Video: #IMAGINE a better future for all children | UNICEF
One of my favorite songs when I was growing up was John Lennon’s “Imagine.” A few months ago, UNICEF created a project around it to highlight the plight of millions of refugee children. As 2016 drew to a close, I couldn’t help but imagine a world with high-quality, affordable, sustainable, well-maintained infrastructure services for everyone.
I’m not sure a video of infrastructure projects set to “Imagine” would fire people up as much as the UNICEF video does. But there is value in reflecting on what we have accomplished in 2016, and what we might hope for and imagine in 2017, to bring this vision closer to reality for millions of people.
Poverty maps are a useful tool to visualize and compare poverty rates across geographic areas, and learn about how poverty is distributed within a country, which is often times masked in national or aggregated statistics. For instance, the national poverty rate in Bangladesh in 2010 was 31.5 percent, which is the latest year for which a household survey was collected by the government to produce official poverty numbers.
However, a look at zila (district) and upazila (sub-district) level poverty rates suggests that poverty levels differ quite substantially across the different areas of the country with large pockets of poverty concentrated in the north and south-west part of the country. For example, some of the zilas in the north belonging to the Rangpur and Dhaka divisions are among the poorest in the country with poverty rates well above 50 percent while some of the zilas in the south-east belonging to the Chittagong division have poverty rates well below 20 percent.
While country level poverty maps are generally widely available, accessing the underlying information is not always easy or is unavailable in a user-friendly format. Moreover, there is not a straightforward way to link these disaggregated poverty statistics with other socio-economic indicators and even if one attempts to do, it might take a substantial amount of time to put together all this information.
Specifically, poverty maps are often times disseminated in the form of printed reports, which do not allow users to directly access the data in a digitized format or link it to other socio-economic statistics. Lowering barriers to access poverty statistics and facilitating the linking of these indicators to other non-monetary living standards statistics is important to facilitate the use of poverty statistics, make them more relevant for policy and program planning, and promote more evidence-based policymaking.
Stories and anecdotes of how migrants contribute to our economies are everywhere. A recently released McKinsey Global Institute report put some numbers to it. Migrants account for only 3.4% of the global population but produce 9.4% of the world output, or some $6.7 trillion. That’s almost as large as the size of the GDP of France, Germany and Switzerland combined. Compared to what they would’ve produced had they stayed at home, they add $3 trillion – that’s about the economic output of India and Indonesia combined.
Differentiating between effective and nominal access
A couple of months ago, one of our urban development colleagues wrote about the gap between effective and nominal access to water infrastructure services. She explained that while many of the households in the study area were equipped with the infrastructure to supply clean water, a large number of them do not use it because of its price. She highlighted a “simple fact: it is not sufficient to have a service in your house, your yard, or your street. The service needs to work and you should be able to use it. If you can’t afford it or if features—such as design, location, or quality—prevent its use, you are not benefiting from that service.” To address this concern, the water practice has been developing ways to differentiate between “effective access” and “nominal access”—between having access to an infrastructure or service and being able to use it.
In transport, too, we have been exploring similar issues. In a series of blog posts on accessibility, we have looked at the way accessibility tools—the ability to quantify the opportunities that are accessible using a transit system—are reframing how we understand, evaluate, and plan transport systems. We have used this method that allows us to assess the effectiveness of public transport in connecting people to employment opportunities within a 60-minute commute.
Incorporating considerations of cost
Yet, time is not the only constraint that people face when using public transport systems. In Bogota, for example, the average percentage of monthly income that an individual spends on transport exceeds 20% for those in the lowest income group. In some parts of the city, this reaches up to 28%—well above the internationally acceptable level of affordability of 15%.
On December 14th and 15th donor and borrower country representatives of the World Bank Group will meet in Yogyakarta, Indonesia to finalize details for the 18th replenishment of IDA. The final agreement on IDA18 is expected to usher in a new era for IDA, the Bank’s fund for the poorest, dramatically increasing the level of financing and the potential for impact on development for the world’s poorest countries.
Central to the discussions on IDA over the past year has been the issue of jobs – how to deliver more jobs to meet the demands of a growing youth population; how best to improve job quality, particularly for the vast majority of workers in IDA countries who struggle in subsistence-level self-employment and other forms of informal employment; and how to make jobs more inclusive to women, youth, and populations in remote and lagging regions.
Samantha Amerasinghe, a guest blogger, is an economist for the Thematic Research team at Standard Chartered.
Dubbed the ‘fourth industrial revolution’, technology disruption could be a key growth driver for economies over the coming years. But for women, advances in technology also pose a threat, as many of their jobs could be displaced. A perfect storm of technological trends, from mobile internet and cloud technology to ‘big data’ and the ‘internet of things’, means that, as new work trends evolve, existing gender inequalities could worsen further.
During my recent mission visit to Sivagangai District in Tamil Nadu, India, I met with Mr. Kannan, a social entrepreneur. I was visiting communities to understand the latest efforts under the Tamil Nadu Empowerment and Poverty Reduction Project (TNEPRP) to support the differently abled with economic activities following their identification and mobilization. For six months now, Mr. Kannan is running a Community Skills School (CSS), an innovative approach to skills enhancement, in the Kalaikulam Village. At the school, which provides self-identified and motivated trainees with skills to repair home appliances, Mr. Kannan has already trained 70 differently abled men and three women. Among the trainees is his wife, who is differently abled herself, but is of huge support to Mr. Kannan in running the CSS and in working with women. He has an agreement with TNEPRP to train a total of 180 differently abled, including a planned group of 30 women.
He has an agreement with TNEPRP to train a total of 180 differently abled, including a planned group of 30 women. Run on a guild program model, the CSS ensures that upon completion of a one-month program on skills enhancement, the trainees can become self-employed or work in small enterprises repairing home appliances in their own and neighboring villages. The rapid urbanization of rural Tamil Nadu offers plenty of such opportunities.
Mr. Kannan designed the key aspect of the curriculum—which goes beyond technical training—based on his own life experiences. During our conversation, I found out that Mr. Kannan is differently abled himself—he was afflicted with polio at the age of three and has lost the use of both his lower limbs. As a result, Mr. Kannan needed a wheelchair to get around. Nevertheless, he was not deterred and continued his education to receive a diploma in mechanical engineering from a local Polytechnic. He ended up at Samsung’s service center in Chennai, the state capital, where he spent four years acquiring skills in home appliance repair.
A World Bank study in Argentina highlighted that women “have more complex travel patterns, travel more, and have more travel needs at off-peak hours, which are often not related to work and associated with fixed destinations (e.g. child care).” As a result, they are constrained to smaller commutes and, by association, fewer employment opportunities. In addition to using public transport at different times, frequencies, and for alternate purposes, data from other countries also indicates that many women face significant security challenges when using public transport.
To dig deeper on this and identify what kind of complementary interventions could help ensure mass transit investments bring women the best accessibility benefits, we conducted preliminary research in Mexico City with support from the World Bank Youth Innovation Fund.
Our primary objective was to figure out what encourages or inhibits women’s use of mass transit systems, and to understand how these systems influence their decisions to find employment or better employment.
There is much speculation about what share of jobs might be automated by increasingly smart machines. One estimate suggests that countries such as the U.S. would see almost half of today’s jobs disappearing, while another estimate suggests that this might be just about one in ten jobs. But less is known about who will lose their jobs due to these transitions. And more critically, what might happen to the bottom 40 percent of the population of emerging countries that have only recently been exposed to basic digital technologies? Will they gain from technological progress, or will they face the negative effects of both exclusion and of others—countries or the better off—pulling ahead?