Effects of Knowledge Spillovers on Knowledge Production and Productivity Growth in Korean Manufacturing Firms

Using Korean firm‐level data, this paper studies the effects of knowledge spillovers on knowledge production and productivity growth. Data from 213 Korean firms for the years 1985 to 2007 are used, and the number of patent applications is used as a proxy variable for knowledge. The results show that all the growth rates of output, patents, and productivity are higher in high‐technology firms. Regression results show that the spillover effect on knowledge production and productivity growth is very significant, and that the spillover effect is larger in small firms than in large firms. Moreover, spillover effects on productivity growth are larger after 1995, when Korean intellectual property rights were strengthened. Our findings suggest that the effects of knowledge spillover on productivity are positively correlated with strong intellectual property rights.     

EFFECTS OF PATENTS ON PRODUCTIVITY GROWTH IN KOREAN MANUFACTURING: A PANEL DATA ANALYSIS*

Abstract.  We analyse the contributions of patents to total factor productivity (TFP) performance in Korean manufacturing industries during the period 1981–1999. This paper treats potential autocorrelation problems seriously and uses recent panel cointegration approaches to investigate the robustness of the patent-TFP relationship. The results show that both domestic and foreign-resident patent applications have significant positive effects on productivity and that foreign-resident patent applications have a larger effect than domestic patents in improving TFP in Korean manufacturing. We also find evidence of knowledge spillovers among industries, in that the patent applications of other industries increase TFP in any single industry.     

Amenity values of spatial configurations of forest landscapes over space and time in the Southern Appalachian Highlands

This research analyzes amenity values of spatial configurations of forest landscapes over space and time in the Southern Appalachian Highlands using geographically weighted regression (GWR) in a hedonic housing-price framework with a census-block group (CBG) dataset. Results show that housing-price response to mean forest-patch size and forest-patch density increased substantially between 1990 and 2000 in a few specific areas with economically significant amenity values. The spatial and temporal dynamics of the resulting amenity-value estimates are evaluated for potential use as site-selection indicators for implementation of forest conservation programs.     

Municipal Finance in Poland,the Slovak Republic,the Czech Republic and Hungary: Institutional Framework and Recent Development

The recent process of political and economic transition in eastern European countries has not only contributed to the decentralisation of political structure but also significantly enhanced the fiscal autonomy of municipalities in these countries. In this context many similar types of public activities have recently been assigned to local governments, and some taxes were also declared to be local taxes. To be sure, this type of fiscal decentralisation has caused some additional problems, particularly for safeguarding the quality of publicly provided goods and services and for co-ordinating intergovernmental fiscal transfers between the central and local governments. For instance, some criticise that many small-sized municipalities in the transition economies have suffered from financial bottlenecks and have not been able to receive sufficient financial support from the central government. However, such a fiscal devolution trend appears to continue. This study primarily deals with issues surrounding the impact of national fiscal policy and the regulatory framework on local governments' expenditure behaviour and their ability to mobilise necessary revenues under the particular consideration of the institutional and administrative co-operation with the central government and of the less well-developed financial market in Poland, the Slovak Republic, the Czech Republic and Hungary.     

The relationship between developed equity markets and the Pacific Basin's emerging equity markets

Using a trivariate vector autoregression (VAR) model with a proper control for heteroscedasticity, this paper investigates the relationships between the two largest equity markets in the world—the U.S. and Japan—and the four Asian emerging equity markets: Hong Kong, Korea, Singapore, and Taiwan. Evidence indicates that the links between the developed markets and the Asian emerging markets (AEMs) began to increase after the stock market crash in October 1987, and have significantly intensified since the outbreak of the Asian financial crisis in July 1997.     

