THE SOURCES OF AGGREGATE PRODUCTIVITY GROWTH: US MANUFACTURING INDUSTRIES, 1958–1996

The sources of aggregate productivity growth are explored using detailed data for four‐digit US manufacturing industries during 1958–96 and a decomposition formula that allows us to quantify the contribution of structural change. Labour productivity as well as total factor productivity are considered with either value‐added or employment shares serving as aggregation weights. It is shown that structural change generally works in favour of industries with increasing productivity. This effect is particularly strong in the years since 1990, in high‐tech industries and in durable goods producing industries. The impact of the computer revolution can be clearly identified.     

Environmental Taxation and Induced Structural Change in an Open Economy: The Role of Market Structure

Abstract. Studies of structural change induced by environmental taxation usually proceed in a perfect-competition framework and typically find structural change to be quite moderate under realistic emission reduction scenarios. By observing that some of the industries affected are likely to operate under imperfect rather than perfect competition, additional mechanisms emerge which may amplify structural change beyond the extent identified as yet. Especially, changes in economies of scale may arise which weaken or strengthen the competitive position of industries over and above the initial cost effect. Using a computable general equilibrium model for Germany to examine the effects of a unilaterally introduced carbon tax, we find that induced structural change is more pronounced under imperfect competition than under perfect competition. At the macroeconomic level, we find that aggregate losses in economies of scale are larger than aggregate gains, implying that the total costs of environmental regulation are higher under imperfect competition than under perfect competition.     

The effect of structural change on the self-reliance and interdependence of aggregate sectors: the case of Spain, 1980–1994

The objective of this paper is to analyse structural and technological change in the Spanish economy between 1980 and 1994 using the input–output tables of 1980, 1986, 1990 and 1994. First we obtain and compare four linkage components throughout the period for each of the nine aggregate sectors in which the industries are grouped. Second, using Structural Decomposition Analysis, we obtain a technological effect and a demand effect for each of the previous components. These pressures show that the process of the technological modernisation of the Spanish economy is strongly linked to the growth of the high- and medium-technology industries and the service industries, and the different contribution of these industries to the improvement of productivity. On the one hand, the technology industries increase productivity by using better technologies. On the other hand, the service industries do not raise it significantly and even reduce it by increasing their unit costs.     

Structural Change,Expanding Informality and Labor Productivity Growth in Russia

Strong growth, intensive structural change, and expanding informality have characterized many developing and emerging economies in recent decades. Yet most empirical investigations into the relationship between structural change and productivity growth overlook informality. This paper includes the informal sector in an analysis of the effects of structural changes in the Russian economy on aggregate labor productivity growth. Using a newly developed dataset for 34 industries covering the period 1995–2012 and applying three alternative approaches, aggregate labor productivity growth is decomposed into intra-industry and inter-industry contributions. All three approaches show that the overall contribution of structural change is growth enhancing, significant, and decreasing over time. Labor reallocation from the formal sector to the informal sector tends to reduce growth through the extension of informal activities with low productivity levels. Sectoral labor reallocation effects are found to be highly sensitive to the methods applied.     

Stages of diversification in a neoclassical world

Recent research has documented a U-shaped industrial concentration curve over an economy’s development path. How far can neoclassical trade theory take us in explaining this pattern? We estimate the production side of the Heckscher–Ohlin model using industry data on 44 developed and developing countries for the period 1976–2000. Decomposing the implied changes in industrial concentration over time shows that at least one third of these changes seems to be explained by a Rybczynski effect. This result suggests that capital accumulation led poor countries to diversify their industrial production, while rich countries made their production more concentrated in highly capital-intensive industries.     

Explaining the declining energy intensity of the U.S. economy

This paper reconciles conflicting explanations for the decline in U.S. energy intensity over the last 40 years of the 20th century. Decomposing changes in the energy–GDP ratio into shifts in the structure of sectoral composition and adjustments in the efficiency of energy use within individual industries reveals that while inter-industry structural change was the principal driver of the observed decline in aggregate energy intensity, intra-industry efficiency improvements played a more important role in the post-1980 period. Econometric results attribute this phenomenon to adjustments in quasi-fixed inputs—particularly vehicle stocks, and disembodied autonomous technological progress, and show that price-induced substitution of variable inputs generated transitory energy savings, while innovation induced by energy prices had only a minor impact.     

