In China, coal is not only the main fuel but also the majority substance causing pollution. For the purpose of monitoring and scenario analysis, this paper presents a coal physical input-output table (CPIOT) that show...
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In China, coal is not only the main fuel but also the majority substance causing pollution. For the purpose of monitoring and scenario analysis, this paper presents a coal physical input-output table (CPIOT) that shows the complete coal flow in the production system based on clean coal concept. We first depict the material flow of coal in China and construct a theoretical table of CPIOT to describe coal mining, consumption, emission, reuse and recycle, and then, four kinds of coal classification and sixteen sectors are declared for empirical analysis. By data collection, processing and calibration, this paper finally builds a CPIOT in 2012 which can observe the coal industry in detail. Furthermore, we apply it to assess circuits, material recycling and coal reduction effect and find a lot of interesting results, which proves the wide application and huge values of CPIOT in the analysis of China's coal industry. (C) 2016 Elsevier B.V. All rights reserved.
This paper presents a physical input-output table (PIOT) that shows the complete wood and paper flow through the economic system of Germany. The PIOT illustrates the wood and paper flow between different sectors and t...
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This paper presents a physical input-output table (PIOT) that shows the complete wood and paper flow through the economic system of Germany. The PIOT illustrates the wood and paper flow between different sectors and to different types of final use. It can be used both as a monitoring instrument and for scenario analysis. The hypothetical extraction method is applied in order to assess inter-industry linkages and single out key industries. Despite the wide variety of wood-based products and the versatile use of wood, it turns out that there is a surprisingly linear organization of the production system when it comes to the flow of wood and paper through Germany ("throughput economy"). (C) 2014 Elsevier B.V. All rights reserved.
Analyses using physical input-output tables (PIOTs) are key to understanding the physical metabolism of economies, since they relate production to the generation of emissions and use of resources. Two methods have bee...
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Analyses using physical input-output tables (PIOTs) are key to understanding the physical metabolism of economies, since they relate production to the generation of emissions and use of resources. Two methods have been developed to calculate the primary resources and emissions associated with a given final demand. However, one of these alters the PIOT, revealing different technical coefficients and Leontief inverse matrices. Which method should be used for structural analysis? In this paper, I compare both methods, explain the structural differences between them and illustrate the latter through a backward linkage analysis. I find that only one method is suited to the analysis of the physical structure of the economy, since it comprehends both the production of goods and associated emissions. The method is identified as a new model capable of tracing by-products as final outputs. Finally, I generalise both methods to analyse PIOTs including several emission types.
With the increasing metabolic throughput, the city as a giant organism causes resource consumption and environmental pollution, which become a bottleneck for urban ecological systems to develop healthily. Using Beijin...
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With the increasing metabolic throughput, the city as a giant organism causes resource consumption and environmental pollution, which become a bottleneck for urban ecological systems to develop healthily. Using Beijing as an example, we adopt the material flow method to account for resource consumption and waste emissions during the urban metabolic process. Combined with a monetary input-outputtable (MIOT) for Beijing in 2002, we compile a physical input-output table (PIOT) and build an ecological network model of the urban metabolic system including 45 nodes and 1761 network paths. Using flow analysis and utility analysis methods of ecological network, we can study the complex relationships and hierarchical structure to reveal the crux that results in the disorder of the urban metabolic process; thus, it can provide a scientific basis for healthy development of urban ecological systems.
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