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Groningen Growth and Development Centre
Faculty of Economics and Business
GGDC

Groningen Growth and Development Centre

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Welcome to the Groningen Growth and Development Centre (GGDC). The GGDC is a platform for research on economic growth and development. This research is largely based on a range of comprehensive databases on indicators of growth and development that the Centre compiles and maintains on a regular basis. Furthermore the GGDC organises seminars and conferences.

Making research data widely available

This website is divided into four main research areas: Productivity, Value Chains, Historical Development and Structural Change. Each area includes several databases, along with documentation, references to related research papers, as well as relevant news items and events.

For news about our most recent activities, please check out our newsfeed.

News GGDC

GGDC Releases Productivity Level Database 2023 Edition
Date:23 October 2023

Comparing productivity at the sectoral level requires estimates of relatives prices at the sectoral level. The 2023 edition of the Productivity Level Database provides the most comprehensive GGDC dataset to date, covering 84 countries and 12 sectors across...

Interview with Robert Inklaar on achieving impact with open data
Date:20 October 2023

Last month GGDC director Robert Inklaar, gave an interview for the Open Science blog of the University of Groningen Library. Part of open science is that researchers make their data FAIR: Findable, Accessible, Interoperable and Reusable. But how to do...

Next GGDC Conference in May 2024
Date:21 July 2023

We are delighted to announce the upcoming GGDC conference on Tuesday, May 28, 2024, and Wednesday, May 29, 2024. The conference will take place at a convenient location in the city centre of Groningen. In the coming months, we will be sharing further...

TPI blog on the Penn World Table
Date:18 July 2023

The Productivity Institute recently published a new blog introducing the Penn World Table (PWT). Authored by Ryan Marapin, Robert Inklaar and Reitze Gouma, this blog showcases two example analyses that illustrate the potential of the PWT data set, along...

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