• International Commerce and Information Review
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• v.11 no.2
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• pp.149-172
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• 2009

Service industries nowadays have become the subject of a scientific research. However, unlike research on manufacturing, there has not yet been a broader presentation of important aspects theoretically and methodologically. The importance of service sector in both national and global economies has grown significantly. An active participation of service industries in the internationalization process, notably by licensing and FDI, has occurred over time. But a few sub-sectors still dominate on this process, for example, financial institutions such as banks, securities, and insurance as well as producer services in advertising and accounting. On the other hand, personal services that are owned by small- and medium- sized firm have limited capabilities in their transnational transfer. This paper attempts to examine various factors influencing decisions for these small- and medium- sized Korean beauty firms in entering to the foreign markets. Determining factors for these firms in the engagement of internationalization depends largely on competitive advantages in both domestic and host countries, and they may be different from those in the sub-sectors mentioned above. Based on previous researches, i identified three categories of independent variables(characteristics of firms, managers, and competition) that can influence decisions to enter to the foreign markets. Seven hypotheses have been tested by using a sample of beauty firms in Daegu city and Kyungbuk province. The results show that the intention of these firms to enter to the foreign markets is significantly influenced by the factors of the innovative character of CEO's, the competitiveness of firms, and size of firms.

• Journal of the Korean Regional Science Association
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• v.32 no.4
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• pp.51-73
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• 2016

Considering the intensified ties between Korean service industry and the other industries in China and Japan, this study empirically analyzes the inter-industry network between the service industry in the Korean capital region and 10 industrial sectors in 20 city-regions of China, Japan, and Korea(CJK). Firstly, unit structures are constructed based on the estimated CJK interregional input-output tables to understand the production connection. Moreover, the reorganized unit structures are visualized as networks and examined from various angles. As the results of the analysis, the inter-industry network of the service industry in the Seoul Metropolitan Area is still mostly dependent on domestic industries, especially on manufacturing industry, while it shows the tendency to be weakly connected to the industries in Chinese and Japanese city-regions.

• Journal of Korea Trade
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• v.26 no.4
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• pp.23-38
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• 2022

Purpose - This paper empirically explores the RCA of electrical equipment trade between China and Korea from the perspective of gross trade and value-added trade. The goal of this paper is to scan the electrical equipment's RCA, the decomposition of gross exports, and the impacts of an exerted shock. Design/methodology - We applied the domestic value-added method in measuring the RCA, which could be more accurate than traditional RCA since it excludes foreign value-added. Based on the research purpose, this paper follows the framework of Koopman, Wang, and Wei (2014)-as extended by Wang, Wei, and Zhu (2018). It extracts the data from the 2019 Multi-regional Input-Output (MRIO) databases compiled by the Asian Development Bank in January 2021. Findings - After rigorous examination, the main findings are as follows: First, the electrical equipment sector maintains a consistent comparative advantage in either assessing method. Second, China exports more gross goods of electrical equipment to the world than South Korea does, but there is a trade deficit with Korea. Third, South Korea and P.R. China are the most significant bilateral partners of foreign value-added sourcing. Finally, it is surprising that there is a shock on electrical equipment; the partner's service, as well as manufacturing sectors, would be affected. Originality/value - This paper explores the revealed comparative advantage between Korea and China from traditional gross export and value-added perspectives. Second, we apply the information from the 2019 MRIO database compiled by the Asian Development Bank in January 2021, reflecting the current situation. Third, this paper analyzes the electrical equipment and the impacts on other parties' sectors. Finally, we carry out the subjects that deserve to be investigated in the future.

• Information Systems Review
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• v.19 no.4
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• pp.111-134
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• 2017

This study compares the linkage effects and competitive advantage between ICT and automobile industry in Korea from 1996 to 2011 using input-output tables. The ICT industry is classified according to the International Standard Industry Classification. Results show that (1) the ICT industry exhibits linkage effects similar to those of automobile industry. (2) Both ICT and automobile manufacturing sectors exert significant effects on the demand and supply. Additionally, (3) ICT service and automobile sectors show linkage effects on demand and supply, respectively. The present results present the classification criteria of the ICT industry discussed to date and suggest economic effects and policy implications.

