Prices of Goods' and ‘Bads’: An Application of the Ricardian Theory of Differential Rent

Pollutants, wastes and scrap appear as joint products of consumption or production processes. Leontief and other authors extend input–output (IO) tables such that additional products and industries, respectively, account for pollutants and abatement activities; they also analyze the effects of pollution control policies, by means of traditional IO methods. This approach does not account for choice of technique and, therefore, neglects the possibility of substitution. This paper proposes to utilize Ricardo's theory of differential rent, which is based on the possibility of coexisting technical alternatives.     

Sources of Structural Change and Output Growth of China's Economy: 1987-92

This paper examines the sources of structural changes in output growth of China’s economy over 1987–92 using a decomposition method within the input-output (IO) framework. The model uses three comparable IO tables of 1987, 1990, and 1992 as the main data sources; it accounts for output changes from a demand side perspective and decomposes the growth of output into consumption demand, investment demand, export, import, and intermediate use (indicated by changes in IO coefficients). Special attention is given to identifying the effects of government policies on economic growth and structural change. It is found that overall output growth was multi-components driven rather than single-factor led; the share of the contribution to output growth from consumption and investment expansion declined and that from export and import increased. Whilst the efficiency of factor utilisation remains an issue of further research, a remarkable rise in IO coefficient share indicates a deepening and strong interdependence between industrial sectors over the data period. This revised version was published online in July 2006 with corrections to the Cover Date.     

The Sources of Change in Canadian Industry Output

Canadian input–output tables for 1961, 1971, 1976, and 1981 are used to apply the techniques of Feldman et al., (1987) to decompose the sources of change in Canadian industrial output. The results of the decompositions are in general agreement with the finding by Feldman et al., that, while changes in output levels may be attributed primarily to changing final demands, technical coefficient effects are relatively more important among the fastest growing and declining industries. For Canada, however, technical coefficient effects are generally more important in the declining industries, and less so for the fastest growing industries. Furthermore, technical coefficient effects have become relatively more important in a greater number of industries over time, especially among industries in which output levels have been falling. The results also suggest that the combined bridge and technical coeficient effect overstates the actual effect of shifts in the structure of industry production. When bridge coefficient effects are separated from the technical coefficient effects and included in total final demand effects, the results provide additional evidence that final demand continues to be the major source of both absolute and relative rates of output growth for the majority of Canadian industries.     

Decomposition of Structural Change into Technology and Price Components: Turkey, 1973–85

The purpose of this paper is to report on an approach to the analysis of intertemporal change in input–output tables in terms of the components of this change with time. We define two alternative forms of decomposition: additive and multiplica tive. The multiplicative form is found to have advantages over the additive form: it is not affected by the choice of price-adjusting mechanism and it enables us to define summary measures in the line of, for example, direct backward linkages. We apply the methodo logy to input–output tables for Turkey for 1973 and 1985, and compute the components of total change for 1973–85. We illustrate that, in economies where price changes across industries vary to a great extent, studying structural change first requires the removal of the relative price effects. Otherwise, misleading conclusions regarding the real or tech nological change are very likely.     

Decomposing Input–Output Tables to Establish the Effects of Temporal Changes in Demographic and Economic Characteristics

This paper reports on an analysis of economic and demographic changes in the UK during the period 1981–91, using an extended input–output (IO) formulation designed to measure impacts of such changes in economic and demographic systems. We derive a simple temporal change decomposition method and apply it to the extended IO formulation. This is then linked to a labour market account decomposition, and the conjoint decomposition applied to two labour market accounts and two IO tables for the UK. We are able to identify the impacts on the demographic and economic systems caused by changes in the economy, economic activity of the population, natural population change, migration and coefficient shifts of different types.     

The Impact of the Electric Car on the US Economy: 1998–2005

This paper presents an exercise in using the INFORUM LIFT macro-economic interindustry model of the US to analyze the industry and macro-economic impacts of structural change in the motor vehicles industry. This structural change is the result of the assumption that 3.6% of US automobiles sold will be electric vehicles by 2003, as a result of California legislation expected to be adopted by 13 states, which will take effect from 1998. In this study, alternative input–output coefficients for the motor vehicles and the automotive repair industries are derived for this mix of electric car production, and assumptions about fuel consumption and maintenance expenditures are also developed. The results of the study show that, although macro-economic effects are minimal, impacts on particular industries are significant, given the small level of market penetration assumed.     

