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The data presented in this study is derived from a synthesis of datasets from prominent institutions such as the Organization for Economic Cooperation and Development (OECD), the World Bank, and the Centre d’Etudes Prospectives et d’Informations Internationales (CEPII). Access to the data is open to all individuals for verification and scrutiny. Additionally, the researchers provided references to the Stata commands utilized during the course of their research analysis.

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data were collected from secondary databases maintained by the Organization for Economic Cooperation and Development(OECD), the World Bank(WB), and the Centre d’Etudes Prospectives et d’Informations Internationales (CEPII) from 2010 to 2021.Firstly, recent trends such as the increasing demand for minerals by China and Africa's trade and diplomatic disputes with other nations were taken into account. Secondly, China's expanding green energy economic policy was considered. Thirdly, attention was given to the recently revived African economy, corruption in the mineral resources sector, and weak governance . This study aimed to sample thirteen African nations using two distinct methods. Firstly, the top twenty mineral-producing African nations, chosen based on recent and comprehensive data on mineral resources potential, were specifically selected due to their consistent export of mineral resources to China. Secondly, among the twenty mineral-producer countries, thirteen African countries were randomly chosen based on data availability and accessibility, resulting in a total of 156 observations. The study employed the "gravity model" of bilateral trade. Various models are are used including OLS, FGLS, FE,RE, ET Tobit, EK Tobit, PPLM and MPML . The study used on STATA 17 software for data analysis

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