Author
Listed:
- Caspar Njoroge Ngigi
- Arvind Goswami
- Harmanpreet Singh Kapoor
- Rajesh Kumar Jangir
- U. Anirudh
Abstract
This study aims to examine the relationship between government spending and economic development in Kenya, given the lack of consensus on the topic globally. While there is an agreement that some level of government expenditure is necessary for economic development, the specific areas of spending that are most beneficial still need to be clarified. This study uses the auto regressive distributed lag(ARDL) model and a Support Vector Machine to explore the effect of public spending on the Kenyan economy from 1980 to 2021. The variables used in this study include GDP, infrastructure, education, health, and defense expenditures. This study hypothesizes that increased investment in infrastructure, health, education, and defense spending leads to accelerated economic development growth in Kenya. The results indicate that education has a negative effect on economic development in the short run but a positive effect in the long run, while health and defense spending have a positive impact on economic development Infrastructure spending has adverse impact on economic development in both the short and long run, but its correlation is low. This study suggests that Kenya should increase funding for education and health, maintain defense spending, and improve infrastructure spending while addressing corruption and bureaucracy.This study investigates the role of government spending in economic development. Historically, there is a debate about the role of the government in the economy. This study addresses this issue, which can be used as an addition in this debate that advocates the enhanced role of government in the economy.
Suggested Citation
Caspar Njoroge Ngigi & Arvind Goswami & Harmanpreet Singh Kapoor & Rajesh Kumar Jangir & U. Anirudh, 2024.
"Exploring the role of government spending in fostering economic development in Kenya: an ARDL approach,"
Cogent Economics & Finance, Taylor & Francis Journals, vol. 12(1), pages 2421888-242, December.
Handle:
RePEc:taf:oaefxx:v:12:y:2024:i:1:p:2421888
DOI: 10.1080/23322039.2024.2421888
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:oaefxx:v:12:y:2024:i:1:p:2421888. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/OAEF20 .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.