Technical Change in the Private Consumption Converter

The analysis of technological change is centered on the study of the evolution of technical coefficients in the input–output table. Complementary to this analysis, the household consumption expenditure matrix, relating consumption by commodities to consumption by purpose or by function, also incorporates some other aspects of technological change. Thus, the evolution in time of the coefficients of this consumption expenditure matrix will portray technological processes, implying substitutions between commodities to satisfy the different functions The substitution between consumption expenditure by functions is also to be taken into consideration, because it can influence, together with technological change, the use of commodities in the final demand. For Switzerland, a 1980–89 time series of household consumption expenditure matrices with 37 commodities and 58 functional consumption categories has been estimated using data from consumer expenditure surveys. In this paper, instruments generally applied to the analysis of changes in input–output technical coefficients are extended to these matrices, including methods that deal with biproportional processes of substitution.     

A Cost Indirect Evaluation of Productivity Change in UK Universities

The study provides an empirical analysis of productivity change in publicly-funded UK universities, against a background of government policy specifically designed to enhance the productive efficiency of universities in the provision of teaching and research. The nonparametric analysis employs a cost indirect approach to measuring productivity change, taking explicit account of the quality of research output and decomposing productivity change into technical change and efficiency change. The latter is also decomposed into changes in pure technical efficiency, scale efficiency and output congestion. Changes in size efficiency are also computed. On average, productivity declined by 4% over 1989–92, mainly as a result of regressive technical change. Evidence of biased technological change was found, with the frontier shifting out in favour of the teaching outputs and in relative to the research output.     

A Multiplicative Decomposition Method to Identify the Sectoral Changes in Various Developmental Stages: Taiwan, 1966–91

This paper examines the structural changes and identifies sources of sectoral growth in Taiwan, which is an open but rapidly developing economy. A multiplicative version of a decomposition based on the Leontief input–output model is proposed. Empirical results based on deflated data using the shifting base technique show that average changes in final demand coefficients, mainly in household consumption and exports, account for a large portion of sectoral change in most industries. Extensive variations in industrial structure are detected in various developmental stages.     

Assessing Aggregate Structural Change

The aim of this paper is to investigate the evolution of Italian aggregate structural change over the years 1965–85. We use annual input–output (IO) tables in current and constant prices to derive an aggregate index of structural change. We adopt several techniques for such an explorative analysis. First, we borrow from qualitative matrix analysis and graph theory some basic concepts to assess direct and indirect links among sectors, and interrelatedness measures are derived in a straightforward way. However, qualitative analysis of indirect links may be flawed, since it can establish a path that is quantitatively negligible. Then, we turn our attention to a non-standard quantitative index derived from structural path analysis, expressed by a simple function of the input matrix determinant. Since empirical findings indicate a structural break in 1975, we derive another measure of technical change: the dominant eigenvalue. Such an index has several interesting properties but no clear relationship to the circularity process implicit in the Leontief model. Results for constant- and actual-price IO tables are discussed and compared with main macro-economic variables over the sample. Empirical findings indicate a relationship between investment, variability in final demand and aggregate structural change.     

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.     

Analyzing China's productivity growth: Evidence from manufacturing industries

This article examines the growth attributes of manufacturing industries in China for the sample period of 1999–2007. The output growth of manufacturing industries classified under four groups and four regions is decomposed into four components of input growth, scale effect, technical progress, and technical efficiency change. A stochastic frontier model is applied to the translog production function to estimate technical efficiency. Despite the conventional argument that input growth and technical progress are important factors to output growth, the empirical findings show a significant scale effect but a weak technical efficiency change. The contribution to growth from labor has been replaced by human and physical capitals. Structural transformation in the industrial sector is evident, so as regional imbalances.     

Structural Change in Apartheid-era South Africa: 1975-93

This paper examines the sources of structural changes in output growth of South Africa's economy over 1975-93 using a decomposition method within the inputoutput (IO) framework for analysing output changes from a demand side perspective. It decomposes output growth into private consumption, government consumption, investment and export components and also measures the impact of import substitution and changes in intermediate input use (as indicated by changes in IO coefficients). It is found that, before 1981, overall output growth was multi-components driven with all the above components contributing positively to economic growth. However, the collapse of investment demand is by far the single largest factor contributing to the economic stagnation that categorizes the post-1981 period.     

THE DRIVERS OF STRUCTURAL CHANGE

The main goal of this paper is to provide an integrated survey of the literature devoted to identifying the drivers of structural change, broadly defined as the process of reallocation of economic activity across the three broad sectors agriculture, manufacturing and services. Using the GGDC 10‐Sector Database, this paper first presents the empirical facts associated with structural change in different regions of the world – that is Europe and the USA, Asia, Latin America, and Africa – then reviews four determinants of structural change: (i) changes in income, (ii) changes in relative (sectoral) prices, (iii) changes in input–output linkages and (iv) changes in comparative advantage(s) via globalization and trade.     

