The outbreak of the COVID-19 pandemic has helped accelerate the digitization of public services. The lockdown initiated by most governments to curb the spread of the coronavirus forced most public agencies to switch to online platforms to continue providing information and services to the public. It is widely recognized that information diffusion and communication technology play a large role in improving the quality of public services in terms of time, cost, and interface with the public, business, and other agencies. Potentially, e-government could enhance a country’s locational advantages and attract more Foreign Direct Investment (FDI) inflows. This hypothesis is tested empirically using an unbalanced panel data analysis for 178 host countries over the period 2003-2018. The results suggest that e-government stimulates the inflow of FDI.
Mariya Brussevich, Ms. Era Dabla-Norris, and Salma Khalid
Lockdowns imposed around the world to contain the spread of the COVID-19 pandemic are
having a differential impact on economic activity and jobs. This paper presents a new index
of the feasibility to work from home to investigate what types of jobs are most at risk. We
estimate that over 97.3 million workers, equivalent to about 15 percent of the workforce, are
at high risk of layoffs and furlough across the 35 advanced and emerging countries in our
sample. Workers least likely to work remotely tend to be young, without a college education,
working for non-standard contracts, employed in smaller firms, and those at the bottom of the
earnings distribution, suggesting that the pandemic could exacerbate inequality. Crosscountry
heterogeneity in the ability to work remotely reflects differential access to and use of
technology, sectoral mix, and labor market selection. Policies should account for
demographic and distributional considerations both during the crisis and in its aftermath.
Sandile Hlatshwayo, Anne Oeking, Mr. Manuk Ghazanchyan, David Corvino, Ananya Shukla, and Mr. Lamin Y Leigh
Corruption is macro-relevant for many countries, but is often hidden, making measurement of it—and its effects—inherently difficult. Existing indicators suffer from several weaknesses, including a lack of time variation due to the sticky nature of perception-based measures, reliance on a limited pool of experts, and an inability to distinguish between corruption and institutional capacity gaps. This paper attempts to address these limitations by leveraging news media coverage of corruption. We contribute to the literature by constructing the first big data, cross-country news flow indices of corruption (NIC) and anti-corruption (anti-NIC) by running country-specific search algorithms over more than 665 million international news articles. These indices correlate well with existing measures of corruption but offer additional richness in their time-series variation. Drawing on theory from the corporate finance and behavioral economics literature, we also test to what extent news about corruption and anti-corruption efforts affects economic agents’ assessments of corruption and, in turn, economic outcomes. We find that NIC shocks appear to negatively impact both financial (e.g., stock market returns and yield spreads) and real variables (e.g., growth), albeit with some country heterogeneity. On average, NIC shocks lower real per capita GDP growth by 3 percentage points over a two-year period, illustrating persistence in the effect of such shocks. Conversely, there is suggestive evidence that anti-NIC efforts appear to have a sustained positive macro impact only when paired with meaningful institutional strengthening, proxied by capacity development efforts.