• Korea journal of population studies
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• v.20 no.1
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• pp.129-159
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• 1997

The main purpose of this study is to describe the different life chances among various occupational groups in Chonbuk Province which has been excluded in the process of Korea's industrialization since the 1960s. More specifically, this study analyzed to what extent 6 occupational groups have the different life chances in the sub-levels such as health conditions and leisure life. According to our data analysis, it is found that the 6 occupational groups have the different life chances. That is, while those who are engaged in the higher prestigious occupation have a good life chance, those who in the lower prestigious occupation have a worse life chance. For example, among 6 occupational groups, professional-managerial who secure the higher autonomy and stability in their work have the highest life chance in the labor and health, and leisure life. Next, professional-technical, white-collar, sales-service occupants have the higher life chance after the professional-managerial. However, these 3 occupation groups are partially inconsistent in the two sectors of the life chance. Specifically, the professional-technical, despite their autonomy and stability in the work world, conceived that their work conditions are worse as well as badly influencing on their own health. On the other band, the sales-service workers group, despite their lower social status, is relatively autonomous and stable in their work environment and thus has the higher life chances. Finally, agricultural and productive workers have relatively the lower lift chances. Nevertheless, there are some clear differences among these 2 occupational groups. That is, the farmers have relatively the higher life chances in the sectors of socio-economic characteristics, and labor and health rather than productive workers. As a result, the productive workers are generally located in the lowest level of life chance. This fact is particularly attributed to the fragility of manufacturing industries in Chonbuk Province.

• Journal of the Economic Geographical Society of Korea
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• v.6 no.2
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• pp.307-326
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• 2003

In Korea, as the state has played a vital role for industrial development, the location and development of industrial complexes have not been merely decided by economic factors but political and social factors as well. The location of industrial complexes in Chonbuk province has not been decided by industrial enterprises to be located there, but by investment strategies of the state. In the early stage of industrialization, Chonbuk could not attract a large-scale major complex because it had relatively inferior infrastructure for industry and uneasy access to overseas export markets, as compared to the capital region or the Southeast region of the country, and it has been left behind as a periphery in the national industrial system. Since 1980, the spatial policies for lessening regional disparities had much contributed to the development of industrial complexes in this province. The industrial complexes leading to the development of manufacturing activities in this region have also great influenced on structural changes of manufacturing as well as changes in the structure of the regional economy. Especially, capital goods manufacturing tends to increase in this region as the development of sectors required relative higher skill and technology mainly occurs in these complexes. And where the large-scale industrial complexes are located greatly influences the locational patterns of manufacturing in this province. The patterns of the industrial complexes in this region have concentrated in Chonju, Iksan, and Kusan, which are the largest cities in this province. Given these three cities to be very closely proximate, it seems to be easy to build network between them to develop the manufacturing activities in the near future.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.2 no.4
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• pp.71-102
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• 2007

There were many comprehensive analyses conducted within the existing research activities wherein factors affecting technology progress including investment in R&D vis-${\Box}$-vis their influences act as the determinants of TFP. Note, however, that there were few comprehensive analysis in the industrial research performed regarding the impact of the economy of scale as it affects TFP; most of these research studies dealt with the analysis of the non -parametric Malmquist productivity index or used the stochastic frontier production function models. No comprehensive analysis on the impacts of individual independent variables affecting TFP was performed. Therefore, this study obtained the TFP increase rate of each industry by analyzing the factors of the existing growth accounting equation and comprehensively analyzed the TFP determinants by constructing a comprehensive analysis model considering the investment in R&D and economy of scale (smallness by industry) as the influencers of TFP by industry. First, for the TFP increase rate of the 15 industries as a whole, the annual average increase rate for 1993${\sim}$ 1997 was approximately 3.8% only; during 1999${\sim}$ 2000 following the foreign exchange crisis, however, the annual increase rate rose to approximately 7.8%. By industry, the annual average increase rate of TFP between 1993 and 2000 stood at 11.6%, the highest in the electrical and electronic equipment manufacturing business and IT manufacturing sector. In contrast, a -0.4% increase rate was recorded in the furniture and other product manufacturing sectors. In the case of the service industry, the TFP increase rate was 7.3% in the transportation, warehousing, and communication sectors. This is much higher than the 2.9% posted in the electricity, water, and gas sectors and -3.7% recorded in the wholesale, food, and hotel businesses. The results of the comprehensive analysis conducted on the determinants of TFP showed that the correlations between R&D and TFP in general were positive (+) correlations whose significance has yet to be validated; in the model where the self-employed and unpaid family workers were used as proxy variables indicating the smallness of industry out of the total number of workers, however, significant negative (-) correlations were noted. On the other hand, the estimation factors of variables surrogating the smallness of scale in each industry showed that a consistently high "smallness of scale" in an industry means a decrease in the increase rate of TFP in the same industry.

