Trade influences economic growth and entails imports and exports. In Kenya, wheat imports have been expanding with no sign of slowing down and this has become a matter of great concern because the country is losing over 30 billion Kenyan shillings in importing wheat on a yearly basis. This motivated the need to estimate wheat import demand model, which was conducted using secondary time series data from 2000 to 2019. The findings of the study show that there is cointegration in the estimated wheat import demand which captures 98.2% of wheat imports. Therefore, the model can be used to predict the amount of wheat imports in Kenya at any given time to achieve the optimal wheat importation. It was also found that yields, relative prices, ending stock and lagged wheat imports explained wheat expansion in Kenya in the last two decades. Therefore, the study recommends that Kenya wheat imports should be monitored to avoid over importation because, it has adverse effects on the domestic wheat sector.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.