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1 – 2 of 2Chi Aloysius Ngong, Kesuh Jude Thaddeus and Josaphat Uchechukwu Joe Onwumere
This paper aims to examine the causation linking financial technology to economic growth in the East African Community states from 1997 to 2019.
Abstract
Purpose
This paper aims to examine the causation linking financial technology to economic growth in the East African Community states from 1997 to 2019.
Design/methodology/approach
Autoregressive distributed lag is used. Gross domestic product per capita proxies economic growth, automated teller machines, point of sale, debit card ownership and mobile banking measure financial technology.
Findings
The results unveil a significant relationship between financial technology and economic growth. The findings show bidirectional causality between automated teller machine and economic growth, with unidirectional causation from economic growth to point of sales and internet banking, mobile banking and government effectiveness to economic growth. The error correction term is negatively significant, demonstrating a long-term convergence between Fintech measures and economic growth.
Research limitations/implications
The governments should effectively enact and implement policies that protect investments in financial technologies to boost economic growth in the East African Community countries. The government should reduce taxes on financial technology equipment and related services. The use of automated teller machine, debit card ownership and internet banking should be encouraged through cashless transactions. Financial institutions should adopt cashless operation policies to encourage the use of financial technologies.
Originality/value
Research results on the bond between financial technology and economic growth are not conclusive. These studies demonstrate that technological innovations are double edged-swords, with both positive and negative sides. The results are conflicting; some reveal positive relationships, while others show negative links. Hence, research is required to fill the lacuna.
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Javed Iqbal, Jeff Brdedthauer and Christopher S. Decker
This study aims to identify the determinants of housing affordability in an effort to inform policy.
Abstract
Purpose
This study aims to identify the determinants of housing affordability in an effort to inform policy.
Design/methodology/approach
The authors use econometric analysis to determine variables that impact housing affordability in the USA.
Findings
The authors find that affordability depends on a number of demographic factors as well as physical characteristics of properties, including average age of homeowner, family size and average dwelling square footage. The authors also find that vacancy rates, increase in house price and median family income also have a significant impact on housing affordability. Additionally, the authors find that households with high-cost burdens are more vulnerable to mortgage rates and property taxes than those with moderate-cost burdens. As a result, changes in economic or policy variables tend to have a disproportionate impact on high-cost-burdened households, and they are more vulnerable to economic and policy shocks.
Originality/value
To date, the literature has not done a systematic investigation of housing affordability using detailed census data.
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