• Environmental and Resource Economics Review
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• v.14 no.2
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• pp.257-290
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• 2005

Korean energy use in industrial sector has increased more rapidly than other sectors during 1980~2000 periods. Relatively higher increases in industrial sector energy consumption raise questions whether government policy of rationalization of industrial energy use has been effective. In this study, we use 80-85-90 and 90-95-00 constant price input-output table to analyze increases in industrial energy use. Using an adjusted version of structural decomposition model introduced by Chen and Rose (1990), we decompose Changes of energy use into 17 elements. We classify entire industry sector into 32 sectors including four energy sectors (coal and coal products, refined petroleum, electricity and town gas). We then analyze changes of energy use by industrial level to check differences among industrial energy demand structures. Finally, we compare three industries, electronic product manufacturing, metal manufacturing and construction, that represent technology and capital intensive, energy and material intensive and labor and capital intensive industry. As results, we find that high energy using industries make the most effort to reduce energy use. Primary metal, petrochemical and mon-metal industries show improvements in elements such as energy and material productivity, energy and material imports, energy substitution and material substitutions towards energy saving. These results imply that although those industries are heavy users of energy, they put the best effort to reduce energy use relative to other industries. We find various patterns of change in industrial energy use at industrial level. To reduce energy use, electronic product manufacturing industry needs more effort to improve technological change element while construction industry needs more effort to improve material input structure element.

• International Commerce and Information Review
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• v.17 no.3
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• pp.379-402
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• 2015

The purpose of this study is to determine whether there is a significant difference in impacts decomposed into scale effects and technique effects on $CO_2$ emissions between Greenfield FDI and M&A FDI flows into Korean manufacturing sectors, ultimately leading to clarify the relationship between FDI and environmental pollution. To this end, the research constructed a simultaneous model to analyze coincidental relationship of influence and interactions between each variable. Archival data, spanning the 15 years period from 1995 to 2009, is industry-level panel data on 13 Korean manufacturing sectors, and it is empirically analyzed with three-stage least squares (3SLS) method. Key findings can be summarized into two parts. First of all, Greenfield FDI has a greater impact on increasing industrial gross output, resulting in more $CO_2$ emissions than M&A FDI through scale effects. Secondly, technique effects of FDI have a bigger impact on $CO_2$ emissions than scale effects, implying that this inflow of FDI into Korea contributes positively to the reduction of $CO_2$ emissions. These findings are expected to play a meaningful role in establishing FDI policies with consideration of the environment by giving the implication that different incentives for each FDI type should be considered to maximize the effect of environmental protection.

• Journal of the Korean association of regional geographers
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• v.14 no.5
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• pp.536-552
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• 2008

In Korea, a variety of policies for the regional cultural industry development have been carried out: the promotion policy of cultural industry cluster, the establishment of cultural industry support center, and the construction of cultural industry complex and the supporting works for the cultural research center. The cultural industry has a dual character of the manufacturing industry and the service industry. The cultural industry of Gyeongbuk province is mostly centered upon small manufacturing firms with low value-added. Thus, it is desperately in need of the building-up of the enterprise supporting system. However, it is difficult to expect that private business service finns can be activated. In this sense, local and regional governments seek to establish so called 'the cultural contents support center'. However, it is not clear whether the center is an organization for the production of cultural contents or an agency for the support of cultural contents industry. Also it does not prepare any major functional introduction facilities and performing programs. Most of all, it is necessary to establish a proper orientation that 'the cultural contents support center' must be not an organization for the direct production of cultural contents, but an organization supporting cultural industry by way of providing cultural industry enterprises with what is necessary for the production of cultural contents. Also, a system for the establishment of business fitting support policy that can cover the whole sectors of cultural industry must be prepared. Furthermore, a synthetic support system for the cultural business associated industries centered on specified sectors such as films, edutainment, and storytelling must be constructed. Finally an environment for the creation and inducement of cultural industry enterprises, and for the active participation of enterprises and related groups in the promotion planning and in the policies of cultural industry must be built along with on- and off-line networks.