The youth employment challenge is a stubborn reality in all regions and nearly every country. Over 35 per cent of the estimated 201 million unemployed people today are youth (between the ages of 15 and 24). Worldwide, the challenge is not only to create jobs but to ensure quality jobs for young people who are often underemployed, work in the informal economy, or engage in vulnerable employment. Today, two out of every five young people in the labor force are either working but poor or unemployed.
The food system currently employs the majority of people in developing countries, both in self and wage employment. And, according to our recent paper on jobs, all signs indicate that this system — which includes agriculture, as well as beyond-farm jobs in food processing, transportation, restaurants and others — will continue to be a major engine for job creation in the foreseeable future. As economies all over the world are confronted with the challenge of creating around 1.6 billion jobs over the next 15 years, it is important to harness the potential for job generation through productive alliances.
How can we provide employment to the 1.8 billion young people that live on this planet? Will we have enough jobs for all these young people? Will there be sufficient high-quality and high-productivity work, especially for women, who are often the most vulnerable when it comes to finding meaningful work?
According to the World Bank Development Report on Digital Dividends (2016), the rapid spread of digital technologies around the world is boosting economic growth and expands opportunities in many instances; but the benefits of technological changes are not evenly distributed to workers globally. For high-skilled workers, technology in most cases complements their skills, increases their productivity, and often leads to higher wages. Whereas for middle and low-skilled workers, benefits depend on the degree to which technology either complements or substitutes workers in job functions.
Methods that use satellite data and machine learning present a good peek into how Big Data and new analytical methods will change how we measure poverty. I am not a poverty specialist, so I am wondering if these data and techniques can help in how we estimate job growth.
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We are developing Macro Simulation Models to estimate how investments and interventions may generate jobs. Following the Jobs Study conducted by the International Finance Corporation (IFC), the World Bank Group’s private sector arm, the Let’s Work Partnership was established to develop, refine, and apply tools to estimate direct, indirect, and induced job effects. Macro models are one of these tools.
This year’s International Women’s Day “Women in the Changing World of Work: Planet 50-50 by 2030” places great emphasis on equality and economic empowerment. When countries give women greater opportunities to participate in the economy, the benefits extend far beyond individual girls and women but also to societies and economies as a whole. A recent study shows that raising labor participation of women at par with men can increase GDP in the United States by 5 percent, in the UAE by 12 percent and in Egypt by 34 percent.
My colleague Victoria and I had an opportunity recently to meet with students at the Tajik-Russian Slavonic University in Dushanbe, Tajikistan, as part of our research and preparation for a new report called Tajikistan Jobs Diagnostic: Strategic Framework for Jobs.
Curious to learn about their future professional ambitions, we asked one class of students how many of them would like to work in the private sector after they graduate. Only about 10% of the students raised their hands. We also asked them how many would like to work for the government. This time, around 20% raised their hands.
In addition to correctly measuring the jobs directly generated from interventions and investments, development agencies also need to estimate the resulting indirect impacts and general equilibrium effects. These are hard to measure. My recent blog highlighted the progress that donors, international financial institutions, and other multilateral agencies are making in developing standardized tools to measure these impacts. In addition to standardization, the focus is now on strengthening existing measurement tools and addressing the challenges that are left.