• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.4
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• pp.34-41
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• 2018

This paper studied balanced regional development focused on employment in Korea, by analyzing regional disparity between regional and industrial employment. A Gini-coefficient decomposition method and Panel Granger causality test were conducted, using raw data of the Census on Establishments reported by the Statistics Korea. The regional and industrial disparity of employment, based on the Gini-coefficient decomposition method, have increased by year. However, the growth rates of disparity are on the decrease. Most of employment disparity occurred from regional disparity between SMA (Seoul Metropolitan Area) and Non-SMA. Industrial disparity are occurred mainly by the service industry. The amount of contribution to the whole disparity of inter/intra regional employment was differed by each industrial sector. Also the causal relationship between employment growth of manufacture and that of service industry was analyzed by Panel Granger causality test. In national level, the employment growth in manufacture industry has conduced that in service industry. On the other hand, in the Non-SMA, only the employment growth in manufacture industry has augmented that in service industry. In conclusion, to reduce employment disparity, the strategy for balanced regional development should be emphasized. Different strategies are needed across regions and industries. Basically creating new job in the Non-SMA is inevitable. In view of stable employment, manufacture industry is more desirable rather than service industry.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.14 no.3
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• pp.30-39
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• 2006

The purpose of this study is to analyze how much Air Transportation Industry contribute to national economy by measuring economic spreading effects of Air Transportation Industry on national economy. To achieve the purpose of the study, the study uses an Air Transportation Input-Output Table of year 2000 of korea. The results shows that Air Transportation Industry induce 274,530.8 billion won of national production, import inducement 13,7073.7 billion won, value-added 110,994.9 billion won, especially Air Transportation Industry shows that production inducement coefficient is 1.36803, import inducement coefficient is 0.60581, value-added coefficient is 0.45189, income inducement coefficient is 0.18599 and employment inducement coefficient is 0.00841.

• Journal of Distribution Science
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• v.13 no.12
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• pp.85-94
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• 2015

Purpose - The purpose of this paper is to provide a political registration point for analyzing the economic impacts on the national economy from the REITs distribution industry in our country. The REITs distribution industry was introduced in 2001 to accelerate the corporate restructuring process and advance the real estate market. During its establishment, the REITs distribution industry faced difficulties; however, the industry grew rapidly through interest from institutional investors, thus mitigating the establishment problems by 2006. In Korea, more than 108 REITs were operating as of the end of June 2015. REITs contribute significantly to the national economy. The economic impacts on the national economy of the REITs distribution industry was analyzed using input-output (I-O) analysis with respect to production, imports, value-added, and employment. Research design, data, and methodology - The research used an I-O analysis of the activities of the REITs distribution industry in the national economy. The I-O analysis methodology analyzes the economic effects that influence other industries with respect to one unit of external investment. The data for this analysis were the I-O table of 2013 as published by the Bank of Korea in 2014. Results - The findings of this study are as follows. First, if an external input to the REITs distribution industry is 1 won, the overall impact of the product is 1.3869 won, the import induction is 0.0002 won, and the value-added induction is 0.7656 won. A new investment of 659.9 billion won into the REITs industry was estimated to produce a gross effect of 915.2 billion won. Second, if an external input to the REITs distribution industry is 1 billion won, the employment-inducing effects are estimated at 19.6394 individuals. The employment-inducing coefficient of 19.6394 for the REITs distribution industry indicates that the industry created significant employment-more than other industries-because the coefficient was 2.2 times the 2013 industry average employment-inducing coefficient of 8.8. Third, the investment effects of the REITs distribution industry on production induction, value-added induction, and employment induction are assumed to be large in business support services, financing, communications and broadcasting, and professional, scientific, and technical services. Conclusions - The REITs distribution industry was analyzed as having a strong employment inducing, high value added effect. The REITs distribution industry is an excellent alternative for the government authority to create multilateral jobs. Because the REITs distribution industry has a significant positive impact on the national economy, it should be developed. However, the I-O methodology has restrictions with respect to the fixation and timing of the input coefficient. Follow-up research is expected to supplement the analysis method at a specific point in time.

• Journal of Service Research and Studies
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• v.5 no.1
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• pp.35-43
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• 2015

Regional comparative analysis for the variability of young man's employment indexes is important to unemployment or employment policy data of central and local government. Through the result of comparative analysis, central and local government can use differentiated policies for the regions and keep the efficiency for the application of detailed policy. In this study, based on economically active population survey data which consider economically active population rate, employment population rate and unemployment rate as typical employment indexes of young man, we analyzed the variability of these indexes by metropolitan cities and province regions using coefficient of variation. Also we proposed the largest index in variability of three employment indexes, and proposed the city and province region with the largest variability for each employment index.

• Human Ecology Research
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• v.56 no.2
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• pp.175-193
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• 2018

This study identified the rate of income poverty and multidimensional poverty, correlation between income poverty and multidimensional poverty, and adjusted multidimensional poverty rate. We also analyzed the factors that affected the number of poverty dimension and the probability of belonging to the poor or not in 3,159 elderly households including 474 poor households and 2,685 middle class households. First, in poor households, the employment poverty rate was the highest and the housing poverty rate was the lowest. In middle class households, the relation poverty rate was the highest and the employment poverty rate was the lowest. Second, in poor households, correlation between asset poverty and relation poverty had the highest coefficient of .205 and asset poverty and housing poverty had the lowest coefficient of .149. In middle class households, the correlation between income poverty and relation poverty had highest coefficient of -.290 and employment poverty and relation poverty had the lowest coefficient of .038. Third, in poor households, the number of average poverty dimension was 4.30, but the number of average poverty dimensions of middle class households was 2.310. Fourth, the variable affecting the number of poverty dimensions in poor households were gender, age, level of education, marital status; however, the significant variables were gender, education level, marital status, income poverty in the middle class households. The variable that affected the probability of belonging to the poor or not in poor households was age. However, the significant variables were gender, education level, marital status, residence, and income poverty in middle class households.

