Resilience dataset for industrial and service development in countries along the Belt and Road (2000-2019)

Resilience dataset for industrial and service development in countries along the Belt and Road (2000-2019)


"The resilience dataset reflects the level of resilience of industrial and service development in the countries along the Belt and Road, and the higher the value, the stronger the resilience of industrial and service development in the countries along the Belt and Road. The resilience of industrial and service sector development data products are prepared with reference to the World Bank's statistical database, using the year-on-year changes of two indicators, namely the value added of industry as a percentage of GDP and the value added of service sector as a percentage of GDP, for countries along the Belt and Road from 2000 to 2019, and on the basis of considering the year-on-year changes of each indicator. Based on the sensitivity and adaptability analysis, a comprehensive diagnostic was prepared to generate products on the resilience of industrial and service sector development. "The resilience dataset of industrial and service sector development in countries along the Belt and Road is an important reference for analysing and comparing the current resilience of industrial and service sector development in each country.


File naming and required software

File naming: The industry and services development resilience dataset is stored in ARCGIS vector data shape files, which are compressed and named "industry_services.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 InSe field in the data attribute table is the industry and services development resilience of the country.


Data Citations Data citation guideline What's data citation?
Cite as:

Xu, X. (2022). Resilience dataset for industrial and service development in countries along the Belt and Road (2000-2019). A Big Earth Data Platform for Three Poles, DOI: 10.11888/HumanNat.tpdc.272269. CSTR: 18406.11.HumanNat.tpdc.272269. (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)


Related Resources
Comments

Current page automatically show English comments Show comments in all languages

Download Follow
Keywords
Geographic coverage
East: 180.00 West: 12.09
South: -10.99 North: 81.87
Details
  • Temporal resolution: Yearly
  • Spatial resolution: --
  • File size: 17 MB
  • Views: 700
  • Downloads: 195
  • Access: Open Access
  • Temporal coverage: For the past 20 years
  • Updated time: 2022-04-29
Contacts
: XU Xinliang  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

Attachments
Export metadata