THE BIAS OF THE MULTIPLIER MATRIX WHEN SUPPLY AND USE TABLES ARE STOCHASTIC

The literature on stochastic input–output (I–O) analysis has paid considerable attention to the bias in the Leontief inverse. This paper extends previous studies by assuming supply and use tables (SUTs rather than I–O tables or input coefficients matrices) to be stochastic. This is a natural starting point because SUTs have become the basic data sources for I–O applications. In a Monte Carlo simulation experiment, a given SUT is randomized in two different ways and the effects are determined for eight different multiplier matrices. The analysis is carried out for Spain, Italy, the Netherlands, Germany and Finland, using their SUTs for 2006. The findings indicate that, in general, biases are statistically significant but negligibly small. This corroborates earlier findings obtained for stochastic I–O tables.     

Make and Use Approaches to Regional and Interregional Accounts and Models

Institutional, or sector-by-sector input–output tables have traditionally been used in regional and interregional modelling. This paper examines the origins of this tradition and argues instead, both theoretically and empirically, for the integration of make and use submodels within models of production, demand and interregional trade, outlining the manner in which they can be integrated. Further, it is argued that structural rather than reduced-form models represent a sounder theoretical base. Finally, a Danish interregional model (LINE) based on a social accounting matrix framework that employs these principles is presented. The paper also deals with the issue of data construction at the regional and interregional levels, based on the make and use approach. It is argued that when data are constructed at a low level of sectoral and spatial aggregation under accounting consistency constraints, data quality and validity are high.     

REGIONAL WATER FOOTPRINTS OF THE YANGTZE RIVER: AN INTERREGIONAL INPUT–OUTPUT APPROACH

Recently, researchers have applied the multi-regional input–output (MRIO) approach to water footprint (WF) analysis. The concept of interregional input–output (R-MRIO) was developed to analyse regional issues. Researchers have concentrated on the development of global or international input–output (N-MRIO) tables. Using the N-MRIO and the R-MRIO approach allows the study of global and regional issues, respectively. The WF is an indicator influenced by trade among nations and regions. However, the treatment of imports in an R-MRIO approach differs in whether international imports are separated or combined. We evaluate the effects of the difference between these models and discuss policy implications for the Yangtze River, China. The WF calculated using the combined type model is 11% larger than that by the separated type model. This difference can be ascribed to international imports, mainly internal consumption and interregional trade. We find that this difference affects social equity in water-abundant areas.     

THE COMPILATION OF CHINA'S INTERREGIONAL INPUT–OUTPUT MODEL 2002

The increasing economic interaction among various regions in China makes the construction of an interregional input–output table relevant for economic studies. This paper elaborates the model compilation procedure of the China Interregional Input–output model 2002. The key features of the model compilation include: (1) using representative commodities to estimate the interregional commodity flows of the primary industries; (2) adopting functions to estimate the decreasing interregional transportation of manufacturing sectors in relation to distance and (3) selecting appropriate indicators to estimate the interregional commodity flows of non-material sectors. This study is an initial attempt in interregional input–output modelling and might be helpful for economic studies at the levels of micro-regions.     

HARMONISING NATIONAL INPUT—OUTPUT TABLES FOR CONSUMPTION-BASED ACCOUNTING — EXPERIENCES FROM EXIOPOL

Environmentally extended, multi-regional, input–output (MRIO) databases have emerged to fulfil the need for mapping the impacts of globalisation, following resource-intensive supply chains crossing country borders. EXIOBASE is one such data set designed for use in analysis relevant to resource use and European Union policy. It provides the most detailed harmonised sector classification in any MRIO and integrates data from a wide range of sources. We review the necessary steps in order to harmonise source data in MRIO databases, and describe methods to increase the product and industry detail of aggregate supply and use tables (SUTs) in order to provide a homogenous classification across countries that allows resource-specific modelling. We cover mathematical programming approaches used to reconcile data sets, and investigate some implications of reverse engineering symmetric input–output tables and disaggregating the SUTs. We focus particularly on the footprint multiplier at the product level, where policy formation is targeted.     

WHITHER PANAMA? CONSTRUCTING A CONSISTENT AND BALANCED WORLD SUT SYSTEM INCLUDING INTERNATIONAL TRADE AND TRANSPORT MARGINS

This paper extends work done within the World Input–Output Database project (WIOD), which compiled supply and use tables (SUTs) for 40 countries, covering about 85% of the world economy, by adding SUTs for the “rest of the world” (RoW), the approximately 15% of the world economy not covered by the 40 countries included in the WIOD database, ensuring a consistent and balanced world SUT system. The term “consistency” means that at the world level, all flows of goods and services balance, properly accounting for trade and transport services used in international trade (the “cif-fob difference”). This results in SUTs for the RoW which, together with bilateral trade matrices for all commodities (and together with the 40 national SUTs from the WIOD project), describe a consistent SUT system at the world level.     

