Juan Antonio Duro, Alejandro Perez-Laborda, Markus Löw, Sarah Matej, Barbara Plank, Fridolin Krausmann, Dominik Wiedenhofer, Helmut Haberl
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引用次数: 0
摘要
人们日益认识到,社会对物质资源的使用是造成可持续发展问题的一个关键因素。各国的人均和年材料使用量差别很大。然而,对有限范围的变量(主要是人均国内生产总值 [GDP])进行分析,以解释这种差异。城市的空间模式会影响其资源使用,但居住区和基础设施模式作为国家级材料使用的共同决定因素,其作用尚不清楚,这主要是由于缺乏数据来调查它们在这一范围内的影响。在此,我们通过系统分析包括建筑结构在内的一系列国家人均材料需求的潜在决定因素,开始填补这一空白。材料需求既有生产指标,也有消费指标。在其潜在决定因素中,我们分析了代表各国居住区和交通基础设施的范围和空间模式的八个新指标,以及迄今为止考虑过的国内生产总值和其他指标。通过对居住着世界 91% 人口、占世界 92% GDP 的 123 个国家进行分析,我们发现建筑结构在很大程度上共同决定着资源的使用。对于以生产和消费为基础的物质流指标而言,建筑结构的范围和空间模式指标比 GDP 和其他传统指标具有更强的解释力。人均建筑用地面积是最强的预测指标,但代表建筑结构的其他几个指标也非常重要。因此,在试图减少社会的资源吞吐量时,限制建筑用地和设计建筑结构的空间模式值得关注。
Spatial patterns of built structures co-determine nations’ level of resource demand
Societies’ use of material resources is increasingly recognized as a key factor behind sustainability problems. The mass of materials used per capita and year differs substantially between countries. However, a limited range of variables (mostly per-capita gross domestic product [GDP]) were analyzed to explain this variation. Spatial patterns of cities influence their resource use, but the role of patterns of settlements and infrastructures as co-determinants of national-level material use is unknown, mainly due to lacking data to investigate their effects at that scale. Here we start closing this gap by systematically analyzing a broad set of potential determinants of national per-capita material demand, including built structures. Material demand is represented by both production- and consumption-based indicators. Among its potential determinants, we analyze eight novel indicators representing extent and spatial patterns of settlements and transport infrastructures in each country, along with GDP and other indicators considered so far. Analyzing 123 countries inhabited by 91% of the world population and accounting for 92% of world GDP, we show that built structures strongly co-determine resource use. Indicators of extent and spatial patterns of built structures have substantial additional explanatory power beyond GDP and other conventional indicators for both production- and consumption-based material flow indicators. The area of built-up land per capita emerges as the strongest predictor, but several other indicators representing built structures are also highly relevant. Limiting built-up land and designing spatial patterns of built structures hence deserve attention in attempts to reduce societies’ resource throughput.
期刊介绍:
The Journal of Industrial Ecology addresses a series of related topics:
material and energy flows studies (''industrial metabolism'')
technological change
dematerialization and decarbonization
life cycle planning, design and assessment
design for the environment
extended producer responsibility (''product stewardship'')
eco-industrial parks (''industrial symbiosis'')
product-oriented environmental policy
eco-efficiency
Journal of Industrial Ecology is open to and encourages submissions that are interdisciplinary in approach. In addition to more formal academic papers, the journal seeks to provide a forum for continuing exchange of information and opinions through contributions from scholars, environmental managers, policymakers, advocates and others involved in environmental science, management and policy.