A Synthetic Approach to Projecting Input–Output Tables

This paper describes an approach used in the Canadian input–output (IO) accounts, which seeks to enhance the timeliness of the tables. It combines traditional updating methods, balancing techniques and the most recent data. To assess the performance of this approach, aggregate estimates from the synthetic accounts are presented for two years, and compared with estimates from benchmarks and with estimates obtained from a mechanical estimation technique. The results show that most IO components can be estimated with a relatively small estimation error and that substantial accuracy is gained from using the synthetic approach compared with a mechanical technique. Results based on data which are two years away from IO benchmarks are obtained at the cost of large errors. Synthetic estimates of the IO accounts improve the timeliness problem by at least a full year.     

Linkage Measures: a Revisit and a Suggested Alternative

This paper examines major linkage measures in the literature from different perspectives and attempts to clarify some of the controversies over them. The examination and clarification suggest more refined backward and forward linkage measures for linkage indices construction. The measures are then applied to analyse the linkages of Hawaii’s agriculture sectors.     

Alternative Approaches of Physical Input–Output Analysis to Estimate Primary Material Inputs of Production and Consumption Activities

In the last few years, a number of studies have been presented that link material flow accounting and input–output analysis (based on monetary input–output tables) for the calculation of direct and indirect resource inputs for production and consumption activities. The compilation of the first physical input–output tables for some European countries in the 1990s opened new possibilities for linking physical accounting and input– output analysis. Physical input–output analysis has so far only been applied for selected materials, but it has not been used for comprehensive assessments of material requirements of economic activities. In this paper, possibilities and limits of this new input–output approach are clarified. We present and discuss a procedure similar to monetary input– output analysis and develop an alternative approach to account for primary inputs and waste otherwise not included in the analysis. Based on aggregated input–output tables for Germany, we present numerical examples intended to compare the alternative approaches of physical input–output analysis.     

Structural Decomposition Techniques: Sense and Sensitivity

Structural decomposition techniques are widely used to break down the growth in some variable into the changes in its determinants. In this paper, we discuss the problems caused by the existence of a multitude of equivalent decomposition forms which are used to measure the contribution of a specific determinant. Although it is well known that structural decompositions are not unique, the extent of the problem and its consequences seem to have been largely neglected. In an empirical analysis for The Netherlands between 1986 and 1992, results are calculated for 24 equivalent decomposition forms. The outcomes exhibit a large degree of variability across the different forms. We also examine the two approaches that have been used predominantly in the literature. The average of the two so-called polar decompositions appears to be remarkably close to the average of the full set of 24 decompositions. The approximate decomposition with mid-point weights appears to be almost exact. Although this last alternative might seem a solution to the problem of the marked sensitivity, in fact, it only conceals the problem.     

Does It Make Sense to Apply the Static Open Input–Output Model for Imputation and Structural Decomposition?

This paper aims to stimulate discussion on the question concerning whether input–output (10) analysts should go on applying the static open 10 model in times when data supply and computer capacity allow us to switch to semi-closed 10 models, which are rated as comparative improvements. It is argued that the most frequent of the open 10 model's applications, i.e. imputations and structural decompositions, with a switch to a semi-closed model, lose the properties which make them so attractive: imputations no longer are straightforward assignments of production and primary inputs to the components of total final demand; structural decomposition no longer is an additive assignment of changes of production and primary inputs to sources of structural change. In the author's opinion, imputations and structural decompositions on the basis of the open 10 model should be abandoned.     

European Community Intercountry Input–Output Relations: Construction Method and Main Results for 1965–85

Eurostat constructs consolidated input–output (IO) tables for the European Community (EC) by means of an aggregation of the domestic and the intra-EC import matrices from the harmonized national IO tables. Intercountry EC IO tables can be constructed by disaggregating the intra-EC imports according to country of origin, with coefficients derived from international trade statistics. These procedures, however, produce inadequate outcomes for several reasons. The most important reason is that the imports are valued in ex-customs prices, instead of the theoretically more appropriate producers' prices. This paper analyzes the nature of these and other data problems, and describes a more extensive and satisfactory method to construct intercountry and consolidated EC IO tables. The empirical results are illustrated by an analysis of the domestic and intercountry intersectoral spillover effects for 1965–85.     

Queensland State Impact and Projection Model: The Household Sector

The Queensland Impact and Projection model is an integrated input–output econometric model of the Queensland economy. Its purpose is to complement a conventional input–output model for analyzing economic impacts at the state level. This paper provides an overview of some of the methods used to model the household sector in an input–output framework, before describing the approach taken in the Queensland model. Some results which support the empirical performance of the model are also provided. It is demonstrated that the integrated model is a viable alternative and improvement on the conventional input–output model. The results are consistent with the static input–output model and conform to expectations about how the economy responds in real impact situations.     

