• Proceedings of the Technology Innovation Conference
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• 1999.12a
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• pp.197-215
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• 1999

With the advent of knowledge-based economy and information society, information and telecommunications(IT) industry is reckoned as the crucial sector for the creation and diffusion of technological knowledge. In this study, we analyze the process of 'industrialization of IT'and 'informatization of industries' based on the technology linkage structure, or technological knowledge network. The former is defined as the process whereby IT industry absorbs technological knowledge from other industries to grow as an independent industrial sector. The latter is defined as the process whereby other industries adopt IT technology to enhance productivity and upgrade industrial structure, We employ the R&D stock as a proxy for technological knowledge of respective industries and measure the flow of technological knowledge between industries in terms of I/O relationship. By applying the network analysis, we examine the changing pattern of technology linkage structure of the Korean industry throughout the years from 1983 to 1997. Some policy implications are presented based on the findings from the analysis.

• Journal of Fashion Business
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• v.1 no.1
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• pp.43-52
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• 1997

The main purpose of this study was to examine the sectors of Korean textile complex based on various economic characteristics and performances. The sectors in the textile complex differed in many aspects. Man-made fiber industry showed capital-intensive characteristics even though most of the sectors in the textile complex were labor-intensive. Textile industry is composed of weaving and spinning, knitting, dyeing and finishing sectors and even within the textile industry, each sector had different characteristics from each others. Weaving and spinning sector seemed to require relatively high capital investment, while dyeing and finishing was very labor-intensive. Labor-intensive apparel industry has faced decrease in labor-productivity while wage has increased. Slow growth in labor productivity in Korean textile complex was shown to be a more problem than increase in wage or ratio of labor cost to value added. Apparel companies appeared to be in better financial states than the textile companies, even though the exports of apparel products have decreased in the 1990s. However, in overall the financial states of the Korean textile complex were not as strong as those of the other manufacturing sectors.

• East Asian Economic Review
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• v.19 no.2
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• pp.117-142
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• 2015

This paper uses a 53-country 15-industry computable general equilibrium model of trade to analyze the effects of the Korea-China free trade agreement on the Korean economy, the manufacturing sector in particular. The model is based on Yaylaci and Shikher (2014) which uses the Eaton-Kortum methodology to explain intra-industry trade. The model predicts that the Korea-China FTA will increase Korea-China manufacturing trade by 56%, manufacturing employment in Korea by 5.7% and China by 0.55%. The model also predicts significant reallocation of employment across industries with the Food industry in Korea losing jobs and other industries there gaining jobs, with the Medical equipment industry gaining the most. There will be some trade diversion from the ASEAN countries, as well as Japan and the United States.

• Journal of Digital Convergence
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• v.16 no.12
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• pp.185-195
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• 2018

This study aims to explore the development of FinTech industry in Korea by comparing and analyzing the effect of job creation in the FinTech industry in Korea and the US. The industry Input-Output table used in the analysis used WIOD, which is composed of the same industrial classification and monetary unit in both Korea and the US. For the analysis, the FinTech industry is composed of ICT sector and financial sector as one industry. This study also compares the employment creation effect in the ICT sector and the financial sector, in addition to the FinTech industry, in order to distinguish the FinTech industry characteristics of the two countries. As a result of the analysis, when the investment or production of 1 million US dollars was made in the FinTech industry in Korea, the employment inducement effect was 11.33 and the employment inducement effect was 9.47, indicating a total employment creation effect of 20.8 persons. In the United States, the Direct employment effect was 8.07 and the indirect employment effect was 7.72, indicating that the employment creation effect was 15.79. However, as a result of classification by the average employment creation effect of the national economy, Korea 's FinTech industry is classified as indirect employment advantage with a high indirect employment inducement effect and the United States is classified as an employment creation advantage with high both direct and indirect employment inducement effect.

• Journal of Distribution Science
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• v.18 no.2
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• pp.59-67
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• 2020

Purpose: This study examines the relationship between formation of employment subcenters and regional industrial structures in Incheon. Research design, data, and methodology: We used the five-year panel data from 2012 to 2016 in 146 basic municipal units of Incheon to analyze panel regression models. Gross employment density and employment to population ratio were used as indicators of employment subcenters formation. The entropy index and Hachman index were used for analyzing the diversity and heterogeneity of industrial structures. Result: The analyses of two panel regression models showed that for the formation of employment subcenters, both the Entropy and Hachman index were significantly negative in most models. But tertiary industry was shown to have a significant positive relationship in all models. In the wholesale and retail sector, it was found that the average number of employees in the employment subcenters is significantly higher than that in the non-employment subcenters. Conclusions: The specialization of the industrial structure rather than the diversification contributes to the formation of the employment subcenters in Incheon. In particular, it can be considered that the wholesale and retail sector plays a very important role in forming the employment subcenters in many areas of Incheon.

