Multi-modal,multi-output,multiregional variable input-output model

A multi-modal, multi-output, multiregional variable input-output (MMMVIO) model is introduced to evaluate the economic impact of a transportation system. The MMVIO model differs from the conventional input-output models by being price and cost sensitive. The regional technical coefficients, trade coefficients, modal choice of shipment, input mix and output composition are determined by the price and cost variables, a property not shared by the conventional input-output models.The transportation system reduces shipping cost of delivering commodities between regions, thereby stimulating economy of trading regions. The MMMVIO model captures the development impact incident to the transportation system.     

Prices and factor demand in an endogenized input–output model

This paper combines factor demand functions (for intermediate input and labour) and price equations (derived from a Generalized Leontief cost function) with the traditional input–output price model. The cost functions determine factor demands for materials and labour as well as output prices at given input prices. At the second level of aggregation, the intermediate demand as a single input is split proportional to the elements in the column of the technical coefficients matrix. The emphasis in this endogenization of technical coefficients is on two features. First, the repercussion of output on input prices, and, second, the link between the econometric model for the supply side and the input–output demand model.     

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.     

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.     

江苏省房地产业投入产出分析

用2002年江苏省42个产业部门的投入产出表,从投入结构、使用结构和产业波及效果角度,对江苏省的房地产业进行投入产出分析,并根据分析结果,得出江苏省房地产业的产业特点。     

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'.     

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.     

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.     

DEVELOPING A MULTI-SCALE MULTI-REGION INPUT–OUTPUT MODEL

Many efforts have recently been devoted to developing global multi-region input–output (GMRIO) models. Unfortunately, the scales of GMRIO models do not allow them to capture the heterogeneity of regions within a single country. Multi-scale models can provide more comprehensive analyses capable of capturing the interdependencies of the global economy while preserving regional differences. The primary objective of this research is to develop methods for integrating multi-region input–output data sets from multiple spatial scales into multi-scale multi-region input–output (MSMRIO) models. These methods result in models that may have unusual features such as non-square trade coefficient matrices and a mix of industry-by-industry and commodity-by-commodity technical coefficients. To demonstrate the feasibility of MSMRIO modelling, a Canada-centric model was developed. This model includes 47 countries and Canada's 13 subnational regions. A MSMRIO model provides a tool to analyse global issues with a more spatially detailed focus.     

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.     

Using a Demand System to Estimate Extended Input–Output Multipliers

The interface between household income and expenditure has always been considered to be a key component in the construction of input–output models. However, it can be argued that households are too often treated as if they were just another in dustry in the input–output table. In this paper, we seek to address this problem by developing a new modelling framework in which a micro demand system is used to estim ate the relationship between income and expenditure. This demand system is conjoined with an input–output table for the UK economy, and the system as a whole is solved as a computable general equilibrium model. Comparisons are made between the Jacobian multipliers generated by this model and those derived from a more traditional input–output model in which the income-expenditure linkage is estimated using static 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.     

How to optimize the allocation of research resources? An empirical study based on output and substitution elasticities of universities in Chinese provincial level

Although significant progress has been made in China's basic research in recent years, there remains a wide gap between research in China and that from developed countries. How to optimize the allocative efficiency of research resources is of great importance for increasing research output. In this paper, using the fixed effect stochastic frontier model based on the translog production function, we estimate output and substitution elasticities of research and development (R&D) inputs at universities in China's provincial level during 2009–2016. We find that the R&D technical efficiency of China's universities, after a rapid growth, has tended to become relatively stable. Improvements of internationalization degree and exogenous R&D capabilities are conducive to promoting R&D technical efficiency, whereas expenditures from government grants inhibit the promotion of R&D technical efficiency; the effects of R&D capital deepening and internet penetration are not evident. The output elasticity of R&D capital is much higher than that of R&D personnel, suggesting that R&D capital is the main driving force of research output. The substitution elasticity between R&D capital and personnel has experienced a change from substitution to complementary since 2014. To realize sustained growth of research output, we should increase R&D input with positive output elasticity or reduce R&D input with negative output elasticity, making the necessary trade-offs according to the substitution relationship between the two R&D inputs.     

区域R&D资源与专利产出的关系研究——以河北省为例

区域经济的发展离不开创新,离不开研究与开发活动(R&D),研究区域R&D活动的投入与产出关系,对探明区域经济的发展动力,提升区域创新能力有重要的理论和现实意义。利用计量经济学模型,以河北省R&D活动的投入与专利产出的关系为研究对象,以河北省R&D资源投入、工程师和科学家数量为投入指标,以专利为产出指标,对区域R&D资源与专利产出的关系进行定量研究,发现河北省的R&D投入产出弹性较高,专利对科研资金的产出弹性为0.43,专利对科学家和工程师的产出弹性为1.46,高于同期的全国平均水平,最后结合实际进行了原因和对策分析。     

