Sectoral and aggregate technology growth in Spain

In this paper we analyze technological change in the Spanish economy by constructing adjusted Solow residuals, where the adjustment attempts to correct for the bias associated with the potential presence of imperfect competition, increasing returns, variable input utilization and, especially, sectoral reallocation of inputs across sectors. We refer to this modified Solow residual as a technology index. Sectoral reallocations and variable input utilization are key determinants of the differences between the aggregate Solow residual and the technology index resulting from the aggregation of estimated sectoral technological growth. We show that starting in the mid nineties, there has been a deceleration in the aggregate growth rate of technology which is basically due to the behaviour of the manufacturing sectors. Finally, our results imply that aggregate technology growth is less volatile than aggregate productivity as measured by the Solow residual.     

Why the Tigers Roared: Capital Accumulation and the East Asian Miracle

Recent growth accounting studies of Hong Kong, Singapore, Taiwan and South Korea have found that the Solow residuals in these economies were relatively small. Given the high capital contributions, these results are often interpreted as evidence that factor accumulation, savings and investment were the principal cause of the East Asian miracle. This paper develops an alternative method of analysing these data, combining growth accounting methods with the linearized neoclassical growth model of Mankiw et al. (1992). The method explicitly quantifies the extent to which increases in productivity, as measured by the Solow residual, induced capital accumulation in these economies. It shows that in Hong Kong, Taiwan and South Korea, productivity growth contributed between half and two-thirds of the growth in GDP per worker over a 20-year period.     

EXPLAINING THE UNITED STATES' INDUSTRIAL GROWTH, 1860–1991: ENDOGENOUS VERSUS EXOGENOUS MODELS

This paper considers the historical record and time series properties of United States' industrial production for the period 1860 to 1991, utilizing unit root tests and measures of persistence. The results identify a segmented trend model which is used to assess the time-series simulation performance of four well-known models of economic growth: Solow (1957); Mankiw, Romer and Weil (MRW, 1992); Barro and Sala i Martin (BSM, 1992); and Rebelo (1991). Both the MRW and BSM models dominate the Solow model in accounting for twentieth century industrial growth, highlighting the importance of human capital, and the paper suggests a new measure related to higher education. However, the Rebelo model explains the post-1973 slowdown more successfully than either of the 'augmented-Solow' approaches. The paper concludes with a discussion of the impact of shocks on US industrial growth.     

Aggregate productivity and aggregate technology

Aggregate productivity and aggregate technology are meaningful but distinct concepts. We show that a slightly modified Solow productivity residual measures changes in economic welfare, even when productivity and technology differ because of distortions such as imperfect competition. Our results imply that aggregate data can be used to measure changes in welfare, even when disaggregated data are needed to measure technical change. We then present a general accounting framework that identifies several new non-technological gaps between productivity and technology, gaps reflecting imperfections and frictions in output and factor markets. Empirically, we find that these gaps are important, even though we abstract from variations in factor utilization and estimate only small average sectoral markups. The evidence suggests that the usual focus on one-sector DSGE models misses a rich class of important propagation mechanisms that are present only in multi-sector models.     

Marxism,Neoclassical Economics and the Length of the Working Day

Real business cycle models purport to explain the business cycle as the result of technological change. This paper shows that the commonly used measure of technological change, the Solow residual, does not capture changes in the technology of the production function. The model used in this paper is within the framework of models described in Hansen & Sargent (1990, 1991). Technological change is modeled as a change in the value of one of the 'deep' technology parameters in the production function. The Solow residual is incapable of capturing the effects of this sort of technological change. There is no consistent relationship between the direction and size of a technological change and the sign and size of the Solow residual. The Solow residual often moves in the wrong direction, e.g. a negative technological shock causes a positive residual. Even when the Solow residual has the right sign, its size is not consistent with the size of the technological shock, e.g. a larger positive change in technology does not necessarily cause a larger positive Solow residual.     

Are prior restrictions on factor shares appropriate in growth accounting estimations?

Several studies make different prior assumptions on the magnitude of factor shares and scale of production when accounting for economic growth. The initial Solow estimations for instance assumed a capital share of 0.3 and constant returns to scale. Most authors have subsequently used the same restrictions just because they were used in previous studies even when production in the countries under study may not necessarily be taking place under constant returns to scale and capital share may be a value not any close to 0.3. This is likely to distort growth accounting estimation results. This study investigates whether these prior restrictions on factor shares and scale of production as commonly used in the literature are appropriate and whether the Solow assumptions are likely biased even in developed countries. Using Kenyan data and structural vector autoregressions, the main findings are; first, in all cases of the unrestricted estimations, the share of physical capital is less than 0.16. An estimation which imposes 0.3 as the share of physical capital in this case would therefore not be in line with the data generating process leading to biased results. Secondly, in all cases, the explanatory power of the model decreases when the restrictions are imposed implying that the restrictions are not appropriate in growth accounting exercises. The paper further disputes the “styled fact” in growth studies that the Solow assumptions may be relevant for developed countries but not developing countries and concludes that the Solow assumptions may be biased even in developed countries.     

