Integrating Material Stock Dynamics Into Economy-Wide Material Flow Accounting: Concepts, Modelling, and Global Application for 1900-2050

被引:136
作者
Wiedenhofer, Dominik [1 ]
Fishman, Tomer [2 ]
Lauk, Christian [1 ]
Haas, Willi [1 ]
Krausmann, Fridolin [1 ]
机构
[1] Univ Nat Resources & Life Sci, Inst Social Ecol, Dept Econ & Social Sci, Schottenfeldgasse 29, A-1090 Vienna, Austria
[2] Yale Univ, Ctr Ind Ecol, Sch Forestry & Environm Studies, 195 Prospect St, New Haven, CT 06511 USA
基金
奥地利科学基金会;
关键词
Dynamic material flow analysis; Economy-wide material flow accounting; Uncertainty; Circular economy; Monte-Carlo simulations; Socio-economic metabolism; IN-USE STOCKS; CIRCULAR ECONOMY; SOCIOECONOMIC METABOLISM; SENSITIVITY-ANALYSIS; INDUSTRIAL ECOLOGY; INDICATORS; PATTERNS; ALUMINUM; LIFE; SUSTAINABILITY;
D O I
10.1016/j.ecolecon.2018.09.010
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Assessing progress towards environmental sustainability requires a robust and systematic knowledge base. Economy-wide material flow accounting (ew-MFA) is an established method to monitor resource use across scales and its headline indicators are widely used in policy. However, ew-MFA is currently limited by its empirical focus on annual flows of material and energy, because it neglects the pivotal role of in-use material stocks of manufactured capital. Explicitly integrating in-use stocks enables new insights into a range of Ecological Economics' topics, such as the biophysical assessment of socio-economic systems, the circular economy and stock-flow consistent scenarios. Herein, we conceptually and practically expand the ew-MFA framework towards jointly addressing material flows, in-use stocks of manufactured capital and waste, using a fully consistent dynamic model of Material Inputs, Stocks and Outputs (MISO-model). We review the stock modelling literature, propose a novel distinction of stock-driven versus inflow-driven approaches and situate the MISO-model as the latter. We then investigate the global dynamics of socio-metabolic flows and in-use stocks from 1900 to 2014, explore model sensitivities and quantify and attribute uncertainty. Two exemplary scenarios are presented. Through these innovations for ew-MFA, we enable a dynamic and comprehensive assessment of resource use, stocks and all wastes in the socioeconomic metabolism.
引用
收藏
页码:121 / 133
页数:13
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