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Analyzing the green innovation practices based on sustainability performance indicators: a Chinese manufacturing industry case

机译:基于可持续发展绩效指标的绿色创新实践分析:中国制造业案例

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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.
机译:巴黎协定签署后,绿色创新实践的采用在全世界引起了广泛关注。消费者、制造商、政府和社区已经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,也是造成环境污染的原因之一,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至关重要。然而,从制造业可持续性绩效指标的角度识别、评估和评估绿色创新方面和子方面至关重要。本研究服务于这一目的,并提出了一种混合多准则决策(MCDM),将模糊层次分析法(FAHP)和模糊技术(FTOPSIS)结合起来,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)、二十四个次级方面(次级标准)和三个可持续性绩效指标(备选方案)。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,在中国服装制造业采用绿色创新实践时,环境绩效是最合适的可持续性绩效指标。本研究为管理者和决策者理解绿色创新实践促进制造业可持续发展提供了支持。

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