A flight to Q? Firm investment and financing in Korea before and after the 1997 financial crisis

We examine investment behavior among exchange-listed Korean manufacturing firms before and after the 1997 financial crisis using firm-level panel data. Starting with the standard Q-theory of investment, we augment it by allowing for a sales accelerator and the possibility of cash constraints, categorizing firms based on their age, size and affiliation to an industrial conglomerate (i.e., chaebol). We find that Tobin’s Q is a robust determinant of investment in a pooled sample for 1992–2001, but that it became more important for small firms and less important for chaebol-affiliated firms after the crisis. Investment by chaebol firms also became more sensitive to the availability of internal cash balances after the crisis. We interpret this as reflecting a shift in the Korean economy to a stronger market orientation after the crisis and to a business climate in which the quality of potential projects became more important relative to capital market imperfections in determining the destination of investment funds.     

Technical innovation and 3.5 mobile phone generation: Lessons from Korea

In 1996, the Korean mobile communication market was the first in the world to commercialize the code division multiple access (CDMA). Since then, the voice-based mobile phone market has continued to grow and has now reached near saturation. Having recognized the potential of the mobile data service as a new source of profit, telecommunication operators are scrambling to evolve 3.5 generation (3.5G) technology in order to lead market competition. Recently, the Korean 3.5G mobile telecom market has faced stiff competition from CDMA-based EVDO Rev.A and global system for mobile telecommunications (GSM)-based high-speed downlink packet access (HSDPA). In addition, the world's first wireless LAN-based wireless broadband internet (WiBro) service was commercialized in June, 2006. This paper reviews the current status of the 3.5G technology and analyzes the service standardization strategies from the viewpoint of technological evolutions. This paper also suggests implications for Korea's specific circumstances where different mobile telecom technologies complement and compete with one another. Korea's experiences may serve as important lessons for other countries or operators who try to introduce the 3G and look beyond mobile telecom technologies.     

Recall and recognition effects of brand name imagery

The strategic marketing decision regarding the selection of a brand name has long been an area neglected by academic researchers. This study attempts to apply psychological theory to this important strategic decision area. Specifically, the applicability of a dual-coding theory of memory to brand name recall/recognition is tested in an experimental setting. Results indicate, on average, a significant one hour and two day recall/recognition advantage of high imagery over low imagery brand names across a variety of product categories.     

Focusing the fuzzy front–end in new product development

Effectively managing the 'upfront or fuzzy front–end' (FFE) of the product development process is one of the most important, difficult challenges facing innovation managers. In this paper, we define the FFE as the period between when an opportunity is first considered and when an idea is judged ready for development. We classify the outcomes of the FFE into product definition, time, and people dimensions. We suggest several strategies to manage the FFE by assigning a FFE manager or team; by providing organizational support for FFE activities; by understanding the sources of FFE ambiguity; by building an information system; and by developing relationships with supporters, partners, and alliances.     

Initial Margin Requirements, Volatility, and the Individual Investor: Insights from Japan

Initial margin requirements represent: (1) a cost impediment to the wealth constrained investor and (2) a potential way of mitigating excessive volatility. However, prior empirical research finds that margins are not an effective tool in reducing volatility. We consider the possibility that margins primarily affect certain stocks and investors. Specifically, we test whether margins affect individuals who, as a group, we believe to be the investors most affected when margin requirements change. Our initial empirical tests, however, do not support this contention.     

Public Sector Capital and the Production Efficiency of U.S. Regional Manufacturing Industries

This paper applies a stochastic frontier production model with time-varying technical efficiency to investigate the relationship between public capital and technical efficiency. It is based on the proposition that public capital has an effect on actual output by enhancing technical efficiency, thereby reducing the gap between maximum potential output and actual output. Empirical results using panel data from U.S. state manufacturing industries during 1969–86 show that technical efficiencies varied substantially, both between states and between years; variations in technical efficiency are significantly explained by variations in public-sector capital.
JEL Classification Numbers: O20, H54, C23.     

Choice Research: A Wealth of Perspectives

This article is a navigation guide to the twenty papers that emerged from the workshops conducted at the Sixth Invitational Choice Symposium (Estes Park, Colorado, June 2004). The papers are categorized into three broad sets that focus respectively on choice modeling issues, on providing interdisciplinary perspectives on choice, and on relating choice research to real world concerns. Within each category, we offer provide brief integrative overviews linking subsets of papers.     

韩国政府为实现环保型企业经营的政策及方案

文章论述了环境问题对人类的重要性及创造环保型的企业环境需要解决的问题,在此基础上,提 出了为实现环保型企业经营韩国政府所应该采用的政策及具体的实施方案。     

Artificial neural networks with feature transformation based on domain knowledge for the prediction of stock index futures

A feature transformation method based on domain knowledge for arti?cial neural networks (ANNs) is proposed. The method of feature transformation based on domain knowledge converts continuous values into discrete values in accordance with the knowledge of experts in speci?c application domains. This approach effectively ?lters data, trains the classi?er, and extracts the rules from the classi?er. In addition, it reduces the dimensionality of the feature space, which not only decreases the cost and time in the operation but also enhances the generalizability of the classi?er. The experimental results of the proposed approach will be compared and tested statistically with the results of the linear transformation method. The results show that the method of feature transformation based on domain knowledge outperforms the linear transformation in modelling of ANNs. Copyright © 2004 John Wiley & Sons, Ltd.     

Preliminary test estimators of the parameters of simple linear model with measurement error

In this paper, we discuss the properties of preliminary test estimators (PTE) of the parameters of simple linear model with measurement error (ME model) when the slope of the linear model is suspected to be zero. Expressions of the bias, MSE and efficiencies are obtained under conditional as well as unconditional situations with known reliability coefficient. Conditional model results are compared to the standard model without measurement error. We also provide the unconditional model analysis in finite samples. Asymptotic theory under local alternatives is developed when the variance of measurement error or the ratio of the variance of the model error relative to the variance of the measurement error is known. Asymptotic expressions of bias and MSE of the estimators along with their efficiencies are obtained. In every case, it is shown that the measurement error tend to increase the variability of the estimators compared to the estimators without measurement error. Graphs and tables are provided to see these results and to determine optimum level of significance for minimum guaranteed efficiency. Received October 2001 RID="*" ID="*"  A. K. Md. E. Saleh is a Distinguished Research Professor and H. M. Kim is a Ph.D. candidate in the School of Mathematics and Statistics, Carleton University, Ottawa. Acknowledgment. The authors gratefully acknowledge the constructive suggestion of the referees to improve the paper. The research is supported by NSERC grant A3088.