• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.10
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• pp.4784-4790
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• 2013

As with fast growing globalization, Korean firms have increased their offshoring activities and more empirical research are needed to analyze the effect of offshoring on Korean firms' productivity. This study used "Survey of Business Activities", a firm-level panel data set surveyed by the Statistics Korea between 2006 and 2008, and estimated pooled OLS and Panel fixed effect model to examine the impact of offshoring on a firm's labor productivity. Unlike the previous studies on offshoring, we included in the analyses the firms in the service industry in addition to those in the manufacturing industry, and presented the comparative results. The results from pooled OLS model show that 1% increase in the share of offshoring output will lead to 0.03% increase in labor productivity. However, the results from Panel model show that the effects of offshoring on productivity is positive but statistically insignificant. Analyzing the manufacturing and the service sector separately, the main results based on Panel model can be summarized as follows: Offshoring has significant positive effects on firms' productivity in the manufacturing industry. Contrastingly, the impact of offshoring on firms' productivity in the service industry is estimated to be negative but statistically insignificant. Other than the share of offshoring output, most factors except headquarter location have positive effects on firms' productivity in both manufacturing and service industry.

• Journal of Technology Innovation
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• v.13 no.2
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• pp.207-222
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• 2005

A prerequisite for making R&D more productive is to able to measure its productivity. Most of the previous studies on this topic have attempted to measure R&D productivity at the firm or industry levels. In this study, however, R&D productivity is measured at the national level to provide R&D policy implications, particularly for Asian countries. Contrary to the previous studies where total factor productivity was adopted, this study employs the data envelopment analysis (DEA) approach to measure R&D productivity. DEA is a multi-factor productivity analysis model for measuring the relative efficiency of each Decision Making Unit (DMU). In addition to the basic DEA model that includes all inputs and outputs, five additional models are constructed by combining single input with all outputs and single output with all inputs in order to measure specialized R&D efficiency. In this study, the twenty-seven countries are classified into four clusters based on the output-specialized R&D efficiency: inventors, merchandisers, academicians, and duds. Then, the characteristics of the Asian countries with respect to R&D efficiency are identified. It is found that Singapore ranks high in total efficiency, and Japan in patent-oriented efficiency. Meanwhile, China, Korea, and Taiwan are found to be relatively inefficient in R&D. We expect that the findings from this study will be able to provide directions for R&D policy-making of the Asian countries.

• Agribusiness and Information Management
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• v.7 no.2
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• pp.12-18
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• 2015

Since 2000s, proper utilization of IoT (Internet of Things) technology is a key factor for a firm to become more competitive, and this stream is not exceptional for the food and agriculture industry. Along with this stream, Korea government organization, for example MAFRA (Ministry of Agriculture, Food and Rural Affairs), elected to adopt IoT technology, such as USN and RFID technologies, in the food and agriculture industry. Based on the IoT technology, MAFARA launched six "IoT based farm" project in 2007. IoT based farm project includes IoT based greenhouse system project, and it shows drastic efficiency in terms of cost reduction. When it comes to the productivity, however, the effect of IoT based greenhouse system is still ambiguous. In this regard, this study conducted systems analysis and design for IoT based tomato greenhouse in order to help farmers' decision making related to the productivity by establishing standardized database structure and designing output form to analyze productivity indices. Proposed systems analysis and design can be utilized as a data analysis tools by farmers. Productivity data from the proposed systems is can be used by researchers to identify the relationship among environment, plant growth and productivity. Policy makers also can refer to the data and output forms to predict the quantity of fruit during certain period and to revise production guideline more precisely.

• Journal of the Korean association of regional geographers
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• v.6 no.3
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• pp.169-184
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• 2000

Industrial clusters and their boundaries are identified by factor and hot spot analyses for the greater Cincinnati metropolitan area in USA. While traditional input-output approach identified aspatial industrial clusters, this study combines traditional approach with GIS techniques to identify their boundaries. Combining the results of input-output industrial clusters with the leading industries groups, we have identified five leading industry clusters. They are food (20), chemicals (28), metal manufacturing (32), metal products (33), and machinery (35). We also used hot spot analysis to visualize each industry cluster on the research area by using Arcview software. Determining the degree to which such industries are associated spatially and their spatial delimitation may be an additional approach to measuring the efficiency of the spatial organization of an economy. It is hoped that the industrial clusters and industrial spatial clusters approaches may also proved the basis for the development of new models of the spatial arrangement of industry at a level more aggregated than that of the single plant or firm.

