Belt and Road Initiative: Development Paths in Comparison
This project explores whether countries participating in the Belt and Road Initiative show different development trajectories from comparable non-BRI countries. Using World Development Indicators, we compare long-run trends, country-level snapshots, and regional changes across economic and infrastructure-related measures.
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Project Introduction
Launched in 2013, the Belt and Road Initiative (BRI) is often associated with infrastructure, trade connectivity, and regional cooperation. But do BRI countries actually look different in the data? This dashboard approaches that question descriptively, comparing BRI and non-BRI countries across time and space.
Instead of reducing the story to one indicator, the site combines a world map, long-run trend lines, a country snapshot scatter plot, and a post-2013 change chart. Together, these views show both average patterns and the heterogeneity hidden behind them.
Where Are BRI Countries Located?
The map gives a spatial overview of BRI and non-BRI countries in our dataset. Click any country to inspect its classification and open a radar profile of its development indicators over time.
Green countries are labeled as BRI participants, grey countries are non-BRI/control countries, orange marks China, and light grey means no classification is available.
Time Trends Across Countries
This section keeps the main time-series view. It shows how key development indicators evolve from 2000 onward for BRI and non-BRI countries.
The vertical reference lines highlight 2013, when the BRI was announced, and 2019 as a later reference point. Together they help users inspect whether average trajectories appear to diverge, converge, or remain similar across groups.
Solid line = BRI average, dashed line = non-BRI average. The country selector is added automatically by the script.
Development Snapshot in a Single Year
Each dot is a country. The x-axis shows GDP per capita (log scale), the y-axis shows internet use. Color indicates BRI status. This makes within-group heterogeneity visible much better than a single summary statistic.
Instead of another boxplot, this snapshot view lets users see the spread of countries directly. It answers a more intuitive question: where do individual countries sit in the development space for a given year?
Countries in the upper-right tend to combine higher income with wider internet adoption, while those in the lower-left are still earlier in that transition. Because every country appears as a point, outliers and clusters become much easier to notice.
- Use the year slider to move from early 2000s conditions to more recent snapshots.
- Use the region filter to see whether the same BRI/non-BRI pattern holds within Africa, Asia, or Europe.
- Hover a point to read the exact country values.
How Much Did Regions Change After 2013?
Bars show the change in regional averages between 2013 and the selected end year. Positive bars indicate improvement on the selected indicator; negative bars indicate decline.
Why this view works better
Your earlier “Data and Methods” panel was mostly text. This replacement turns it into an analytical visualization. The chart directly summarizes post-2013 change, which is probably one of the first comparisons a user wants to make.
The bar layout also complements the line chart nicely: the line chart shows full trajectories, while this view compresses them into a simple comparison of change magnitude.
Read it as descriptive evidence, not causal proof. It helps identify where BRI and non-BRI regions appear to move differently, and where they do not.