• Title/Summary/Keyword: employment inducement

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Employment Effects Evaluation of Naver Shopping in 2018 (2018년 네이버 쇼핑의 고용영향 평가)

  • KIM, Heung-Kyu;JUNG, Yeon-Sung
    • The Journal of Industrial Distribution & Business
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    • v.10 no.5
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    • pp.27-36
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    • 2019
  • Purpose - Naver has emerged as a new leader in the open market. While existing open markets such as Gmarket, 11th Street, and so on are suffering from profitability deterioration, Naver is attracting sellers based on low commission and powerful search engine. We would like to analyze the impact of Naver shopping on the national economy, especially on employment, in a situation where the market reaction to Naver's strength as a leader in online shopping is mixed. Research Design, Data, and Methodology - Through the demand inducing inter-industry analysis, we estimate the employment inducement effect by Naver shopping from its shopping transaction. In turn, through the supply inducing inter-industry analysis, we estimate the employment inducement effect by Naver shopping from its low commission and powerful search engine. For the purpose of inter-industry analysis, as of 2018, the most recently announced 2014 inter-industry table (extension table) from the Bank of Korea is used. Results - The results of this study are as follows. First, Naver Shopping is expected to generate 7.8 trillion won's trade in 2018, resulting in 244,225 of job inducement, and 158,598 of employment inducement. In addition, Naver Shopping is estimated to benefit KRW 213 billion to its sellers due to low commission and powerful search function, resulting in 8,667 of job inducement, and 5,655 of employment inducement. Second, in terms of job inducement and employment inducement due to Naver Shopping's trade, transportation, business support service, information and communication, broadcasting, restaurants and lodging were ranked. Third, in terms of job inducement and employment inducement due to Naver Shopping's low commission and powerful search function, restaurants and hospitality, f/b and cigarette manufacturing, construction, and transportation equipment manufacturing were ranked. Conclusions - The number of job inducement resulting from low commission and powerful search engine of Naver shopping in 2018 was 8,667 (3.7% of 244,225, which was caused by transaction in Naver shopping in 2018), and employment inducement was 5,655 (3.7% of 158,598, which was caused by transaction in Naver shopping in 2018), which can be considered as additional employment impacts of Naver Shopping compared to the other online shopping operators.

Estimating the Impacts of Air Transportation Industry on National Economy (항공운송산업의 국민경제 파급효과 분석)

  • Bae, Ki-Hyung
    • 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.

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Analysis of the Economic Ripple Effect of New Financial Input in the National Assembly FM Radio (국회 FM 라디오의 신규 재정 투입에 따른 경제적 파급 효과 분석)

  • Park, Sungmin
    • Journal of Broadcast Engineering
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    • v.26 no.5
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    • pp.575-582
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    • 2021
  • This study would analyze the economic impact of the new financial input to the National Assembly FM Radio. Recently, with the 4th industrial revolution and the change in the new media paradigm, there are changes into multi-media and multi-channels, such as mobile, Internet, and OTT, etc. Reflecting these changing internal and external conditions, National Assembly Television, too, should introduce FM radio broadcasting so that the viewers can use the public services without spatial and temporal constraints. Thus, this study would conduct an analysis, estimating the budget required for investing the new government funding in the National Assembly FM Radio. As for the main analysis results, the coefficient of production inducement was 1.661; that of added value, 1.141; and that of employment inducement, 7.1. In the capital district, the effect on production inducement was 6.928 billion won; that on added value inducement, 4.758 billion won; and that on employment inducement, 28.4 persons. In addition, in the whole country, the effect on production inducement was 13.257 billion won; that on added value inducement, 9.106 billion won; and that on employment inducement, 49.7 persons.

A Comparative Study on the Employment Creation Effect of FinTech Industry in Korea and USA (한국·미국 핀테크(FinTech) 산업의 고용창출효과 비교 연구)

  • Shin, Yong Jae
    • 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.

An Analysis of Economic Ripple Effect on the Knowledge Service Industry (지식서비스산업의 경제적 파급효과 분석)

  • Kim, Pang-Ryong;Kim, Young-Eun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.4
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    • pp.771-778
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    • 2014
  • In this study, we have measured the effects on production inducement, added value inducement, employment inducement and backward and forward linkage regarding the knowledge service industry in Korea. It turns out that the knowledge service industry greatly contributes to increase of added value and employment creation while highly withholds to effect on production inducement and backward and forward linkage effects. In recent, government seeks out new growth driver out of the knowledge service industry. We have found the fact that its direction should be 'production growth of the knowledge service industry' through this study.

