A new strategy model for reducing industrial pollutants using structural equation modeling (SEM): a case study

被引：1

作者：

Faghani Kondori, Pegah ^{[1
]}

Mostafaeipour, Ali ^{[2
,3
]}

Le, Ttu ^{[2
,3
]}

Javanpour, Saba ^{[1
]}

机构：

[1] Industrial Engineering Department, Yazd University, Yazd

[2] Institute of Research and Development, Duy Tan University, Da Nang

[3] Technology, Duy Tan University, Da Nang

来源：

Environmental Science and Pollution Research | 2024年 / 31卷 / 39期

关键词：

Environment; Green industry; Industrial pollutants; Model fit; Structural equation modeling (SEM);

D O I：

10.1007/s11356-024-34610-1

中图分类号：

学科分类号：

摘要：

Economic developments over recent decades have led to environmental issues. Industries have been introduced among the main causes of environmental degradation. From this perspective, this research work identifies strategies for reducing industrial pollutants. In the first part, the factors concerned and their impacts on mitigating industrial pollutants are identified. Then, the initial model is developed. The case examined here is Mashhad Industrial Zone, Mashhad, Iran, wherein the questionnaire was distributed. Given the non-normal data in this study, the initial model fit is further measured by structural equation modeling (SEM), using SmartPLS. Upon the model fit confirmation, the research hypotheses, i.e., the factors affecting the reduction of industrial pollutants, are assessed. The results indicated that, among the variables examined, seven components can significantly prevent industrial pollutants. In view of this, green industry status quo with the effect size of 0.3 has the greatest possible impact on diminishing industrial pollutants. The next uppermost strategies for this purpose are government incentives, management commitment, green product marketing, competitive strategies, government oversight, and political issues, with the effect size values of 0.21, 0.20, 0.19, 0.15, 0.12, and 0.09, respectively. Financial issues and government regulations are not directly linked with lowering pollutants emanating from industries. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

引用

页码：52212 / 52232

页数：20

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