Revisiting the decomposition of cost efficiency for non-homothetic technologies: a directional distance function approach

In the early 1980’s Kopp and Diewert proposed a popular method to decompose cost efficiency into allocative and technical efficiency for parametric functional forms based on the radial approach initiated by Farrell. We show that, relying on recently proposed homogeneity and duality results, their approach is unnecessary for self-dual homothetic production functions, while it is inconsistent in the non-homothetic case. By stressing that for homothetic technologies the radial distance function can be correctly interpreted as a technical efficiency measure, since allocative efficiency is independent of the output level and radial input reductions leave it unchanged, we contend that for non-homothetic technologies this is not the case because optimal input demands depend on the output targeted by the firm, as does the inequality between marginal rates of substitution and market prices—allocative inefficiency. We demonstrate that a correct definition of technical efficiency corresponds to the directional distance function because its flexibility ensures that allocative efficiency is kept unchanged through movements in the input production possibility set when solving technical inefficiency, and therefore the associated cost reductions can be solely—and rightly—ascribed to technical-engineering-improvements. The new methodology allowing for a consistent decomposition of cost inefficiency is illustrated resorting to simple examples of non-homothetic production functions.     

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.     

Competitive Pressure on the Indian Households: A General Equilibrium Approach

How would competitive pressure impact upon the income distribution and the poverty of household groups? We analyse the gains in efficiency and productivity due to competitive pressure, and its distributional effects using a general equilibrium input–output framework. Efficient utilization of the available resources, technical progress and free trade constitute our sources of growth. Welfare would increase under competition, but the income distribution would become more skewed. Rural household groups would stand to lose relative to the urban ones. Urban poverty would be reduced significantly more than rural. In fact, the agricultural worker would even suffer from an increase in poverty. The study shows that competitive pressure has a positive effect on efficiency, productivity and poverty, but an adverse effect on the income distribution in the Indian economy.     

Efficiency evaluation of Chinese regional industrial systems using a dynamic two-stage DEA approach

Industrial air pollution control recently becomes a major policy issue in China. Performnce evaluation can examine policy effectiveness and provide decesion support for industrial development. A regional industrial system in China contains production and abatement stages. Within this structure, the capacity of industrial waste gas treatment can be treated as a carry-over variable. More precisely, it is a desirable output of the abatement stage in the previous period but an input to the abatement stage in the current period. Using this framework, this study establishes a dynamic two-stage data envelopment analysis model to explore the efficiencies of regional industrial systems in China. This model provides measures of the overall, period, stage, and period stage efficiencies. Based on empirical data from 2007 to 2015, it is concluded that (1) the carry-over variable capacity of industrial waste gas treatment has significant influences on the operational efficiency scores of regional industrial systems, especially in the abatement stage; (2) there exist distinct geographic characteristics of inefficiencies in the regional industrial systems; (3) the average period efficiency of the abatement stage was lower than that of the production stage during China's 11th Five-Year Plan period (2006–2010); however, the reverse happens during the 12th Five-Year Plan period (2011–2015); and 4) industrial structure and economic development level are the key influencing factors of regional industrial efficiencies. This study entails important implications for policy makers in terms of industrial waste gas treatment and revelant contextual factors.     

INCOME DISTRIBUTIONS IN INPUT-OUTPUT MODELS

The analysis of income distribution (ID) has traditionally been of prime importance for economists and policy-makers. However, the standard input–output (I–O) model is not particularly well equipped for studying current issues such as the consequences of decreasing access to primary inputs or the effects of specific redistributive policies. This paper addresses this gap in the existing literature. We propose that IDs can excellently be studied by restructuring the I–O relations. A new coefficients matrix is defined, the so-called augmented input coefficients matrix. This matrix is the sum of the intermediate input coefficients matrix and newly constructed matrices of sector-specific input coefficients that represent the existing distribution of income. We show that shifts in the distribution can be modelled by attributing weights to these matrices and vary these according to system-specific rules. Numerical illustrations based on the existing literature are given throughout the paper.     

Efficiency measurement with multiple outputs and multiple inputs

This paper discusses modeling technical and allocative inefficiencies in both cost minimizing and profit maximizing frameworks with special emphasis on multiple inputs and multiple outputs. Both primal and dual models are considered for this purpose. In the primal approach we use a separable output and input function (the constant elasticity of transformation output function and Cobb-Douglas input function). The dual models assume translog cost or profit functions. Technical inefficiency is assumed to be random in the cross-sectional models, and fixed firm-specific parameter in the panel data models. Allocative inefficiencies are always treated as input-specific parameters. We derive exact relations linking technical inefficiency and allocative inefficiencies to cost and profit when the underlying technology is represented by a flexible functional form such as the translog. It is shown that appending a one-sided homoscedastic error term to model technical inefficiency, or neglecting technical inefficiency altogether in a translog profit tunciton results in model misspecification and inconsistent parameter estimates.