically investigate embedding effect bias in contingent valuation of improvements in river water quality improvement in a less developed economy, and (e) evaluate the role of water connection charges in households' willingness to hook onto piped water supply in Webuye Division, Kenya. Empirical analysis and estimates of the non-market value which local people assign to water quality in the Nzoia River and a private household water connection is based on a detailed survey of a representative sample of 311 households in Webuye Division of Bungoma District, Kenya. In an on-site survey carried out in May through September 1995, contingent markets were developed for the two goods, (1) improved river water quality, and, (2) provision of a private connection to water supply. The corresponding willingness to pay (WTP) values are explained using Ordinary Least Square regression models. Whatever the good, the WTP is seen to increase with income. However, the effects of other factors are more specific to the contingent good. In order of strength, the other determinants of WTP &quot;quality&quot; are sex, age, household ranking of status of domestic water source, distance from river to household residence, the other factors affecting WTP &quot;connections&quot; are existing source of water supply, household size, ranking of river water quality, and age of household head. On the whole, residents accepted the exercise of contingent valuation and were willing to pay important amounts (Ksh 459 and Ksh 386 on average per household per year, respectively, for goods 1 and 2). Discussion issues include policy significance of the resulting WTPs in terms of the demand for river pollution control and individual household water connections, the effect of the goods upon the CV evaluation process, the &quot;Third World&quot; impacts of frequency of payments in contingent valuation, including perceived-frequency and income-smoothing routes, the embedding effect in WTP values for water pollution abatement in the Nzoia River basin, the importance of pricing influences, specially payment profiles for initial connection charges, on household decisions to connect to piped water systems, and limitations of the study.