Tests of the “convergence hypothesis”: Some further results

The article presents new tests of the convergence hypothesis. It first analyzes the unconditional pattern of growth of human and physical capital (conventionally measured by an inventory method) and shows that these tests do support the hypothesis that domestic inputs of poor countries appear to be catching up with those of rich countries. On the other hand, when one analyzes the pattern of growth of physical capital and Solow residual, then one is led to reject the convergence theory. Building on this discrepancy, I demonstrate that the poor countries have failed to catch up with rich ones because the progress that they have achieved in educating their workers (which is evidenced in the convergence of domestic inputs) is not sufficient to compensate for their poor endowment in the knowledge on which the education of workers stands.     

Great Depressions of the 20th Century

The papers in this issue study nine depressions—both from the interwar period in Europe and North America and from more recent times in Japan and Latin America—using a common framework. All of the papers rely on growth accounting to decompose changes in output into the portions due to changes in factor inputs and the portion due to the changes in efficiency with which these factors are used. All of the papers employ simple applied dynamic general equilibrium models. Collectively, these papers indicate that government policies that affect productivity and hours per working-age person are the crucial determinants of the great depressions of the 20th century. Journal of Economic Literature Classification Numbers: E32, N10, O40.     

PUBLIC CAPITAL, PRODUCTIVE EFFICIENCY AND CONVERGENCE IN THE SPANISH REGIONS (1964–93)

This paper analyses the behaviour of productive efficiency in the Spanish regions for the period 1964–93. From a growth accounting approach, it describes the regional evolution of total factor productivity (TFP'), based on a private inputs production function. A stricter measure of efficiency is then quantified, which is not equivalent to Solow's residual, since public capital is included in the production function and constant returns to scale are not imposed. Finally, on the basis of the measures of total factor productivity and efficiency, the study discusses the existence of technological convergence among Spanish regions and the role played in it by public capital. The renewed interest in the analysis of the process of growth reflected in economic literature in recent years has also occurred in the case of the Spanish economy, with some peculiarities which are worth mentioning. In the 1980s, two important institutional changes took place: a profound political and administrative decentralization, the regions now being autonomous in many decisions on public expenditure, and the incorporation of Spain into the European Community, which as it is well known has a powerful regional policy. Both changes have meant that the analysis of regional economies, and especially their growth paths, have received much more attention from politicians and economists, and even from the population in general. In particular, intense discussion has taken place regarding the effects of development policies and on criteria for geographical distribution of infrastructures. In both cases, much attention has been paid to discussing their capacity to contribute to convergence among the different regions. As a consequence of this greater interest in the analysis of growth from a regional perspective, efforts have also been made to improve the relevant statistical information. In particular, statistical series have been drawn up for investment and accumulated capital stock in each region, both private and public.' This information, only recently available and the first of its kind, as far as we know, in the European regions, substantially broadens the possibilities of research into the Spanish case in this field, where before not even the simplest exercises in growth accounting could be attempted. Further-more, since the series now available allow the time dimension of growth analysis to be combined with the regional dimension, it is possible to work with a panel of data and apply the corresponding techniques. This article analyses the growth of the Spanish economy over the period 1964–93, during which it can be observed that the per capita income levels of the Spanish regions converged. The objective of the study is to evaluate this process of convergence in income from the perspective of the productive efficiency of the regions, in three different ways. First, Section I considers the importance of the contributions of the private factors of production and of improvements in total factor productivity to the growth of output. Secondly, section II studies the existing relationship between the standard measure of efficiency (Solow's residual or TFP') and a stricter measure when the endowments of public capital are considered. Section III analyses whether or not the convergence in per capita income     

中国全要素生产率的顺周期特征与决定因素:1952—2007

笔者通过对1952年～2007年中国经济统计数据的回归分析,采用索罗残差法计算了中国经济的全要素生产率及其增长率,并对我国全要素生产率增长率及其决定因素做了简要分析.结果发现,我国全要素生产率总体上是递增的,但波动剧烈且呈现顺周期的特征.进一步研究显示,劳动储备和技术冲击是中国全要素生产率顺周期的主要原因.