推进物质流和社会经济代谢研究,助力实现联合国可持续发展目标

Promoting Material Flow and Socioeconomic Metabolism Analysis for Achieving UN 2030 Sustainable Development Goals

        刘刚(丹麦南丹麦大学 工学院生命周期工程研究中心 欧登塞 5230)
        曹植(丹麦南丹麦大学 工学院生命周期工程研究中心 欧登塞 5230)
        王鹤鸣(东北大学 国家环境保护生态工业重点实验室 沈阳 110819)
        刘立涛(中国科学院地理科学与资源研究所 北京 100101)
        陈伍(丹麦南丹麦大学 工学院生命周期工程研究中心 欧登塞 5230)
        王键(东北大学 国家环境保护生态工业重点实验室 沈阳 110819)

         物质流;社会经济代谢;资源效率;在用存量;可持续发展

        material flow analysis;socio-economic metabolism;resource efficiency;in-use stock;sustainable development goals (SDGs)

        实现联合国可持续发展目标的进度评估和路径选择，依赖于相关指标的定量评价及对社会经济和自然环境系统耦合关系的刻画。物质流和社会经济代谢分析方法基于质量守恒和生命周期思想，可以深刻地描述物质存量动态变化及其与流量的关系，分析资源和产品贸易及其对区域物质循环的影响，理解不同资源在生产与消费过程中的耦合与冲突关系。社会经济系统中物质代谢的分析和调控，是实现可持续发展的重要前提，也有助于绿色经济、循环经济、低碳经济等可持续发展战略的顺利实施。文章介绍了物质流和社会经济代谢分析方法的基本框架，并通过具体案例展示其如何用于分析全球、国家和产业可持续发展中的中长期资源、能源和气候挑战及相应的对策，从而助力实现联合国2030年可持续发展目标。在此基础上，提出了推进中国物质流和社会经济代谢研究的若干建议。

        A systematic understanding of the interactions between the socio-economic and natural environment systems could provide a dashboard of quantitative system indicators for monitoring the socio-metabolic transition towards Sustainable Development Goals (SDGs). Based on the mass balance principle and life cycle thinking, material flow analysis and socioeconomic metabolism (SEM) analysis serves as a paradigm for studying the biophysical basis of human societies, including particularly (i) relationship between material stocks and flows, (ii) trade flows of resources, products, and embodied environmental impacts, and (iii) linkages between multiple material cycles. The SEM results could help inform sustainable development strategies and smooth the implementation of green economy, circular economy, and low-carbon economy policies. Here, we laid out a generic framework for the SEM analysis and put SEM into context by exemplifying SEM applications in different regions, sectors, and resources and illustrating how the SEM analysis could inform policy makers in tackling resource, energy, and climate challenges in the long-term socio-metabolic transition. In the end, we proposed a few concrete suggestions for promoting SEM analysis regarding both methodology development and practical applications in China.