The linkage between the US and Korean stock markets: the case of NASDAQ, KOSDAQ, and the semiconductor stocks

This paper examines the interrelationship between stock prices in the US and Korea by applying the vector autoregression (VAR) model to the daily stock prices at three different level of aggregation – the national aggregate index level, the high-tech industry level and the semiconductor firm level – for the period of July 1996 through February 2001. The major findings of this study are as follows. First, the US stock market plays a leading role over the Korean market at every level of aggregation. The reverse direction of influence, from Korea to the US, was found to be minimal. Second, the evidence also suggests that the speed of transmission of innovation from the US to Korea is swift and finished for the most part within a 24-h period, although it takes three or four days to complete the whole process. Third, the influence of the US stock prices on Korean stock prices, which is measured by the innovation transmission using the impulse–response function (IRF) analysis, seems to be somewhat stronger in the composite national stock price indices and the tech-laden indices than high-tech firms. Fourth, at the firm level, the influence of Micron Technology on the leading semiconductor manufacturers in Korea is shown to be strong and persistent by passing about 34 percent of its innovations to the Korean firms within the three-day period. The impact of IBM and Intel on the Korean chip makers seems to be relatively smaller. Finally, stock prices in Korea, national stock price indices and individual high-tech stocks alike, have become much more responsive to innovations in the US stock prices after the 1997 financial crisis. The implications of the main findings in this paper are also discussed.     

Finite Dimensional Affine Realisations of HJM Models in Terms of Forward Rates and Yields

Finite dimensional Markovian HJM term structure models provide ideal settings for the study of term structure dynamics and interest rate derivatives where the flexibility of the HJM framework and the tractability of Markovian models coexist. Consequently, these models became the focus of a series of papers including Carverhill (1994), Ritchken and Sankarasubramanian (1995), Bhar and Chiarella (1997), Inui and Kijima (1998), de Jong and Santa-Clara (1999), Björk and Svensson (2001) and Chiarella and Kwon (2001a). However, these models usually required the introduction of a large number of state variables which, at first sight, did not appear to have clear links to the market observed quantities, and the explicit realisations of the forward rate curve in terms of the state variables were unclear. In this paper, it is shown that the forward rate curves for these models are affine functions of the state variables, and conversely that the state variables in these models can be expressed as affine functions of a finite number of forward rates or yields. This property is useful, for example, in the estimation of model parameters. The paper also provides explicit formulae for the bond prices in terms of the state variables that generalise the formulae given in Inui and Kijima (1998), and applies the framework to obtain affine representations for a number of popular interest rate models.     

Training professionals' usage and understanding of Kirkpatrick's Level 3 and Level 4 evaluations

Training professionals have long acknowledged the necessity of conducting behavior‐based (Level 3) and results‐based (Level 4) evaluations, yet organizations do not frequently conduct such evaluations. This research examined training professionals' perceptions of the utility of Level 3 and Level 4 evaluations and the factors that facilitate or obstruct their attempts to perform them. The research was conducted using Brinkerhoff's Success Case Method and Gilbert's Behavior Engineering Model as its frameworks. The three key factors identified by study participants as having an impact upon their ability to conduct Level 3 and Level 4 evaluations were the availability of resources such as time and personnel, managerial support (organizational) and expertise in evaluative methodology (individual). The research findings indicated a need to further explore how training professionals interpret Level 3 and Level 4 and how they can better develop their evaluative expertise, which in turn may increase effectiveness in gaining organizational support for evaluation efforts.     

The Effect Of Advertising Content Control On Advertising Effectiveness In The Different Forced Exposure Circumstance

With advances in new technology, various formats of online advertising (e.g., in-stream video advertising) often force e-consumers to watch the advertisement during their goal-oriented activities, and this advertising interruption often makes them feel intruded upon and irritated. To reduce such negative reactions toward involuntary advertising exposures, this study examines whether offering e-consumers the option to choose advertising content can influence ad effectiveness in different degrees of forced exposure circumstance. Using a 2 (advertising content control: customization option vs. no option) × 2 (level of forced exposure: pre-rolls vs. rich media banners) factorial experiment, the researcher noted that advertising customization features generate a greater sense of relevance and increased advertising memory, which in turn may lead to more positive attitudes toward the ad regardless of the levels of forced exposure. The findings have theoretical and practical implications on the use of involuntary advertising interruptions in the web interface.