Three Essays On Efficiency Productivity And Economic Growth

The behaviour of US productivity since this book was originally publishedin 1994, has added new relevance to the relationship between profits and productivity. In the long run, productivity growth determines the economic standard of living. This book is divided into three parts: the basis of the first is the empirical finding that, controlling for normal business cycle effects, productivity grows faster when profits have been low than otherwise. The second part discusses how to measure marginal cost using time series data and the third tests a basic assumption that productivity growth is exogenous to labour and capital.

This collection of essays on Verdoorn's Law - the relationship between the growth of industrial productivity and output - presents a number of comprehensive surveys and assessments of the vast literature available. The collection not only includes an English translation of Verdoorn's seminal article originally published in Italian, but also new empirical evidence for the Verdoorn Law and new developments in the theoretical modelling of cumulative causation.

Abstract: This dissertation investigates the relation between investment-specific technical change and long-run economic growth. The first essay points out the discrepancy between the steady state growth theorem and recent economic growth driven by information technology. Previous study finds that investment-specific technological progress accounts for 58% of economic growth in the U.S. However, their result hinges on the assumption of the Cobb-Douglas production function. This paper employs the CES production function to investigate the effect of investment-specific technological progress on long-run economic growth. In the steady state, quality improvement in each vintage is directed to expand more functions in one machine, resulting in contraction in the types of capital. The offsetting effect between quality and variety implies that the relative capital income share is constant in the steady state. Empirical tests for the U.S. data show that investment-specific technological progress does not generate long-run economic growth. The elasticity of substitution is significantly less than one, and that there is an offsetting effect to investment-specific technological progress. The second essay investigates the quality changes in capital and labor inputs across 46 industries from 1968 to 2001. We incorporate a time-varying quality measure to the efficiency units of capital. The result indicates that the average quality of capital assets over time has improved 46 percent in the cross industry average. The quality improvement effect accounts for 30 percent in the total growth of the efficiency units of capital. Although the net quantity effect is still the largest component in the growth of the efficiency units of capital, there is significant substitution among different vintages and asset types as well. The average quality growth in the efficiency units of labor is 17 percent. The third essay investigates unbalanced growth facts and their implications for existing growth theory. We find that the balanced growth implication is consistent with data for the United States at the national aggregate level, but not at a more disaggregate level and internationally. Among the various unbalanced growth facts, the increases in the depreciation rates of equipment and of aggregate capital have the most significant impact on the growth theory. Under the Cobb-Douglas framework, an increasing depreciation rate of equipment can result in rising, constant, or declining rate of return of equipment, depending on the magnitude of the decreasing net marginal product effect and the capital loss effect.

The format of this monograph is three essays, which we arrived at after spending a year writing over one hundred pages of what we even tually realized was a tedious reworking of old material. So we started over determined to write something new. At first we thought this approach might not work as a coherent mono graph, which is why we chose the essay format rather than chapters. As it turns out, there is a common thread—namely the directional distance function, which also gave us our title. As you shall see, the directional distance function includes traditional distance functions and efficiency measures as special cases providing a unifying framework for existing productivity and efficiency measures. It is also flexible enough to open up new areas in productivity and efficiency analysis such as environmen tal and aggregation issues. That we did not see this earlier is humbling; a student at a recent conference raised his hand and asked 'Why didn't you start with the directional distance function in the first place? In deed. This manuscript is intended to make up for our earlier oversights. This monograph contains papers coauthored with Wen-Fu Lee and Osman Zaim and one paper written by two former students, Hiroyuki Fukuyama and Bill Weber. We thank them for their contributions. An other former student, Jim Logan (Logi) read and critiqued the manu script for which we are grateful.