Subsidized financing and asset growth of women groups in Siaya county, Kenya

Abstract

The purpose of this study was to establish the effect of subsidized financing on asset growth of women groups of siaya county, Kenya. In specific terms the study reviewed asset growth from; gender based financing; government lending conditions and regulatory framework. This study also employed descriptive survey design since it was conducted to describe the present situation, what people currently believed, what people are doing at the moment and so forth. The study targeted 13,000 registered women groups in Siaya County. This study used Cluster, stratified and simple sampling techniques. Data was analyzed using Statistical Package for Social Sciences (SPSS) and results were presented in frequency tables and charts. The data was then analyzed in terms of descriptive statistics like frequencies and percentages. The findings indicated that the lending conditions does influence women groups in accessing subsidized finances, the result obtained in this study revealed that the chances of women groups accessing subsidized finances decreases with tough requirements of the government. Therefore lending condition is a significant factor and has a negative relationship with access to subsidized finances and asset growth. However, the findings recommended that women groups should design their time structure to allow them join groups which are registered so as to be exposed to the information on credit access and also receive some training on the available services on government funding. To deal with the different economic, social cultural and the legal administrative bottlenecks that women groups face, they should make lobbies together by forming entrepreneurs association and present their grievances via those in charge to the concerned authority. This study also suggest that further study especially a comparative study can be conducted by comparing the effect of subsidized financing and asset growth of women groups from different counties and provide suggestion for the same and more advanced multiple analysis model employed to show the exact effect and differences on the Asset growth.