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Green Innovation and Business Sustainability: New Evidence from Energy Intensive Industry in China

机译:绿色创新与企业可持续发展:中国能源密集型产业的新证据

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摘要

Chinese manufacturing has recently undertaken the responsibility of energy conservation and emission reduction to address climate change. This research analyzes green innovation on business sustainability in the energy-intensive industry in China from the manager perspective, researched data from 229 Chinese managers via structural equation modeling (SEM). The results demonstrated that green innovation had three dimensions: green product innovation, recycling, and green publicity. Business sustainability also had three dimensions: financial performance, environmental performance, and social performance. It also shows that green innovation had a significant effect on business sustainability in the energy-intensive industry. More specifically, we found that recycling has more impact on social performance when compared with green publicity. However, green publicity has a large effect on environmental performance; moreover, green product innovation has more impact on financial performance than green publicity. We also found that environmental performance has a positive effect on financial and social performance results. The alternative models were used to examine the second-order factors of green innovation and business sustainability to test the study’s robustness and supported our findings. Thus, this study contributes to the field by helping managers to make decisions when dealing with sustainable environmental management. It provides new empirical evidence to support the development of a low-carbon circular economy and realization of a carbon-neutral goal by 2060 in China.
机译:中国制造业最近承担了节能减排的责任,以解决气候变化。本研究分析了中国经理视角,通过结构方程模型(SEM)从229名中国管理人员研究数据,分析了中国能源密集型行业业务可持续发展的绿色创新。结果表明,绿色创新有三个维度:绿色产品创新,回收和绿色宣传。商业可持续性也有三个维度:财务表现,环境绩效和社会绩效。它还表明,绿色创新对能源密集型行业的业务可持续性产生了重大影响。更具体地说,我们发现与绿色宣传相比,回收对社会绩效的影响更多。然而,绿色宣传对环境绩效有很大影响;此外,绿色产品创新对金融业绩产生更多的影响而不是绿色宣传。我们还发现,环境绩效对金融和社会绩效结果产生了积极影响。替代模型用于检查绿色创新和业务可持续性的二阶因素,以测试研究的稳健性并支持我们的研究结果。因此,这项研究通过帮助管理者在处理可持续环境管理时做出决策,为该领域带来贡献。它提供了新的经验证据,支持在中国2060年实现低碳循环经济和实现碳中立的目标。

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