| dc.description.abstract |
This study investigates the relationship between digital technology adoption and fiscal
deficit in Ghana from 2003 to 2021. Employing time series data analysis, the study utilizes
the Structural Vector Autoregressive Regression (SVAR) approach to estimate the long-run
and short-run dynamics between digital technology variables and fiscal deficit. Unit root
tests, such as the Zivot–Andrew and Phillips-Perron (PP) tests, were conducted to ensure
the stationarity of the variables. The findings suggest a significant relationship between
digital technology adoption and fiscal deficit in both the short run and long run.
Specifically, an increase in digital technology adoption, as indicated by metrices such as
internet penetration rates and e-government initiatives, is associated with a reduction in
fiscal deficit. This underscores the potential of digital governance strategies to enhance
government efficiency, transparency, and revenue generation in Ghana. Based on the
analysis, the study concludes that leveraging digital technology can be an effective means
of addressing fiscal deficit challenges in Ghana. Policy recommendations include the
continued investment in digital infrastructure, the expansion of e-government services, and
the promotion of digital literacy and inclusion initiatives. These measures can contribute to
improved fiscal management, enhanced public service delivery, and sustainable economic
development in Ghana. |
en_US |