The causes of unemployment in France: a flow approach

A flow model is used to identify the causes for rising unemployment in France between 1978 and 1990. Two flow equations are estimated as functions of exogenous factors such as aggregate demand, factor costs, structural shifts and long-term factors and then used in simulations for the level of unemployment. It is shown that the main reason for high unemployment in France is a slow down in the demand for labour due to high labour and energy costs in the early 1980s and to tight aggregate demand over the whole period.Change in the labour supply have had an increasing impact in recent years.     

Structural transformation in Egypt,Morocco and Tunisia: Patterns,drivers and constraints

This study analyses structural transformation in three Middle East and North Africa (MENA) countries: Tunisia, Morocco and Egypt over a large time period (1960–2010). We examine labour productivity evolution and structural change contribution to productivity growth over different sub‐periods. We analyze the contribution of different economic sectors to aggregate structural change in the three countries. An econometric analysis is also performed to identify the main factors underlying the intensity and the pattern of structural change. Results suggest that the three countries initiated and achieved some progress in structural transformation over the 1970s, 1980s and early 1990s. However, this process has stagnated at low‐income levels and has remained unfinished. Deindustrialization occurred at an early stage of development in the three countries, in contrast to that noticed in developed and emergent countries. The results of the econometric analysis suggest a significant and positive association between investment and structural change as capital accumulation increases the future productive capacity and triggers reallocative efficiency. The human capital quality and availability has a positive and significant impact on structural change. Trade openness is also expected to boost structural transformations. However, labour market rigidity hampers structural transformation.     

Why do Aggregate Production Functions Work? Fisher’s simulations,Shaikh’s identity and some new results

The literature on aggregation has shown that the conditions for successful aggregation of micro production functions into an aggregate production function are far too stringent to be believable (Fisher 1969, 1971). Despite this, aggregate production functions continue being used. The reason is that they seem to 'work'. This happens, however, because underlying every aggregate production function is the income accounting identity that links input and output, i.e. output equals wages plus profits. A simple algebraic transformation of this identity yields a form that resembles a production function (Shaikh, 1974, 1980). This paper uses Monte Carlo simulations to study two questions. First, how much spuriousness can help explain the relatively good fits of the Cobb-Douglas production function? The simulations show that the contribution of spuriousness to a high R 2 is minor once we properly account for the fact that input and output data used in production function estimations are linked through the income accounting identity. It is mostly the link through this identity that explains the results. Secondly, we study how much factor shares have to vary in an economy so as to render the Cobb-Douglas production function with a time trend a bad choice for modelling and estimation purposes. We conclude that the Cobb-Douglas form is robust to relatively large variations in the factor shares. What makes this form often fail are the variations in the growth rates of the wage and profit rates.     

Tests of a model of production for the Federal Republic of Germany, 1950–1973

The objective of this paper is to present tests of the theory of production for aggregate time series data from the Federal Republic of Germany for the period 1950–1973. For this purpose we implement two alternative econometric models, based on translog representations of production and price functions. Our test results are consistent with the theory of production and imply that this theory can be employed as an appropriate starting point for construction of a macro-economic model of Germany.     

ECONOMIC PERFORMANCE AND PUBLIC INFRASTRUCTURE: AN APPLICATION TO GREEK MANUFACTURING

To comprehend the impact of public infrastructure on economic performance this paper provides a measure of productivity growth as derived from duality theory. This productivity growth is decomposed into the components of technical change, returns to scale and the effects of public infrastructure, the variable of our interest. In an application, we opt for Greek manufacturing so as to investigate whether the decline in its growth rate is partly explained by public infrastructure. Despite some variation in the estimation results of shadow shares across industries, public infrastructure asserts a cost saving effect in most industries, though it also appears that traditional labour‐intensive industries with lower level of technological advancement do not benefit from the provision of public infrastructure. The estimation results further demonstrate that while public infrastructure enhanced productivity growth over the sample period for most industries, low infrastructure investment in the 1970s and the 1980s undermined productivity growth.     

