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M.Ed. (Educational Management) / Please refer to full text to view abstract

M.Com. (Business Management) / A high level of productivity is of utmost importance to any nation seeking economical growth and stability. However, South Africa has fallen behind its most important trading partners regarding levels of productivity. This decline in productivity started during the late 1960's and has resulted in a subsequent decline in competitiveness. Even more alarming is the fact that some third world countries have overtaken South Africa regarding productivity, and are currently maintaining economical growth rates in excess of five percent per annum. Another trend of modern times is the rapid growth in the number of white-collar workers (including knowledge workers). This rise of the knowledge worker is a result of the swing towards technology- and service organizations. It is thus clear that. the importance of knowledge worker productivity cannot be underestimated. There are however a number of problems regarding the management and improvement of knowledge worker productivity. Most of these problems have their origin in the unique characteristics of knowledge work. The aim of this study is thus to investigate the problems regarding the measurement of knowledge work, methods of improving productivity in general as well as improving knowledge worker productivity specifically, and finally to develop a guideline for the management and improvement of knowledge worker productivity. The study begins with a thorough literature study regarding productivity, knowledge workers and productivity improvement techniques. Following this is an empirical study to investigate certain specific factors which influence productivity. Finally a conclusion is made, resulting in a guideline for the management and improvement of knowledge worker productivity.

Angie Leung Mei Yin. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1999. / Includes bibliographical references (leaves 82-85). / Abstracts in English and Chinese. / Abstract --- p.i / Acknowledgements --- p.iii / Table of Contents --- p.iv / List of Tables --- p.vi / List of Figures --- p.ix / Chapter 1. --- Introduction --- p.1 / Chapter 2. --- Methodology and Data --- p.7 / Chapter 2.1 --- Measurement Framework --- p.7 / Chapter 2.2 --- β- Convergence --- p.12 / Chapter 2.3 --- σ - Convergence --- p.18 / Chapter 2.4 --- Data Description --- p.19 / Chapter 3. --- Results --- p.20 / Chapter 3.1 --- Convergence Results among Asian Countries --- p.20 / Chapter 3.2 --- Convergence Results Using Average Labor Sharein All Countries --- p.25 / Chapter 3.3 --- Results under σ - Convergence --- p.27 / Chapter 4. --- Determinants for Average Productivity Growth Rate --- p.33 / Chapter 5. --- Conclusion --- p.37 / Tables --- p.38 / Figures --- p.54 / Appendix --- p.76 / References --- p.82

Digitized by Kansas Correctional Industries

The thesis consists of three essays on urban economies. The first essay investigates the relationship between proximity to larger markets and wage distribution within local labor markets. In this essay I derive a theoretical spatial skill demand equation that positively links skill premiums to market access. Using data from U.S. metropolitan areas, I provide evidence that while average wages are higher in metropolitan areas with higher market access, as suggested in the existing literature, the wage differential is unequally distributed across the metropolitan workers. That is, greater access to markets is linked to relatively weaker outcomes for those at the bottom of the wage distribution.<p> The second essay examines the extent of urban sprawl with respect to the volatility of local economies. Specifically, it investigates how uncertainty over future land rents explains changes in the extent of urban sprawl. To theoretically study this relationship, I develop a theoretical model that links sprawl to shocks to changes in land development rent, among other factors. The econometric analysis draws upon panel data from U.S. metropolitan areas over the 1980-2000 censuses. To measure urban sprawl, I construct a distinctive measure that better captures the distribution of population density within metropolitan areas. Using suitable proxy that accounts for uncertainty over future land rents, I provide robust evidence confirming the theoretical prediction. That is, metropolitan areas with higher levels of uncertainty have a lower level of sprawl.<p> Finally, the third essay uses theories from urban production economics to empirically investigate the relationship between the economic performance of U.S. metropolitan areas and their respective amounts of sprawl. Specifically, this essay provides a comprehensive empirical analysis on the impact of urban sprawl on labor productivity. The main finding suggests that higher levels of urban sprawl are negatively associated with average labor productivity. Interestingly, this negative association is even stronger in smaller metropolitan areas. Still, there is evidence that the significance of the negative impact of sprawl is not homogenous across major industries.

The thesis consists of three essays on urban economies. The first essay investigates the relationship between proximity to larger markets and wage distribution within local labor markets. In this essay I derive a theoretical spatial skill demand equation that positively links skill premiums to market access. Using data from U.S. metropolitan areas, I provide evidence that while average wages are higher in metropolitan areas with higher market access, as suggested in the existing literature, the wage differential is unequally distributed across the metropolitan workers. That is, greater access to markets is linked to relatively weaker outcomes for those at the bottom of the wage distribution.<p> The second essay examines the extent of urban sprawl with respect to the volatility of local economies. Specifically, it investigates how uncertainty over future land rents explains changes in the extent of urban sprawl. To theoretically study this relationship, I develop a theoretical model that links sprawl to shocks to changes in land development rent, among other factors. The econometric analysis draws upon panel data from U.S. metropolitan areas over the 1980-2000 censuses. To measure urban sprawl, I construct a distinctive measure that better captures the distribution of population density within metropolitan areas. Using suitable proxy that accounts for uncertainty over future land rents, I provide robust evidence confirming the theoretical prediction. That is, metropolitan areas with higher levels of uncertainty have a lower level of sprawl.<p> Finally, the third essay uses theories from urban production economics to empirically investigate the relationship between the economic performance of U.S. metropolitan areas and their respective amounts of sprawl. Specifically, this essay provides a comprehensive empirical analysis on the impact of urban sprawl on labor productivity. The main finding suggests that higher levels of urban sprawl are negatively associated with average labor productivity. Interestingly, this negative association is even stronger in smaller metropolitan areas. Still, there is evidence that the significance of the negative impact of sprawl is not homogenous across major industries.