Abstract
Mining exploitation and its impact on global warming have become significant problems. The main objective of this study is to investigate the impact of mining industry equipment and natural resource demand on global warming in Congo. A cross-sectional survey was conducted from October 2021 to July 2022, using a self-administered questionnaire. The survey was carried out with 1360 respondents from Congo who worked in the mining sector for 18 years and above. For our research, we used the Partial least squares structural equation modeling approach (PLS-SEM) with SmartPLS software to analyze data. The results show that technological trends are the strongest predictor of global warming in Congo. Equipment was also the most significant predictor of climate change in Congo. Faced with this danger, we are sounding the alarm and asking for urgent intervention from the government. Moreover, all the scientific evidence on this subject is now irrefutable. Even if the climate of Congo may prove less worrying for the moment, the probability that it survives seems very low. However, the Congolese government must take immediate possible precautions to prevent Congo from finding itself in the same challenge currently faced by developed countries.
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