Trade balance dynamics and exchange rates: In search of the J‐curve using a structural gravity approach

This paper uses a structural gravity approach, specifying currency movements as trade cost component to derive an empirical trade balance model, which incorporates multilateral resistance terms and accounts for the cross‐country variation in the exchange rate pass‐through into import and export prices. The model is estimated using quarterly bilateral trade flows between 47 countries over the period 2010Q1 to 2017Q2, disaggregated into 97 commodity groups. Our results support the existence of an “aggregate” J‐curve, pooled over commodity groups; at the same time they point to considerable heterogeneity in the trade balance dynamics across industries below the surface of aggregate data.     

Constrained output maximization and US agriculture

This paper presents a framework for estimating an indirect production function and then applies it to aggregate US agriculture. Issues addressed include tests of standard hypotheses about the underlying technology (homotheticity, neutral technical change, etc.) as well as examination of consistency in aggregation and the effects of changes in the level of aggregate expenditure on farm output. Since there already exist several studies empirically describing agricultural production technologies with indirect objective functions, one might fairly ask whether this paper really breaks any new ground? We feel that it does. One reason is that existing studies (e.g. Binswanger, 1974; Lopez, 1980; Ball and Chambers, 1982; Ray, 1982; and Weaver, 1983) all rely on either profit or cost functions. To date there appears to be only one study using an indirect production (Appelbaum, 1979), and it is not in agriculture. This seems unfortunate because there are many instances in agriculture for which an indirect production function (or revenue function approach) seems more appropriate. The reason why relates directly to one's belief about the objective function and constraints farmers face. Ultimately, it seems plausible in a certainty framework that producers maximize profits. And since cost minimization and output maximization are just constrained versions of profit maximization, both cost and indirect production functions are more appropriately viewed as restricted profit functions. What differs is the constraint. Assuming cost minimization implies that farmers are constrained by a fixed output which they must produce; in most instances, this is implausible. More likely, the level of output is itself a choice variable. Output maximization, on the other hand, suggests that the main constraint is the amount of money that producers can muster to hire resources. In other words, farmers may face binding constraints in obtaining the profit maximizing level on expenditure on input utilization. One might think that expenditure may not be a binding constraint because there exists a relatively active US credit market. However, the US credit market is far from being perfectly competitive in a stylized sense, and thus, the possibility of a farmer being able to finance a given level of expenditure may be limited.

Readers familiar with the dual approach to production problems may already be asking why these ideas rule out cost functions since it is well known that the cost function is the distance function of the indirect production function (Blackorby et al., 1978)? In principle, therefore, one could always estimate a cost function and then invert it to obtain the indirect production function. There are two problems with this approach: the first is that if output maximization is truly the objective, output is not predetermined and cannot be treated as exogenous in cost function estimation. Second, estimation of direct and indirect functions using the same data set does not always yield comparable results. Estimation of a transcendental logarithmic (translog) indirect production function and a translog cost function, separately, does not generally yield identical estimates of the Allen elasticities of substitutions. Solving the first problem in simple, but the second suggests that estimation should proceed on the basis of the objective function the researcher deems most appropriate. Therefore, if output maximization is more plausible than cost minimization an indirect production function should be used.

The plan of the paper is as follows. We first outline the theoretical developments necessary to our approach (included are conditions necessary for consistent aggregation over firms). We then present estimates of an indirect production function and use these estimates to investigate the plausibility of various restrictions on the technology, consistency in aggregation, substitution possibilities in agricultural production, and the effect of expenditure on agricultural input utilization. The paper closes with a discussion of the results and suggestions for future research.     

Falling Wage Shares in Europe and the United States: How Important is Aggregation Bias?

This paper sheds light on the importance of aggregation bias in the analysis of wage shares developments over time and across countries. We focus on five European countries and the United States and show that the trend decline in the aggregate wage share observed in these countries over much of the 1980s and 1990s partly reflects changes in the sectoral composition of the economy. The application of a fixed-weight aggregation method changes the profile of the observed wage share in a significant way: in particular there is no longer sign of an overshooting of the wage share levels of the early-1970s. Error-correction wage equations based on the adjusted wage shares generally have a better regression fit and show long-run elasticities of real wages to unemployment that vary less across countries and are substantially lower than those obtained with observed shares.     

