Demonstrates pollution reduction in Zambian industries through green technologies, suggesting a path for sustainable development.
Zambia's industrial sector is a significant contributor to environmental pollution, necessitating effective pollution control solutions that balance economic growth with sustainable development. The study employs a mixed-method approach, integrating quantitative data analysis through regression models to assess the effectiveness of implemented technologies, alongside qualitative case studies to understand industry-specific challenges and solutions. Regression analysis revealed that the adoption rate of green technologies is positively correlated with reductions in particulate matter emissions by approximately 15% (95% CI: 7-23%) across selected industries. The methodological framework demonstrates significant potential for enhancing pollution control practices in Zambian industries, offering a structured pathway to sustainable industrial development. Industry stakeholders are encouraged to adopt and invest in green technologies as part of their environmental management strategies. The maintenance outcome was modelled as Yᵢₜ=β₀+β₁Xᵢₜ+uᵢ+εᵢₜ, with robustness checked using heteroskedasticity-consistent errors.
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Mwale et al. (2006) studied this question.
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