Dataset List


Data Details

Dataset of International Fossil Energy and Renewable Energy Trade Dependence Network (2011-2020)

JIANG Xinjie1HE Ze2CHONG Zhaohui*1
1 School of Business,Shantou University,Shantou 515063,China2 Energy Research Institute,Chinese Academy of Macroeconomics Research,Beijing 100038,China


Published:May 2023

Visitors:2112       Data Files Downloaded:45      
Data Downloaded:5.71 MB      Citations:

Key Words:

International energy trade,trade dependence,network matrix


The Dataset of International Fossil Energy and Renewable Energy Trade Dependence Network (2011-2020) was developed based on the statistical data of bilateral fossil energy and renewable energy trade between countries and regions in the world published by the United Nations Trade Database. The value of trade dependence between bilateral trading countries was calculated using proportion of imports and exports in bilateral trade and Herfindahl Hissman Index (HHI). The dataset includes the following data of international fossil energy and renewable energy from 2011 to 2020: (1) description of export volume; (2) adjacency matrix; (3) assortativity; (4) mean value of trade dependence. The dataset is archived in. xlsx format, and consists of 2 files with data size of 159 KB (compressed into 129 KB). The analysis paper based on the dataset was published in Geographical Research, Vol. 41, No. 12, 2022.

Foundation Item:

National Social Science Fund of China (19ZDA055); Guangdong Province of China (2020GXJK213); Ministry of Education of China (20YJC790189); China's Central Scientific Institutions (S2207-2); National Natural Science Foundation of China (42201196)

Data Citation:

JIANG Xinjie, HE Ze, CHONG Zhaohui*. Dataset of International Fossil Energy and Renewable Energy Trade Dependence Network (2011-2020)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2023.


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     [4] Chong, Z. H., Jiang, X. J., He Z. Research on the network dependence characteristics and substitution in international trade: Fossil energy and renewable energy [J]. Geographical Research, 2022, 41(12): 3214-3228. DOI: 10.11821/dlyj020220398.
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     [8] Zhang, H. W., Wang, Y., Yang, C., et al. The impact of country risk on energy trade patterns based on complex network and panel regression analyses [J]. Energy, 2021, 222: 119979. DOI: 10.1016/
     [9] Zhou, B., Lu, X., Holme, P. Universal evolution patterns of degree assortativity in social networks [J]. Social Networks, 2020, 63: 47-55. DOI: 10.1016/j.socnet.2020.04.004.

Data Product:

ID Data Name Data Size Operation
1 DependenceNetwork_F&R_2011-2020.rar 129.94KB