Sectoral Energy- and Labour-Productivity Convergence

This paper empirically investigates the development of cross-country differences in energy- and labour productivity. The analysis is performed at a detailed sectoral level for 14 OECD countries, covering the period 1970–1997. A σ-convergence analysis reveals that the development over time of the cross-country variation in productivity performance differs across sectors as well as across different levels of aggregation. Both patterns of convergence as well as divergence are found. Cross-country variation of productivity levels is typically larger for energy than for labour. A β-convergence analysis provides support for the hypothesis that in most sectors lagging countries tend to catch up with technological leaders, in particular in terms of energy productivity. Moreover, the results show that convergence is conditional, meaning that productivity levels converge to country-specific steady states. Energy prices and wages are shown to positively affect energy- and labour-productivity growth, respectively. We also find evidence for the importance of economies of scale, whereas the investment share, openness and specialization play only a modest role in explaining cross-country variation in energy- and labour-productivity growth.      

Convergence in Productivity Across Industries: Some Results for New Zealand and Australia

New Zealand shares a wealth of common interests and experiences with Australia. This has tempted some to assume that these economies form an ‘Economic Club’, in which one would expect to identify common aggregate trends and growth experiences. In this paper we present results that test, and generally reject, convergence in labour productivity across Australia and New Zealand, using both aggregate and disaggregate, industry‐level data. We find that only two industries satisfy our definition of Conditional Convergence (Agriculture, Forestry and Fishing and Cultural and Recreational Services), and that the Mining and Wholesale Trade industries have particularly important roles to play in explaining the measured divergence. Cointegration‐based tests reveal more stochastic trends governing Australian productivity than in New Zealand. The evidence suggests, therefore, that the underlying growth processes of the two economies are fundamentally different, thereby questioning the relevance of aggregate comparisons between them. New evidence using industry‐level data does not, therefore, resolve the aggregate‐level ‘non‐convergence puzzle’ identified here, and elsewhere.     

Sources of aggregate labour productivity growth in Canada and the United States

Abstract.  In this paper we propose a decomposition technique to examine the sources of industrial contribution to aggregate labour productivity growth. We show that in terms of pure labour productivity growth, the manufacturing and service sectors contributed equally to the aggregate Canada‐U.S. labour productivity growth gap during the 1987–98 period. But, in terms of total industrial contributions, which also take into account the contributions from a change in relative size, the service sector was the largest contributor. We also find that high labour productivity growth industries did not attract resources from stagnant industries – a phenomenon consistent with Baumol's cost disease of stagnant industries. JEL Classification: O47, C43     

Human capital aggregation and relative wages across countries

Most of the growth accounting literature relies on an aggregate production function to determine the contribution of factors of production relative to that of total factor productivity (TFP) in explaining differences in incomes across countries. I show that the importance of TFP in accounting for cross-country income differences depends crucially on how skilled and unskilled labor are aggregated. Further, cross-country evidence on the relationship between relative wages and relative endowments of skilled and unskilled labor suggests that the two types of labor should not be aggregated into a single factor of production. Growth accounting decomposition using a commonly used nested-CES aggregate production function that allows skilled and unskilled labor to be used as separate factors of production results in a significantly greater role for TFP in accounting for income differences across countries than that found by past studies. The finding that different aggregate production functions lead to significantly different conclusions about the role of TFP in accounting for cross-country income differences calls for a more general approach to understanding such differences.     

Analysing shock transmission in a data-rich environment: a large BVAR for New Zealand

We analyse a large Bayesian Vector Autoregression (BVAR) containing almost 100 New Zealand macroeconomic time series. Methods for allowing multiple blocks of equations with block-specific Bayesian priors are described, and forecasting results show that our model compares favourably to a range of other time series models. Examining the impulse responses to a monetary policy shock and to two less conventional shocks—net migration and the climate—we highlight the usefulness of the large BVAR in analysing shock transmission.     

Changes in the International Competitiveness of Australian Manufacturing: 1968 to 1989

Disaggregated data for twenty-seven Australian manufacturing industries are used to examine movements in international price competitiveness relative to each of sixteen major trading partners over the period 1968 to 1989. The changes in price competitiveness are decomposed into elements of exchange rates, tariff rates, profit margins and unit production costs. Great diversity in outcomes is found across both industries and trading partners, with differences in the growth of labour productivity and the cost of materials most closely associated with divergence in outcomes. The results show that domestic manufacturing industries have been able to achieve improved international competitiveness, where they have outperformed comparable industries in Australia's trading partners in terms of labour productivity growth or reductions in the costs of materials.     

