Aim: The aim of this study is to investigate the influence of corona virus disease and other external factors on growth of accommodation and restaurant services (ARS) in Kenya. Study Design: The study employed quantitative research design involving quarterly time series data from quarter 1 of 2014 to quarter 1 of 2020. The data set was obtained from Kenya National Bureau of Statistics (KNBS). Methodology: The study employed unrestricted vector autoregression to investigate the changes in the growth of accommodation and restaurant services. Results: Results indicated that COVID-19, professional, administrative and support services, construction and past ARS growth at 1 to 3 lags influences growth of ARS in Kenya negatively. On the other hand, real estate growth, time trend, tax on products, other services, education, manufacturing, information and communication and past growth in ARS at lag 4 influences growth in ARS sector positively. It was also noted that growth in agriculture and transport and storage do not influence growth of ARS in Kenya. Conclusion: In conclusion, COVID-19, professional, administrative and support services, construction and past ARS growth, real estate growth, time trend, tax on products, other services, education, manufacturing, information and communication are the main determinants for the growth of ARS in Kenya.
Aim: The purpose of this study was to analyze the influence of total imports (TIMP) and its components of commercial imports (CIMP) and government imports (GIMP) on inflation in Kenya. Study Design: Quantitative approach was employed to analyze the influence of imports on inflation in Kenya. Methodology: Monthly time series data from Central Bank of Kenya for the period 2005 to 2018 was used for analysis involving correlation analysis, variance decomposition, impulse response and Granger causality tests. Results: Results indicated that total imports and commercial imports had negative influence on inflation while government imports did not significantly influence inflation in Kenya. Unidirectional causality from total imports and commercial imports to inflation was noted while there was no causality between government imports and inflation. Conclusion: The study concluded that imports influence inflation in Kenya but commercial imports highly determined total imports influence on inflation in Kenya.
Aim: This study aimed to analyze the influence of monetary factors on inflation in Kenya. Study Design: Correlational research design was employed to analyze the relationship between inflation and monetary factors in Kenya. Methodology: Monthly time series data from Central Bank of Kenya spanning from 2005 to 2018 was used for analysis using Variance decomposition, impulse response and Granger causality techniques. Results: Results indicated that total money supply had a positive influence on inflation that was highly influenced by extended broad money. Conclusion: The study concluded that imports influence inflation in Kenya but commercial imports highly determined total imports influence on inflation in Kenya.
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