Incorporating data quality improvement into supply–use table balancing

This paper investigates the benefits of using a boundary tightening algorithm to improve the quality of the data used in supply and use table (SUT) balancing, building on similarities with certain approaches to statistical disclosure control. Boundary tightening was shown to significantly improve the quality of the finally balanced SUTs well beyond that of existing techniques. Most notably, improvements occurred when boundary tightening was applied prior to the balancing process – showing that it can be used as a valuable preliminary to other approaches. It also multiplied the improvement in SUTs quality when more accurate updated information was added to the SUTs. The findings of this paper strongly suggest that this boundary tightening algorithm will improve the quality of the output of the balancing process and it is equally likely to be useful when applied to other processes that handle uncertain data.     

SIMULTANEOUSLY BALANCING SUPPLY–USE TABLES AT CURRENT AND CONSTANT PRICES: A NEW PROCEDURE

According to the 1993 System of National Accounts, the annual Supply–Use Tables (SUTs) need to be compiled at both current and constant prices by the National Institutes of Statistics. The most appropriate way to obtain consistent SUTs at both current and constant prices is to balance them simultaneously but, in this case, the main complexity is the nonlinearity that inevitably occurs. This paper proposes a new method to balance extremely large sets of National Accounts simultaneously at current and constant prices. The distinctive features of the proposed balancing method are its flexibility, which is very high compared with the other methods in the literature, and its capability to allow the control of the consistency of the system of deflators that are used. This new balancing method has been applied to balance the Italian 2006 SUTs simultaneously at current and constant prices, and it has yielded very good outcomes.     

An interregional policy model for energy-economic-environmental interactions

This article deals with conflicts between energy, pollution and economic issues in an interregional framework. On the basis of an interregional input output model extended with pollution and energy sectors a policy analysis aiming at finding compromise solutions forconflicting objectives is carried out. The rigid input output structure is adjusted by incorporating price effects of inputs via demand relationships based on a translog price possibility frontier. The analysis is illustrated by means of some empirical applications to the Dutch economy.     

ESTIMATION OF SYMMETRIC INPUT–OUTPUT TABLES: AN EXTENSION TO BOHLIN AND WIDELL

This paper presents two optimisation models for use in the production of symmetric input–output tables (SIOTs) based on data contained within supply-use tables (SUTs). The first model produces commodity-by-commodity SIOTs derived from the selection of appropriate technology assumptions, while the second produces industry-by-industry SIOTs derived through the selection of appropriate sales structure assumptions. Both models address the problem of negative coefficients and also permit the use of rectangular SUTs as base input data. Additionally, this paper explores the development of a ‘comprehensive model’ enabling production of both commodity-by-commodity and industry-by-industry SIOTs that are conceptually and mathematically consistent.     

Hypothetical extractions from a global perspective

ABSTRACT

The hypothetical extraction method (HEM) has been widely used to measure interindustry linkages and the importance of industries. HEM considers the hypothetical situation in which a certain industry is no longer operational. HEM was developed for national economies, using national input–output tables. When performing HEM, it is assumed (often implicitly) that the input requirements that were originally provided by the extracted industry are met by additional imports in the post-extraction situation. Applying HEM to global multiregional input–output tables then causes serious problems. It is no longer sufficient to assume that the required inputs are imported. Instead, it is necessary to indicate explicitly how much is imported from each origin to replace the original inputs. Our adaptation of HEM is the global extraction method (GEM). As an illustration, GEM is applied to the extraction of the motor vehicle industry in China, the US, and Germany, using the 2014 WIOD input–output table.     

CONSTRUCTION OF MULTI-REGIONAL INPUT–OUTPUT TABLES USING THE CHARM METHOD

Subnational multi-regional input–output tables (IOT) are important tools for studying interregional socio-economic and/or environmental interrelations that help to address a wide range of current societal, ecological and economic challenges. However, the lack of subnational input–output data is a major obstacle which leads to a wide use of non-survey methods. Like other non-survey methods, the cross-hauling adjusted regionalization method (CHARM) was originally developed for the construction of single-regional IOT. In this paper, we extend CHARM to the case of bi- and multi-regional IOT. We find that the original CHARM formula has two limitations that are also of great importance for the single-regional case: First, cross-hauling in interregional trade is implicitly set to zero and, second, accounting balances may be violated owing to structural differences between the regional and national economies. We present a modified formula addressing these issues and examine its performance in terms of a case study.     

Global financial uncertainty

We estimate a novel measure of global financial uncertainty (GFU) with a dynamic factor framework that jointly models global, regional, and country-specific factors. We quantify the impact of GFU shocks on global output with a VAR analysis that achieves set identification via a combination of narrative, sign, ratio, and correlation restrictions. We find that the contraction in world output during the Great Recession would have been 13% milder in absence of GFU shocks. We also find support for a global finance uncertainty multiplier: the more global financial conditions deteriorate after a GFU shock, the larger the world output contraction is.     

