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 $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.