Testing Assumptions Made in the Construction of Input–output Tables

Rueda‐Cantuche, José M.; Raa, Thijs ten

doi:10.1080/09535314.2013.774265

Cited by 8 publications

(6 citation statements)

References 9 publications

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“…Another important element is the principal decision to construct the database as a supply‐use table (SUT) (as is the case with EXIOBASE), which can be converted via various techniques into a GMRIO (with again implications for calculated footprints), or directly available as a GMRIO (e.g., GTAP, WIOD, or ICIO). It can be expected that country‐level footprints vary as a function of the model that is used to construct the IOT from the SUT (e.g., the industry or product technology assumption, and others; see Eurostat []; Rueda Cantuche and ten Raa [, ]).…”

Section: Factors Affecting Robustness Of Footprints Calculated With Gmentioning

confidence: 99%

Towards Robust, Authoritative Assessments of Environmental Impacts Embodied in Trade: Current State and Recommendations

Tukker

Koning

Owen

et al. 2018

J of Industrial Ecology

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SummaryGlobal multiregional input-output databases (GMRIOs) became the standard tool for tracking environmental impacts through global supply chains. To date, several GMRIOs are available, but the numerical results differ. This paper considers how GMRIOs can be made more robust and authoritative. We show that GMRIOs need detail in environmentally relevant sectors. On the basis of a review of earlier work, we conclude that the highest uncertainty in footprint analyses is caused by the environmental data used in a GMRIO, followed by the size of country measured in gross domestic product (GDP) as fraction of the global total, the structure of the national table, and only at the end the structure of trade. We suggest the following to enhance robustness of results. In the short term, we recommend using the Single country National Accounts Consistent footprint approach, that uses official data for extensions and the national table for the country in question, combined with embodiments in imports calculated using a GMRIO. In a time period of 2 to 3 years, we propose work on harmonized environmental data for water, carbon, materials, and land, and use the aggregated Organization for Economic Cooperation and Development (OECD) Inter-Country Input-Output GMRIO as default in combination with detailing procedures developed in, for example, the EXIOBASE and Eora projects. In the long term, solutions should be coordinated by the international organizations such as the United Nations (UN) Statistical Division, OECD, and Eurostat. This could ensure that when input-output tables and trade data of individual countries are combined, that the global totals are consistent and that bilateral trade asymmetries are resolved. Keywords:embodiments in trade footprints impact assessment industrial ecology input-output analysis (IOA) statistical offices Conflict of interest statement:The authors have no conflict to declare.

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Section: Factors Affecting Robustness Of Footprints Calculated With Gmentioning

confidence: 99%

Towards Robust, Authoritative Assessments of Environmental Impacts Embodied in Trade: Current State and Recommendations

Tukker

Koning

Owen

et al. 2018

J of Industrial Ecology

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“…--ten Raa and van der Ploeg (1989): using SUTs data variances and a maximum likelihood approach, obtain new, updated SUTs that are consistent with non-negative IO coefficients under commodity technology model, sensitivity of input coefficients with respect to SUTs entries is examined. See also ten Raa (1988), Mattey and ten Raa (1997), and Rueda-Cantuche and ten Raa (2013).…”

Section: Supply and Use Tables/flows (Suts)mentioning

confidence: 99%

Volatility of the structure of intersectoral relations of Ukraine’s economy

Yastremskii¹,

KULYK²

2020

Ekon. prognozuvannâ

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This work provides an extensive overview of the input-output (IO) literature, both theoretical and empirical, dealing with the inherent IO data uncertainty issues. The survey is carried out on the basis of a specific uncertainty technique used, rather than taking a chronological overview approach, which also allows for easier comparisons and linking of the outcomes of the individual contributions. Thus, we discuss the literature within seven methodological blocks (sections), which include deterministic error analysis, econometric and other (non-Bayesian) statistical approaches, random error analysis and probabilistic approach, full probability density distribution approach, Monte Carlo analysis, Bayesian approach, and other techniques. Within each section, the literature on a certain topic is reviewed in its historical context, which helps to clarify the state of the art. Our main findings from this survey, related discussions, final remarks and observations are given in the concluding section.

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Section: Supply and Use Tables/flows (Suts)mentioning

confidence: 99%

Volatility of the structure of intersectoral relations of Ukraine's economy

Yastremskii¹,

KULYK²

2020

Economy and forecasting

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The article deals with the volatility of intersectoral flows in Ukrainian economy during 2000–2017. For this purpose, the authors construct a dynamic matrix series of direct cost coefficients in comparable detail (19 economic activities (EAs)); calculate statistical characteristics of 361 dynamics (19x19) and coefficients of direct expenses of Ukraine's intersectoral balance; and analyze the dynamics of cost indicators of Ukraine's economy (the ratio of GDP to total output, the Frobenius – Perron numbers) and those of economic activities (the Brauer – Perron numbers). Construction of the historical series of the matrix of direct costs in comparable detail is achieved by aggregating the "input - output" tables. Volatility is assessed using indicators of variation, relative variation, sample standard deviation, standard deviation per mean, historical volatility, and standard trend error (regression), i.e. trend volatility. Volatility of intersectoral flows in Ukraine is significant. The maximum variation for the coefficients of direct costs for EA "Information ..." for all years of observation was 0.3144, for EA "Water Supply" - 0.3004, and for EA "Art" - 0.2673. Derivative aggregates (Brauer-Solow numbers, relative EA cost) are also volatile. According to estimates of the standard deviation, the agrosector is the most stable, the most unstable - public administration. Economy Ukraine has a significant margin of productivity. A sufficient Brauer-Solow condition for the productivity of the direct cost matrix is guaranteed to be satisfied for all years of observation. Out of 361 coefficients of direct costs, time trends are recorded for 166. Among them, 91 have an upward trend, 65 - a downward trend. To fix the presence of the trend, the authors use the probability of deviation of the hypothesis about the significance of the linear dependence of the coefficients of direct costs on time. The high cost intensity of the economy is a general economic problem of Ukraine. The ratio of GDP to total output in Ukraine is about 40%, while in developed countries, this figure is close to 60%. Reducing costs is a significant resource for economic growth in Ukraine.

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Testing Assumptions Made in the Construction of Input–output Tables

Cited by 8 publications

References 9 publications

Towards Robust, Authoritative Assessments of Environmental Impacts Embodied in Trade: Current State and Recommendations

Towards Robust, Authoritative Assessments of Environmental Impacts Embodied in Trade: Current State and Recommendations

Volatility of the structure of intersectoral relations of Ukraine’s economy

Volatility of the structure of intersectoral relations of Ukraine's economy

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