Environmentally Important Inter sectoral Flows: Insights from Main Contributions Identification and Minimal Flow Analysis

Abstract

For the analysis of economic interdependences form an environmental perspective, a condensation of the information contained in input-output (IO) tables is desirable, but without much loss of the quantitative dimension. For the case of total energy requirements, main contributions identification is presented as an approach that allows a partitioning of total energy requirements by production layers and (final) energy-consuming sectors. For this purpose, a mixed monetary-energy IO model and a partitioning procedure are used. In addition, minimal flow analysis as a graphical method is used to detect importnant energetic interconnections. Environmentally Important Intersectoral FlowsEnergy, environment, main contributions identification, minimal flow analysis,

Errors in Conventional and Input‐Output—based Life—Cycle Inventories

“…The curves, which are moving averages over five commodity groups adjacent in terms of their energy multiplier, confirm the results shown in figure 1: The system completeness increases with increasing direct energy multiplier for all orders. This result is consistent with "concentration ratios" obtained for cumula-tive energy requirements for West Germany by Weber and Schnabl (1998). It is interesting that the relative change in system completeness with order k is surprisingly uniform over commodities for k≥2.…”

A Generalized Input-Output Multiplier Calculus for Australia

“…Recent applications include the extraction of embodied energy paths as a new approach to life-cycle analysis (Treloar, 1997), the identi® cation of environmentally important intersectoral¯ows (Weber & Schnabl, 1998), the dynamic assessment of the environmental implications of Indonesia's second long-term development plan (Lange, 1998), structural decomposition analyses of greenhouse gas emissions (Wier, 1998) and energy use (Mukhopadhyay & Chakraborty, 1999), and analyses of eþ ects and potentials of energy use and CO 2 emissions reductions (Wilting et al, 1999;Kratena & Schleicher, 1999). In this article, a generalized input± output framework for Australia is described.…”

Aggregate Measures of Complex Economic Structure and Evolution

“…They assembled the ( K ij ) into a transactions round matrix K showing the number of times sectors supply each other. According to Robinson and Markandya (1973, 125), the total number of transactions “measures the total amount of information required by the system to reach equilibrium (and thus is perhaps a good measure of the complexity of the system).” This measure was also used by Bosserman (1981) to describe ecosystems and by Schnabl and coworkers (Holub and Schnabl 1985; Weber and Schnabl 1998; Schnabl 1994) in qualitative input−output analysis and minimal flow analysis.…”

“…measures the total amount of information required by the system to reach equilibrium (and thus is perhaps a good measure of the complexity of the system)." This measure was also used by Bosserman (1981) to describe ecosystems and by Schnabl and coworkers (Holub and Schnabl 1985;Weber and Schnabl 1998;Schnabl 1994) in qualitative input−output analysis and minimal flow analysis. Chenery and Watanabe (1958) were the first to point out the use of input−output table triangulations for determining the degree of one-way interdependence within total interdependence.…”