ESG视角下制造业企业绿色技术创新研究

Jinying Han, Rui Hu, Qiaoya Zhang, Hongru Zhang
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引用次数: 0

摘要

本研究从ESG(环境、社会、治理)视角对制造业企业绿色技术创新进行了研究。绿色技术创新是推动企业实现环境可持续发展的关键因素之一。基于前人的研究:第一,制造企业应进行环境影响评估和管理,评估产品生命周期对环境的影响,并采取措施减少负面影响。第二,可再生能源应用是绿色技术创新的重要方向,制造企业可以转向太阳能、风能等可再生能源,减少对传统能源的依赖。第三,循环经济和产品设计也是研究重点,通过产品设计减少资源使用和浪费,引入循环经济理念,促进材料和能源的循环利用。第四,供应链的可持续性也是绿色技术创新的一个关键领域,制造企业需要考虑合作伙伴选择、原材料采购和运输等方面,以确保供应链的可持续性和环保性。最后,数据驱动和智能制造可以通过应用数据分析和人工智能等技术优化生产流程,提高资源利用效率和能源消耗效率,减少碳排放和废物产生。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Green Technology Innovation in Manufacturing Firms from ESG Perspective
This study investigates the research of manufacturing enterprises in green technology innovation from the ESG (Environmental, Social, Governance) perspective. Green technology innovation is one of the key factors to promote enterprises to realize environmentally sustainable development. Based on previous research on: first, manufacturing companies should conduct environmental impact assessment and management to assess the environmental impact of product life cycle and take measures to reduce the negative impact. Second, renewable energy applications are an important direction for green technology innovation, and manufacturing companies can shift to renewable energy sources such as solar and wind to reduce their dependence on traditional energy sources. Third, circular economy and product design are also the focus of research, through product design to reduce resource use and waste, and introduce the concept of circular economy to promote the recycling of materials and energy. Fourth, supply chain sustainability is also a key area of green technology innovation, where manufacturing companies need to consider aspects such as partner selection, raw material sourcing and transportation to ensure a sustainable and environmentally friendly supply chain. Finally, data-driven and smart manufacturing can optimize the production process through the application of technologies such as data analytics and artificial intelligence to improve resource utilization efficiency and energy consumption efficiency, and reduce carbon emissions and waste generation.
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