• Journal of Korean Public Health Nursing
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• v.19 no.2
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• pp.329-339
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• 2005

Purpose: We wanted to examine the degree of employment stress that university seniors suffer and to find the factors affecting on this employment stress. Methods: The subjects were 250 university seniors in Seoul and Gyeonggido, and the data were gathered by using questionnaires that were administered from September to October in 2004. The data were analyzed with the SAS program by t-test, ANOVA, Pearson correlation coefficient and stepwise multiple regression. Results: The mean score of the respondents' total employment stress was 96.5 point out of 200. Their sub-factors of employment stress was 2.0 out of 4.0 for 'academic', 1.9 for 'personality', 2.1 for 'school environments' and 1.9 for 'home environments'. The degree of the seniors' employment stress from such things as their majors, their available jobs in the future, leaves of absence from school, the employment status, and the number of semesters within the leave was found to have significant differences. The major factors affecting on the employment stress were those related to personality stress and majors of the students, and these were 92.7% of the total stress. Conclusion: This study suggests the necessity of intervention or counseling with consideration being given to seniors' employment stress and the other symptoms like depression for improving the health of university seniors.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.13 no.1
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• pp.72-80
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• 2020

The information security industry is increasing in importance and market size due to the development of the fourth industry such as artificial intelligence, IoT and etc. This paper was analyzed the impact of the increasing information security industry on the domestic economy by using the Input-Output table. It was classified industrial sectors into information security products and information security services industries, and then reclassified the Input-Output table into 35 industries. And it was estimated the production inducement coefficient, the value-added inducement coefficient, employment inducement coefficient, and etc. The production inducement coefficients of the information security product and service industry are each 1.571, 1.802, and the value-added inducement coefficients of them are each 0.632, 0.997, and the employment inducement coefficients of them are each 2.494, 7.361. Only the value-added inducement coefficient of the information security service industry is slightly higher than the total industry, and the remaining inducement coefficients are all lower than the total industry. In addition, the information security product industry has no the forward and backward linkage effect, and the information security service industry has no the backward linkage effect. But it has the forward linkage effect. As a result of analyzing the economic ripple effect of the information security industry, the production inducement amounted to 359.9 trillion won, value-added inducement amounted to 164.8 trillion won, and employment inducement amounted to 803 thousand people.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.3
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• pp.257-267
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• 2022

The employment effect of innovation-certified SMEs (venture certification, inno-biz certification and main-biz certification) and general SMEs was compared and analyzed. Through propensity score matching, general SMEs with similar tendencies to SMEs for each innovation certification were selected. The employment effect was approached from two perspectives: the absolute employment effect, the employment growth rate, and the relative employment effect, the sales-employment coefficient. As a result of the analysis, it was confirmed that venture certified SMEs and inno-biz certified SMEs, which are technology innovation-type certifications, have an advantage in absolute employment effect. In addition, it was concluded that innovation-certified SMEs have more room for employment than general SMEs by achieving sales growth that exceeds employment growth. Therefore, there is a possibility to enhance the employment effect of innovation-certified SMEs by strengthening employment-related incentives for innovation-certified SMEs.

• Culinary science and hospitality research
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• v.23 no.5
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• pp.169-177
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• 2017

Smoking bans at restaurants and bars have recently been introduced in Korea. Researchers and stakeholder are interested in the resulting changes in sales of restaurants and bars and their impact on overall national economy including employment. We examined the input-output tables (2013) issued by The Bank of Korea. The result showed that the production inducement coefficient was about 2.16; employment inducement coefficient was 13.1 for the restaurant and bar industry. The amount of inducement in the national production was calculated by 93,100 billion KRW. Employment inducement was calculated by 1,219,610 persons overall industries for a year. Assuming there comes a change (3%, 5%, 10%) in restaurant and bar production in consequence of the smoking bans, we computed following change in the national production and employment. The resulting changed in national production was 6,033 billion, 10,055 billion, and 20,110 billion KRW, respectively. The impact of employment overall industries was calculated 79,032, 131,720 and 263,441 persons, respectively.

• The Journal of the Korea Contents Association
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• v.18 no.2
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• pp.216-230
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• 2018

In this paper, we analyze the economic ripple effects of technology related to the unmanned aerial vehicle industry by applying industry association analysis. Specifically, the effects of employment creation, value added inducement, sensitivity coefficient, and influence coefficient can be calculated, and implications for the analysis result are presented. As a result, the employment inducement effect was confirmed to be 10.017 persons per 1 billion won of investment. The value added inducement effect was much higher than the other manufacturing industry average (employment inducement coefficient: 2.285, value added inducement coefficient: 0.581) when the 1 won budget was added, resulting in 0.9771 won added value. In the unmanned aerial vehicle industry, the coefficient of sensitivity, which means the front chain effect, is 0.7870, which is lower than the manufacturing average (sensitivity coefficient 1.125), and the coefficient of influence, which means the backward chain effect, is 1.161, which is higher than the manufacturing average (influence coefficient: 1.116). Therefore, it is classified as the final demand manufacturing industry. This means that the unmanned aerial vehicle industry is an industry that is less affected by economic fluctuations and can be interpreted as an industry with a greater economic impact than other sectors. Based on these data, it can be used to establish the R&D investment direction policy of the unmanned aerospace industry.