Research Article
The Impact of Digital Financial Services on Financial Inclusion: A Panel Data Regression Method
Aruoriwo Ocharive
,
Jonathan Iworiso*
Issue:
Volume 10, Issue 2, April 2024
Pages:
20-32
Received:
27 April 2024
Accepted:
15 May 2024
Published:
30 May 2024
Abstract: This paper delves into the intricate relationship between digital financial services (DFS), traditional payment methods (TPM), economic factors, and demographic variables in a quest to enhance financial inclusion. Panel data regression models were employed to analyse the data encompassing credit card access, borrowing, mobile money accounts, electronic payments, and economic and demographic factors. The findings underscore the pivotal role of digital financial services in promoting financial inclusion, particularly mobile money accounts and electronic payments. These services offer cost-effective and efficient alternatives to traditional banking, facilitating greater economic participation. Furthermore, the study reveals the influence of conventional payment methods, with suggestive continuing relevance on a long run. Economic and demographic factors such as age, income, education, and gender emerge as crucial determinants of financial inclusion, emphasising the need for tailored strategies in diverse population segments. Overall, the results are promising with demonstrable statistically significant evidence in the approach to financial inclusion, leveraging digital innovations while addressing various economic factors and demographic groups' needs. The approach seems to guarantee a more equitable, accessible and efficient global financial system to foster economic growth and societal well-being. Thus, the output in this paper will be economically useful to financial institutions, modern digital technology companies and further researchers who aimed to continuously adapt and improve the approach to financial inclusion.
Abstract: This paper delves into the intricate relationship between digital financial services (DFS), traditional payment methods (TPM), economic factors, and demographic variables in a quest to enhance financial inclusion. Panel data regression models were employed to analyse the data encompassing credit card access, borrowing, mobile money accounts, electr...
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Research Article
Multiple Linear Regression Analysis of Factors Contributing to the Spread of Cholera in Kenya from 2000 to 2022
Issue:
Volume 10, Issue 2, April 2024
Pages:
33-40
Received:
14 May 2024
Accepted:
6 June 2024
Published:
19 June 2024
DOI:
10.11648/j.ijdsa.20241002.12
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Abstract: Cholera is a deadly disease caused by consumption of either food or water that is contaminated with bacterium known as Vibro cholerae. In the 19th century, Cholera had spread across the globe from its original source in Ganges Delta, India. This research aimed to investigated the factors contributing to the spread of Cholera in Kenya from 2000 to 2022. The key objective was to fit a multiple linear regression model which aid in determining the goodness of fit as well as examining the relationship between different types of drinking water and spread of Cholera. Secondary data was obtained from United Nations International Children’s Emergency Fund (UNICEF) and World Health Organization (WHO). The results showed a strong positive linear relationship between Surface water and proportion of population affected by Cholera. 88% total variation in the proportion of population being affected by Cholera can be explained by the Unimproved Basic water (UBW), Surface water (SW) and Least Basic drinking water (LBW). Significantly this research encouraged the use of the least basic drinking water which clearly showed an inverse proportion to the proportion of population affected by Cholera. In addition to that, the researchers recommend improved access to clean water and create awareness on the dangers of using untreated water.
Abstract: Cholera is a deadly disease caused by consumption of either food or water that is contaminated with bacterium known as Vibro cholerae. In the 19th century, Cholera had spread across the globe from its original source in Ganges Delta, India. This research aimed to investigated the factors contributing to the spread of Cholera in Kenya from 2000 to 2...
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