2006
DOI: 10.1016/j.ecolecon.2005.08.016
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The physical economy of the European Union: Cross-country comparison and determinants of material consumption

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Cited by 247 publications
(139 citation statements)
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“…Auf Grundlage einschlägiger Theorieansätze und Datenverfügbarkeit wurden zunächst 68 Variablen als mögliche Antriebskräfte identifiziert (Canas 2003;Malenbaum 1978;Weisz et al 2006 …”
Section: Antriebskräfte Der Ressourcenproduktivitätunclassified
“…Auf Grundlage einschlägiger Theorieansätze und Datenverfügbarkeit wurden zunächst 68 Variablen als mögliche Antriebskräfte identifiziert (Canas 2003;Malenbaum 1978;Weisz et al 2006 …”
Section: Antriebskräfte Der Ressourcenproduktivitätunclassified
“…The DMC indicator provides a measure of the net use of material within a country in a given year. It can additionally serve as an indicator of domestic waste potential [26]: All material used eventually turns into waste, almost immediately in the case of through-flow materials such as agricultural biomass or fossil fuels or with a considerable time lag in the case of materials integrated into stocks or durable consumer products. In its specific allocation of material flows to countries, the DMC indicator implicitly assigns responsibility: Countries are responsible for the material use occurring on their territory but they are neither responsible for the impacts their exported products may have elsewhere nor for the impact associated with the production of goods they import.…”
Section: How the Use Of A Methods Entails Ex Ante Assumptions About Rementioning
confidence: 99%
“…Bringezu et al ( 2003Bringezu et al ( , 2004 and Weisz et al ( 2006 ) have compared the results of NMAs for a number of countries and found (among many other features) that the domestic material input per capita had not been decoupled on an absolute basis from gross domestic product per capita. At present, there exist NMAs for almost all countries of the world, documenting annual material extraction and use as well as trade for the past several decades (Schaffartzik et al 2014 ).…”
Section: Socioeconomic Metabolismmentioning
confidence: 99%