The contribution of manufacturing industries to the achievement of triple bottom line dimensions on sustainable development: An empirical analysis

In 2015, the United Nations introduced the sustainable development goals (SDGs) in partnership with civil society and firms, highlighting that leading firms possess the capabilities to innovate substantial solutions at scale to achieve global sustainability. Therefore, the objective of present study is to explore the sustainable development in the context of the Indian manufacturing industry and examine the effect of triple bottom line, i.e. economic, social, and environmental dimensions on the sustainable development. Based on the literature review and expert’s opinions, hypotheses related to sustainable development and triple bottom line dimensions were developed. A survey instrument was prepared and sent to the 500 Indian manufacturing industries. Out of these 384 responses were found suitable for the study with a 76.8% response rate. All the necessary statistical analysis was carried out to ensure the reliability and validity of the questionnaire. Analysis of Moment Structure Path Modeling technique-Structural Eq. Modeling has been used for testing the research hypothesis. Further, the measurement model had shown sufficient data fit for the modeling. The results of study indicate that all significance values were found to be less than 0.05. Therefore, the null hypothesis is rejected, implying that the effectiveness of triple bottom line dimensions positively influences sustainable development. The findings of the study may be useful for academicians and managers in managing the sustainable manufacturing industry in an effective manner.

2015年，联合国联合民间社会与各类企业推出了可持续发展目标（Sustainable Development Goals, SDGs），强调头部企业具备大规模创新切实可行解决方案的能力，以推动全球可持续发展。基于此，本研究旨在探讨印度制造业语境下的可持续发展问题，并检验三重底线（triple bottom line）——即经济、社会与环境维度——对可持续发展的影响。基于文献综述与专家意见，本研究构建了围绕可持续发展与三重底线维度的研究假设。研究团队编制了调研问卷，向500家印度制造企业发放，最终回收有效问卷384份，有效回收率为76.8%。本研究开展了所有必要的统计分析，以确保问卷的信度与效度。采用协方差结构路径建模（Analysis of Moment Structure Path Modeling）-结构方程模型（Structural Eq. Modeling）技术对研究假设进行检验。进一步分析显示，测量模型具备良好的数据拟合度。研究结果表明，所有显著性值均小于0.05，因此拒绝原假设，意味着三重底线维度对可持续发展具有显著正向影响。本研究的发现可为学术界与管理者有效管理可持续制造业提供实践参考。