• Journal of Labour Economics
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• v.35 no.2
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• pp.1-24
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• 2012

This paper analyzes the wage structure of college professors in private institutions in Korea. An analysis of earning functions reveals that the human capital of the professors is of more general type rather than firm-specific one. It is also found that the wage differential among colleges is far greater than that within colleges. Finally, the influence of research output or the fields of study on wage is found to be small. This shows that compensation for professors is set largely independent of individual performance or labor market conditions for professors.

• Journal of Technology Innovation
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• v.14 no.3
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• pp.1-21
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• 2006

The explosion in creation and utilization of IP including Patent since 1980s has been regarded as typical trend affecting the environment for technological innovation. Korea also has shown massive creation of IP. These stimulate the focused interest on the effectiveness of IP for protecting the innovation output. We try to analyze the determinants of this effectiveness in Korean manufacturing sector in terms of the charactenstics of firm's innovation strategy. It is shown that, for protection for product innovation, as being larger, and as having made innovation, the IP protection is regarded as effective, and firms making cooperative R&D have a higher possibility of using IP protection. And larger firms give a higher recognition to effectiveness of IP protection irrespective of the types of innovation such as product innovation and process innovation.

• Journal of Industrial Convergence
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• v.1 no.1
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• pp.127-142
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• 2003

This Study examines the implications for event studies using the daily stock data. The output present the event study results. The event period is defined from 30 days before through 30 days after the event date, and is broken into four "windows" for abnormal return cumulation: the pre-event period, days -30 through -2; dajys -1 and 0, a period commonly investigated for the immediate impact of the event; and the post-event period, days +1 through +30. It shows how firm's information offerings affect the price process and consequent issues. The Patell Z test is an examples of a standardized abnormal return approach, which estimate a separate standard error for each security-event and assumes cross-sectional independence. The generalized sign test adjusts for the fraction of positive abnormal returns in the estimation period instead of assuming 0.5.

• Korea Trade Review
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• v.44 no.2
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• pp.1-19
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• 2019

This paper investigates the effects of TPP on Korean domestic employment. Using data from 1995-2011 obtained from the world input-output database (WIOD) and firm-level data, this paper attempts to identify changes in global value chain (GVC) structures involving Korea and TPP member countries in the Asia-Pacific region. Three stage least squares estimation is employed, and empirical findings show that there exists a statistically positive and significant causal relationship between GVC and domestic manufacturing employment. The positive impacts of TPP on Korean domestic employment suggest that Korea actively encourage TPP negotiation. TPP will bring positive domestic employment effects and opportunities for structural transformation in the manufacturing and services industries in Korea.

• KDI Journal of Economic Policy
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• v.35 no.2
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• pp.41-70
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• 2013

In this paper, we analyzed whether there exists positive relation between firm's global activity and various innovation output and, if it exists, what are the major factors by which innovation outputs can be generated, focusing on the different degree of global activity. We found that for foreign MNC affiliates, their superior information access to existing knowledge is much more important and for non-MNC exporters and domestic MNC parents not only access to existing knowledge but also active investment in new knowledge is important. When we analyze the product and the process innovation separately, we found that for the process innovation information flows from existing knowledge is relatively more important while for product innovation investment in new knowledge and information flows from existing knowledge are almost equally important. Thus in Korea policies that promote both direct R&D activities and information flows should be pursued at the same time to enhance firms' innovativeness.

• Journal of Korea Port Economic Association
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• v.27 no.3
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• pp.207-230
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• 2011

This research attempts to classify the types of cooperation relationship between exporting firms and logistics firms from the more objective point of view. In order to fulfill the purpose of the research, the research figures out variables influencing the types of relationship and implement a cluster analysis and t-test. The results of this research are as follows. It shows that a variety of relations exist in exporting firms and logistics firms that differently take an effect on logistics output of exporting firms. Exporting firms, building active and comprehensive relations with their logistic firms, have achieved a better foreign logistics performance than exporting firms have not. In conclusion, as a result of conducting cluster analysis based on variables representing the relationships of firms, there is a meaningful difference in the types of performance and cooperation.