Assessing the eco-efficiency of complex forestry enterprises using LCA/time-series DEA methodology
Assessing the eco-efficiency of complex forestry enterprises using LCA/time-series DEA methodology
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DOI：
10.1016/j.ecolind.2022.109166
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发表时间：
2022-09
影响因子：
6.9
通讯作者：
Xuyao Zhang;Dayu Xu
中科院分区：
文献类型：
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作者：
Xuyao Zhang;Dayu Xu
在碳中和、碳达峰战略下，复合型林业企业具有引领当前产业升级的潜力。本文旨在通过案例研究，探讨影响复合型林业企业生态效率的投入和产出。提出了一种基于生命周期评价（LCA）和时间序列数据包络分析（DEA）的混合集成方法来评价案例企业的生态效率。结果表明，从关键投入产出要素的平均强度来看，高效年的环境影响是低效年的45.25%，而在纤维消耗和能源消耗方面，这一比例分别为65.53%和77.66%。研究结果为复合型林业企业在改善环境影响、充分发挥林业产业链资源优势等方面提高生态效率提供了指导。我们的研究结果也有助于现有的文献提供了一个系统的研究的基础上，企业的时间序列数据集。
Complex forestry enterprises have the potential to lead the current industrial upgrade under the strategy of carbon neutrality and carbon peaking. This paper aims to investigate the inputs and outputs influencing the eco-efficiency of complex forestry enterprises through a case study. A hybrid ensemble approach of life cycle assessment (LCA) and time-series data envelopment analysis (time-series DEA) was proposed to evaluate the case enterprise's eco-efficiency. It is found that, from the perspective of the average intensity of key input and output factors, environmental impact in efficient years is 45.25% of that in inefficient ones, and when it comes to the fiber consumption and the energy consumption, this percentage turns into 65.53% and 77.66%. With the findings, we provide guidelines for complex forestry enterprises to enhance the eco-efficiency in improving environmental impact and in giving full play to the advantages of forestry industrial chain resources. Our findings also contribute to the existent literature by providing a systematic study based on a corporate time-series dataset.