The Economic Impacts of Newly Irrigated Areas in the Ebro Valley

This paper uses regional input-output tables to analyse the long-term impact resulting from the implementation of the newly irrigated areas provided for under the terms of the Ebro Basin Hydrological Plan. We have described the whole process by way of two consecutive stages. In the first, where the final demand is fixed, we use a demand-driven input-output model and we incorporate technical change through the reduction of the coefficients. In the second, the output of all sectors increases, with the increases in the vector of output being proportional to the forward linkages vector of the Agriculture sector. In this stage, our objective is to obtain a final demand vector that ensures that the agricultural value added increases to a prescribed value of v 1 *. Whilst the results demonstrate the positive effects of the transformation, they also reveal effects of a very different character in each sector. Thus, the Agriculture, Livestock and Agri-food industry sectors show significant increases in their gross outputs caused by the forward effects, whilst the Energy, Metal and Chemicals sectors reduce their outputs. These results shed light on the contradictory nature of the processes of development and technical change.     

Changes in regional input-output coefficients and regional forecasting

The issue of constant regional input-output coefficients is studied in the context of regional forecasting. Under the constant coefficient assumption and given known final demand vectors, output and intermediate output prediction errors average five and 20 percent, respectively. Neither price nor product-mix adjustments improve predictions, and measurement error in base-year tables accounts for only a portion of the observed variation in coefficients. On the other hand, the interindustry structure is sensitive to short-run disturbances in the region's propensity to import. Tests further indicate that input-output forecasting is superior to a series of naive methods, but that the problem of predicting regional final demands is a relatively serious one.     

A Spatial Structural Decomposition Analysis of Chinese and Japanese Energy Demand: 1985–1990

This paper proposes a spatial structural decomposition analysis to measure the effects of the changes in intra- and inter-country linkages on the embodied energy demand in the concerned country. For the empirical analysis, we have used the China- Japan inter-country input–output tables for 1985 and 1990, expressed in constant prices of 1990. The empirical results reveal that (1) at least for the period between 1985 and 1990, the effects of the non-competitive input structural changes in China on the primary energy requirements of Japan were negligible, and (2) the contribution of the Japanese final demand shifts on the total change in Chinese primary energy demand was 40 times larger than that of the Chinese final demand shifts on the primary energy requirements of Japan. The Japanese policy makers should concentrate on the energy impacts of the changes in the domestic production structure rather than the changes in the Chinese production structure.     

Local labor market impacts of energy boom-bust-boom in Western Canada

The impacts of energy price boom and bust are analyzed through the differential growth in employment and earnings between local labor markets with and without energy resources in Western Canada. The estimated differentials attributed to the boom-induced labor demand shocks show significant direct and indirect impacts on the earnings and employment within the energy extraction and other non-energy local sectors respectively. The local job multipliers indicate that job creation within the energy extraction sector leads to modest job creation within the non-energy local sectors during boom periods. For every ten energy extraction jobs created during a boom period, approximately three construction jobs, two retail jobs, and four and a half service jobs are created.     

COEFFICIENT CHANGE,PRICE EFFECTS,AND IMPLICIT ELASTICITIES: ESTIMATING MICROECONOMIC DETERMINANTS OVER TWO TIME PERIODS

This paper presents and estimates an input–output model in which input coefficient changes are functions of changing prices. The model produces results that mirror the characteristics of input demand functions based on the model of cost minimization subject to producing a desired level of output. It does not rely on the specification of a functional form for input coefficients, and it does not require the use of assumptions regarding the elasticity of substitution. Instead, it allows the actual price and coefficient changes that occur between periods to identify the implicit elasticities and own- and cross-price derivatives. Using this model, it is shown how accurate measures of price effects, including the full array of own and cross-elasticities of demand, can be estimated for models comprising up to 15 sectors given data for only two time periods.     

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.     