Optimization in a Dynamic Leontief Model with Restricted Value Growth

The purpose of this paper is to develop a dynamic Leontief model of an msector economic system in which the production of all goods requires one time period and one primary factor, but no capital stocks of any good, and in which the total value of outputs from all sectors is required to grow at a specified rate in each period. The requirement of a fixed rate of total value growth is less restrictive than the familiar condition of balanced growth across all sectors, and it permits the definition and analysis of interesting finite-period optimization problems. Specific results of the paper include the following: (1) the proof that a value-added maximization problem with an unrestricted initial state will experience consumption in exactly one sector in each time period, and willyield an optimal value function which is linear in the variables that describe the terminal state of the system; (2) the development of an efficient Dantzig-Wolfe procedure for analysis of the total value-added maximization problem where both the initial and terminal states are specified; (3) the derivation of testable properties that will guarantee the attainability of a specified target state from a specified initial state of the system; (4) a formal comparison of some basic characteristics of total value growth and balanced value growth.     

Closing the Canadian Input–Output Model: Homogeneous vs Non-homogeneous Household Sector Specifications

This paper addresses, on both theoretical and empirical fronts, the task of endogenizing the household sector in a rectangular input–output (IO) model. The formulation of Miyazawa (1976) for square models is extended to the development of an impact matrix for rectangular models. This allows for the numerous household revenue sources to be built into the model. A closed model with non-homogeneous households is developed where individuals are modelled individually and by industry. The perform ance of the non-homogeneous household sector model is compared with a model that has a homogeneous household sector. The model with the non-homogeneous household sector is more sensitive to changes in wages and salaries than to changes in final demand.     

Economic Integration: Systemic Measures in an Input–Output Framework

Countries are linked through trade and for their mutual benefits they often group together. Consequently, trade blocs are formed in some form or another, examples of which are the EU, EFTA, ASEAN, NAFTA, and SAARC. Depending upon the form and the nature of the grouping, trade relations among countries obviously vary across the trade blocs. The pattern and the volume of trade of the participating countries are different and thus cause different impacts on the growth and development of the countries concerned. Also, the nature of integration changes over time. To examine the strength of integration within trade blocs, systemic measures of integration hitherto not available are formulated in an input–output framework. The measures are used, as a case study, to assess the inter-temporal variations in the degree of integration of SAARC.     

Environmental responsibility and policy in a two-country dynamic input–output model

Increased spatial dependency of economic activities, as well as spatial differentiation of production and consumption, has implications for environmental policy. One of the issues that has gained importance is the responsibility for the emissions from products that cross national boundaries during the environmental policy's lifetime. This paper discusses the different ethical views of environmental responsibility. Furthermore, the policy measures that are associated with the different viewpoints are analyzed in a novel dynamic two-country two-sector dynamic input–output model. A numerical example is modeled to assess taxing schemes that are based on these ethical viewpoints. The results show that a tax on the ‘embodied’ environmental pressure, which is generally viewed as ethically preferable, is less effective that the current policy of taxing consumers of products. Our discussion however shows that these results are very dependent on the model structure and initial parameters that are used. Nevertheless, the model illustrates that policies that are based on ethically superior standpoints may have detrimental distortionary effects in the dynamic setting.     

Coefficient Change in Embedded Econometric and Input–Output Models at the Regional Level

This paper examines the nature of coefficient change in integrated econometric (EC) and input–output (IO) models that employ an embedding strategy. Existing approaches towards coefficient change in integrated models are first reviewed and several substantive processes that give rise to dynamic coefficients at the regional level are identified. The main sources of coefficient change arise from dynamic adjustment processes that affect the regional purchase coefficients, regional technological coefficients and regional integration parameters. Each of these sources of change requires a different treatment when adopting an EC perspective. A general framework is suggested that nests each treatment as a specific case. The different specifications are then implemented in an embedded EC and IO employment demand model for the San Diego region, and evaluated through a series of in-sample and out-of-sample forecasting experiments. Simulation performance is found to improve through the use of a time-varying integra tion parameter. The results also indicate that model performance is more sensitive to the use of dynamic regional purchase coefficients than to the use of dynamic technical coefficients.     

