Digital G2P payments offer more than convenience—they offer financial inclusion. Explore how the World Bank's G2Px initiative is transforming recipient experiences globally.

Georgina Marin, Minita Varghese, Ambrose Wong |

Achieving universal early warning system access is challenging, particularly in regions affected by fragility, conflict and violence, where financial and human resources are scarce, and where…

Lara Loussert, Karima Ben Bih, Vladimir Tsirkunov, Anna-Maria Bogdanova |

In Haiti, violence against women is rising, driven by the recent proliferation of gang attacks, kidnappings, and political and economic upheaval.

Bruce MacPhail |

The Quality Infrastructure Investment (QII) Partnership, a World Bank-Japan initiative providing grant support for incorporating the G20 QII Principles, kick-starts infrastructure investments…

Naomitsu Nakagawa |

After struggling to recover from the shocks of the 2010 earthquake and Hurricane Matthew in 2016, Haiti’s economic development continues to be hampered by political instability, institutional…

Ivy Kuperberg, Christian Zeballos |

That refugees want to return is sometimes taken as a given, and their motivation for repatriating is assumed. Repatriation is often discussed in terms of a return “home” even a generation or more…

Xavier Devictor |

While infrastructure has been perceived as gender-neutral, it can be deeply exclusionary if masculine sensibilities solely determine the design. How can private investors incentivize gender…

Luciana Guimaraes Drummond e Silva |

The Cooperation in International Waters in Africa (CIWA)’s origin story has its roots in the Nile Basin. On February 22nd (Nile Day), to celebrate the Nile, the world’s longest river which…

Ai-Ju Huang, Shyam KC |

The 4th World Bank Tax Conference exposed the magnitude of the challenge to build equitable tax systems via policies that improve compliance of the very wealthy. This blog highlights a summary of…

Pierre Bachas, Chiara Bronchi, Thiago Scot, Claudia Vargas |

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 |