Finance and sources of growth: evidence from the U.S. states

How does financial development affect economic growth: through its impact on accumulation of physical and human capital or by boosting total factor productivity (TFP) growth? We use a new data set on output, inputs, and total factor productivity for the US states to study this question. Unlike previous cross-country research that tries to disentangle the channels through which financial development impacts growth, we use a plausibly exogenous measure of financial development: the timing of banking deregulation across states during the period 1970–2000. At the same time our new data set allows us to go beyond what was previously done in the state banking deregulation literature and identify whether finance impacts states’ input accumulation or TFP growth. We find, in line with existing cross-country studies, that deregulation boosts growth by accelerating both TFP growth and the accumulation of physical capital without having any impact on human capital. In contrast to the cross-country studies, we also find that the effects of deregulation are largely independent of states’ initial level of development; both rich and poor states grow faster after deregulation. Additionally, since our data set breaks down aggregate output into three sectors: agriculture, manufacturing, and the remaining industries, we are able to show that deregulation accelerates the growth of productivity in manufacturing. This last finding answers an important critique of the banking deregulation studies which asserts that observed growth effects may be coming from the growth of financial industry itself and not from the beneficial effect of finance on other industries, such as manufacturing.     

Productivity Trends in Australian and New Zealand Manufacturing

The purpose of this article is to study relative trends in total factor productivity (TFP) between the Australian and New Zealand manufacturing sectors from 1986 to 1996. Since 1984 both economies have undergone major structural changes with varying degrees of speed and intensity. We use the Malmquist index to measure TFP growth and decompose it into an efficiency change and a technical change component. This decomposition provides extra insight on assessing relative productivity trends during a period of economic reform. The results indicate the Australian manufacturing sector exhibits better rates of individual factor productivity performance while multifactor productivity is estimated to be higher in New Zealand manufacturing. TFP growth in New Zealand is driven by technical rather than efficiency change. In fact, the New Zealand manufacturing average rate of efficiency change is estimated to be negative over the sample period.     

Cross-country variation in educational attainment: structural change or within-industry skill upgrading?

Educational attainment varies greatly across countries and within countries over time. This paper asks whether the variation in education is primarily due to industry composition or to within-industry skill intensities. The main finding is that within-industry variation accounts for at least two-thirds of the cross-country and the time-series variation in educational attainment. The within-industry education gaps are broadly consistent with a model of industry neutral cross-country differences in skilled labor productivity. These results suggest that theories of educational development should focus on skill upgrading within industries rather than structural change.     

INTERNATIONAL COMPARISONS OF INTER-INDUSTRY WAGE DIFFERENTIALS

We use OECD data to examine inter-industry wage differentials (relative wages among industries) for 14 OECD countries over the period 1970–85. We find, first, that the industrial wage structures have shown remarkable stability over time in terms of rank order for all the countries in the sample. Second, despite their rank order stability, wage structures show a tendency to expand or contract. While the U.S. has shown increasing industry wage dispersion between 1970 and 1985, the pattern is very mixed for other countries. Unionization is a significant factor in explaining cross-country differences. Third, industry wage rankings show some evidence of becoming increasingly similar across nations over time, and this movement is associated with a convergence of per capita incomes. Fourth, industry wage differentials are positively related to an industry's productivity growth, output growth, capital intensity, and export orientation.     

The structural transformation and aggregate productivity in Portugal

We document the substantial process of structural transformation—the reallocation of labor between agriculture, manufacturing, and services—and aggregate productivity growth undergone by Portugal between 1956 and 1995. We assess the quantitative role of sectoral labor productivity in accounting for these processes. We calibrate a model of the structural transformation to data for the United States and use the model to gain insight into the factors driving the structural transformation and aggregate productivity growth in Portugal. The model implies that Portugal features low and roughly constant relative productivity in agriculture and services (around 22%) and a modest but growing relative productivity in manufacturing (from 44 to 110%). We find that productivity growth in manufacturing accounts for most of the reduction of the aggregate productivity gap with the United States and that a further closing of this gap can only be accomplished via improvements in the relative productivity of services. This paper was written while the authors were affiliated with the Federal Reserve Bank of Richmond. We would like to thank the editor, two anonymous referees, and participants at the Third Conference on Portuguese Economic Development in the European Context organized by the Bank of Portugal for their comments. All errors are our own.     

POST-REFORM PRODUCTIVITY PERFORMANCE AND SOURCES OF GROWTH IN CHINESE INDUSTRY: 1980–85

This paper examines the productivity growth and its sources in 39 Chinese industries in the post-reform period 1980–85. We use both the gross-output and value-added models to isolate the contributions of labor, capital, materials and technical efficiency to growth in industrial output. Using new data from the National Industrial Census of China (1988) for large and medium-size enterprises, we find that Chinese industries, in particular, those in the manufacturing experienced sharp increases in total factor productivity growth in the 1984–85 period as compared to the 1980–84 period. Moreover, collective and private enterprises show higher output and total factor productivity gains than do state enterprises. Our regression results show that total factor productivity gains are closely tied to increases in retained profits and the proportion of total employees that are technical workers. However, labor bonuses have a negative effect on total factor productivity growth.     

