Han Siqi, Li Chunding, Li Mengyu, Lenzen Manfred, Chen Xiuzhi, Zhang Yuqian, Li Mo, Yin Tuo, Li Yingjie, Li Juan, Liu Jianguo, Li Yunkai
State Key Laboratory of Efficient Utilization of Agricultural Water Resources, Beijing, China.
College of Water Resources and Civil Engineering, China Agricultural University, Beijing, China.
Nat Commun. 2024 Sep 28;15(1):8424. doi: 10.1038/s41467-024-52854-w.
Human economic activities drive the production and consumption of goods and services, contribute to the achievement of the United Nations Sustainable Development Goals (SDGs). However, the extent of economic growth's influence on the SDGs remains unclear. To fill this knowledge gap, here, we quantified the environmental effects of economic activities and explored correlations between environmental effect and achieving SDGs. We developed six Environmental Footprint Indices, with a higher score indicating better efficiency or lower burden. Here we show that the various Environmental Footprint Indices had synergistic and trade-off effects on most SDG targets indices, but the synergistic effects prevailed. As income increased, the correlation between Environmental Footprint Indices and SDG target indices gradually strengthened. improved production efficiency and consumption changes notably advance SDGs, especially in low-income group countries. Our work provides scientific insights into the impact and prospects of environmental regulation required for achieving the SDGs by 2030.
人类经济活动推动商品和服务的生产与消费,有助于实现联合国可持续发展目标(SDGs)。然而,经济增长对可持续发展目标的影响程度仍不明确。为填补这一知识空白,在此我们量化了经济活动的环境影响,并探讨了环境影响与实现可持续发展目标之间的相关性。我们制定了六个环境足迹指数,得分越高表明效率越高或负担越低。我们在此表明,各种环境足迹指数对大多数可持续发展目标指标指数具有协同和权衡效应,但协同效应占主导。随着收入增加,环境足迹指数与可持续发展目标指标指数之间的相关性逐渐增强。提高生产效率和消费变化显著推动可持续发展目标的实现,尤其是在低收入国家。我们的工作为到2030年实现可持续发展目标所需的环境监管的影响和前景提供了科学见解。