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skills building

Logistics: Building skills to prepare for the jobs of tomorrow

Yin Yin Lam's picture


As one of the key foundations for manufacturing, trade and growth, logistics is a strategic component of every economy. The sector can also contribute significantly to job creation. For example, in the UK, logistics is a $120billion industry that employs about 8% of the workforce. In India, it is a $160billion industry accounting for 22 million jobs, with employment growing 8% annually.

In 2016 and 2018, the World Bank’s Logistics Performance Index found that many developing countries face a significant skills gap in the logistics sector, especially at the managerial level. Similarly, several studies conducted in emerging economies such as China, India, and South Africa report shortages of supply chain talent.

In that context, emerging economies must tackle two critical challenges in order to develop a competitive logistics sector:
  • How can governments plug the skills gap in logistics?

  • How can the sector cope with the rapid changes brought about by technology, such as warehouse automation “freight uberization” or online platforms matching demand and supply, and their impact on the labor market?
Let’s look at three countries that consistently rank high in various global logistics rankings—Germany, the Netherlands, and Singapore—to see how they manage these challenges.

Data analytics for transport planning: five lessons from the field

Tatiana Peralta Quiros's picture
Photo: Justin De La Ornellas/Flickr
When we think about what transport will look like in the future, one of the key things we know is that it will be filled and underpinned by data.

We constantly hear about the unlimited opportunities coming from the use of data. However, a looming question is yet to be answered: How do we sustainably go from data to planning? The goal of governments should not be to amass the largest amount of data, but rather “to turn data into information, and information into insight.” Those insights will help drive better planning and policy making.

Last year, as part of the Word Bank’s longstanding engagement on urban transport in Argentina, we started working with the Ministry of Transport’s Planning Department to tap the potential of data analytics for transport planning. The goal was to create a set of tools that could be deployed to collect and use data for improved transport planning.

In that context, we lead the development of a tool that derives origin-destination matrices from public transport smartcards, giving us new insight into the mobility patterns of Buenos Aires residents. The project also supported the creation of a smartphone application that collects high-resolution mobility data and can be used for citizen engagement through dynamic mobility surveys. This has helped to update the transport model in Buenos Aires city metropolitan area (AMBA).

Here are some of the lessons we learnt from that experience.