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Mixed-methods research shows promising technologies for pollution control in Zambia, suggesting local solutions are vital.
Industrial pollution in Zambia is a significant environmental challenge, necessitating innovative solutions to mitigate its adverse impacts on both human health and ecosystems. The research employs a mixed-methods approach combining qualitative interviews with quantitative data analysis. A Delphi study was conducted to gather expert opinions on preferred technological solutions. Statistical models were used to analyse pollution levels and effectiveness of proposed technologies, incorporating robust standard errors for uncertainty quantification. Expert consensus indicated that the most promising technological innovations involve advanced filtration systems (direction: 60%) and integrated waste management strategies (proportion: 55%). The methodological framework highlights the importance of local expertise in technology selection, emphasising the role of adaptive learning and iterative improvement in pollution control efforts. Policy-makers should prioritise funding for research into locally applicable technologies, fostering public-private partnerships to accelerate implementation of recommended solutions. Industrial Pollution Control, Technological Innovations, Environmental Engineering, Zambia The maintenance outcome was modelled as Yᵢₜ=β₀+β₁Xᵢₜ+uᵢ+εᵢₜ, with robustness checked using heteroskedasticity-consistent errors.
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Mulenga et al. (2001) studied this question.
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