• Korean Journal of Organic Agriculture
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• v.27 no.4
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• pp.391-408
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• 2019

The purpose of this study is to analyze the spillover effect of R & D investment focusing on agriculture sector. Therefore, the Korean industry is divided into 18 industries and the data period including 1970 ~ 2014 is analyzed. In addition, the method is based on the analysis of the production function, the growth contribution of the production factor, and the spillover effect of other industries that affect the agricultural output. The results of this study are summarized as follows. First, R & D investment has a positive effect on the production of Korean agriculture. Second, the impact of high tech industry R & D investment on Korean agriculture is positive. Third, the R & D investment in the public sector is relatively higher than the R & D investment in the private sector. In the R & D stage, the R & D investment of the first level technology has a great influence on the production of agriculture. As a result of this study, governments should consider the above mentioned research results to determine resource priorities based on limited resources in relation to R & D investments that contribute to production and economic growth.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.297-307
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• 2021

Although there are several studies on the impact of pesticides use, there is no consistent conclusion about such evidence on capturing the socioeconomic independence. The propose of this paper is to investigate the economy-wide impact of pesticide use in Thailand. The research data and methodology in this paper are depended on a social accounting matrix framework incorporating the pesticide-related illness as an additional sector, following Resosudarmo and Thorbecke (1998), to explain the impact of the pesticides on the related agricultural sector, food sector, and the social welfare of different households. Thus, the main characteristics of the Thai economy can be comprehensively described by providing information contained in this framework. In this respect, the several data sets are constructed to include the economic and social structure interdependencies, which are necessary to analyze the policy implications, especially industrial policy. The results were analyzed according to the general equilibrium theory and the Leontief multiplier matrix. It reveals that the food industry and the economy are significantly affected by the pesticides. One of the most interesting findings of this paper suggest that the food sector needs to determine its output to avoid bottleneck situations and create equality across the food production system.

• Korea Trade Review
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• v.44 no.1
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• pp.45-56
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• 2019

The purpose of this study is to investigate the relationship between foreign investment and carbon emissions in the Korean electricity sector, the causal relationship between the foreign investment invested in the electric power sector in the 16 regional regions and the carbon emissions in the region, The purpose of this study is to analyze the effects of foreign investment on these sectors and the carbon footprint of these sectors using Panel Random Effect Analysis, Panel VAR and OLS models. A panel analysis of foreign investment and regional carbon emissions showed that there was a causal relationship. Based on this analysis, OLS analysis showed that 7 out of 16 metropolitan areas were foreign investment And carbon emissions were significant. In the remaining six regions except Gwangju, there was a causal relationship between foreign investment in the local power sector and the reduction of carbon emissions. After categorizing the electric power industry by device, process, purpose and number of employees, causality also appeared in relation to foreign investment in these sectors and their carbon emissions. Through this study, the authors suggest that foreign investment can be a way to solve not only the financial burden of carbon emission problem, but also the development of national economy and industry through the inflow of capital and advanced new technology.

• Journal of Agricultural Extension & Community Development
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• v.22 no.2
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• pp.175-190
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• 2015

Most studies examining the sub-categories of agro-industry used to access an inter-industry analysis. However, These are some limitations that researchers set sub-categories differently according to their needs. Thus, This study aims to empirically explore the agro-industry sub-categories by area of academic research on agricultural science. The National Standard Science and Technology Classification(NSSTC) codes were used to classify academic research on agricultural science. This codes were examined the sub-categories using Korean input-output statistics industry and product classification by hiring 220 departments of 37 agricultural colleges. Results showed that studies using an inter-industry analysis coincided in terms of agricultural production, but showed differences in forward and backward linkage industries and services. Forward linkages industry were clearly limited to industries in which agricultural products are inputted as raw materials. Then, in terms of services related to agriculture, Previous studies represent fields such as transport and real estate, which are not included. Moreover, Research institutions overlooked by previous studies occupy an important position.

• Journal of Distribution Science
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• v.11 no.7
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• pp.15-22
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• 2013

Purpose - The study investigates the influence of tourism and hospitality industry on economic growth and CO2 emissions. Research design, data, and methodology - In the empirical analysis, unit root tests, cointegration test and vector error correction model regression using time series data of South Korea from the first quarter of 1970 to the third quarter of 2010 are performed to examine the long-run equilibrium relationship and short-run dynamics among the tourism and hospitality industry, CO2 emissions, economic growth and other industry sectors. Results - Results indicate that a long-run equilibrium relationship exists among these variables. Furthermore, the tourism and hospitality industry and CO2 emissions have high significant positive effect on economic growth. The tourism and hospitality industry in Korea, in turns, shows a high significant positive impact on economic growth while the industry sector incursa high significant negative impact on CO2 emissions. Conclusions - The tourism and hospitality industry in Korea may havebeen prompted by several factors such as accelerated process of technological innovation or energy and environmental policies. These findings suggest that the effectively managed tourism and hospitality sector in Korea has resulted in both economic growth and a reduction in CO2 emissions.