Pollution-related variable input-output model: The Tulsa SMSA as a case study

Regional planners face conflicting goals of promoting regional growth and maintaining a cleaner environment since such growth usually causes polluted air. To help understand this complex relationship, pollution-related variable input-output model is developed. An interesting feature of this model is its ability to respond to both income and substitution effects. The pollution may be created not only by an increase in final demand (income effect) but also by a change in input cost (substitution effect). The conventional pollution related input-output model ([2.]) fails to capture the pollution effect associated with the substitution effect. Using the Tulsa SMSA as a case study, the operational impact of entry of a bicycle industry in the area to observe the development potential of other industries and resulting impact on air quality is simulated. Industrial impact was measured in terms of industrial output, personal income, employment, and regional import and export. The pollution impact was measured in terms of particulates, sulfur oxides, hydrocarbon, carbon monoxide, and nitrogen oxides. The simulation analysis of antipollution control measures emphasized the substitution effect of the pollution-related variable input-output model. As input cost is increased due to antipollution control measures, equilibrium prices are increased, and technical coefficients are changed as a result of substituting behavior of firms. A change in technical coefficients affects both the output and the pollutants.     

北京市生态足迹的变动与预测分析

本文将投入产出分析技术引入生态足迹模型,使用北京市历年投入产出表数据对1995年到2005年期间北京市生态足迹规模的变化、主要影响因素进行分析并做出情景预测。结果表明:北京市生态足迹的最终需求、流入量与流出量都持续增加,农业和其他服务业的生态足迹部门构成呈下降趋势,其他部门均有所提高;资源生产能力的提高,使生态足迹有减少的趋势;最终需求变化,是引起生态足迹增加的最主要的因素;在未来,北京市产业发展落实三二一的发展方针,优化产业结构和经济发展模式后,能够更好地处理经济建设与资源利用、生态环境保护的关系。提出倡导创意农业、技术创新和促进生产性服务业发展的政策建议。     

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.     

Comparative stability analysis of demand-side and supply-side input-output models

This paper presents the results of a comparison of technical coefficient stability in demand-side and supply-side input-output models using a seven-sector aggregation of the 1947, 1958, 1963, 1967, 1972, and 1977 U.S. input-output tables. Sectoral and total output forecasts of the two models, generated with known final demand and value added figures from all subsequent tables, are compared to known output figures. Although the demand-side model performs somewhat better in terms of total output forecasts, the supply-side model provides better forecasts for a larger number of sectors. This analysis suggests that both models should be used in order to determine the extent to which an economy or a sector are demand- or supply-driven.     

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.     

Environmental Accounting of Eco-innovations through Environmental Input–Output Analysis: The Case of Hydrogen and Fuel Cells Buses

The introduction of environmentally friendly innovations in both transport and energy sectors are included in the list of priorities of the European Union political agenda. This paper investigates the environmental consequences of the introduction of hydrogen and fuel cells technology in the European economic system by applying environmental input–output analysis and life cycle assessment tools. Hydrogen is produced through the reforming of natural gas and it is employed in fuel cells buses that offer transport services to final consumers. We have built three scenarios based on different assumptions on the final demand. We have shown the results for three impact categories: global warming, photochemical oxidation and acidification. The results suggest that the use of hydrogen in fuel cells buses is only environmentally desirable if accompanied either by the employment of renewable sources or by carbon dioxide capture, or both.     

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.     

The effect of population growth,the pattern of demand and of technology on the process of urbanization

A nonlinear, three-sector, two-region wage and price endogenous dynamic general equilibrium model is used to study the effects of population growth, the pattern of demand, and technological change on urbanization in the context of a low-income developing country starting at a low level of urbanization. The model represents a closed economy and is therefore more suited to a large country. It is validated on Indian data and traces its development path well from 1950 to the present. The sectors modeled are agriculture, industry, and services with the latter two being located exclusively in urban areas. The three sectors are linked with an input-output matrix which subsumes transportation costs incurred between urban and rural areas. The model is designed to investigate long-term changes, e.g., over a 30-year period, and factor mobility is therefore assumed to be “almost perfect.” The model demonstrates that rapid agricultural productivity growth, high rates of investment, and Engel demand effects combine to produce a continuing increase of urbanization as development occurs in an economy. The rate of urbanization is not necessarily dependent on high overall population growth: indeed, under certain conditions, a lowering of overall population growth might speed up the rate of urbanization. The pattern of demand and changes in the pattern can affect the rate of urbanization significantly: in particular, Engel-type demand changes serve to make the process of urbanization logistic. Technological bias effects are not very strong but effective appropriate technology policies might speed up urbanization.     