The Analysis of Economic Impact for Information Security Industry using Inter-Industry Analysis (산업연관분석을 이용한 정보보호 산업의 경제 파급효과 분석)

  • Jeong, Eun-Hee
    • 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.

A Ripple Effect of Regional Economy by Government Aid for Forest Fire Restoration through the Input-Output Analysis (산불피해지역 복구를 위한 정부지원이 지역경제에 미치는 파급효과 분석)

  • Lee, Jae-Keun;Kim, Joon-Soon;Lee, Young-Geun
    • Journal of Korean Society of Forest Science
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    • v.96 no.3
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    • pp.338-347
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    • 2007
  • The purpose of this study was to analyze a ripple effect of the regions, Samcheok city, Goseong county and Donghae city, in Gangwon province by government aid for forest fire restoration through the input-output analysis. These regions were devastated by forest fire in 2000. Direct production inducement effect was higher than indirect production inducement effect except for construction industry. Income inducement effect similarly showed production inducement effect Indirect employment inducement effect was higher than direct employment inducement effect. The efficiency of government aid took a side view of three effects. Production inducement effect and income inducement effect in Donghae were more efficient than these in Samcheok and Goseong. Employment inducement effect in Samcheok was more efficient than it in Goseong and Donghae.

Economic Ripple Effect of the TKR on the Logistics Industry

  • KIM, Sun-Ju
    • Journal of Distribution Science
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    • v.19 no.3
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    • pp.25-34
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    • 2021
  • Purpose: The purpose of this study is to analyze the economic ripple effect(ERE) of logistics industry by construction of Trans-Korea Railway (TKR) and present policy measures to minimize the economic loss of South Korea (SK). Research design, data and methodology: As the analysis method, exponential smoothing was used for demand forecasting, Input-Output analysis was used to estimate the economic ripple effect coefficient, and scenario analysis was used to an efficient way to invest in TKR to minimize SK's economic losses. Results: 1) the production(logistics fares) of TKR for 10 years after its completion is about 11.42 trillion won in positive relations, and 26.89 billion won in negative relations. 2) the ERE of SK in positive relations is 24.32 trillion won in production inducement effect, 8.1 trillion won in value-added inducement effect, 3.54 trillion won in import inducement effect, and 70,930 persons in employment inducement effect. But the ERE was insufficient in the negative relations. 3) SK's efficient investment method is providing materials and equipment by SK and building the TKR by North Korea in positive inter-Korea relations. Conclusions: For the successful operation of TKR, international cooperation, legalization and stable peace settlement on the Korean Peninsula are required.

Economic Impact Effect Analysis of Flounder Aquaculture Industry in Jeju (제주넙치 양식산업의 경제파급 효과분석)

  • Kim, Jin-Ock;Kang, Seok-Kyu
    • The Journal of Fisheries Business Administration
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    • v.42 no.1
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    • pp.85-96
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    • 2011
  • We have done the input-output analysis to see the over all impact of flounder industry of Jeju region on the domestic economy of Korea. To do the input-output analysis, we have constructed the data set for the input-output table by using the existing data set in the "2003 input- output table of Jeju regional area" published by the joint work of Jeju branch of Korea bank and the Jeju Development Institute, together with some raw data provided by Jejudo Marine Fish-Culture Cooperative. We have also produced input coefficient of flounder industry by making flounder industrial sector exogenous, separated from intermediate demand. To summarize our empirical results, the inducement effect of production, value added, and employment of Jeju flounder aquaculture industry are 300 billion won, 116 billion won and 1,800 people respectively. In conclusion, the results of this study suggest flounder industry of Jeju region contributes powerfully to not only Jeju economy but also all over the Korea economy.

A Study on the Economic Effect of the Establishment of Convergence Zone in the Gyeongbuk Industry-University Convergence Area (경북산학융합지구 융복합 Zone 조성 경제적 파급효과 연구)

  • Kim, Shin-Pyo;Kim, Jae-Moon;Gown, Yun-Ha;OH, Se-Dong;Lee, Soon-Bea
    • Journal of Industrial Convergence
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    • v.13 no.1
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    • pp.1-9
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    • 2015
  • The purpose of this Study is to analyze the economic effect of the project for the establishment of the Convergence Zone of the Gyeongbuk Industry-University Convergence Area aimed at activation of R&D of companies within the Kumoh Technology Valley. As the result of the analysis, the investment of 56.837 Billion Won in the establishment of the Convergence Zone of the Gyeongbuk Industry-University Convergence Area had the effect on production inducement valued at 133.582 Billion Won, effect on added value inducement valued at 41.764 Billion Won, effect on import inducement valued at 16.794 Billion Won and the effect on employment inducement numbered at 4,992 persons.try.

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