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<p>Motivated by the increase in China’s low-carbon technology product exports to Africa and the ongoing challenges of energy poverty (EP) in African countries (ACs), this paper investigates the effects of China’s low-carbon technology trade (CLTT) on access to modern energy (AE) using China’s low-carbon technology product imports of 42 ACs for the period of 2005–2021. We employ the instrumental variable-generalized methods of moments and Lewbel’s instrumental variable-two-stage least squares methods to control for endogeneity concerns. Additionally, a panel threshold regression model is employed to examine the threshold effect of domestic absorptive capacity, controlling for variation in the size of economic development (ED), control of corruption (CC), and financial development (FD) in ACs. Our results indicate that CLTT significantly improves AE in Africa, implying that harnessing low-carbon technology product trade contributes to improving AE and mitigating EP in Africa. Moreover, ED, CC, and FD positively moderate the relationship between CLTT and AE. Besides, the panel threshold results imply that the promoting effect of CLTT on AE increases with the improvement of ED and the FD levels of ACs and optimization of governance quality. These results contribute to achieving SDG-7 and provide policymakers with valuable insights.</p>

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The impacts of China’s low-carbon technology trade on modern energy access in Africa: the role of domestic absorptive capacity

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  • 发表日期：

    2025年12月16日

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  • Dinkneh Gebre Borojo,
  • Miao Miao

摘要

Motivated by the increase in China’s low-carbon technology product exports to Africa and the ongoing challenges of energy poverty (EP) in African countries (ACs), this paper investigates the effects of China’s low-carbon technology trade (CLTT) on access to modern energy (AE) using China’s low-carbon technology product imports of 42 ACs for the period of 2005–2021. We employ the instrumental variable-generalized methods of moments and Lewbel’s instrumental variable-two-stage least squares methods to control for endogeneity concerns. Additionally, a panel threshold regression model is employed to examine the threshold effect of domestic absorptive capacity, controlling for variation in the size of economic development (ED), control of corruption (CC), and financial development (FD) in ACs. Our results indicate that CLTT significantly improves AE in Africa, implying that harnessing low-carbon technology product trade contributes to improving AE and mitigating EP in Africa. Moreover, ED, CC, and FD positively moderate the relationship between CLTT and AE. Besides, the panel threshold results imply that the promoting effect of CLTT on AE increases with the improvement of ED and the FD levels of ACs and optimization of governance quality. These results contribute to achieving SDG-7 and provide policymakers with valuable insights.