Sources of Structural Change in Input–Output Systems: A Field of Influence Approach

The analysis of structural change with input–output (IO) tables is extended beyond the initial ideas of Chenery and Watanabe, and beyond the recent applications of Feldman et al. and Dewhurst, to embrace a more comprehensive view. With this perspective, change is decomposed into three initial components, and these components are further divided into change initiated within the sector and outside the sector. The analysis is then linked with the notion of a ‘field of influence of change’ to provide a more complete view of the way in which changes penetrate the rest of the economic system. The analytical perspectives are illustrated with applications to a three-sector set of IO tables for the US economy for the period 1948–77.     

Effective Rates of Sectoral Productivity Change

In effective rates of sectoral productivity change, some of the inputs are treated as produced. Here, this is extended to cover all the inputs. All the sectoral rates of productivity growth based on a static input–output (IO) framework are shown to be equal to the corresponding rates of decrease in the production price. For the direct rate, all the input prices are treated as exogenous constants. For the effective rates, prices of the inputs, which are treated as produced, are determined by production technology. The fully effective rate is derived from the price equations of the closed dynamic IO model. It is equal to the rate of decrease in the production price when the prices of all inputs, human capital and human time included, depend on production technology. The overall rate, obtained as a weighted sum of the fully effective sectoral rates, is equal to the rate of growth in the growth potential of the economy.     

DISAGGREGATING INPUT–OUTPUT MODELS WITH INCOMPLETE INFORMATION

Disaggregating a sector within the Leontief input–output (IO) framework is not a straightforward task since there is more than one possibility for the unknown technical coefficients of the disaggregated IO table, and more information than what is embodied in the aggregated IO table is thus required. This paper presents a methodology for disaggregating sectors into an arbitrary number of new sectors when the only available information about the newly formed sectors is their output weights. A random walk algorithm is used to explore the polytope containing the admissible combinations for the unknown technical coefficients of the disaggregated IO table. These combinations are then used to construct the probability distribution of the coefficients of the inverse Leontief matrix. The methodology is illustrated by disaggregating the electricity production sector of China's 2007 IO table and by looking at the probability distribution of the CO₂ emission intensity factors of the sectors of the economy.     

Treatment of Fixed Capital in the Sraffian Framework and in the Theory of Dynamic Input–Output Models

This paper is concerned with a comparison of the treatment of fixed capital in some multi-sectoral models. First, the dynamic Leontief model is investigated. Scrutiny shows that this model suffers from conceptual misconceptions which result from restrictive assumptions concerning full-capacity production and the transferability of capital in place, and from the definition of technical coefficients. Whereas most input–output (IO) models are based on the assumption of infinite life of fixed capital, the Sraffian concept is to treat used fixed capital items as ‘intermediate’ goods, which appear as joint products until they are worn out. To compare that approach with some IO models, an application of the concept of a ‘plant’ is provided. Finally, it is demonstrated that Leontief's model, as well as some recent generalizations, are special cases of a Sraffa-von Neumann type of model.     

Service Intensities in the Indian Economy: 1968/9–1993/4

This paper analyses the service intensities for production of different industries in the Indian economy during the period 1968–69 to 1993–94 with an input–output approach. Two different methodologies—(1) direct service intensities and (2) direct plus indirect service intensities—have been used to calculate the service intensity of different industries using six input–output tables. It is found from the exercise that service intensities have increased in the Indian economy over 25 years. To reflect the performance and trend of service intensity of each industry over the study period, the mean and coefficient of variation of the service intensities have been calculated. The empirical part of this study shows that Metal products, Machineries, Trade, and Banking have a high mean and a low coefficient of variation. According to their service intensities they were the key sectors, with consistently the largest consumption of the output of the service sector as an input for their production.     

European Technology,Trade and Income Changes for 1975–85: An Intercountry Input–Output Decomposition

This paper refines, develops and applies input–output (IO) decomposition analysis: by providing it with a unique intercountry perspective, by concentrating on explaining income growth, and by systematically separating the effects of trade structure changes from the effects of technology and preference changes. The resulting matrix formula distinguishes six components and is applied to a set of European Community (EC) intercountry IO tables for 1975 and 1985 with 25 sectors and eight EC countries. Because GDP growth is analyzed in nominal terms, macro-economic demand growth is found to be the most important component. The other five components relate to the effects of coefficient changes. Their sizes are smaller, but significant and widely different between sectors and countries, which shows that there is clear potential for effective sector policies.