• Skip to Content
  • AidData, a research lab at William and MaryAidData, a research lab at William and Mary
  • Data
  • Publications
  • Menu
  • Search

Research

  • Data
  • Publications

Resources

  • GeoQuery
  • Chinese Global Public Diplomacy Dashboard
  • Search Chinese Development Projects
  • Access Chinese Loan Contracts

TOPICS

  • China
  • Agriculture & Environment
  • Gender Equity
  • Global Goals
  • Health
  • Infrastructure
  • Machine Learning

Discover

  • About AidData
  • Blog
  • Contact Us
  • Events
  • In the News
  • Join the Team
  • Partners
  • People

Home / In the News / Media Article

2019-04-26

Belt and Road construction to focus on high-quality cooperation

View On
China Global Television Network (CGTN)
↗

Related AidData Publications

Working Paper
64

Connective Financing: Chinese Infrastructure Projects and the Diffusion of Economic Activity in Developing Countries

2018-09-11

Related Datasets

Geocoded China Data

AidData's Geocoded Global Chinese Official Finance Dataset, Version 1.1.1

This dataset geolocates Chinese Government-financed projects that were implemented between 2000-2014. It captures 3,485 projects worth $273.6 billion in total official financing. The dataset includes both Chinese aid and non-concessional official financing.

Related Blog Posts

September 11, 2018

Chinese infrastructure investments reduce inequalities in developing countries

A new AidData working paper analyzes Chinese infrastructure's impacts using the most comprehensive dataset of Chinese development project locations ever assembled.

Get our Newsletter!
Link to AidData Facebook PageLink to AidData Twitter FeedLink to AidData LinkedIn page

Discover

  • About AidData
  • Blog
  • Contact Us
  • Events
  • In the News
  • Join the Team
  • Partnerships
  • People

Programs

  • Chinese Development Finance
  • GeoQuery
  • Geospatial Impact Evaluations
  • Listening to Leaders
  • Transparent Development Footprints

Research

  • Data
  • Publications

TopicS

  • China
  • Environment
  • Gender
  • Global Goals
  • Health
  • Infrastructure
  • Machine Learning
William and Mary Official Crest