An International Comparison of Leontief Input-Output Coefficients and its Application to Structural Growth Patterns

Empirical sectoral analyses of a standard development pattern have focused upon changes in the value added, disregarding the structural changes in intermediate input. In a more comprehensive approach to the production function, the present paper analyses both sectoral intermediate inputs and the value added by using 45 input-output tables to discover a standard pattern of the changes in the input-output coefficients as an economy develops. The major findings are first a U-shape pattern of the average value added ratio and, conversely, an inverse U-shape pattern of the average intermediate input ratio. Secondly, as compared with principal input coefficients that are broadly stable, supplementary input coefficients exhibit the non-linear trends of an inverse U shape contributed by a rising trend in agriculture in the early stages, and a growing energy cost in most sectors, although this is partly offset by mild U shapes of transport and distribution costs. A similar inverse U-shape pattern is implied for the Leontief multiplier.     

India's Energy Consumption Changes during 1973/74 to 1991/92

The global energy crisis in the 1970s and early 1980s had adverse economic impacts in all oil-importing countries, including India. The objective of the present paper is to analyze energy consumption changes that have taken place in the Indian economy during 1973174 to 1983184 and 1983184 to 1991192, and the factors responsible for these changes. We develop a structural decomposition analysis in which the energy consumption changes are the result of the following six different factors: technical changes; changes in the final demand structure; changes in the interaction term of technical changes and final demand structure; changes in energy exports; changes in energy imports; changes in energy change in stock. Then, we separate the technical changes and final demand structure again, which identifies explicitly the effects of energy consumption.     

The Invisible Multipliers of Joint-products

This paper proposes a hybrid input-output model to estimate the intermediate requirements embodied in the final disposal--such as reclamation and incineration - of non-marketable scraps and wastes from industries or households. The model is based on a mixed technology assumption in order to connect the monetary distribution of the ordinary goods and services with the physical distribution of the scraps and wastes as joint-products. Moreover, some demand-pulled invisible multipliers, in terms of the scraps and wastes, have been explored by performing a numerical simulation. From the invisible multipliers, we find the paradoxical phenomenon that the reduction in the amount of final disposal and the promotion of material recycling decreases the intermediate demand of the scraps and wastes for material recycling if there is a time-lag in the introduction of the appropriate recycling technology.     

A Generalized Input-Output Multiplier Calculus for Australia

A static, generalized input-output framework for calculating simple multipliers is presented for Australian data. In this framework, capital investment and imports are internalized into domestic inter-industrial intermediate demand, non-square matrices are introduced in order to enable the inclusion of finer detail commodity data, and matrices in both monetary and physical units are employed. A range of labour and energy multipliers are calculated, referring to total output, final demand, final consumption, basic values, producers' prices, purchasers' prices, commodities and industries. Uncertainties of multipliers are assessed in detail, using Monte Carlo simulations.     

Input Coefficient Change Using Biproportional Econometric Adjustment Functions

This paper deals with the issue of updating input-output (I-O) coefficients within a large-scale disaggregated econometric macro-model of the Austrian economy. Capturing the changes in input coefficients over time is an important issue in I-O modelling due to a lack of recent benchmark I-O tables in most countries. Different approaches for updating these coefficients can be found in the literature, such as adjusting input coefficients 'along the row' and variable input coefficients 'along the column' stemming from factor input equations derived from production or cost functions. This paper combines these two approaches, yielding a biproportional method. For the adjustment, 'along the column' econometric factor input functions are used to derive a sum of non-energy intermediate inputs. For the adjustment 'along the row' the starting point is a set of adjustment functions described in the literature: special emphasis is placed on econometric specification and 'cointegration accounting'.     

Structural change and blurred sectoral boundaries: assessing the extent to which knowledge-intensive business services satisfy manufacturing final demand in Western countries

This paper focuses on the vertical integration of knowledge-intensive business services (KIBS) into manufacturing sectors, using a subsystem approach to input–output analysis. It aims at correctly assessing the process of structural change that has occurred in the four main European countries (France, Germany, Italy and the UK) over time (1995–2005). It does not focus on KIBS sectors per se, but on their function as carriers and sources of knowledge which influences the performance of sectors, value chains and clusters across industries and within countries. The analysis shows that KIBS’ contribution to satisfying the final demand of manufacturing is in general largely underestimated; that KIBS vertical integration into manufacturing has increased over time in all the countries investigated except the UK; and that the extent to which manufacturing sectors outsource to KIBS is significantly affected by their technological intensity.