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on Information and Communication Technologies |
| By: | Cyril Chimilila; Vincent Leyaro |
| Abstract: | This paper investigates the effect of ICT and e-formalization on tax mobilization efforts in sub-Saharan Africa. Using a panel of 42 countries from 1991 to 2018 and applying appropriate model specifications; the empirical findings show that there is strong support that ICT (mobile subscription and internet usage) and e-formalization (e-government) enhanced tax mobilization efforts. There is scope to increase tax compliance and expand the tax base in SSA (tax mobilization efforts) through the increase in the usage of ICT that can be applied to simplify tax administration, reduce compliance costs, and provide convenience to taxpayers and enhance enforcement. It is equally important that other policies are skewed toward supporting the development of ICT in SSA countries, supporting the application to improve e-payments, formalization, and tax administration. Furthermore, tax administrations in SSA should take advantage of ICT in discouraging the use of cash in paying taxes to help reduce informality, integrate systems that use third-party information collected from e-payment platforms, and combine advanced data analysis to expand the tax base, enhance enforcement and increase taxpayer compliance. |
| Keywords: | ICT, e-formalization, tax effort, sub-Saharan Africa |
| Date: | 2022 |
| URL: | http://d.repec.org/n?u=RePEc:not:notcre:22/03&r= |
| By: | Jayanta K. Pokharel; Erasmus Tetteh-Bator; Chris P. Tsokos |
| Abstract: | S&P 500 Index is one of the most sought after stock indices in the world. In particular, Information Technology Sector of S&P 500 is the number one business segment of the S&P 500 in terms of market capital, annual revenue and the number of companies (75) associated with it, and is one of the most attracting areas for many investors due to high percentage annual returns on investment over the years. A non-linear real data-driven analytical model is built to predict the Weekly Closing Price (WCP) of the Information Technology Sector Index of S&P 500 using six financial, four economic indicators and their two way interactions as the attributable entities that drive the stock returns. We rank the statistically significant indicators and their interactions based on the percentage of contribution to the $WCP$ of the Information Technology Sector Index of the S&P 500 that provides significant information for the beneficiary of the proposed predictive model. The model has the predictive accuracy of 99.4%, and the paper presents some intriguing findings and the model's usefulness. |
| Date: | 2022–09 |
| URL: | http://d.repec.org/n?u=RePEc:arx:papers:2209.10720&r= |
| By: | Circella, Giovanni; Makino, Keita; Matson, Grant; Malik, Jai |
| Abstract: | The proliferation of digital devices and online services over the past decades has changed how people travel, enabling new mobility options and offering greater opportunities for e-commerce and telework. Researchers are still trying to understand how these new technologies and emerging transportation services are being adopted by different socio-demographic groups, and what the current trends might mean for transportation sustainability. In 2019, researchers at UC Davis launched a national survey to gain insights on general travel behaviors and the adoption of various emerging technologies. The researchers looked at behaviors such as the adoption of smartphones and information and communication technology, telecommuting, new mobility options, electric vehicles, and other alternative-fuel vehicles. With the onset of the COVID-19 pandemic in early 2020, the researchers modified their plan to understand new trends, such as increased remote work, online/virtual meetings, and e-shopping, as well as changes in travel. The team launched additional rounds of surveys to collect information on several additional topics in spring 2020, fall 2020, and summer 2021 (with a new round of data collection planned for fall 2022). The longitudinal dataset provides insights into emerging changes in transportation patterns, including the generational or sociodemographic differences in those changes, before and during the COVID-19 pandemic. This policy brief describes the key discoveries from the research. View the NCST Project Webpage |
| Keywords: | Social and Behavioral Sciences, Longitudinal Data Collection, Individual Lifestyles, Shared Mobility, Travel Behavior, Vehicle Ownership, COVID-19 |
| Date: | 2022–09–01 |
| URL: | http://d.repec.org/n?u=RePEc:cdl:itsdav:qt4f01x6fg&r= |