Last January 2017, the World Bank launched TCdata360 (tcdata360.worldbank.org/), a new open data platform that features more than 2,000 trade and competitiveness indicators from 40+ data sources inside and outside the World Bank Group. Users of the website can compare countries, download raw data, create and share data visualizations on social media, get country snapshots and thematic reports, read data stories, connect through an application programming interface (API), and more.
These are some of the views and reports relevant to our readers that caught our attention this week.
The Sustainable Development Goals Report 2017
The Sustainable Development Goals Report 2017 reviews progress made towards the 17 Goals in the second year of implementation of the 2030 Agenda for Sustainable Development. The report is based on the latest available data. It highlights both gains and challenges as the international community moves towards full realization of the ambitions and principles espoused in the 2030 Agenda. While considerable progress has been made over the past decade across all areas of development, the pace of progress observed in previous years is insufficient to fully meet the Sustainable Development Goals (SDGs) and targets by 2030. Time is therefore of the essence. Moreover, as the following pages show, progress has not always been equitable. Advancements have been uneven across regions, between the sexes, and among people of different ages, wealth and locales, including urban and rural dwellers. Faster and more inclusive progress is needed to accomplish the bold vision articulated in the 2030 Agenda.
2017 Change Readiness Index
The 2017 Change Readiness Index (CRI) indicates the capability of a country – its government, private and public enterprises, people and wider civil society – to anticipate, prepare for, manage, and respond to a wide range of change drivers, proactively cultivating the resulting opportunities and mitigating potential negative impacts. Examples of change include:
• shocks such as financial and social instability and natural disasters
• political and economic opportunities and risks such as technology, competition, and changes in government.
Since 2012, the CRI has evolved to become a key tool that provides reliable, independent, and robust information to support the work of governments, civil society institutions, businesses, and the international development community.
Today we’re releasing a revamped Health, Nutrition & Population (HNP) Data portal which offers a quick look at over 250 indicators covering topics such as health financing and the health workforce; immunization and the incidence of HIV and AIDS, malaria and tuberculosis, non-communicable diseases and the causes of death; nutrition, clean water and sanitation, and reproductive health; as well as population estimates and population projections.
We encourage you to explore the resources above, here are three stories you can find in the data:
Delivery assistance provided by doctors, nurses, and trained midwives can save the lives of mothers and children. While more than 70 percent births are attended by skilled health staff worldwide, this average falls to 51 percent in low-income countries. The poorest women are least likely to deliver babies with assistance from skilled health staff at birth.
Most development stakeholders agree on the need to foster more open and transparent Public Private Partnerships (PPPs) to ensure that PPP projects provide quality public goods and services to citizens, and that they effectively contribute to pro-poor development outcomes.
That sounds great in theory, but in practice, it’s not that easy. PPPs involve a trove of data and documents. On top of that, the information made available publicly is generally difficult to interrogate, when it’s not completely lost in lengthy PDF files.
Let’s face it: searching for relevant PPP data and information can oftentimes feel like looking for a needle in a haystack.
The social inclusion of disadvantaged groups is necessary for reducing poverty and boosting shared prosperity, said government representatives, experts, and civil society representatives at a World Bank seminar on Friday, April 21. Persons with disabilities, Indigenous Peoples, as well as lesbian, gay, bisexual, transgender, and intersex (LGBTI) persons form a large part of the world population affected by poverty. They often face multiple discrimination and exclusion because of their overlapping identities, stressed Maitreyi Das, Social Inclusion Global Lead at the World Bank Group.
Patricia Peña, Director General for Economic Development of Global Affairs, Canada, highlighted the commitment of Canada—through its foreign assistance, diplomacy, and domestic efforts—to support policies and programs addressing economic and social inclusion of LGBTI people. Disaggregated data collection is one of the priorities for developing effective responses. Harry Patrinos, Practice Manager at the Bank’s Education Global Practice, made a cross-country assessment of poverty among Indigenous Peoples. Ulrich Zachau, the World Bank’s Country Director for Southeast Asia, discussed the Bank’s ground-breaking data generation efforts on LGBTI persons in Thailand. There is a need to find a shared way of measuring disability, said Nick Dyer, Director General of Policy and Global Programmes at the UK Department for International Development.
View tweets from the session below. Learn more about the World Bank's work on social inclusion, disability, indigenous peoples, as well as sexual orientation and gender identity (SOGI).
My previous blog post surveyed some of the recent trends in developing global measures of urbanization. In this post, I want to turn to a brief discussion for scholars and practitioners on some possible applications and areas of focus for ongoing work:
[Download draft paper "Bright Lights, Big Cities: a Review of Research and Findings on Global Urban Expansion"]
While there are a number of different maps for documenting urban expansion, each has different strengths and weaknesses in application. Coarser resolution maps such as MODIS can be used for mapping the basic contours of artificial built-up areas in regional and comparative scales. On the other hand, high-resolution maps are best suited for individual cities, as algorithms can be used to identify and classify observed colors, textures, shading, and patterns into different types of land uses. These levels of detail are difficult to use for reliable comparisons between cities as the types of building materials, structure shapes, light reflectivity, and other factors can vary widely between countries and regions.
