Using annual data from 1980 to 2019, this study examined the impact of public debt on Kenya's economic growth. Financing Gap theory served as a guide for the investigation. An explanatory research design was adopted in this study. The analysis of the long-run and short-run effects used a customized version of the Vector Error Correction Model (VECM) Model. The R-square value from the VECM model was 58.62, and the Chi-square was 26.913 (p > Chi2 = 0.0494), indicating that the VECM was suitable for parameter estimation. While external debt revealed a coefficient of 0.0003 with a p-value of 0.001 had a significant positive impact on economic growth, domestic debt reported a coefficient of -0.266 with a p-value of 0.019, supporting the debt overhang effect. If the marginal output of an available external debt is greater than or equal to the principal and interest payment, the study found that external debt had a positive impact on the economy of the borrowing country. On the other hand, domestic debt has a significant negative impact on economic growth. The government will be able to develop sound fiscal and monetary policies with the aid of the study's findings. The study demonstrates that increasing domestic debt levels in Kenya during the study period negatively and significantly impacted economic growth. As a result, this study suggests that the Kenyan government reduce domestic borrowing to avoid the crowding out effect, which has a detrimental long-term impact on economic growth. The government should use the borrowed domestic money to diversify the economy's productive base. This will boost long-term economic growth, widen the base of taxation, and increase the country's ability to pay off its obligations when they are due.

Human civilization has always been centred on economic growth. Economic growth difficulties are the main focus of government policy and study in the modern, globalized world. Kenya's overarching goal is to become a middle-income nation that is both globally competitive and wealthy and provides its residents with a high quality of life. The Kenya Vision 2030 is the country's development strategy. Different perspectives on the relationship between inflation, exchange rate and economic growth have shown diverging results. This study's particular goals were to determine the effect of inflation and exchange rate on Kenya's economic growth using Keynesian theory. This study used explanatory research design and adopted positivism philosophy. Annual data from 1980 to 2019 giving 40 observations was used. Vector Error Correction (VECM) Model was customized in analyzing the long run and short-run contribution of macroeconomic variables and gross domestic product in Kenya. From the VECM model, R-square value was 58.62, Chi-square of 26.913 (p > Chi2 = 0.0494) showing VECM was fit for parameter estimation. The coefficient of exchange rate was -0.828 with a p-value of 0.001 while the coefficient of inflation was 0.055,p value=0.020.The findings of this study will provide good fiscal and monetary policy recommendations to the government as well as guidance on how to solve the issue of weak economic growth. Because economic growth is predicted to slow down when inflation exceeds a particular threshold, the nation must control inflation. The government should support macroeconomic policies that strengthen the stability of Kenya's exchange rate versus the major world trading currencies while aiming for an ideal level of inflation because foreign currency rates have a detrimental impact on economic growth in Kenya.

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Kenya's Vision projected an economic growth rate of 10 per cent per annum from 2008 to 2030 which has not been achieved to date. The purpose of this study was to assess the impact of Health Expenditure on economic growth in Kenya as one of the health indicator hindering growth rate. The study adopted the endogenous growth theory and incorporated key health expenditure into the model as a function of human capital. The research design employed was explanatory and relied on secondary data from World Bank from 1987 to 2018. Applying the regression model, the results revealed that the coefficient of healthcare expenditure was 0.3032,  which was positive and insignificant at a 5 per cent level. This implied that for every one per cent increase in the coefficient of health care expenditure, the GDP growth rate could increase by 0.3032 %.  The Kenya government could put in place health policies promoting citizens' health under social pillar and also increase allocation to health care to promote economic growth