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Three policies to promote a more inclusive future of work

Luc Christiaensen's picture
 Arne Hoel/World Bank
Even if the technologies are available, businesses and individuals often lack the necessary skills to use them. And these skill gaps exist at multiple levels. 
(Photo: Arne Hoel/World Bank)

As we explained in previous posts, digital technologies present both threats and opportunities for the employment agenda in developing countries. Yet many countries lack the means to take full advantage of these opportunities, because of limited access to technology, a lack of skills, and the absence of a broad enabling environment, the so-called “analog” complements.


How can Zambia create 1 million jobs?

Ina-Marlene Ruthenberg's picture
What needs to happen over the next five years if Zambia’s National Development Plan to reduce poverty and inequality is to be realized?
What needs to happen over the next five years if Zambia’s National Development Plan to reduce poverty and inequality is to be realized? (Photo: Arne Hoel/World Bank)


During a meeting with top government officials in Zambia recently, the World Bank Regional Vice-president for Africa, Makhtar Diop, asked what was at the top of their minds. "Jobs!", was their unanimous response. He turned around to his team and said: "Please continue to focus on jobs and support the government in achieving their ambition." Indeed, jobs is an issue we have been focusing on in Zambia for over a year.

The Future of Work: The number of jobs is not the only thing at stake

Siddhartha Raja's picture
Photo of computer lab. Technology is a great job-creating machine. But will these new jobs be better or worse?
Technology is a great job-creating machine. But will these new jobs be better or worse? (Photo: John Hogg / World Bank)

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, technology is reshaping the world of work not only by automating production but also by facilitating connectivity and innovation. 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.

Can technology reshape the world of work for developing countries?

Luc Christiaensen's picture
 
 Sarah Farhat / World Bank
Automation, connectivity, and innovation will together determine how world of work will look in both developed and developing countries.​ (Photo: Sarah Farhat / World Bank)

The Future of Work was not only the first topic of this year’s G20 Labor and Employment Ministerial Meeting, it's also white hot in today’s blogosphere. Yet most pieces portray a developed world perspective with an emphasis on robots, and how they are taking the jobs away, and skills development as the key policy response. But what does the rapid technological change mean for global poverty and inequality? How does it affect the world of work in developing countries?

A perspective on jobs from the G20

Luc Christiaensen's picture
Factory workers in Ghana
When talking about the Future of Work, it is important to go beyond discussing robots and changes in employer-worker relationships; these might not be the primary labor market problem that low-income countries face. (Photo: Dominic Chavez/World Bank)

On May 18-19, the G20 Ministers of Labor met in Bad Neuenahr, Germany to discuss and adopt their annual Labor and Employment Ministerial Meeting (LEMM) Declaration advocating for "an integrated set of policies that places people and jobs at center stage." In this, the meeting did not shy away from some of the more thorny issues to reach the overarching goal of fostering "inclusive growth and a global economy that works for everyone." It focused on the much-feared future-of-work, the longstanding challenge of more and better employment for women, better integration of recognized migrants and refugees in domestic labor markets, and ensuring decent work in the international supply chains.  

Four ways to maximize the effectiveness of youth employment programs

Jochen Kluve's picture
Youth employment programs have shown positive effects on skills development, entrepreneurship, subsidized employment, and employment services for youth. Photo © Dominic Chavez/World Bank

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.

Three lessons to boost job creation through productive alliances in the food system

Ethel Sennhauser's picture
 
The job creation challenge is intensifying. And the next generation of productive alliances must tap its potential more proactively. What are the best ways to optimize this approach towards boosting employment?
The job creation challenge is intensifying. And the next generation of productive alliances must tap its potential more proactively. What are the best ways to optimize this approach towards boosting employment? (Photo: Chhor Sokunthea / World Bank)


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.

Crisis as opportunity: Rethinking youth unemployment together

Julie Simonne De Moyer's picture
As “change” has become the status quo and innovation often outpaces adaptation, there is now the opportunity to help young people prepare for a new digital world. (Photo: Charlotte Kesl/World Bank)

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? The size of the youth employment challenge – and opportunity – is enormous. That’s why we need all the help we can get.

Five strategies to help youth succeed in the digital age

Estera Barbarasa's picture
The rapid spread of digital technologies is expanding opportunities in many instances; but the benefits of technological changes are not evenly distributed to workers globally. (Photo: Masaru Goto / World Bank)


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.

Can new developments in machine learning and satellite imagery be used to estimate jobs?

Alvaro Gonzalez's picture
 Orbital Insight satellite imagery/Airbus Defense and Space and DigitalGlobe)
"Before" and "after" satellite images analyzed for agricultural land, using algorithms. (Photo: Orbital Insight satellite imagery/Airbus Defense and Space and DigitalGlobe)


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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