Nonetheless, there are a number of applications for policymakers in this regard, from identifying and mapping green spaces and natural hazard risks to identifying and tracking areas of new growth, such as informal settlements. However, such approaches to land use detection require careful calibration of these automated methods, such as cross referencing with other available maps, or by “ground truthing” with a sample of street-level photos of various types of buildings and land cover as reference inputs for automation. One solution to this is the use of social media and geo-coded data to confirm and monitor changes in urban environments alongside the use of high-resolution satellite imagery.
Nighttime light maps also have gained traction as measures of urban extent and as ways to gauge changes in economic activity in large urban centers. They are probably less useful for documenting smaller settlements, which may be dimmer or have little significant variation in brightness. It is important to correct these types of maps for “overglow” measurement effects—where certain light may “bleed” or obscure the shapes and forms of very large, bright urban areas in relation to adjacent smaller and dimmer settlements (newer VIIRs maps have made some important advances in correcting this).
(land surface coverage comprised of buildings and roads) and population growth across time and space. This impacts how policymakers may understand and prioritize the challenges cities face and what investments or reforms may be needed. In a new paper, “Bright Lights, Big Cities: a Review of Research and Findings on Global Urban Expansion,” I provide a brief introduction to some of the current approaches for measuring urban expansion and review the comparative findings of some recent studies.
The UN’s World Urbanization Prospects (WUP), perhaps the most comprehensive and widely cited measure of urbanization across the world, draws from a compilation of country-level population totals based on administrative definitions. A key weakness with this set is that since each country defines “urban” differently, it is difficult to accurately compare one country’s urbanization to another, as well as to estimate the urban population of a group of countries or the world itself. Recent work has provided more sophisticated ways to measure urban growth and expansion using both satellite map data and careful application of population data.
We may not know exactly what the world will look like in two decades, but we know this: it is going to be a world of cities.
Each year, urban areas are growing by an average of more than 75 million people – more than the population of the world’s 85 smallest countries combined.
For the world’s economy, this is great news, since cities produce 80 percent of global GDP, despite currently being home to only 55 percent of the population. But it is a problem for urban infrastructure, which can’t keep up with such fast-paced growth. As a result, – from flooding and landslides that can decimate informal housing settlements, to earthquakes that can devastate power grids and water systems.
These risks could be disastrous for the urban poor, 881 million of whom currently live in slums (up 28 percent since 2000). And climate change – which is increasing the intensity and frequency of natural disasters – will only exacerbate the problem. For this reason, multilateral and government institutions now see resilience and climate adaptation as integral pillars of development.
The Swiss State Secretariat for Economic Affairs (SECO), for example, considers low-emission and climate-resilient economies to be key to global competitiveness. A recent report by the World Bank and the Global Facility for Disaster Reduction and Recovery (GFDRR) found that climate change may force up to 77 million urban residents into poverty by 2030 – unless we take action to improve the resilience of cities around the world.
The adverse impacts on the health and economic wellbeing of LGBTI groups—as well as on economies and societies at large—tell us one thing: exclusion and
We’ve already taken the first steps to address this issue, such as quantifying the loss in productivity, but there is still a long way to go. Robust, quantitative data on differential development experiences and outcomes of LGBTI people is crucial, but remains scarce especially in developing countries. Such a research and data gap poses a major constraint in designing and implementing more inclusive programs and policies.
The World Bank’s SOGI Task Force—consisting of representatives from various global practices and country offices, the Gender Cross-cutting Solution Area, as well as the GLOBE staff resource group—has identified the need for quantitative data on LGBTI as a priority.
On Zero Discrimination Day, the World Bank’s Senior Director Ede Ijjasz-Vasquez and SOGI Advisor Clifton Cortez explain the urgent need to fill the LGBTI data gap. They’ve also discussed , as well as what can be done to end poverty and inequality for LGBTI and other excluded groups.
Editor's note: This blog post is part of a series for the 'Bureaucracy Lab', a World Bank initiative to better understand the world's public officials.
State capacity is clearly fundamental to development, and the motivation and productivity of the personnel working in the state is clearly fundamental to state capacity.
, and 50 to 60 percent of formal sector or salaried workers in developing countries. This fact alone warrants a detailed understanding of the functioning of public sector labor markets and their influence on the broader labor market, particularly as the characteristics of public sector workers—their gender, age, and skills profiles, for instance—can be quite different from their private sector counterparts.
But more importantly, the motivation of government workers and thereby the productivity of government bureaucracies impacts almost everything else in an economy, from business regulations, to infrastructure provision, to the delivery of services.