Finding a good job is increasingly difficult – especially for young people. Globally, young people are up to four times more likely to be unemployed than adults. Furthermore, the lack of opportunity can have devastating consequences for their long-term employment outcomes. Youth often lack the skills and competencies that are in high demand from employers, but they also face information gaps about which relevant skills they should signal to prospective employers.
To better understand youth and skills trends in emerging markets, the Solutions for Youth Employment (S4YE) Coalition embarked on a research collaboration with LinkedIn to analyze demand and supply side data from 390,000 entry-level job postings and 6.4 million LinkedIn profiles of young people (aged 21-29) in four diverse middle-income countries. Using big data analytics, the recently released report The Skills Gap or Signaling Gap: Insights from LinkedIn in emerging markets of Brazil, India, Indonesia, and South Africa brings the following three insights on what skills employers in those countries are looking for in youth hires.
The way we communicate, produce, and relate to technology is evolving quickly.
Tell me something I don’t know, you’ll say.
That’s where Benedict Evans, a prominent tech guru from the venture capital firm Andreessen Horowitz ('a16z') in Silicon Valley, comes in. In a recent presentation at the World Bank (Mobile is Eating the World) Evans shared inspiring, and at times, unnerving insights on how technology is shaping our world and how it might impact the global development community. Here are some key takeaways:
Most of the discussion about the future of work focuses on how many jobs robots will take from humans. But this is just a (small) part of the change to come. As we explained in our previous blog, The changes that digital technology is introducing in the price of capital versus labor, the costs of transacting, the economies of scale, and the speed of innovation bring significant effects in three dimensions: the quantity, the quality, and the distribution of jobs. Let’s see them in detail.
Let’s be honest. The Middle East and North Africa is burning, and in some areas it is literally burning. Conflict and fragility have long warped what once was the cradle of civilization and the inspiration for the many inventions we can’t live without today. However, in the midst of that fire hope rises, a driver of change that is transforming the ugly reality into a bright future.
After I fled the war in Iraq in 2006, I was pessimistic about what the future was holding for that region. Year after another, the domino-effect of collapse became a reality that shaped the region and its people. Yet, fast-forward to 2017, I have witnessed what I never thought I would see in my lifetime: the new renaissance in the Middle East and North Africa.
I have just recently come back from attending the World Economic Forum on the Middle East and North Africa at the Dead Sea in Jordan. This year, the Forum and the International Finance Corporation (IFC), the private sector arm of the World Bank Group, partnered to bring together 100 Arab start-ups that are shaping the Fourth Industrial Revolution.
There, the positive vibe was all around; no negativity, no pessimism. Instead there was a new sense of optimism and enthusiasm, hunger for change, and the will to take the region to a whole new future, away from conflict and the current norm of pessimism.
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.
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.
“By introducing an automated customer management system we took a noose and put it around our own necks. We are now accountable!”
This reflection from a manager in the Nairobi Public Water and Sewerage utility succinctly captures the impact of MajiVoice, a digital system that logs customer complaints, enables managers to assign the issue to a specific worker, track its resolution, and report back to the customer via an SMS. As a result, complaint resolution rates have doubled, and the time taken to resolve complaints has dropped by 90 percent.
MajiVoice shows that digital technologies can dramatically improve public sector capacity and accountability in otherwise weak governance environments. But is this example replicable? Can the increasingly cheap and ubiquitous digital technologies—there are now 4.7 billion mobile phone users in the world—move the needle on governance and make bureaucrats more accountable?
Like much of Sub-Saharan Africa, the Eastern and Southern Africa region has seen significant economic growth in recent years, largely relying on agriculture and extractives. However, it hasn’t been able to keep up with the skilled labor demanded by the region’s required economic transformation for further growth. Surveys reveal that firms in the region now face acute challenges in developing research and development (R&D) capacity and filling technical and managerial positions – not just due to inadequate production of college graduates that have been rising over the years, but also due to low quality and relevance of current education and training at the tertiary level.
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.
A technology bootcamp in Medellín, Colombia. © Corporación Ruta N Medellín/World Bank
The fourth industrial revolution is disrupting business models and transforming employment. It is estimated that 65 percent of children entering primary school today will, in the future, be working in new job types that do not exist today. These changes have been more noticeable in developed countries, with the 2008 financial crisis accelerating this transformation process. However, they are also affecting emerging economies that have traditionally relied on routine blue-collar jobs (e.g., textiles, manufacturing or business process outsourcing) for broad employment and economic development.
Start-ups are at the core of these disruptions in business models. In recent years, we have witnessed how completely new market categories have been created out of the blue, transforming entire sectors of the economy, including transportation, logistics, hospitality, and manufacturing. When start-ups disrupt a market, a new business category is created and new sources of growth and employment are generated.
When we think about start-ups and employment, the first thing that come to mind is the start-up founders, typically highly educated and motivated individuals. However, evidence from New York startup ecosystem, a testing ground of new jobs generated through technology after the financial crisis, suggests otherwise.
First, most of the jobs generated by the tech start-up ecosystem are not in start-ups but in the traditional industries that either are influenced or disrupted by start-up technologies (with over three times more employment generated in the non-tech traditional industry).
Second, more than 40 percent of these new jobs did not require bachelor’s degree skills or above. These are jobs like building a website, a basic database, a web or mobile app.
What are the skills needed to fill these categories — which we can call tech blue-collar skill jobs — and how people are being trained for them?