Sectoral Rates of Profit and Productive Structure

This paper analyzes an economic system in which rates of profit are not uniform but differ from one sector to another, and discusses the acceptable intervals of variation of the rates of profit compatible with non-negative prices. The investigation is conducted in a Leontief price model with fixed capital. The limits of variation of the rates of profit are ascertained using a mathematical algorithm based on the properties of Z matrices and dominant-diagonal matrices.     

Knowledge Flows,Patent Citations and the Impact of Science on Technology

Technological innovation depends on knowledge developed by scientific research. The number of citations made in patents to the scientific literature has been suggested as an indicator of this process of transfer of knowledge from science to technology. We provide an intersectoral insight into this indicator, by breaking down patent citations into a sector-to-sector matrix of knowledge flows. We then propose a method to analyze this matrix and construct various indicators of science intensity of sectors, and the pervasiveness of knowledge flows. Our results indicate that the traditional measure of the number of citations to science literature per patent captures important aspects of intersectoral knowledge flows, but that other aspects are not captured. In particular, we show that high science intensity implies that sectors are net suppliers of knowledge in the economic sector, but that science intensity does not say much about pervasiveness of either knowledge use or knowledge supply by sectors. We argue that these results are related to the specific and specialized nature of knowledge.     

Exhaustible Resources in a Dynamic Input–Output Model with ‘Classical’ Features

This paper discusses the problem of exhaustible resources in a dynamic input–output model with ‘classical’ features. Both the quantity side and the price and distribution side are discussed. The argument is developed using the simplifying assump- tions that there is no technical progress and that no new deposits of the exhaustible resources are discovered. To avoid the ' end-of-world’ scenario, it is assumed that there is a ‘backstop technology’: this implies that exhaustible resources are useful but not necessary in the production and reproduction of commodities. A necessary and sufficient condition for the existence of paths of prices, quantities produced, and stocks of resources converging to the ultralong-period position is determined, provided that the backstop technology exhibits some appropriate properties. In addition, an algorithm to determine these paths is suggested. A numerical example illustrates the findings.     

Analysing Materials and Energy Flows in an Industrial District using an Enterprise Input–Output Model

Recent approaches to sustainable development leave much room for policies at a local level. In fact, it is becoming evident that targets such as increasing resource productivity, preserving natural cycles, or extending the present level of welfare, are best pursued within the confines of a local area. In particular, environmental changes are best brought about by considering local systems of firms as cornerstones of cooperative strategies and using data on materials and energy use in physical terms. In this paper, an enterprise input–output model is developed for an industrial district, i.e. a local group of firms specialized in the production of a single final output. The model allows for a detailed quantitative analysis of materials and energy flows and the consequent generation of waste and pollution. As a planning tool, the model may be used to evaluate alternative scenarios, such as the possibility of re- using waste taking account of sustainability requirements. An empirical case study applies the model to an industrial district in Southern Italy producing leather sofas.     

Assessing National Resource Claims and Welfare Contributions—A Search for a Rational Consensus

Macro-economic aggregates carrying the same labels in different countries (GNP, investment, defence expenditure, etc.), even when uniformly defined, are inevitably measured in different units (dollars, pounds, francs, etc.) and price systems, which makes it difficult, if not impossible, to appraise their relative size. Can we find a way to make them commensurable, in a manner that will enable us to make valid comparisons across national boundaries and economic systems, without arbitrariness or bias between one country and another? This paper suggests a possible method of doing so, based on a stylized consensus of countries making their own assessment, considering only their own welfare implications, without regard to those of their rivals or peers. These assessments are first estimated, and a consensus is then postulated based on conditions of consistency and rationality. This results in a unique set of correction coefficients for conventional prices, to be known as consensual ratings, or ‘co-ratings’ for short. The co-ratings are algebraically defined to be computable from conventional input–output tables supplemented by the import-export networks linking the various countries.     

Using Charm to Adjust for Cross-Hauling: The Case of the Province of Hubei,China

Data for the Chinese province of Hubei are used to assess the performance of Kronenberg's Cross-Hauling Adjusted Regionalization Method (CHARM), a method that takes explicit account of cross-hauling when constructing regional input–output tables. A key determinant of cross-hauling is held to be the heterogeneity of commodities, which is estimated using national data. However, contrary to the authors’ findings for Finland, CHARM does not generate reliable estimates of Hubei's sectoral exports, imports and volume of trade, although it is more successful in estimating sectoral supply multipliers. The poor simulations of regional trade are attributed to the fact that Hubei is a relatively small region, where there is a large divergence between regional and national technology and pattern of final demand. The simulation errors are decomposed into components reflecting differences between regional and national technology, final demand and heterogeneity. The third component is found to be the least important of the three sources of error.