Klemun Magdalena M, Ojanperä Sanna, Schweikert Amy
Division of Public Policy and Energy Institute, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong.
Institute for Data, Systems and Society, Massachusetts Institute of Technology, Cambridge, MA, USA.
iScience. 2022 Dec 21;26(2):105727. doi: 10.1016/j.isci.2022.105727. eCollection 2023 Feb 17.
Linkages between the Sustainable Development Goals (SDGs) have sparked research interest because a better understanding of SDG co-benefits may enable faster progress on multiple sustainability fronts. However, SDG linkages are typically analyzed without considering the technologies used to implement a primary SDG, which may have secondary effects on other SDGs. Here, we outline an approach to study this problem by connecting the industries and services required to produce a technology to the United Nations SDG indicator framework, using SDG7 and four energy technologies as an illustrative case. We find that all technologies in our set involve potential co-benefits with SDGs 1, 8-10, 12-13, and 17, and trade-offs with SDGs 6, 8-9, 11-12, and 14-15. Deployment services primarily induce co-benefits; manufacturing has mixed impacts. Our work sheds light on the technology characteristics (e.g., scale, high- or low-tech) that influence linkages while also pointing to SDG-relevant characteristics not captured by UN indicators.
可持续发展目标（SDGs）之间的联系引发了研究兴趣，因为更好地理解可持续发展目标的协同效益可能会在多个可持续发展领域取得更快进展。然而，在分析可持续发展目标的联系时，通常没有考虑用于实现主要可持续发展目标的技术，而这些技术可能会对其他可持续发展目标产生次要影响。在此，我们概述了一种通过将生产某种技术所需的行业和服务与联合国可持续发展目标指标框架相联系来研究这一问题的方法，并以可持续发展目标7和四种能源技术作为示例。我们发现，我们所研究的所有技术都涉及与可持续发展目标1、8 - 10、12 - 13以及17的潜在协同效益，以及与可持续发展目标6、8 - 9、11 - 12以及14 - 15的权衡取舍。部署服务主要产生协同效益；制造业的影响则好坏参半。我们的工作揭示了影响联系的技术特征（例如规模、高科技或低科技），同时也指出了联合国指标未涵盖的与可持续发展目标相关的特征。