INTEREG: A Twenty-region Input–Output Model for Italy

Since the regional scale turns out to be the scale at which fiscal devolution is likely to be accomplished in Italy, and that at which trade and growth interdependencies as well as regional convergence can be most conveniently investigated, a new 20-region input–output model for Italy seems to be a useful tool of analysis. Although various regional and interregional models have been constructed since the 1950s, none has been implemented for the whole system of 20 Italian administrative regions considered in their tight mutual dependence; also, the pool approach has not been greatly favoured, even in situations where direct information on regional trade is lacking. The main purpose of this paper is to report on the structure of the model, the rather complex procedure used in the model construction and the adopted solution technique. Some space is devoted to the problems encountered in handling regional trade endogenously in an input–output setting and to a comparison between the pool approach, used in the Italian model, and other current techniques. The paper also reports on some preliminary results regarding the regional impact of fiscal policy.     

A NEW SUT CONSOLIDATION METHOD TESTED BY A DECOMPOSITION OF VALUE ADDED AND CO2 EMBODIED IN EU27 EXPORTS

This paper develops a method to consolidate national supply–use tables (SUTs) into a single supra-regional SUT. The method deals with mirror trade statistics problems, such as the different valuation of imports and exports, and it corrects for double-counting re-exports. The method is tested by means of a decomposition of value added and CO₂ emissions embodied in EU27 exports to third countries. When the national SUTs for the period 2000–2007 are used, neglecting intra-European Union spillover and feedback effects results in an underestimation of the embodied value added of 12–15%. Not consolidating the national tables properly leads to a further underestimation of 11–16%. With these underestimations removed, EU27 foreign exports still only explain around 11% of EU27 Gross Domestic Product, whereas they explain 17% of the EU27 CO₂ emissions. Hence, the income benefits of these exports are, in relative terms, considerably smaller than their CO₂ emission cost.     

A Simple Multi-Regional Input–Output Account for Waste Analysis

The present paper provides a simple multiregional input–output model for waste analysis with which to estimate intraregional and interregional effects of industrial wastes embodied in regional final consumptions. The empirical analyses using 1995 nine-regions input–output tables reveals the regional properties of the interregional linkage effects. The Kanto and Kinki regions remarkably control the industrial waste emissions and waste landfills within their own regions by importing waste-intensive intermediate goods and services from the other regions. The Chugoku and Shikoku regions greatly contributed to the production of the waste-intensive goods and services for the other regions, considering the waste emissions and waste landfills relative to the commodity production levels. We also find that the household consumption behaviour in other regions indirectly plays a more important role in waste emissions than the municipal waste disposal behaviour in the region in question at least in 1995.     

Interregional Input–Output Modelling in Indonesia: A Constrained Growth Rate Approach with Endogenous Investment

In interregional input–output (IO) models, investment can be endogenized in many different ways, varying from dynamic Leontief-type solutions to computable general equilibrium (CGE) models. However, large versions of these models are difficult to implement because of the absence of the required data. In this paper, a different, less data-demanding treatment of regional investment is presented for an interregional IO forecasting model in which a simultaneous solution is given for regional GDP by industry, on the one hand, and for regional aggregate investment, on the other hand. In this way, investment plays its role as a disaggregate demand factor by industry and region, as well as being an aggregate supply constraint on regional capital stock at the same time. Some empirical results are presented for a 27-region model in Indonesia, which has been used by the government during the preparations for the new national 5-year plan for 1994–1999.     

Appropriate assumption on cross-hauling national input–output table regionalization

Input–output tables are useful for regional economic analyses. Although scholars often regionalize national input–output tables, cost-related issues make surveying regional trade flow difficult; hence, non-survey approaches are implemented instead. While location quotient (LQ) approaches have been used widely, they ignore cross-hauling in interregional trade. Therefore, alternative non-survey approaches with different assumptions on cross-hauling are used, such as cross-hauling depends on regional size and cross-hauling is proportional to its potential determined by output or demand. This study concludes that the most appropriate assumption, as per the relative performance of non-survey approaches, is that cross-hauling is in proportion to trade volume.     

Spatial and sectoral characteristics of China’s international and interregional virtual water flows – based on multi-regional input–output model

This paper provides a systematic analysis of spatial and sectoral characteristics and changes in virtual water flows associated with China’s interregional and international trade based on the China interregional input–output tables of 2002 and 2007. The results show significant improvement in water use efficiency between 2002 and 2007. However, the general spatial patterns and sectoral components of virtual water flows have more or less remained during the period. Almost all Chinese provinces are net exporters of virtual water in international trade. In interregional trade, the dominant direction of virtual water flow is from peripheral provinces to eastern coastal provinces. The agricultural sector plays an important role in shaping this direction and has significant impacts on water uses in exporting provinces, some of which are water scarce. The results of this study clarify some confusions concerning mismatches between regional water endowments and virtual water trade within China and with other countries.     

A note on distortions from estimating the regional impacts of exogenous changes in output

This paper demonstrates both theoretically and empirically that when outputs instead of final demands are exogenously predetermined, the traditional Leontief final demand model overestimates economic impact, and even more so in a multiregional context. We assess this premise vis-à-vis the Leontief output model using the 2013 interregional input–output table of the Republic of Korea. We find that from a multiregional perspective the standard Leontief final demand model yields substantially biased output multipliers for Chungbuk Province.