This week, @AidData published the *๐˜Ž๐˜ญ๐˜ฐ๐˜ฃ๐˜ข๐˜ญ ๐˜Š๐˜ฉ๐˜ช๐˜ฏ๐˜ฆ๐˜ด๐˜ฆ ๐˜‹๐˜ฆ๐˜ท๐˜ฆ๐˜ญ๐˜ฐ๐˜ฑ๐˜ฎ๐˜ฆ๐˜ฏ๐˜ต ๐˜๐˜ช๐˜ฏ๐˜ข๐˜ฏ๐˜ค๐˜ฆ ๐˜‹๐˜ข๐˜ต๐˜ข๐˜ด๐˜ฆ๐˜ต, ๐˜๐˜ฆ๐˜ณ๐˜ด๐˜ช๐˜ฐ๐˜ฏ 2.0* Data here: aiddata.org/data/chinese-gloโ€ฆ It's a great resource for researchers studying China and global development. Here's why:
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Scope: The dataset includes 13,427 development projects worth $843 billion in 165 countries over 18 years (2000-2017). Plus, project implementation details run through 2021.
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Granularity: As always, these are project-level data. You can look at the details for any project at china.aiddata.org/. While many researchers use the dataset for quantitative analysis, project-level records also allow researchers to unpack projects one by one.
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Scope + Granularity = A dataset that supports both global and local analyses of the nature and impacts of Chinese-financed projects.
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3 major data upgrades from earlier versions: 1) Official sources: 62% -> 89% of projects now sourced by at least one of these. 2) Follow the money: Thousands of precise project milestone (e.g. groundbreaking, completion) dates and geo-referenced project locations.
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3) Financial details: Tons of data on loan terms. I recommend @AidData's new report for more on this: aiddata.org/publications/banโ€ฆ
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The data are built using the Tracking Underreported Financial Flows (TUFF) methodology. You can scrutinize any aspect of the data generation process. TUFF 2.0 is available here: aiddata.org/publications/aidโ€ฆ
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Thank you to the hundreds of staff+students at @williamandmary @global_wm for providing this public good. When I began this work 10 years ago w/ Brad Parks, @MikeTierneyIR, @fuchs_andreas, @DreherAxel et al., it was initially met with skepticism. Things have come a long way.

Sep 29, 2021 ยท 11:25 AM UTC

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Banking on Beijing: Our forthcoming @CambridgeUP book introduces and uses the dataset to document China's evolution from a donor to a development banker, and what this means for developing countries. Stay tuned early next year: cambridge.org/us/academic/suโ€ฆ
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Latest version of the dataset available here: aiddata.org/data/aiddatas-glโ€ฆ
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