H1 2019 Private Participation in Infrastructure (PPI)

The Private Participation in Infrastructure Database is a product of the World Bank Group’s Infrastructure, PPPs & Guarantees team. Its purpose is to identify and disseminate information on private participation in infrastructure projects in low- and middle-income countries. The database highlights the contractual arrangements used to attract private investment, the sources and destination of investment flows, and information on the main investors.

Open Data + Increased Disclosure = Better PPPs

The benefits of open and participatory public procurement are increasingly being recognized by international bodies such as the G20, the Organization for Economic Co-operation and Development, and the multilateral development banks. Value for money, more competition, and better goods and services for citizens all result from increased disclosure of contract data. Greater openness is also an effective tool to fight fraud and corruption. 

Next Gen PPPs: Tackling asset management and big data like the NFL

"Black Monday” in the National Football League (NFL) is the day after the final regular season games are played across the United States in early January. It is a day of reckoning for the coaches and general managers of 20 of the NFL’s 32 teams. Performance is assessed and failure to meet lofty expectations often results in a carousel of changes for the teams that did not make the playoffs.

Global PPI Update 2015

 

The World Bank Group’s Private Participation in Infrastructure Database is the leading global source of data on trends in the developing world, covering infrastructure projects in the energy, transport, and water and sewerage sectors. Covering the period from 1990 to 2015, the database reviews over 8,000 projects across 139 low- and middle-income economies and provides a rich source of data on private infrastructure investment in emerging markets.

Why Less Means More for PPPs and Data: Keys to collecting the right information

Sir Arthur Conan Doyle’s character, Sherlock Holmes, is a master at using data. With his unparalleled intellect and observational skills, Holmes has an uncanny ability to collect data— but collecting isn’t enough. In order to solve his cases, he needs to not only collect data, but understand which elements apply to the issues at hand and which to discard as irrelevant. Holmes needs the “right” data.