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This paper follows the World Bank Group's approach to Jobs and Economic Transformation (JET) which identifies economic transformation as key to creating more and better jobs. It builds on the Digital Economy for Africa (DE4A) approach to developing a digital economy to create the jobs of the future, which is aligned with the African Union's Digital Transformation Strategy, 2020-2030. Helping countries build new digital This section is prepared in the context of Covid-19 pandemic that threatens decades of hard-won development gains and is likely to have triggered the deepest global recession since the World War II. The economic crisis is generating massive unemployment, particularly affecting the poor and vulnerable, and highlights the importance of jobs and economic transformation. The HoA countries already faced the challenge of a population growth at a rate around 3% preinfrastructure, and to develop regulations, skills and platforms that are compatible with neighboring countries should enable them to develop a larger and more efficient digital market that can facilitate economic transformation by enabling technological leapfrogging, and the creation of new jobs in old and new sectors. New forms of market connectivity can bring opportunities for new services and regional economic development in the Horn of Africa.

E-Commerce --- ICT Economics --- Information and Communication Technologies --- Information Technology --- Mobile Money --- Private Sector Development

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Mobile technologies show great potential to accelerate internet access and usage, especially in developing countries. A better understanding of key drivers and main constraints for mobile internet access is the first prerequisite for governments to design targeted policy solutions. This study exploits a household survey that collects information on information and communications technology access and usage at the household and individual levels in 22 countries in the Global South. The study finds that in addition to infrastructure investment, which has been the main focus of many developing countries, other demand-side factors are of critical importance. Across the developing world, females, the elderly, those who live in rural areas, and those who have a relatively low level of income or education are less likely to adopt mobile internet. Social network effects are found to have a significant positive impact on the usage of mobile internet. Those who have more close friends using an online social network are more likely to adopt mobile internet. Individuals whose five closest friends are using an online social network (such as Facebook or Twitter) are 63.1 percent more likely to adopt it than those without any close friends using such online social network sites/apps. Across regions, although the factors affecting the adoption of mobile internet remain largely the same, the magnitudes of their impacts vary. In Asia, gender differences are negatively associated with mobile internet. In Africa, the impact of education level is more salient than in the other two regions, implying an urgent need to improve digital literacy.

Developing Economies --- Digital Divide --- Digital Gap --- ICT Economics --- Information and Communication Technologies --- Internet Access --- Internet Demand --- Mobile Broadband --- WDR Background Paper

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In recent years, researchers have demonstrated that digital footprints from mobile phones can be exploited to generate data that are useful for transport planning, disaster response, and other development activities'thanks mainly to the high penetration rate of mobile phones even in low-income regions. Most recently, in the effort to mitigate the spread of COVID-19, these data can be used and explored to track mobility patterns and monitor the results of lockdown measures. However, as rightly noted by other scholars, most of the work has been limited to proofs of concept or academic work: it is hard to point to any real-world use cases. In contrast, this paper uses mobile data to obtain insight on urban mobility patterns, such as number of trips, average trip length, and relation between poverty, mobility, and areas of Freetown, the capital of Sierra Leone. These data were used in preparation of an urban mobility lending operation. Additionally, the paper describes good practices in the following areas: accessing mobile data from telecom operators, frameworks for generating origin and destination matrices, and validation of results.

Big Data --- CDRS --- Disaster Response --- ICT Economics --- Information and Communication Technologies --- Information Technology --- Mobile Date --- Mobility --- Poverty --- Poverty Reduction --- Resilient Transport --- Transport --- Urban Planning --- Urban Transport

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A diagnostic assessment of Zimbabwe's digital economy has been launched as part of the World Bank Group's Digital Economy for Africa (DE4A) Initiative, which leverages an integrated and foundations- based diagnostic framework to examine the present level of digital economy development across Africa. The assessment maps the current strengths and weaknesses that characterize the national digital economy ecosystem in Zimbabwe as well as identifies the challenges and opportunities for future growth.

Digital Divide --- E-Finance and E-Security --- E-Government --- Finance and Financial Sector Development --- Governance --- ICT Economics --- Information and Communication Technologies --- Information Technology --- Skills Development and Labor Force Training --- Social Protections and Labor