Patterns of Productivity Growth and the Wage Cycle in Turkish Manufacturing

In this paper we investigate the distributional consequences of the post-1980 accumulation patterns and technological change in the Turkish manufacturing industries. We utilise two quantitative techniques. First, we make use of the Hodrick-Prescott filter to disintegrate the cyclical variations in productivity growth and wage rates from their respective historical trends, and study the evolution of the wage cycle against the long term productivity patterns in the sector. Next, we decompose the fundamental characteristics of the contributions of productivity growth of the manufacturing sub-sectors to the overall total. Our results suggest very little structural change in the sectoral composition and nature of productivity advances under the post-1980 structural adjustment reforms and outward-orientation, and underscore that the gains in productivity in this period did not materialise as gains in remunerations of wage labour. Contrary to the prognostications of the orthodox theory, the post-1980 export orientation of Turkish manufacturing was not found to lend itself to productivity contributions, and could not be sustained as a viable strategy of 'export-led industrialisation'.     

INDUSTRIAL AND AGGREGATE MEASURES OF PRODUCTIVITY GROWTH IN CHINA, 1982–2000

We estimate productivity growth for 33 industries covering the entire Chinese economy using a time series of input–output tables covering 1982–2000. Capital input is measured using detailed investment data by asset and labor input uses demographic information from household surveys. We find a wide range of productivity performance at the industry level. We then show how these industry growth accounts may be consistently aggregated to deliver a decomposition of aggregate GDP growth. For the 1982–2000 period aggregate TFP growth was 2.5 percent per year; decelerating from a rapid rate in the early 1980s to negative growth during 1994–2000. The main source of growth during the 1982–2000 period was capital accumulation, with a small negative contribution from the reallocation of factors across industries.     

Financial reform and the efficiency of credit allocation in Korea

This study analyzes some of the structural problems associated with the Korean financial sector, and investigates the efficiency of credit allocation by the financial system over the period from 1970 to 1996. Using data at the level of 32 industrial branches, we find no evidence that credit flows were directed sectors that were more profitable, either before or after financial reforms were initiated in the 1980s. We also find that the financial support did not contribute to improve the performance of the favored industries over time.     

Detecting self-organisational change in economic processes exhibiting logistic growth

This paper offers an econometric methodology for the detection of self-organisational change (defined in terms of the presence of time irreversibility, structural change and fundamental uncertainty) in economic processes that follow logistic diffusion growth paths in historical time. The approach we adopted is built upon recent developments in `moving window' spectral methods which are applied to the scaled residuals generated by estimated logistic diffusion models. We illustrate the use of such methods by examining the case of a financial instrument, namely, the Australian Building Society Deposit, which experienced logistic growth in its market share until bank deregulation was enacted in the 1980s. We show that there is clear evidence that self-organisational change is present over the historical period considered.     

A Production Analysis of the Manufacturing Industries in Iran

This article is concerned with the estimation of production functions, returns to scale, and measurement of the rate of technical change using panel data. Technical change is represented by single as well as multiple time trends. The underlying production technology is represented in translog functional form. A random effects model with heteroscedastic variances is used. The models are estimated using the generalized least squares method. The disturbances of cross-sectional units are assumed to be correlated over time. Empirically, our focus is on measuring technical change in Iranian manufacturing industries during the period 1971–1993. Empirical results show that single or multiple time trend representations yield different time behavior of technical change. In the multiple time trends model, we observe a sharp decline in the pattern of technical change in 1978 in relation to the political changes. In the single time trend, as expected, the sharp decline cannot be revealed due to the smooth pattern of technical progress during the entire period of study.     

Does growth cause structural change, or is it the other way around? A dynamic panel data analysis for seven OECD countries

In economic development, aggregate economic growth is accompanied by structural change among the three main sectors of an economy. Nevertheless, the question whether economic growth causes structural change, or changes in the economic structure cause aggregate growth is still unanswered. To shed more light on this question, this article examines a Granger causality test in a panel environment to determine the relationship of economic growth and structural change, measured either in terms of employment shares or real value added shares. Estimation and analysis of the annual data of seven OECD countries, covering the period from 1960?C2004, show that although the causality appears to be heterogeneous among these countries, some general conclusions can be drawn. Aggregate economic growth decelerates structural change in the very short run but accelerates it with some lag in time. The aggregate effect depends on whether structural change is measured in terms of employment or in terms of real value added. Conversely, structural change supports aggregate economic growth, irrespective of which measure of structural change chosen.