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Techniques for Evaluating the Differences in Multiregional Input-Output Databases

A Comparative Evaluation of CO2 Consumption-Based Accounts Calculated Using Eora, GTAP and WIOD

  • Anne Owen

Part of the Developments in Input-Output Analysis book series (DIOA)

Table of contents

About this book

Introduction

This book introduces the Eora, Global Trade Analysis Project (GTAP) and World Input-Output (WIOD) databases and provides detailed metadata on the data sources, database structures and construction techniques used to build each system. It offers a detailed account of how multi-regional input–output (MRIO) databases are used to calculate consumption-based accounts – guiding the reader through each mathematical step and explaining the associated equations. It demonstrates that different MRIO databases calculate different national level consumption-based CO2 accounts. If these results are to be used as evidence in climate policy-making, analysts need to be confident about the accuracy of the databases and understand why the results differ.

It carefully explains the mathematical equations behind each technique and provides a link to a repository where the reader can access specially prepared MATLAB functions associated with the techniques.

To make meaningful comparisons between the three MRIO databases, each is mapped to a consistent classification system comprising 40 countries and 17 sectors. Further, readers can access the aggregated databases using the link provided. The effect of this aggregation is shown to be minimal, so readers can be confident that the aggregated versions of each database reflect the full-sized versions.

The book concludes by making recommendations as to how future MRIO databases could be accurately and consistently constructed and how they should be used in policy-making in light of the findings.

Keywords

Model uncertainties Matrix differences measures Structural decomposition analysis Structural path decomposition Reliability of model outcomes

Authors and affiliations

  • Anne Owen
    • 1
  1. 1.University of Leeds LeedsUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-51556-4
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Earth and Environmental Science
  • Print ISBN 978-3-319-51555-7
  • Online ISBN 978-3-319-51556-4
  • Series Print ISSN 2511-2139
  • Series Online ISSN 2511-2147
  • Buy this book on publisher's site
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