Techniques for Evaluating the Differences in Multiregional Input-Output Databases: A Comparative Evaluation of Co2 Consumption-Based Accounts Calculat » książka
Chapter 1 Introduction.- Chapter 2 Literature review.- Chapter 3 Methodology and data.- Chapter 4 Using matrix difference statistics to compare MRIO databases.- Chapter 5 Using decomposition techniques to determine cause of difference in MRIO databases.- Chapter 6 Discussion.- Chapter 7 Conclusion.- Chapter 8 List of References.- Chapter 9 Appendix.
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.