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There are increasing numbers of published articles in the field of input–output analysis and modelling that use the GTAP input–output database; particularly, in relation to the estimation of carbon, energy and water footprints and the analysis of global value chains and international trade. The policy relevance of those topics is also increasing, thus calling for consistently linking these databases with official statistics. Although, so far, GTAP has been using their own classification and reconciliation methods, this paper develops a new conversion method for the EU that guarantees that the EU-GTAP database respects the new statistical standards and Eurostat official statistics. We recommend for future updates, a shift of the current GTAP classification of industries to the new official standard classifications to which countries are progressively moving to. Otherwise, the lack of matching official data would jeopardize the usefulness of such database. This method can be extended to other similar input–output databases with different classification schemes from the original input data sources.

Every change in the product and/or industry classifications and/or methodology of supply, use and input–output tables makes any medium- to long-term policy analysis impossible unless appropriate co...

We present a multidimensional generalization of the GRAS method (nD-GRAS) for the estimation of multiple matrices in an integrated framework. The potential applications of this method in regional and multi-regional input–output analyses based on national/regional accounts frameworks are many. We provide two real applications, a 3D-GRAS that estimates a use table at basic prices jointly with valuation matrices for Denmark; and a 4D-GRAS for estimating intercountry input–output tables with OECD data. We show that higher dimensional GRAS methods provide more consistent and accurate estimates than those with lower number of dimensions. We provide the analytical closed-form solution and the RAS-like algorithm for an easy operationalization.

We have introduced in this paper new variants of two methods for projecting Supply and Use Tables that are based on a distance minimisation approach (SUT-RAS) and the Leontief model (SUT-EURO). We ...

In applications, it is often necessary to link heavily aggregated macroeconomic datasets adhering to different statistical classifications. We propose a simple data reclassification procedure for t...

Kop Jansen and ten Raa’s (1990) characterization of product-by-product input–output tables was adopted by the United Nations (1993). Recent OECD and several EU funded projects, however, used industry-by-industry tables, which raises comparable issues concerning their construction. We show how their two main construction models are instances of the transfer principle, with alternative assumptions on the variation of input–output coefficients across product markets. We augment the theory by formulating desirable properties for industry tables and investigate the so-called fixed product and fixed industry sales structure models, which are used by statistical institutes. The fixed industry sales structure model is shown to be superior from an axiomatic point of view.

The European Commission is currently establishing an Environmentally Extended Input–Output (EE-IO) Database for the EU27 developed by the Joint Research Centre at the Institute for Prospective Technological Studies (IPTS). This project attempts to generate an analytical dataset comprising all EU countries and yearly time series for the period 1995–2005. Since, for the time being, IO and environmental accounts data are only available with significant gaps part of the dataset will require estimates based on best available proxy data and reasonable assumptions. This paper is focused on the IO database shaped around Eurostat supply and use tables and symmetric IO tables consistent with the NACE classification. The paper describes the procedure by which the latest preliminary results have been obtained for an aggregate EU27 symmetric input–output table for the year 2000.

This is a submitted manuscript of an article published by Taylor & Francis in Economic Systems Research on 04 Aug 2014, available online: https://www.tandfonline.com/doi/10.1080/09535314.2014.939949 We explore two different worldwide multi-regional input–output (MRIO) databases (Global Trade Analysis Project-MRIO and World Input–Output Database) for the calculation of the global carbon footprint (CF) of nations. We start our analysis with a description of the main characteristics of the databases and then make a comparison between their main components. Then, we calculate the CF with both databases and identify (from a global perspective) the most relevant factors underlying their differences using structural decomposition analysis. On average, certain parts of both databases (e.g. intermediate uses and final demand) can be said to be similar for around 75% to 80%, with only a few elements in each part mainly driving the major differences. The divergences in the datasets of four countries explain almost 50% of the differences in the CF (the USA, China, Russia and India). Industry-wise, 50% of the differences can be explained by the divergences in electricity, refining and inland transport industries.

Product input–output (IO) tables are mainly constructed on the basis of product and/or industry technology assumptions. The choice is not trivial and deserves empirical analysis using input and output data at the level of establishments. This paper offers input–output compilers econometric tests to facilitate the construction of tailored hybrid technology-based product IO tables. We provide weighted likelihood ratios of the product and industry technology assumptions. Although the proposed econometric tests are aimed to be used ex ante, we construct four variants of hybrid technology-based product IO tables using establishment data from Andalusia (Spain) and contrast them to the official product IO table and the pure product and industry technology-based tables. Our econometric tests are not valid for industry IO tables., JRC.J.5-Sustainable Production and Consumption

This paper presents the strategy for a large EU-funded Integrated Project: EXIOPOL ("A New Environmental Accounting Framework Using Externality Data and Input-Output Tools for Policy Analysis"), with special attention for its part in environmentally extended (EE) input-output (IO) analysis. The project has three principal objectives:(a) to synthesize and further develop estimates of the external costs of key environmental impacts for Europe;(b) to develop an EE IO framework for the EU-27 in a global context, including as many of these estimates as possible, to allow for the estimation of environmental impacts (expressed as LCA themes, material requirement indicators, ecological footprints or external costs) of the activities of different economic sectors, final consumption activities and resource consumption;(c) to apply the results of the work to external costs and EE I-O for illustrative policy questions. (C) 2008 Elsevier B.V. All rights reserved.

Kop Jansen and ten Raa (1990) established a purely theoretical solution to the problem of selecting a model for the construction of coefficients on the basis of make and use tables. In an axiomatic context, they singled out the so-called commodity technology model as the best one according to some desirable properties. The aim of this paper is to delineate the restrictions on the relevant data sets that ensure fulfillment of the desirable properties by other models used by statistical offices.