Do Workplace Contracts Harm Labour Productivity Growth? A Reconsideration of the Macroeconomic Evidence from New Zealand

This article reconsiders the argument advanced or endorsed by a large number of leading Australian academics and others that labour productivity growth in New Zealand fell markedly during the period in which New Zealand's Employment Contracts Act 1991 (ECA) was operative—that is, for most of the 1990s. On the one hand, based on total economy estimates developed by The Conference Board and the Groningen Growth and Development Centre, labour productivity growth was unexceptional though a little higher than the New Zealand average of the last three decades or so. On the other hand, based on newly released official estimates of New Zealand's ‘measured sector’ (which accounts for about two‐thirds of the total economy), labour productivity growth was almost identical to that of Australia during the EC A period. This in turn suggests that New Zealand's labour productivity growth rose markedly for the measured sector during the EC A years. All in all, the evidence presented in this article is inconsistent with claims that the period of the EC A was associated with relatively weak New Zealand productivity growth. Selected issues arising from these findings are briefly canvassed.     

Technology usage lags

We present evidence on the differences in the intensity with which ten major technologies are used in 185 countries across the world. We do so by calculating how many years ago these technologies were used in the U.S. with the same intensity as they are used in the countries in our sample. We denote these time lags as technology usage lags and compare them with lags in real GDP per capita. We find that (i) technology usage lags are large, often comparable to lags in real GDP per capita, (ii) usage lags are highly correlated with lags in per-capita income, and (iii) usage lags are highly correlated across technologies. The productivity differentials between the state-of-the-art technologies that we consider and the ones they replace, combined with the usage lags that we document, lead us to infer that differences in the intensity of usage of technologies might account for a large part of cross-country TFP differentials. The views expressed in this paper solely reflect those of the authors and not necessarily those of the National Bureau of Economic Research, Federal Reserve Bank of San Francisco, nor those of the Federal Reserve System as a whole. This research was completed when Emilie Rovito was an economist at the Federal Reserve Bank of New York. We appreciate the financial assistance of the NSF (Grants # SES-0517910 and SBE-738101) and the C.V. Starr Center for Applied Economics. We would like to thank Mark Bils, Hitesh Makhija, Andres Rodríguez-Clare, Romain Wacziarg, and Matt Wiswall for comments and suggestions.     

What norms trigger punishment?

Many experiments have demonstrated the power of norm enforcement—peer monitoring and punishment—to maintain, or even increase, contributions in social dilemma settings, but little is known about the underlying norms that monitors use to make punishment decisions, either within or across groups. Using a large sample of experimental data, we empirically recover the set of norms used most often by monitors and show first that the decision to punish should be modeled separately from the decision of how much to punish. Second, we show that absolute norms often fit the data better than the group average norm often assumed in related work. Third, we find that different norms seem to influence the decisions about punishing violators inside and outside one’s own group.     

How important are dual economy effects for aggregate productivity?

This paper brings together development accounting techniques and the dual economy model to address the role that factor markets have in creating variation in aggregate total factor productivity (TFP). Development accounting research has shown that much of the variation in income across countries can be attributed to differences in TFP. The dual economy model suggests that aggregate productivity is depressed by having too many factors allocated to low productivity work in agriculture. Data show large differences in marginal products of similar factors within many developing countries, offering prima facie evidence of this misallocation. Using a simple two-sector decomposition of the economy, this article estimates the role of these misallocations in accounting for the cross-country income distribution. A key contribution is the ability to bring sector-specific data on human and physical capital stocks to the analysis. Variation across countries in the degree of misallocation is shown to account for 30–40% of the variation in income per capita, and up to 80% of the variation in aggregate TFP.     

Open borders

There is a large body of evidence indicating that cross-country differences in income levels are associated with differences in productivity. If workers are much more productive in one country than in another, restrictions on immigration lead to large efficiency losses. The paper quantifies these losses, using a model in which efficiency differences are labor-augmenting, and free trade in product markets leads to factor price equalization, so that wages are equal across countries when measured in efficiency units of labor. The estimated gains from removing immigration restrictions are huge. Using a simple static model of migration costs, the estimated net gains from open borders are about the same as the gains from a growth miracle that more than doubles the income level in less-developed countries.     

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.     

Are ICT Spillovers Driving the New Economy?

Some observers have raised the possibility that production spillovers and network effects associated with information and communications technology (ICT) are an important part of the "New Economy." Across U.S. manufacturing industries, however, ICT capital appears correlated with the acceleration of average labor productivity (ALP) growth as predicted by a standard production model, but not with total factor productivity (TFP) growth as these New Economy forces imply. Once one allows for productivity differences across industries, measured TFP growth is uncorrelated with all capital inputs, including ICT capital. This provides little evidence for a New Economy story of ICT-related spillovers or network effects driving TFP growth throughout U.S. manufacturing.     

ON FINANCE AS A THEORY OF TFP,CROSS‐INDUSTRY PRODUCTIVITY DIFFERENCES,AND ECONOMIC RENTS*

We develop a theory of capital‐market imperfections to study how the ability to enforce contracts affects resource allocation across entrepreneurs of different productivities, and across industries with different needs for external financing. The theory implies that countries with a poor ability to enforce contracts are characterized by the use of inefficient technologies, low aggregate TFP, large differences in labor productivity across industries, and large employment shares in industries with low productivity. These implications are supported by the empirical evidence. The theory also suggests that entrepreneurs have a vested interest in maintaining a status quo with low enforcement.