South Asia’s transition away from fossil fuels will have significant labor market impacts, which could leave many workers stranded in lower-wage jobs in declining industries.

Margaret Triyana |

Between 18 to 20 million people join the working-age population in South Asia, every year, but only a third to a half of them will be employed.

Mathew Verghis, Meriem Ait Ali Slimane |

South Asia is making progress, but at a slower pace than in the pre-pandemic years and still has a long way to go, according to the World Bank's latest economic outlook.

Martin Raiser |

South Asia, battered by three years of upheaval from the COVID-19 pandemic and spillovers from Russia’s invasion of Ukraine, faces a combination of good and bad news for its economies. On the…

Jiemin Ren, Zoe Leiyu Xie |

At the border between India and Bangladesh, a new digital platform is helping authorities process trucks faster and make trade more efficient—an important and encouraging first step toward…

Shruti Vijayakumar, Mitali Nikore |

This blog is a biweekly feature highlighting recent working papers from around the World Bank Group. It introduces six papers published in January of 2023 on various topics, including gender,…

Marcelo Buitron, Policy Research Working Paper team |

The COVID-19 pandemic pushed two of the most disadvantaged groups out of work: women and youth.

Valerie Mercer-Blackman, Vanessa Olakemi Dovonou |

This blog is a biweekly feature highlighting recent working papers from around the World Bank Group. It introduces four papers published from November 1 to November 15 on various topics, including…

Marcelo Buitron, Policy Research Working Paper team |

This blog is a biweekly feature highlighting recent working papers from around the World Bank Group. It introduces four papers published from October 1 to October 15 on various topics, including…

Marcelo Buitron, Policy Research Working Paper team |

Detailed data on the spatial distribution of jobs is crucial, but such data are rarely available. This study develops a machine learning algorithm that relies on widely available public data to…

Paolo Avner, Jun Rentschler, Samira Barzin, Neave O'Clery |