Edited by Matthias Ruth and Brynhildur Davidsdottir
Chapter 5: Estimating Generalized Regional Input–Output Systems: A Case Study of Australia
Blanca Gallego and Manfred Lenzen INTRODUCTION 5.1 The past decades have seen a revival of input–output analysis, in particular that of generalized systems featuring physical factors such as energy, greenhouse gas emissions, or employment. The authors are part of a research initiative that uses the static input–output method for ex post reporting across a range of economic, social and environmental indicators (the ‘triple bottom line’; see http://www.isa.org.usyd.edu.au) on individual, company, council, city, regional, state and national scales (Foran et al. 2005). One of the requirements of such an input–output-assisted reporting framework is that it should provide rich regional and commodity detail in order to be able to inform on a wide range of issues. This is especially true for a large country such as Australia, where regions differ substantially in their economic, social and environmental endowments. Most statistical bureaus publish only national input–output tables, at least on a regular basis. Regionalizing national input–output systems has been a topic in the regional science literature for at least three decades. The main obstacle to estimating reliable regional input–output tables has been the lack of data, especially on interregional trade flows. The main encouragement has been the observation that reasonable holistic accuracy (that is, accuracy of impact measures such as multipliers) can be achieved if only a few but important trade flows are estimated with low enough uncertainty. A viable way of building regional input–output tables in the absence of complete interregional trade data is...
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