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A new strategy model for reducing industrial pollutants using structural equation modeling (SEM): a case study.
Pegah Faghani Kondori1, Ali Mostafaeipour2,3, Ttu Le4,5
1Industrial Engineering Department, Yazd University, Yazd, Iran.
Green industry practices are key to reducing industrial pollution, followed by government incentives and management commitment. Other strategies like green marketing and political issues also contribute to environmental protection efforts.
Area of Science:
- Environmental Science
- Industrial Ecology
- Environmental Management
Background:
- Economic development has historically led to increased industrial pollution.
- Industries are recognized as significant contributors to environmental degradation.
- Mitigating industrial pollutants is crucial for sustainable development.
Purpose of the Study:
- To identify effective strategies for reducing industrial pollutants.
- To analyze the impact of various factors on pollutant mitigation.
- To develop and test a model for industrial pollutant reduction in Mashhad Industrial Zone, Iran.
Main Methods:
- Development of an initial model based on identified factors.
- Data collection via questionnaires in Mashhad Industrial Zone.
- Structural Equation Modeling (SEM) using SmartPLS to assess model fit and hypotheses due to non-normal data.
Main Results:
- Seven components were identified as significant in preventing industrial pollutants.
- Green industry status quo showed the largest effect size (0.3) in diminishing pollutants.
- Other impactful strategies include government incentives (0.21), management commitment (0.20), green product marketing (0.19), competitive strategies (0.15), government oversight (0.12), and political issues (0.09).
Conclusions:
- Green industry practices are the most effective strategy for reducing industrial pollutants.
- Government incentives, management commitment, and green marketing are also vital.
- Financial issues and government regulations did not show a direct link to pollutant reduction in this study.
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