Quality education is one of the most powerful instruments for reducing poverty and inequality; yet it remains elusive in many parts of the world. The Programme for the Analysis of Education Systems (PASEC), which is designed to assess student abilities in mathematics and reading in French, has for the first time delivered an internationally comparable measure around which policy dialogue and international cooperation can aspire to improve. The PASEC 2014 international student assessment was administered in 10 countries in Francophone West Africa (Cameroon, Burundi, Republic of Congo, Côte d’Ivoire, Senegal, Chad, Togo, Benin, Burkina Faso, and Niger).
Also available in: Español
Six years ago, a revolution started in Tunisia with an unemployed young Tunisian in a secondary city desperate to make his voice heard. This revolution reshaped the country’s development agenda and triggered a decentralization process to give more say to local governments in policymaking. Since then, the World Bank’s work on local governance in Tunisia has expanded from equipping municipalities with basic services into tackling the diverse challenges of decentralization: institutional reform, participatory processes, transparency and accountability, capacity building, and performance assessment.
Every place where I travel in Africa and Asia I hear stories about the dramatic loss of wildlife and the destruction of ecosystems and habitats. Most recently, while attending the third high-level Conference on Illegal Wildlife Trade in Hanoi that was attended by heads of states and delegates from 54 countries and international organizations, the World Bank’s Vietnam Country Director Ousmane Dione shared his own personal story on the disappearance of wildlife.
In Ousmane’s home country of Senegal, the lion is a national symbol, displayed on the coat of arms, the President’s exclusive seal, and is even the namesake of the national soccer team: The Lions. However, in the past 20 years, 80% of the lions in West Africa have been lost and in Senegal a mere 16 lions remain relegated to the Niokolo Koba National Park where their prey is diminishing as a result of the bush meat trade and competing resources with grazing livestock. Ousmane fears his children will never see a lion in their native country.
In March 2016, some colleagues and I visited several villages around Kaffrine in Senegal where private companies had been awarded licenses to provide electricity on a commercial basis. As we spoke to people, two things became very clear. The initial cost of connection to the grid was too high for many poor people, and the cost of electricity offered by the private companies (or “concessionaires”) were in several cases higher than what the government-owned utility offered in nearby areas.
This is the eighth in our series of job market posts this year
The Global Fund has disbursed nearly $28.4 billion in the last decade to reduce the disease burden from malaria, TB and HIV (Global Fund 2016). However, travelers can reverse the progress from campaigns that have decreased infectious disease prevalence (Cohen 2012 et al, Lu et al 2014), or can rapidly spread emerging diseases such as Ebola and Zika (Tam et al 2016, Bogoch et al 2016). While policymakers have largely targeted environmental drivers of malaria, this research provides evidence that human movement can play an important role in spreading disease in areas where incidence has been reduced. Given that migration has numerous economic and social benefits, policymakers face important trade-offs in designing policies to reduce travel-linked malaria cases. This paper provides a useful framework for identifying high-risk populations in order to reduce malaria incidence with minimal interference to movement patterns.
As climate change intensifies, catastrophic, record-setting natural disasters look increasingly like the “new normal” – from Hurricane Matthew killing at least 1,300 people in September to Typhoon Lionrock, the previous month, causing flooding that left 138 dead and more than 100,000 homeless in North Korea.
What steps can we take to limit the destruction caused by natural disasters? One possible answer is using data to improve relief operations.
Let’s look at the aftermath of the April 2015 Gorkha earthquake, the worst to hit Nepal in over 80 years. Nearly 9,000 people were killed, some 22,000 injured, hundreds of thousands were rendered homeless and entire villages were flattened.
Yet for all the destruction, the toll could have been far worse.
Without in any way minimising the horrible disaster that hit Nepal that day, I want to make the case that data — and, in particular, a new type of social responsibility — helped Nepal avoid a worse calamity. It may offer lessons for other disasters around the world.
In the wake of the Nepal disaster, a wide variety of actors – from government, civil society and the private sector alike – rushed in to address the humanitarian crisis. One notable player was Ncell, Nepal’s largest mobile network operator. Shortly after the earthquake, Ncell decided to share its mobile data (in an aggregated, de-identified way) with the the non-profit Swedish organisation, Flowminder.
A good number of African governments have shown how technologically-forward thinking they are by announcing one-tablet-per-child initiatives in their countries. President John recently announced that tablets for Ghana’s schoolchildren were at the center of his campaign to improve academic standards. Last year, President Kenyatta of Kenya abandoned a laptop project for tablets.
While most adults in developed countries have an account at a bank or another formal financial institution, this is not the reality in many developing countries, including Senegal. A recent World Bank Group (WBG) Financial Capability Survey revealed that less than one in five Senegalese adults (17%) report owning an account at a formal institution, which includes banks, microfinance institutions, or e-money agents. While Senegal’s financial inclusion levels are similar to those in other lower-middle income economies, the country lags behind the average inclusion rate among Sub-Saharan African economies.