Socio-Economic Factors Influencing Growth of Small and Medium Enterprises in Mombasa County, Kenya
Alfred Maghanga Mwakio
The School Of Business And Economics, Moi University.
https://doi.org/10.47191/jefms/v7-i8-59ABSTRACT:
Small and Medium Enterprises (SMEs) contribute over 70% of jobs, contribute to GDP, aid industrial development, satisfy local demand for services, innovate and support large firms with inputs and services. However, the SMEs in Mombasa County are constantly faced with the threat of failure where three out five fails at infancy. The study investigated the influence of economic factors (taxation, finance access and wages and unemployment) on growth of SMEs in Kenya, in Mombasa County. The specific objectives of the study were; to explore the effect of taxation on growth of SMEs, to find out the effect of Financial Access on growth of SMEs, to determine the effect of wages on growth of SMEs operating, and to evaluate the effect of general unemployment on growth of SMEs operating in Mombasa County. This study employed the institutional theory of growth, the Schumpeter theory of growth and the Endogenous growth theory anchored the study. An explanatory research design was used so as to meet the research objectives. The target population was 54,245 registered SMEs and a sample size of 246 was derived using the Cochran, statistical formula. The list of registered SMEs in Mombasa formed the study population. A Systematic Random Sampling was used from a sample of 246 SMEs was drawn. Data was collected using a structured questionnaire. Multiple regression Analysis technique was the main technique to find the effect of social economic factors on SME growth. to analyze the data using the Statistical Package for Social Sciences with a significance level set at 0.05. Findings showed that SE conditions are just modest level. Correlation results showed that Taxation conditions (r=.344, p=.000), Financial Access (r=.430, p=.000), Wages affordability (r=.241, p=.000) are positively and significantly correlated with SME growth. Regression results showed that SE factors; Taxation conditions (=.268, p=.000), Financial Access ( =.383, p=.000), Wages ( =.182, p=.015) and Unemployment ( = -.170, p=.045) has significance effect on SMEs growth. Conclusions; Socioeconomic can reverse the current trend of high SMEs failure rate. Socioeconomic factors can buck the present trend of a high failure rate among SMEs. The study recommended that the county and national governments should implement measures enhancing tax benefits for SMEs such as utilizing the taxes prudently. Additionally, the SMEs should adopt strategies that enhance internal financial capabilities so as to incase their revenue streams. Moreover, it is recommended the SMEs to have a working and sustainable wage policy that is able to attracts and keeps talented workforce and therefore ensure continued business growth. By using a multi-sectoral approach, both local and national governments should prioritize and focus on short- and long-term policies that lower the rising rates of unemployment.
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