Investments in public infrastructure is a key component of economic growth strategy among emerging economies, and a particular focus of the Modi government. In general, policymakers and financial economist assume that financing will follow once the roads are built, and thus, facilitate the best use of new productive opportunities created by new road connectivity. However, many rural and agrarian economies suffer from chronic problems of financing, characterized by the absence of formal financial institutions and reliance on informal moneylenders who often are unreliable and charge usurious interest rates. Therefore, a key question remains: if you build it (roads), will they (financing) come?
Although employment is usually seen as a resource for women’s empowerment, it does not automatically translate into better status and lower rates of violence for women. In fact, in some settings, if gendered norms that support men’s violence against women are not addressed, the economic empowerment of women can inadvertently propagate gender-based violence (GBV). For example, when work is a major defining factor of masculinity, working women may face a greater risk of domestic violence.
Some months ago, during a visit to one of the Central American countries, while we were on a call with the head of the electricity dispatch center, we noticed by the tone of his voice, that he was becoming nervous. Shortly after, background voices could be heard on the line. They were experiencing a crisis and he quickly asked to continue our conversation at another time.
The world is facing a learning crisis, particularly in middle and lower income countries, and though theories abound on how best to address it, one things is clear: policymakers and practitioners alike need more and better information to sufficiently address the challenges ahead.
Several important international standardized achievement tests such as PISA and TIMSS provide critical data, but these tests are limited because they often exclude developing countries and only date back to the mid-1990s.
Our new working paper, A Global Dataset on Education Quality (1965-2015), addresses that information gap. In it, we present the largest and most current globally comparable dataset on education quality, with harmonized learning scores for 163 countries and regions that covers more than 90 percent of the world’s population. This new World Bank dataset offers a longer time horizon and includes more countries, especially lower income, than any other previous attempt to capture educational information on so granular a level.
Countries/areas covered by the dataset
We’re pleased to announce support for 12 projects which seek to improve the way development data are produced, managed, and used. They bring together diverse teams of collaborators from around the world, and are focused on solving challenges in low and lower middle-income countries in Sub-Saharan Africa, East Asia, Latin America, and South Asia.
Following the success of the first round of funding in 2016, in August 2017 we announced a $2.5M fund to support Collaborative Data Innovations for Sustainable Development. The World Bank’s Development Data group, together with the Global Partnership for Sustainable Development Data, called for ideas to improve the production, management, and use of data in the two thematic areas of “Leave No One Behind” and the environment. To ensure funding went to projects that solved real people’s problems, and built solutions that were context-specific and relevant to its audience, applicants were required to include the user, in most cases a government or public entity, in the project team. We were also looking for projects that have the potential to generate learning and knowledge that can be shared, adapted, and reused in other settings.
From predicting the movements of internally displaced populations in Somalia to speeding up post-disaster damage assessments in Nepal; and from detecting the armyworm invasive species in Malawi to supporting older people in Kenya and India to map and advocate for the better availability of public services; the 12 selected projects summarized below show how new partnerships, new methods, and new data sources can be integrated to really “put data to work” for development.
This initiative is supported by the World Bank’s Trust Fund for Statistical Capacity Building (TFSCB) with financing from the United Kingdom’s Department for International Development (DFID), the Government of Korea and the Department of Foreign Affairs and Trade of Ireland.
2018 Innovation Fund Recipients
- 2018 Innovation Fund Recipients
- Development Data Innovation Projects
- Social Development
- Agriculture and Rural Development
- Climate Change
- The World Region
- South Asia
- Latin America & Caribbean
- East Asia and Pacific
- Sierra Leone
- Wallis and Futuna Islands
- New Caledonia
- Burkina Faso
- Sustainable Communities
I once received a referee report for a journal submission that said, “In fact, in my view its contribution to science is negative…” The report continued with comments about how the paper lacked “proper and sound scientific inquiry” and was “…unsuitable for publication pretty much anywhere, I think.” Just in case the four-page assault was not sufficient, the report ended with encouraging the authors to “…move onto the next project.” It was hard to avoid the feeling that the referee was suggesting a career change for us rather than simply giving up on this paper… The paper was subsequently published in the Journal of Health Economics, but the bad taste of receiving that report lingered long afterwards…
From Mozambique’s white-sand beaches to Iceland’s snow-white ports, a fisheries delegation learns how private rights, transparent management, and data analysis can transform a fishing industry.
The year 2017 was momentous for Somalia, with the inauguration of a new president and parliament following a historic electoral process, and also the launch of a National Development Plan (2017–19). However, the peaceful transition of power was soon followed by the declaration of a “natural disaster” in the form of a prolonged drought that sparked fears of famine. By the end of 2017, 6.2 million people were in need of humanitarian assistance and over 1 million people internally displaced.
Co-authors: Evan Thomas and German Sturzenegger
Technological innovations have the potential to revitalize the global partnership for sustainable development—if we rise responsibly to the challenge of measuring their impact.
Fifteen years is a long time for technology. In 2003 the “World Wide Web” was pervasive by 1986 standards. Yet today, the web of 2003 may very well have been spun by a single spider.
It’s been over two years since the United Nations introduced the Sustainable Development Goals. How can we better monitor progress toward them? This month, the World Bank Group and the InterAmerican Development Bank, along with collaborators from partnering institutions, published an overview of innovations in the monitoring of water supply, sanitation, and hygiene (WASH) impact measures, directly tied to SDG #6: “Ensure availability and sustainable management of water and sanitation for all.” The authors explore the potential of new measurement technologies to “revitalize the global partnership for sustainable development in the sector,” one of the hopes pinned to the SDG framework.
This column sets out a monthly selection of social protection materials that I found particularly interesting or helpful in illuminating a certain social protection issue. It is not meant to be comprehensive, but just to highlight and discuss some of the latest thinking and evidence on the matter.