By J. -D. Lee, A. Heshmati (auth.), Prof. Jeong-Dong Lee, Prof. Almas Heshmati (eds.)

Productivity development is a key-phrase for sustainable financial progress in a knowledge-based society. there was major methodological improvement within the literature on productiveness and potency research, e.g. SFA (Stochastic Frontier research) and DEA (Data Envelopment Analysis). these kinds of methodological advancements can be matched with functions with a purpose to supply useful implications for personal and public decision-makers. This quantity presents a set of updated and new functions of productiveness and potency research. particularly, the case stories conceal quite a few monetary concerns within the Asia-Pacific zone. The authors research the functionality of producing businesses, banks, enterprise capital, broadcasting organizations, in addition to the problems of potency within the schooling region, neighborhood improvement, and safety undefined. those case reviews will make clear the aptitude contribution of productiveness and potency research to the enhancement of financial performance.

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In the 1980s, an overall increase in productivity was observed in the food product, silk/synthetic textile, electrical machinery and transport equipment industries. Most of the other industries showed a rise in productivity in early 1980s and a subsequent fall in the later half of 1980s. In the 1990s, there was an overall decline in productivity in the manufacturing industries. Productivity in the food product, cotton textile, hemp textile, wood product, leather product, rubber/plastic, non-metallic mineral product and metal products was lower in the 1990s compared to the earlier two decades.

TFP is very important for sustainability of growth. Thus, its correct assessment is essential for the formulation of economic policies. In this study, TFP was adjusted for variable factor utilization. To improve upon it, further research can be aimed at eliminating biases resulting from the presence of imperfect competition and scale economies, for which consistent and reliable estimates of the markup and the returns to scale parameter are required. 32 D. Das Appendix 1 Computation of Capital Stock Un-adjusted Capital Stock Series In the data set, Gross Fixed Assets (GFA) were available for each year for different kind of assets, namely plant and machinery, building, land, furniture and fixtures, capital work-in progress, etc.

2003) does not relate technical efficiency to any market structure factors, but give a detailed picture of the relationship between efficiency and regional factors as well as ownership structure. Çakmak and Zaim (1992) and Saygılı and Taymaz (2001) measure the change in efficiency of Turkish cement firms under the privatization practices. The former uses a non-parametric method, while the latter follows a parametric method to estimate the efficiency. However, both methods exclude market structure from the analysis.

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