• International Commerce and Information Review
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• v.18 no.1
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• pp.235-258
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• 2016

This study is to arrange the amount of foreign direct investment(FDI) inflow into the country between 2011 and 2013, using the Input-output Table on the basis of the bench-mark table of the same period, based on the Industry Relation Table. As a result, the average amount of FDI inflow of the three years was estimated 15.3 trillion won, and the average gross product inducement amount 45.8 trillion won. The characteristic of FDI inflow is that it is weighted in the industries with the high index of the sensitivity of dispersion and the high index of the power of dispersion, such as chemical products, electric and electronic equipment and metal products. It is especially anticipated to attract FDI to the industry with the high index of the sensitivity of dispersion used as the intermediary product.

• Journal of Astronomy and Space Sciences
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• v.19 no.4
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• pp.305-318
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• 2002

We have constructed two flight models of airglow photometer system (AGP) to be onboard Korea Sounding Rocket-III (KSR-III) for detection of MUV dayglow above the Korean peninsular. The AGP system is designed to detect dayglow emissions of OI 2972${\AA}$, $N_2$ VK(0,6) 2780${\AA}$, $N_2$ 2PG 3150${\AA}$ and background 3070${\AA}$ toward the horizon at altitudes between 100 km and 300 km. The AGP system consists of a photometer body, a baffle an electronic control unit and a battery unit. The MUV dayglow emissions enter through a narrow band interference filter and focusing lens of the photometer, which contains an ultraviolet sensitive photomultiplier tube. The photometer is equipped with an in-flight calibration light source on a circular plane that will rotate at the rocket's apogee. A bane tube is installed at the entry of the photometer in order to block strong scattering lights from the lower atmosphere. We have carried out laboratory measurements of sensitivity and in-flight calibration light source for the AGP flight models. Although absolute sensitivities of the AGP flight models could not be determined in the country, relative sensitivities among channels are well measured so that observation data during rocket flight in the future can be analyzed with confidence.

• 중국학논총
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• no.69
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• pp.167-186
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• 2021

在本研究中, 爲了分析自加入WTO以来中國金融業的生産誘導效應, 我們使用2007年, 2012年和2017年的中國投入産出表分析了与其他行業交换了哪些政策影響。主要分析結果如下。首先, 影響力系數而言, 在2007年和2012年, 對中國經濟發展産生影響的傳統制造業正逐渐向具備技術的專業裝備制造業轉移。分析表明, 由于出现冲突迹象, 中國金融業的發展已通過實施擴大内需的政策影響了中國的内需相關行業。其次, 感應度系數, 2007年是2006年加入WTO的五年。由于所有部門的全面開放, 對外貿易總额平均每年增長30％。結果, 認爲金融業已經受到金融業的影響, 幷受到其影響, 從而形成了良性循环。在2012年和2017年获得的結果相似, 在全球金融危机之后, 中國政府与基础設施的建設和重建有關, 例如《中國制造2025》和"一带一路", 以及中部地區, 東北振興和西部等區域均衡發展的政策。分析表明該行業已經影響了金融業。

• The Journal of the Korea Contents Association
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• v.21 no.9
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• pp.299-311
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• 2021

The purpose of this study is to analyze the ripple effect of the Chinese education industry on the national economy by using the industry-related table of 2017 by the China Statistical Office to use it as policy data for revitalization of the Chinese education industry in the future. To achieve this purpose, 149 industries in the basic classification of the industry-related table were classified into 32 industries. Based on these classifications, by analyzing the production induction coefficient, sensitivity coefficient, influence coefficient, yield inducement coefficient, production tax induction coefficient, and labor induction coefficient, etc. The purpose of this study is to understand the relationship between different industries and to find out the economic impact of the Chinese education industry. The analysis results show that in 2017, the total production induction coefficient of China's education industry was 1.7188, the row total was 1.0626, the sensitivity coefficient was 0.01211, the influence coefficient was 0.01958, the income induction coefficient was 0.6667, the production tax induction coefficient was 0.035, and the final demand was 1 billion yuan. When this occurs, the labor induction coefficient shows a total of 31,254 persons (indirect 15,541 persons, direct 15,713 persons). Based on the analysis results, this study suggested the implications that government support, technology introduction and application of new operating models, policy regulations, and efficient supervision of the system and president are required for further development of the Chinese education industry.

• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.363-374
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• 2021

The purpose of this study is to analyze how much the mining industry contributes to the Mongolian national economy using the 2019 input-output table released by Asian development bank/ERCD in 2021 to understand the characteristics of the Mongolian economy and to use it as a reference. For this study, the Mongolian economy was classified into 35 industries and the contribution of the national economy was analyzed. As a result of the analysis, the total production inducement amount of the Mongolian mining industry was $38,418 million, the total production inducement coefficient was 1.473, the index of sensitivity of dispersion was 1.696, the value added inducement coefficient was 0.707, and the production inducement coefficient was 1.473. It can be seen that the Mongolian mining industry has a higher production inducement effect than other industries, and has great potential for development as a strategic industry leading other industries.

• Proceedings of the Korea Contents Association Conference
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• 2011.05a
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• pp.273-274
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• 2011

관광산업의 산업연관분석은 최근의 서비스산업에 대한 정책적 관심이 증가하고 있는 상황에서 경제적 효과를 측정하는 수단으로 유용성이 높다. 2008년 산업연관표를 통하여 투입계수, 중간투입물과 부가가치율, 생산유발계수, 영향력계수와 감응도계수, 취업계수와 취업유발계수를 도출한다.

• 중국학논총
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• no.71
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• pp.151-167
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• 2021

Looking at the economic effects of the Chinese coal industry analyzed in this text, the following results could be drawn. First, according to the analysis result of the influence coefficient of the Chinese coal industry in 2017, it is mainly rural and regional development It was analyzed that it had a great influence on the necessary sectors. Second, the sensitivity coefficient of the Chinese coal industry in 2017 was presented in the order of electricity and heat production and supply, monetary finance and other financial services, business services, refined petroleum and nuclear fuel processing products, wholesale business, and retail business. It is judged that this is more influenced by government policy than by influence coefficient.

• Membrane Journal
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• v.20 no.1
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• pp.13-20
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• 2010

Using poly(ethylene oxide) (PEO) as a polymer host, poly(ethylene glycol) (PEG) as a plasticizer, potassium iodide and iodine as sources of $I^-/{I_3}^-$ PEO-PEG-KI/$I_2$ polymer gel electrolytes were prepared. Based on the polymer gel electrolytes, solid-state dye-sensitized solar cell(DSSC)s were fabricated. The content of PEG in the electrolyte was changed from 0 to 85%. The electrolyte showed self-supporting form through whole range of the PEG content. As the PEG content increased, the ionic conductivity and ${I_3}^-$ diffusivity increased and the light-to electrical energy conversion efficiency increased under irradiation of 100 $mWcm^{-2}$ simulated sunlight.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.6
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• pp.1361-1368
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• 2009

This study attempts to present investment priorities and select industry for regional economic reinvigorating by analysing regional inter-industry of Chungchong area(including Chungnam and Chungbuk region) After the regional inter-industry table of Chungchong area has been made using a location quotient(LQ) method based on national inter-industry table of 2006 derived from national inter-industry table of 2003 using RAS method, various kind of impacts to Chungchong area are analysed. Manufacturing has the highest result in the result of production-inducing effect and value-added-inducing effect and hotels and restaurants has the highest result in employ-inducing effect. Sensitivity coefficient is highly analysed in mining and quarrying and influential coefficient is highly analysed in manufacturing.

• The Journal of the Korea Contents Association
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• v.16 no.8
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• pp.651-660
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• 2016

This study analyzed the contribution of the national economy, China's textile industry by 2010 I-O Table issued by the Chinese Bureau of Statistics 2013. The results shows that the production inducement coefficient of China's textile industry is the column total 3.6228 and in line total 3.5452, is a key industry that leads the industry in China. Second, the index of the power of dispersion of the Chinese textile industry is 1.1982, index of the sensitivity of dispersion is 1.1725. Third, income inducement coefficient of China's textile industry 0.5228, tax inducement coefficient 0.1522, a value-added inducement coefficient 1. Especially China's textile industry induce 2993.6 trillion yuan(textile industry of 8.6 trillion yuan, up 3.0%) in the national production, value-added inducement 97.1 trillion yuan (textile industry 1.7 trillion yuan, up 2.0%), income inducement 42.8 trillion yuan (textile industry 0.9 one trillion yuan, 2.0%), also tax inducement 15.4 trillion yuan (textile industry 0.3 one trillion yuan, 2.0%).