College of Economics and Management, |Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China.
School of Physical and Mathematic Sciences, Nanjing Tech University, Nanjing, Jiangsu, China.
Environ Sci Pollut Res Int. 2021 Jan;28(1):1181-1203. doi: 10.1007/s11356-020-10531-7. Epub 2020 Aug 24.
In the wake of the Paris agreement, the adoption of green innovation practices has received substantial attention throughout the world. The consumers, manufacturers, governments, and communities have started realizing the severity and intensity of environmental hazards and climate change. The manufacturing sector is one of the leading industrial waste producers and contributors to environmental pollution, posing a threat to environmental sustainability. The adoption of green innovation practices in the manufacturing sector is indispensable to ensure environmental sustainability. However, it is pivotal to identify, assess, and evaluate the green innovation aspects and sub-aspects with the perspective of sustainability performance indicators in the manufacturing industry. This study services this purpose and proposes a hybrid multi-criteria decision-making (MCDM) by combining the fuzzy analytical hierarchy process (FAHP) and fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS) to analyze the effects of green innovation aspects with sustainability performance of the manufacturing industry. The authors identify six green innovation aspects (criteria), twenty-four sub-aspects (sub-criteria), and three sustainability performance indicators (alternatives) for the manufacturing industry in China. The FAHP method indicates that green managerial innovation, green product innovation, and green technological innovation are the most influential aspects of implementing green innovation practices. Further, the FTOPSIS technique reveals that environmental performance is the most suitable sustainability performance indicator in adopting green innovation practices in the garment manufacturing industry of China. This research provides support to the managers and policymakers in understanding the green innovation practices in promoting sustainable development in the manufacturing industry.
在《巴黎协定》之后，绿色创新实践的采用在全球范围内受到了广泛关注。消费者、制造商、政府和社区开始意识到环境危害和气候变化的严重性和强度。制造业是主要的工业废物产生者之一，也是环境污染的主要贡献者，对环境可持续性构成威胁。制造业采用绿色创新实践对于确保环境可持续性是必不可少的。然而，至关重要的是要确定、评估和评估绿色创新方面及其可持续性绩效指标方面的子方面，以确保环境可持续性。本研究旨在满足这一目的，并提出了一种混合多准则决策 (MCDM) 方法，该方法结合模糊层次分析法 (FAHP) 和模糊逼近理想解排序法 (FTOPSIS) 来分析绿色创新方面对制造业可持续性绩效的影响。作者确定了中国制造业的六个绿色创新方面（标准）、二十四个子方面（子标准）和三个可持续性绩效指标（替代方案）。FAHP 方法表明，绿色管理创新、绿色产品创新和绿色技术创新是实施绿色创新实践最具影响力的方面。此外，FTOPSIS 技术表明，在采用中国服装制造业绿色创新实践时，环境绩效是最适合的可持续性绩效指标。这项研究为管理者和政策制定者提供了支持，帮助他们了解绿色创新实践在促进制造业可持续发展方面的作用。
