The GDP per capita growth resilience dataset for countries along the Belt and Road is a comprehensive reflection of the level of GDP per capita growth resilience of each country. The GDP per capita growth resilience dataset was prepared with reference to the World Bank's statistical database, using year-on-year data on GDP per capita (constant 2010 US dollars) for countries along the Belt and Road from 2000 to 2019, and based on sensitivity and adaptability analysis, taking into account the year-on-year changes of each indicator. Through a comprehensive diagnostic, a product on GDP per capita growth resilience was prepared. "The GDP per capita growth resilience dataset for countries along the Belt and Road is an important reference for analysing and comparing the current GDP per capita growth resilience of each country.

File naming and required software

File naming: The GDP per capita growth resilience dataset is stored as an ARCGIS vector data shape file with the compressed name "gdp_per_capita.zip".
How to read the data: The data is uncompressed into ARCGIS vector data shape file format, please use ARCGIS software to open it, the value corresponding to the GDPPER field in the data attribute table is the GDP per capita growth resilience of the country.

Data Citations Data citation guideline What's data citation?

Cite as:

Xu, X. (2022). GDP per capita growth resilience dataset for countries along the "Belt and Road" (2000-2019). A Big Earth Data Platform for Three Poles, DOI: 10.11888/HumanNat.tpdc.272272. CSTR: 18406.11.HumanNat.tpdc.272272. (Download the reference： RIS | Bibtex )

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Support Program

Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)