• Graduate Programs
  • Research
  • Browse our Courses
  • Events
    • Events Calendar
    • Events Archive
    • Summer School
      • Applied Public Policy Evaluation
      • Deep Learning
      • Development Economics
      • Economics of Blockchain and Digital Currencies
      • Economics of Climate Change
      • The Economics of Crime
      • Foundations of Machine Learning with Applications in Python
      • From Preference to Choice: The Economic Theory of Decision-Making
      • Inequalities in Health and Healthcare
      • Marketing Research with Purpose
      • Markets with Frictions
      • Modern Toolbox for Spatial and Functional Data
      • Sustainable Finance
      • Tuition Fees and Payment
      • Business Data Science Summer School Program
    • Tinbergen Institute Lectures
    • 2026 Tinbergen Institute Opening Conference
    • Annual Tinbergen Institute Conference
  • News
  • Summer School
    • Applied Public Policy Evaluation
    • Deep Learning
    • Development Economics
    • Economics of Blockchain and Digital Currencies
    • Economics of Climate Change
    • The Economics of Crime
    • Foundations of Machine Learning with Applications in Python
    • From Preference to Choice: The Economic Theory of Decision-Making
    • Inequalities in Health and Healthcare
    • Marketing Research with Purpose
    • Markets with Frictions
    • Modern Toolbox for Spatial and Functional Data
    • Sustainable Finance
    • Tuition Fees and Payment
  • Alumni

Egger, PeterH., Loumeau, G. and Loumeau, N. (2023). China's dazzling transport-infrastructure growth: Measurement and effects Journal of International Economics, 142:1--22.


  • Affiliated author
    Gabriel Loumeau
  • Publication year
    2023
  • Journal
    Journal of International Economics

We document an unprecedented change in the size and the quality of China's transport-infrastructure network between 2000 and 2013 based on hand-collected and digitized data on roads and railways. The changes are summarized and portrayed as shortest-possible transport times of people and goods between 330 prefectures of mainland China. A quantitative model of China's prefectures and a Rest of the World, featuring both goods trade and migration, suggests that the transport-infrastructure changes induced regional convergence of lagging-behind prefectures in terms of population density and, to a lesser extent, of real per-capita income. Not only changes in highway and high-speed-railway networks but also ones in lower-level road and railway networks are quantitatively important.