The energy supply resilience of the countries along the “Belt and Road” reflects the energy supply resilience level of the countries along the route. The higher the data value, the stronger the energy supply resilience of the countries along the route. The preparation of energy supply resilience data products refers to the energy statistics of various countries of the International Energy Agency, and uses the annual data of coal, oil and natural gas supply in the countries along the “Belt and Road” from 2000 to 2019. Through comprehensive diagnostics, resilience and adaptability analysis, the preparation generates energy supply resilience products. The data set of energy supply resilience of countries along the “Belt and Road” is of great reference significance for analyzing and comparing the current state of energy supply resilience of countries.

File naming and required software

File naming: The energy supply resilience dataset is stored as an ArcGIS vector data shapefile, and the compressed file name is "energy.zip".
Data reading method: After the data is decompressed, it is in the ArcGIS vector data shape file format. Please use the ArcGIS software to open it. The value corresponding to the ENERHY field in the data attribute table is the energy supply resilience of the country.

Data Citations Data citation guideline What's data citation?

Cite as:

Xu, X. (2022). A dataset of energy supply resilience of countries along the “Belt and Road” (2000-2019). A Big Earth Data Platform for Three Poles, DOI: 10.11888/HumanNat.tpdc.272279. CSTR: 18406.11.HumanNat.tpdc.272279. (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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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)