Chinese mining sector investment and energy independence in Africa: A panel data analysis of 20 Countries from 2013 to 2022

International Journal of Research in Business and Social Science (2147-4478), Год журнала: 2025, Номер 14(2), С. 217 - 232

Опубликована: Март 7, 2025

The study explores relationships between renewable energy variables across African nations, focusing on South Africa (RSA) and the Democratic Republic of Congo (DRC) using panel data from 2013 to 2022. Key include Chinese mining sector FDI (in USD), capacity MW), technological advancements, policy frameworks, natural resource management, adoption, risk perception. Employing descriptive analysis, Pearson correlation, linear regression, reveals notable findings. Descriptive statistics highlight significant diversity in capacity, support, levels countries, reflecting varying development stages investment climates. DRC exhibits slower growth compared Africa. Correlation analysis indicates that strongly correlates with favorable while high-risk perceptions discourage development. Regression results identify advancements as most predictor sustainable growth, emphasizing its critical role attracting investment. Although frameworks perception show potential, further exploration larger datasets is required uncover their moderating or indirect effects. underscores interdependence development, flows, capacity. It calls nations prioritize foster partnerships firms for technology transfer, implement robust frameworks. Policymakers should focus political stability, economic reforms, tax incentives, streamlined approvals, co-financing mechanisms, addressing structural challenges effectively attract drive growth.

Язык: Английский

Economic determinants and forecasting of electricity demand in Cameroon: A policy-driven approach using multilinear regression

Energy 360., Год журнала: 2024, Номер unknown, С. 100013 - 100013

Опубликована: Дек. 1, 2024

Язык: Английский