Adoption of biogas technology as an alternative energy source in Gakawa Location, Nyeri County, Kenya
A sustainable and secure supply of energy is among the top political priorities in many countries. N9 country in modern times has substantially reduced poverty without a massive increase in its use of energy. Providing clean, renewable alternatives to the use of charcoal, firewood and fossil fuels is essential in combating the current rate of deforestation and destruction of our natural habitat, whilst, at the same time, providing long term energy security. Most of the rural households depend on wood fuel to meet their energy needs, yet the commodity is increasingly becoming scarce. Despite the importance of sound environmental management, the widespread degradation of the environment, and overexploitation of natural resources associated with energy needs, still remains a serious problem in Kenya. The adoption of biogas technology as an alternative energy source is an option that has been introduced in Gakawa region to generate more energy at a lower cost and increase efficiency in energy consumption. However, the potential of biogas has not been effectively utilized in the provision of alternative energy for a variety of reasons and the uptake of this technology in the region has been painstakingly slow. Thus the researcher seeks to understand the factors influencing the adoption of biogas technology in Gakawa location. Consequently, this study has three objectives: (i) to examine the extent to which the social cultural factors influence the decision-making process, and; (ii) to examine the attitude towards adoption of biogas technology as an alternative energy source, (iii) to investigate the institutional factors influencing the adoption or non-adoption of biogas in Gakawa location. Both qualitative and quantitative method shall be usedin data collection approaches. The sampling procedure will be purposive for sampling for those who have adopted biogas. Sampling of non-adopters will be through simple random sampling based on administrative divisions. Data from both adopters and non-adopters small scale famers will be collected using questionnaires, while interview schedules will be used to collect data from the key informants. Statistical Package for Social Science (SPSS) will be used for quantitative data analysis. To examine the relationships, correlation analysis, multiple regressions and factor analysis shall be used. Ratios, frequency distributWQs and mode will be used as tools of data analysis to develop the relationship betw~h variables. While qualitative data will be analyzed using content analysis. Summarized; notes from observation guide and recorded interviews will be compared with the results, of structured questions noting the similarities and differences. The findings aim at contributing to policy formulation that can help the policy makers, local communities, Community Based Organizations and Non-Governmental Organizations to improve on biogas technology acceptance and adoption.